BMJ Open · Achutha Menon Centre for Health Science Studies D'Esposito, Fabrizio; University of...
Transcript of BMJ Open · Achutha Menon Centre for Health Science Studies D'Esposito, Fabrizio; University of...
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Cluster randomised feasibility trial to improve the Control of
Hypertension In Rural India (CHIRI): a study protocol
Journal: BMJ Open
Manuscript ID bmjopen-2016-012404
Article Type: Protocol
Date Submitted by the Author: 23-Apr-2016
Complete List of Authors: Riddell, Michaela; Monash University, Department of Medicine, School of Clinical Sciences Joshi, Rohina; University of Sydney, The George Institute for Global Health Oldenburg, Brian; University of Melbourne School of Population and Global Health Chow, Clara; University of Sydney, The George Institute for Global Health; Children\'s Hospital at Westmead, Department of Cardiology Thankappan, K; Sree Chitra Tirunal Institute for Medical Science and
Technology, Achutha Menon Centre for Health Science Studies Mahal, Ajay; Monash University, School of Public Health and Preventative Medicine; University of Melbourne School of Population and Global Health, Nossal Institute for Global Health THOMAS, NIHAL; CHRISTIAN MEDICAL COLLEGE, Department of Endocrinology, Diabetes & Metabolism Srikanth, Velandai; Monash University, School of Clinical Sciences at Monash Health Evans, Roger; Monash University, Cardiovascular Disease Program, Biosciences Discovery Institute and Department of Physiology Kalyanram, Kartik; Rishi Valley Rural Health Centre
Kartik, Kamakshi; Rishi Valley Rural Health Centre Maulik, Pallab; The George Institute for Global Health; University of Oxford, George Institute for Global Health Arabshahi, Simin; Monash University, Department of Medicine, School of Clinical Sciences at Monash Health Varma, R; Sree Chitra Tirunal Institute for Medical Science and Technology, Achutha Menon Centre for Health Science Studies Gugilla, Rama; The George Institute for Global Health Suresh, Oduru; Monash University, Department of Medicine, School of Clinical Sciences; Rishi Valley Rural Health Centre Mini, GK; Sree Chitra Tirunal Institute for Medical Science and Technology, Achutha Menon Centre for Health Science Studies
D'Esposito, Fabrizio; University of Melbourne School of Population and Global Health, Centre for Health Equity Sathish, Thirunavukkarasu; University of Melbourne School of Population and Global Health, Centre for Health Equity Mohammed, Alim; The George institute for Global Health, India Thrift, Amanda; Monash University, School of Clinical Sciences at Monash Health
<b>Primary Subject Heading</b>:
Global health
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Secondary Subject Heading: Cardiovascular medicine
Keywords: Hypertension < CARDIOLOGY, prevalence, clinical trial, EDUCATION & TRAINING (see Medical Education & Training), India, self-management
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1
Cluster randomised feasibility trial to improve the Control of Hypertension In Rural India
(CHIRI): a study protocol
Michaela A Riddell1, Rohina Joshi
2 , Brian Oldenburg
3, Clara Chow
2,4, KR Thankappan
5, Ajay
Mahal6,7
, Nihal Thomas8, Velandai K Srikanth
1, Roger G. Evans
9, Kartik Kalyanram
10,
Kamakshi Kartik10
, Pallab K Maulik11,12
, Simin Arabshahi1, RP Varma
5, Rama K Guggilla
11,
Oduru Suresh2,10
, GK Mini5, Fabrizio D’Esposito
3, Thirunavukkarasu Sathish
3, Mohammed
Alim11
, Amanda G Thrift1*
1 School of Clinical Sciences at Monash Health, Monash University, Melbourne Australia
2 The George Institute for Global Health, University of Sydney, Australia
3Melbourne School of Population and Global Health, University of Melbourne, Australia
4 Department of Cardiology, Westmead Hospital, Sydney, Australia
5 Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical
Sciences and Technology, Trivandrum, Kerala, India
6 School of Public Health and Preventative Medicine, Monash University, Melbourne
Australia
7Nossal Institute for Global Health, Melbourne School of Population and Global Health,
University of Melbourne, Australia
8 Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore,
Tamil Nadu, India
9 Cardiovascular Disease Program, Biosciences Discovery Institute and Department of
Physiology, Monash University, Melbourne, Australia
10 Rishi Valley Rural Health Centre, Chittoor District, Andhra Pradesh, India
11George Institute for Global Health, Hyderabad, Telangana, India
12George Institute for Global Health - Oxford University, Oxford, UK
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*Corresponding author:
Professor Amanda Thrift, Principal Investigator, School of Clinical Sciences at Monash Health,
Epidemiology and Prevention Unit, Level 5, Block E Monash Medical Centre, Monash
University, Melbourne AUSTRALIA
Email: [email protected]
Tel: +613-8572-2656
Keywords : Hypertension, prevalence, clinical trial, education, India, self-management
Word Count : 6,267 (includes acknowledgements and trial registration)
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ABSTRACT:
Introduction:
Hypertension is emerging in rural populations of India, with about 25% of adults having
hypertension and less than one fifth of those having their blood pressure under control.
Barriers to diagnosis and treatment of hypertension may differ according to the stage of
epidemiological transition of the region. We aim to estimate the prevalence, awareness,
treatment and control of hypertension; and evaluate the feasibility of a community based
intervention to improve control of hypertension.
Methods and analysis:
This study, conducted in three diverse rural regions in India, includes four main activities: (1)
Approximately 14,500 participants are assessed for risk factors, quality of life,
socioeconomic position, and barriers to changes in alcohol and tobacco behaviour; (2) focus
group discussions with individuals with hypertension and in-depth interviews with health
care providers, to identify barriers to control of hypertension; (3) a medicines-availability
survey to determine the availability, affordability and accessibility of medicines; and (4) an
intervention, comprising peer group based education and support for individuals with
hypertension, for self-management of blood pressure. Communities are randomly allocated
to receive the intervention, provided by village level Accredited Social Health Activists
(ASHAs). Changes in knowledge of hypertension and risk factors, and clinical and
anthropometric measures, are assessed. Evaluation of the intervention by participants
provides insight into perceptions of education and support of self-management delivered by
the ASHAs.
Ethics and Dissemination:
Approval for the overall study was obtained from the Health Ministry’s Screening
Committee, Ministry of Health and Family Welfare (Government of India), governing
institutional review boards at each site, and Monash University. In addition to publication in
peer-reviewed articles, results will be shared with federal, state and local government
health officers, local health care providers and communities.
Trial Registration:
The feasibility trial is registered with the Clinical Trials Registry - India (CTRI)
CTRI/2016/02/006678 (25/02/2016).
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INTRODUCTION
Hypertension is the leading contributor to the global burden of disease and mortality.[1] In
2000, approximately 120 million Indians had high blood pressure and this figure is expected
to increase to about 215 million by 2025.[2] According to a recent systematic review of
hypertension in India overall prevalence of hypertension was estimated to be nearly 30%,
with a significant difference in the overall pooled prevalence between urban (33.8% (95%
Confidence Interval (CI): 29.7, 37.8), and rural (27.6% (95%CI: 23.2, 32.0) populations
nationally. This disparity was particularly marked in West India (pooled prevalence urban
(35.8% (95% CI 35.2, 36.5), and rural (18.1% (95%CI: 16.9, 19.2)).[3] When limited to South
India the pooled estimates, using random effect analysis, for the prevalence of hypertension
in rural and urban populations were not significantly different (urban: 31.5% (95%CI, 23.6,
39.5) vs rural: 28.3% (95%CI, 21.4, 35.1), p = 0.62).[3]
Approximately one quarter of the people with a diagnosis of hypertension are receiving
treatment and, of this population, only approximately 30% has their blood pressure (BP)
within the therapeutic target [4 5] (systolic BP (SBP) <140 mmHg and diastolic BP (DBP) <90
mmHg).[6]
There are many different barriers to the diagnosis and treatment of hypertension in both
urban and rural regions. These barriers likely comprise proximate determinants [7] and
operate at both the individual and systems level.[8] For example, awareness (diagnosis) of
hypertension at the individual level may be influenced by distance to, and utilisation of,
health services, physical inactivity and social factors.[9] System level factors, which may
influence awareness of hypertension, include the knowledge of risk factors by health care
workers, availability of equipment for measuring blood pressure, and quality, availability
and expertise of health care providers. Treatment of hypertension is influenced by age,
distance to health care [10] and socioeconomic position (SEP).[11 12] At the system level,
treatment may be influenced by knowledge and implementation of current treatment
initiation guidelines and availability of medicines.[13] Control of hypertension is likely
influenced individually by adherence to medication, SEP, health literacy and understanding
of chronic disease and risk factors for chronic disease such as physical activity and tobacco
use.[10-12 14] Within health systems, control of hypertension may be influenced by
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understanding of treatment guidelines, availability of medication, and capacity to monitor
and follow up patients.[13]
There is also some emerging evidence that system and individual level barriers may vary
according to the stage of epidemiological, demographic and economic transition of different
populations.[7 15] For example, as the disease patterns in the population change rapidly,
training of the health workforce may not be adequately up-to-date and basic diagnostic
tools (such as BP machines) may be lacking. In regions where the demographic and
economic transition is more advanced, there is a greater prevalence of hypertension and
thus a greater awareness of hypertension-related factors such as obesity and physical
inactivity.[16] In disadvantaged and poverty-stricken communities, where the population
has not yet been exposed to economic development, the epidemiological transition is still in
its early stages.
Disadvantaged communities still comprise the largest proportion of the population in
resource poor countries, but little is known about the awareness of hypertension or of the
individual and system level barriers to its diagnosis and treatment in these settings. An
improved understanding of the awareness of hypertension in such disparate settings and
the barriers to prevention, diagnosis and treatment will provide the critical knowledge base
needed to overcome these barriers. The aims of this research are, within three diverse rural
regions, to (i) estimate the prevalence, awareness, treatment and control of hypertension;
(ii) use these baseline data to develop strategies to better manage hypertension in rural
communities in India; and (iii) evaluate the feasibility of a community-based intervention to
improve self-management and control of hypertension.
The research protocol described herein comprises two phases in each of the three settings,
with phase 1 having three parts:
Phase 1: Baseline assessment
a. A baseline cross-sectional study to obtain information about the prevalence,
awareness, treatment and control of hypertension.
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b. Qualitative studies, comprising focus group discussions among individuals with
hypertension and in-depth interviews with health care providers, to identify individual
and system level barriers to control of hypertension.
c. A medicines-availability survey to determine the availability, affordability and
accessibility of medicines used for treatment of hypertension, type 2 diabetes mellitus
and secondary prevention of cardiovascular diseases.
Phase 2: A feasibility study of an intervention to improve control of hypertension, developed
based on the findings of the cross-sectional survey and qualitative studies. The intervention
has two basic components: a) peer group based education and support for individuals with
hypertension for self-management of blood pressure; and b) health services and workforce
strengthening.
HYPOTHESES
We hypothesise that:
1. Knowledge/awareness of the presence of hypertension and about risk factors associated
with hypertension is greater in the late transition region than in the early transition
region.
2. Prior BP measurement is less common in the early transition region (Rishi Valley) than in
the late (Trivandrum) and medium transition region (West Godavari).
3. In those previously identified as having hypertension, costs of treatment are the greatest
barrier to ongoing management of hypertension in all settings.
4. Poor management of hypertension is more common in women, people living below the
poverty line, and in those who did not finish high school.
5. High salt intake is a major risk factor for hypertension in both men and women in the
late transition region, but its effect is limited to men in the early transition setting.
6. A community based peer group education and self-management programme conducted
by ASHA is feasible.
METHODS AND ANALYSIS
Setting
The study is being conducted in three diverse rural regions in Southern India, each of which
is at a different stage of economic and demographic transition: Trivandrum in Kerala, the
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West Godavari District in Northern Andhra Pradesh (AP) and the Rishi Valley region in
Southern AP (see Supplementary Figure 1).
Trivandrum, Kerala (late transition): Kerala is the most advanced state in demographic and
epidemiological transition in India.[17] Life expectancy is 76.4 years[18] and literacy is
93.9%.[19] Approximately half of the population in the state resides in non-urban areas.[20]
Changes in cultivation patterns from food crops to more profitable cash crops and large
scale international migration has rendered Kerala both a wealthier and a less agrarian state
than the rest of India.[18 21]
West Godavari, AP (medium transition): The Western Godavari study region comprises 897
villages. Life expectancy in Andhra Pradesh in 2001-6 was 62.8 years for men and 65 years
for females.[22] In 2011 approximately 75% of the population in West Godavari was literate,
and the majority of the residents (79.5%) lived in rural areas.[23]
Rishi Valley, AP (early transition): This rural site is located in the Kurabalakota Mandal, which
contains seven villages, in the Chittoor District near the South Western border of AP.
Approximately 38,000 residents in Kurabalakota Mandal reside in 221 hamlets
(habitations/sub-villages). Hamlets are the smallest administrative geographic units in this
region. The population of this Mandal are largely subsistence farmers and are economically
disadvantaged with an average monthly household income well below the global standard
for poverty. Approximately half the population in this region is estimated to have no formal
schooling.[24]
Study design/sampling frame
Wards/villages/hamlets of a larger mandal (also known as taluk), were identified as the
primary sampling unit (PSU). At each study site these PSUs were then randomly selected for
inclusion in the cross-sectional survey (Phase 1 of the study, Figure 1) using computer-
generated random numbers. For Trivandrum the PSU is wards, for West Godavari the PSU is
villages and for the Rishi Valley site the PSU is hamlets (habitations) (see supplementary
Figure 2A, 2B and 2C for site specific sampling frames).
1a: Baseline cross-sectional survey
A cross-sectional survey was initially conducted to quantify the burden and awareness of
hypertension and examine how the barriers to diagnosis and management differ between
settings. Recruitment for this study commenced in January 2014 and was completed in
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December 2015. Approximately 14,500 adults living in the study areas have been selected to
provide data for the baseline survey. The role of gender, socioeconomic deprivation, and
education on the diagnosis and management of hypertension in each of the three rural
areas is being explored. The data have been used to design the intervention component of
the study.
Recruitment to cross-sectional survey
Population censuses (specifically completed for this study or existing polling booth registers)
at each site were used to randomly select potential participants. In Trivandrum and West
Godavari sampling was stratified by age and sex using this approach. However, due to
structural factors related to distance between hamlets and demography, this was not
feasible in the Rishi Valley region. Residents of the PSU over the age of 18 years were
eligible for recruitment to the cross-sectional survey.
Trivandrum: Among the 14 districts in Kerala, Trivandrum district was selected based on its
proximity to the collaborating institute (Sree Chitra Tirunal Institute for Medical Sciences
and Technology). Chirayinkizhu taluk was selected randomly from the four taluks in
Trivandrum district. Of the 22 Panchayats (local administrative body in rural areas) within
Chirayinkizhu taluk, ten were randomly selected. From each of the selected Panchayats one
ward (the smallest geographic unit of a Panchayat) was randomly selected. In each ward,
using the polling booth list, the total number of individuals was divided into 12 age and sex
groups (18-24, 25-34, 35-44, 45-54, 55-64 and 65+). From each group 30 individuals were
randomly selected to get a total sample of 360 in each ward. Thus 3600 participants were
selected in the Trivandrum district to participate in the cross-sectional survey. Additional
sampling was conducted (40 from each age and sex band) to replace those participants who
had migrated, died or refused to participate.
West Godavari: A sampling frame was developed by mapping all 17 Primary Health Centres
(PHCs) within a 50 km radius around the town of Bhimavaram. We excluded those PHCs
participating in other studies conducted by the George Institute and randomly selected 10
of the remaining PHCs. All the villages serviced by each PHC were included in the list.
Villages with fewer than 3000 residents were excluded. One village was then randomly
selected from each PHC, resulting in inclusion of 10 villages. Mapping all the selected
villages enabled generation of an age and sex population list with house addresses.
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Population lists from the mapping were used to randomly select 4500 individuals over the
age of 18 years from each participating village. Additional sampling was conducted to
replace those participants who had migrated, died or refused to participate. Sampling was
stratified by 12 groups defined by age (18-24, 25-34, 35-44, 45-54, 55-64, 65+) and sex with
the goal of including comparable numbers of individuals from each group.
Rishi Valley region: Hamlets were randomly selected in accordance with the sampling
strategy using computer-generated random numbers (generated at Monash University). A
study centre was set up in a communal area of the hamlet convenient for all the residents.
All residents above the age of 18 years were invited to participate in the cross-sectional
survey. Research officers ensured that all residents were informed of the presence of the
study team in the habitation by house to house notification and encouragement to attend.
Data collection/measurement
The instruments and measurements chosen for this project are based on recommendations
from the World Health Organization (WHO) STEPwise approach to disease surveillance
(WHO STEPS) [25] and other validated tools for quality of life, socioeconomic position (SEP),
and barriers to changes in alcohol and tobacco behaviour as listed in Supplementary Table 1.
The list of measures comprise (1) basic demographic information including age, income,
gender, marital status, religion, number of children, and type of work undertaken; (2)
lifestyle-related factors such as physical activity, tobacco use, and alcohol consumption,
dietary factors, including cooking practices and use of salt, stress, and overcrowding; (3)
knowledge about hypertension and its risk factors, awareness of hypertensive status, and
reports of the timing and outcome of prior blood pressure measurements; and (4) further
details about use of medications (both allopathic and AYUSH or other traditional therapies),
barriers to treatment including access, cost, adoption of lifestyle factors and compliance
with medication use (see Supplementary Table 1 for full list of variables). Questionnaires
were developed in English and then translated into the site-specific language (Telugu (AP),
Malayalam (Kerala)) and back translated to detect and correct errors.
Standardised clinical measurements are collected as follows; arterial BP and heart rate are
measured after the participant has sat quietly for at least 15 minutes. BP is measured at
least three times at three minute intervals using the appropriate cuff size and a Digital
Automatic Blood Pressure Monitor (DABPM- OMRON HEM-907, OMRON Healthcare
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Company, Kyoto, Japan) according to the WHO STEPs protocol, modified only by using the
right arm for all measurements.[25] Measurement continues until two consecutive readings
differ by <10 mmHg systolic and <6 mmHg diastolic, with a maximum of five measurements.
The mean of the last two consecutive measurements are used to define hypertensive status.
Height is measured to the nearest 0.1 cm using a portable stadiometer (213, Seca, Hamburg,
Germany). Weight is measured to the nearest 0.1 kg using a portable digital weighing scale
(9000SV3R, Salter, Kent, UK). Waist and hip circumference is measured using a spring-
loaded tension tape (Gulick M-22C, Patterson Medical, Illinois, United States) in a private
setting. In accordance with the WHO STEPS protocol [25] waist circumference is measured
at the midpoint between the lowest rib and upper point of the iliac crest and at the end of
normal expiration and hip circumference is measured at the maximum protrusion of the
buttocks.
Data collectors are trained in collection of anthropometric measures, in accordance with the
WHO STEPS protocol,[25] for at least 5 days, to ensure consistency of data collection
between sites. Further training is undertaken to ensure that administration of the
questionnaire is also consistent across all sites. Training is conducted by the project
manager and site supervisors.
Definitions: Participants whose measured mean systolic BP (SBP) is ≥140 mmHg and/or
mean diastolic BP (DBP) is ≥ 90 mmHg or who are taking medication for lowering blood
pressure are defined as hypertensive.[6] Waist circumference is deemed high when >80 cm
in women and >90 cm in men. A body mass index (BMI) ≥ 23 kg/m2 is defined as obese
according to current guidelines for Asian Indians.[26]
Outcomes
Socio-demographic and economic characteristics of each population are determined,
including gender, SEP, education, income and expenditure. Information on utilisation of
health care, physical activity, tobacco use and consumption of alcohol are also collected.
Primary outcomes for Phase 1a of the study are prevalence, awareness, treatment, control,
knowledge of hypertension and associated risk factors. We compare knowledge of
hypertension, previous measurement of BP and barriers to treatment and management
(such as cost, education and SEP) of hypertension across study sites. Good (BP<140/90
mmHg) or poor (SBP≥140 mmHg or DBP≥90 mmHg) control of hypertension is assessed in
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relation to lifestyle factors (physical activity, use of tobacco and consumption of alcohol),
dietary factors (including salt intake) and health care utilisation. Attitudes to healthy
behaviour change are also assessed.
Qualitative studies to identify barriers (Phase 1b)
To further investigate barriers to diagnosis, treatment and control of hypertension, focus
group discussions with people having hypertension are used to explore peoples’ experiences
with health care systems and their perceptions and beliefs about hypertension in
accordance with predetermined and shared exploratory questions. Up to four focus groups
involving up to 10 people with hypertension in each focus group, identified in the cross-
sectional survey as being aware of their hypertension status, are conducted at each site
(refer Supplementary Figure 2A, 2B, and 2C). Focus groups are voice recorded and a second
research officer takes notes throughout the session. The recordings are translated and
transcribed into English and checked for accuracy with the research notes. Data analysis is
carried out using the process described by Green and colleagues.[27] We use a socio-
ecological approach to the identification of themes, which considers the complex interplay
between individual, social, and systemic factors.[28-30]
In-depth interviews are carried out with health care providers at each site to explore
management of hypertension, and perceptions of the health care system in relation to
screening and management of hypertension and other chronic conditions.
Medicine pricing and availability: (Phase 1c)
To investigate the availability and price of medicines for hypertension and other related
non-communicable diseases (e.g. cardiovascular diseases [CVD], type 2 diabetes) a cross-
sectional survey of price and availability of essential medicines is undertaken. Included in
this survey are public (hospitals, clinics and health facilities), private (licensed retail
pharmacies and licensed drug stores) and ‘other’ sector medicine outlets (facilities selling
medicines at subsidised prices to all patients) located in the sampling frames of the CHIRI
study sites in AP and Kerala (refer Supplementary Figure 2A, 2B, and 2C). The medicines
selected for review are those used for treatment of hypertension, secondary prevention of
CVD, and treatment of type 2 diabetes mellitus and that are listed in the WHO Model List of
Essential Medicines,[31] National List of Essential Medicines of India,[32] Essential
Medicines List of the Government of (unified) Andhra Pradesh and the Rational Drug List
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2012-13 of Kerala Medical Services Corporation Ltd.[33] The study methods have been
developed based on the WHO/HAI (Health Action International) methodology for measuring
medicine prices, availability, affordability and price components.[34] The survey is being
conducted across 20 public, 16 private and 2 ‘other’ sector pharmacies in the three regions.
Phase 2: Feasibility of a community based programme for management of hypertension
facilitated by Accredited Social Health Activists (ASHA)
Phase 2 of the study is a feasibility trial which incorporates random allocation of
approximately 20% of the PSUs to the intervention and 40% of the PSUs to the control
condition (Figure 1). Specifically for the Trivandrum region two of 10 wards are allocated to
the intervention and four of 10 wards are allocated to the control condition. For the West
Godavari region two of 10 villages are allocated to the intervention and four of 10 villages
are allocated to the control condition. For the Rishi Valley region one of six hamlets is
allocated to the intervention and two of six hamlets to the control condition.
Allocation of only a subset of the initial PSUs was necessary due to budgetary and
programme timeline constraints. Random allocation of the PSUs to intervention or non-
intervention conditions is undertaken by a principal investigator at each site (Figure 1). As
this is a feasibility study, the sample size for those receiving the intervention is not powered
to determine effectiveness. However, changes in individual measurements over time are
assessed. The intervention addresses those factors identified during the qualitative and
cross-sectional studies which contribute to control of hypertension in these settings and
includes both management and control strategies aimed at the individual, health service
delivery and policy levels.
Blinding
As this is a behavioural intervention programme, the people delivering the intervention
cannot be blinded to the intervention group. However, participants in the control regions
remain unaware of the intervention programme, and outcome assessors are blinded to the
intervention allocation of participants.
Recruitment and eligibility
Community members from the randomly selected PSUs, who are identified as hypertensive
in the cross-sectional study, are invited to participate in the intervention and control arms in
accordance with eligibility criteria given below (also see Figure 2). Recruitment commenced
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in January 2016, and the intervention is expected to be completed in June 2016. Participants
are approached at their homes after identification, and recruited and consented during this
visit. For the intervention sites, the list of consented participants is provided to the
Accredited Social Health Activists (ASHAs) from those villages.
Eligible participants are those who:
1. Indicate they are aware of being hypertensive in the cross-sectional survey.
2. Are identified as having an average SBP of ≥140 mmHg and/or DBP ≥90 mmHg at the
cross-sectional survey, subsequently attend their primary health care provider and are
then formally clinically diagnosed with hypertension. Verification occurs by sourcing the
medical record, contacting the health care provider or by confirmation of use of
medication(s) for hypertension (as observed);
3. Have an average BP of ≥140 mmHg SBP and/or ≥90 mmHg DBP during the cross-
sectional survey and then, at the time of recruitment to the intervention (or control),
have their blood pressure remeasured, and are found to still have an average BP of ≥140
mmHg SBP and/or ≥90 mmHg DBP.
4. Are taking medication(s) for hypertension (including diuretics, ACE inhibitors,
angiotensin II antagonists, β-blockers, Ca++
channel blockers or renin inhibitors.)
Intervention components
The intervention arm incorporates a community based self-management and education
support group, led by ASHAs, every 2 weeks for 3 months (i.e. six meetings). ASHAs are
female lay health workers, residing in each village, most of whom have completed
secondary schooling. Their work accountability primarily lies within the purview of the
Village Health Sanitation and Nutrition Committee (VHSNC) which is a committee formed at
the revenue village level and acts as a sub-committee of Gram Panchayat. They are
compensated for their time in specific situations (attending training and meetings) and
given incentives under various national health programmes, predominantly for maternal
and child health.
Content for the intervention components was driven by preliminary analysis of the cross-
sectional data which reflected poor knowledge of hypertension. Furthermore principles of
the Chronic Disease Self-Management Program (CDSMP) as described by Lorig,[35] and
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found to significantly contribute to improved self-management, were incorporated into the
programme content.[36] Content includes strategies to increase knowledge and
understanding of the disease, promote healthy behaviour change and clinical interaction
through goal setting. At each group meeting participants are weighed, have their blood
pressure measured and receive self-management and lifestyle education (Figure 3) from
locally sourced “expert” advisers. These advisers may include, but will not be limited to,
clinicians from the primary health centre servicing the region, pharmacists, and nutritional
advisors.
ASHA Training
For the intervention, ASHAs in each location are trained to deliver the self-management
sessions of the intervention and to collect data regarding the implementation of the
intervention. At the beginning of the first training session the knowledge of ASHAs regarding
hypertension and other non-communicable diseases (NCDs) and their skills in measuring BP
and recording weight are assessed. The 5-day training regimen includes education about
NCDs that is based on, and complimentary to, the existing ASHA training Module for NCDs
(Module # 8),[37] measurement and recording of BP and weight, and maintaining records of
each meeting (attendance, measurements, meeting content, record problems or issues
faced by participants). Additionally, ASHAs are trained to deliver the educational material
regarding hypertension and self-management using pictorial flip-chart resources developed
for the intervention. ASHAs are also trained to initiate and support self-management of
hypertension by the participants through goal-setting. Incentives for ASHA are based on
remuneration under the schedule for Village Health Sanitation and Nutrition Committee
Activities [38] as well as Village Health and Nutrition Days.[39] In the two regions in Andhra
Pradesh the ASHAs are incentivised to promote attendance by as many participant and
support members as possible, via payment of 200 Indian rupees per meeting if more than
75% of enrolled participants attend. Thus, those that do not attend one meeting will be
followed up by an ASHA and encouraged to attend the next meeting. In the Kerala site the
ASHAs are paid according to remuneration under the schedule for Village Health Sanitation
and Nutrition Committee Activities [38] as well as Village Health and Nutrition Days,[39] and
were not paid extra when more than 75% of participants attended.
Self-management education and group-based support
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Each community group comprises up to 20 individuals with hypertension. The community-
based support group is supported and promoted by the Panchayat at each site. The
Sarpanch (the elected head of village) provides a letter of support and encouragement for
the intervention activities. This letter is enclosed with the letter of invitation to participate
in the intervention. The facilitator of the group, either the appointed village ASHA
(Trivandrum, West Godavari and Rishi Valley regions) or a person with equivalent
qualifications employed for the project (West Godavari region), is assisted by a member of
the research team at each meeting. The facilitator of the group organises and schedules
meetings, collects data during the meeting, and submits these data to the research team.
Each of the six meetings lasts approximately 90 minutes, and consists of various topics
related to hypertension (see Table 1). Next of kin or additional support persons are
encouraged to accompany and support the person with hypertension at each group meeting.
Table 1: Meeting schedule and details of meeting content
Meeting
Number
Topic Detailed information provided
1 Introduction Education session: what is hypertension?, risk factors,
chronic nature of disease “know your numbers”, etc to be
carried out by a local health care provider
2 Self-management
education
Risk factors and modifiable activities to improve control/
management. Importance of medication adherence
3 Physical activity Incorporating physical activity into your day, including
group physical activity
4 Nutrition and Diet Importance of salt reduction (including recipes)/ alcohol
reduction/ dietary assistance/ increased fruit and vegetable
consumption (it is especially important for women to be
given strategies to save some vegetables and meat for
themselves)
5 Practical Self-
management
Practical ways to improve your control / management
(medication diary/ reminder system, etc). A pharmacist may
attend and provide information about drug availability
6 Next steps/
continuation
plans
Review, changes made, ongoing difficulties, ongoing group
activities
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Because of the nature of the intervention, a community-based peer support group with self-
management education, no data safety monitoring committee is required.
The community-based groups are used to educate group members about hypertension as
well as implement and enhance strategies for self-management of hypertension and related
NCDs (Table 1 and Figure 3). Resources developed specifically for the intervention are
primarily pictorial to ensure consistency of information at each site and to account for
disparities in educational levels across the three sites.[24]
Health systems activities/interaction
This feasibility study incorporates interaction and active involvement with providers from
the structured health systems. Involvement of the health providers (at primary, community
and sub-health centre levels) may strengthen and complement the group-based
intervention as well as enhance follow-up interactions with the health system (including
clinical and pharmaceutical services). The facilities of health care providers serving the
communities, selected for the baseline study, are assessed to identify how equipment and
staffing could be supported to improve diagnosis, treatment and ongoing management of
hypertension.
Analysis of the costs of the intervention
Costs of the intervention will be assessed in terms of programme costs such as ASHA
incentives and meeting set-up costs. Cost of developing resources including development
time and production of resources will inform this analysis
Outcomes of the Intervention
Participants attending the group meetings are revisited approximately 6 - 8 weeks after the
last meeting to complete final data collection. In these participants, and in those in the
control arm, we re-measure BP and anthropometry and re-asses health care utilisation,
attitudes to behaviour change and activities related to self-management of hypertension
(see Supplementary Table 1). Changes in continuous and categorical variables are assessed
relative to their values determined at the time of the cross-sectional survey. These include
SBP, DBP, waist and hip circumference, and weight. Medication initiation and any dosage
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changes (observed and documented) are recorded. Medication adherence to BP lowering
medication is assessed in accordance with the Hill-Bone Compliance Adherence survey.[40]
This survey is used to assess use of prescribed medication over the prior 2-week period.[40]
Knowledge about hypertension and associated risk factors relating to hypertension is
reassessed, along with physical activity over the 2 weeks prior to final administration of the
questionnaire. Barriers to attending the meetings are assessed, as are engagement and
utilisation of health services during the period of the intervention.
Perceptions by participants of the level of support obtained from the ASHA [41 42] is
assessed in the final survey using a three scale response (not at all/some of the time/all of
the time). Usefulness of advice and self-management assistance received by the participant
is assessed using a seven-point Likert scale (a little useful to extremely useful).
Encouragement and support received, as perceived by the participant, resulting from
various group meeting activities is assessed using a four-point response (no support, a little,
moderate, a lot of support).
After each meeting ASHAs complete a meeting report to aid the assessment of fidelity of the
meeting structure and content to the protocol (Supplementary Table 2). This report includes
details of the meetings such as the number of enrolled participants and community
members attending the meeting, and major activities undertaken during the meeting.
Additional activities by the ASHA to extend the healthy behaviour messages, such as
tobacco cessation and physical activity, as well as behaviours specific to the management of
hypertension from the meeting to the wider community by the ASHAs is also measured
categorically (Yes/No). This measure captures support/interactions of ASHAs with meeting
participants outside the meeting and their discussions of the meeting content with other
members of the community and/or with community leaders or health service members.
Members of the research team also complete a report after each meeting to provide further
information about the meeting activities and detail the shared experiences or difficulties of
the participants in managing their hypertension or achieving their goals (Supplementary
Table 2). These reports are used to assess the fidelity of the implementation of the
intervention to the protocol.
System outcomes of the programme are obtained via surveys of ASHAs at the end of the
intervention (and compared to surveys conducted at the commencement of the
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intervention) to assess changes in knowledge of ASHAs (Supplementary Table 2). We also
assess the integration or engagement of health providers in the programme by assessing
their participation during the intervention. Furthermore, participants provide information
about other providers of assistance and information/advice (health care team and
family/friends/community) and assess meeting activities (goal setting, attendance, problem
solving) for delivering self-management support. The overall response rate (people with
hypertension in the cross-sectional survey, number consented to participate in meetings) is
calculated and participants who discontinue the programme are asked to complete a
programme evaluation form and to undertake final measurements at the end of the
intervention.
Data Management
All assessments and data forms are checked on the day of completion. Any forms with
missing data or inconsistencies are returned to the Health Worker for completion. Data are
coded and entered as the study progresses. Edit checks are performed and data verified as
necessary.
All forms are designed in TELEform Elite version 10.5®. Completed questionnaires are
electronically scanned into a computer using a Tagged Image File Format (TIFF). These data
are then transferred to Monash University and uploaded into a Microsoft Access database
using TELEform. The database contains no identifying information and is housed on a secure
server at Monash University. All principal investigators will have access to the de-identified
final data.
Data Analysis
Analysis will be based on intention to treat. For individual outcomes proportions will be
compared using Chi-squared (χ2) test
and continuous measures will be compared using
Student’s unpaired t-test. Univariable analysis will also be undertaken using logistic and
linear regression. Multivariable analyses will be adjusted for age, sex and study site.
Considering the unequal distribution of age and sex in the participating population,
appropriate sampling weights will be applied to all data analyses.
Knowledge/awareness of the presence of hypertension and about risk factors will be
calculated using the known (and measured) prevalence of hypertension in each population.
Between-group differences in knowledge, previous measurement of hypertension, and
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barriers to treatment and their change over time will be compared using χ2. Logistic
regression (appropriate for the binary outcome variable of presence/absence of BP≥140/90
mmHg) will be used to study the factors associated with control of hypertension. Those
factors identified as either potentially significant (p < 0.20) or biologically relevant will then
be introduced into multivariable regression analyses in a backward stepwise fashion to
construct a predictive model for good management of hypertension. This technique enables
the assessment of both categorical variables (e.g. gender) as well as continuous variables
(e.g. age). The scales of the continuous covariates will be checked for suitability using
fractional polynomial plots. Collinearity between variables will be evaluated using partial
correlations. In addition, routine diagnostic tests (Hosmer-Lemeshow test) will be used to
validate the fitted model. We will test efficacy of the intervention by analysis of covariance.
This allows us to adjust for baseline differences between groups.
Ethics and Dissemination
Approval for the overall study was obtained from the Health Ministry’s Screening
Committee, Ministry of Health & Family Welfare, Government of India (No.
58/4/Indo_CHR/2013/NCD-II) and Monash University Human Research Ethics Committee
(MUHREC number 2013001327). Each site obtained ethics approval from individual
governing institutional review boards (IRBs) for site specific aspects of the study. The site in
Trivandrum obtained approval from Sree Chitra Tirunal Institute for Medical Sciences and
Technology Institutional Ethics Committee (IEC Regn No. ECR/189/Inst/KL/2013). The West
Godavari site obtained approval from the Centre for Chronic Disease Control, New Delhi (IEC:
IRB00006330). The Rishi Valley site obtained approval from the IRBs of the Rishi Valley
Education Centre and Christian Medical Centre, Vellore (IRB Min No. 8313). Prior to
inclusion in the survey, Sarpanches are approached to obtain approval for the study team to
seek participation from the residents of the village in the study.
All participants are provided a written participant information sheet and informed consent
form in the local language. The study research staff at each site is responsible for obtaining
informed consent. For those participants who are illiterate, the participant information
sheet is read out to them. All participants sign (thumb print for those who are illiterate) the
informed consent form.
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Each consenting participant is assigned a study identification number. To maintain
confidentiality all questionnaires, and other study documents, include only this
identification number, with no identifying information present.
Feedback from study phases 1b and 1c will be consolidated after the intervention and
disseminated to public health systems to inform health provision services. Based on
medicines availability (Phase 1c) and qualitative feedback from focus groups and in depth
interviews (Phase 1b) a treatment algorithm/guideline which is consistent with the Indian
Hypertension management guidelines [6] will be developed. In order to strengthen the
integration of community-based and delivered education programmes for self-management
of health into the local primary health care system, we will disseminate the following
information to benefit local health services through:
1. sharing of information gained from the cross-sectional survey;
2. developing resources for use by health system staff for assessing and treating
hypertension;
3. providing details to health centres about the resources and training they require to
support such an intervention.
We will also disseminate the following information to improve availability of pharmaceutical
preparations:
1. informing pharmacies about medicine availability and possibilities for providing
medications to suit communities enrolled in the intervention;
2. discussing options for enhancing or improving medication adherence (by addressing
availability, dosing and packaging options).
Results will be shared with the Ministry of Health & Welfare and officials of the National
Health Mission and relevant local health care providers and communities at each of the sites.
Further dissemination of the results to research, clinical and health communities will be
pursued via international peer-reviewed journal articles and conference presentations. The
Global Alliance of Chronic Diseases (GACD) will also be informed of the findings of the study.
DISCUSSION
Comprehensive assessment of the barriers to control of hypertension across three diverse
settings will provide important information about the diversity of barriers to care across
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settings. Development of an intervention programme, based on the individual and system
barriers identified and tailored to the specific needs of each area included in the study, may
provide a solution to address the current deficiencies in managing hypertension across rural
regions. We will also be able to determine the feasibility of using ASHAs to deliver a
community group based self-management programme for management of hypertension.
Because ASHAs are employed in most rural regions, the programme is more likely to be
scalable across rural India, if government can be encouraged to fund ASHAs to manage non-
communicable diseases or to identify a new cadre of village health workers to work in the
area of non-communicable disease. This information will also contribute to disease
prevention at a global level as the lessons learned could be suitably adapted across other
similar settings.
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AUTHOR’S CONTRIBUTIONS
MAR wrote the first draft of the manuscript. AGT is the Principal Investigator, and conceived
the study. All authors provided input into the study design, provided intellectual input to the
manuscript, and approved the final version of the manuscript.
FUNDING STATEMENT
This work was funded by The National Health and Medical Research Council (NHMRC) under
the Global Alliance for Chronic Disease (GACD) programme (grant number GNT1040030),
with additional funds provided from Monash University (via the principal investigator). AGT
was supported by a fellowship from the NHMRC (GNT1042600). PKM is a Wellcome
Trust/Department of Biotechnology Intermediate Career Fellow. RJ was supported by a
fellowship from the National Heart Foundation (GNT100484). The funders had no role in the
design or conduct of the study, and no role in the decision to submit the protocol for
publication.
DECLARATIONS OF INTEREST
Michaela A Riddell has nothing to disclose
Rohina Joshi reports grants from National Health & Medical Research Council, during the
conduct of the study
Brian Oldenburg has nothing to disclose
Clara Chow reports grants from National Health & Medical Research Council, during the
conduct of the study
KR Thankappan has nothing to disclose.
Ajay Mahal reports grants from National Health & Medical Research Council, during the
conduct of the study
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Nihal Thomas reports grants from National Health & Medical Research Council, during the
conduct of the study
Velandai K Srikanth reports grants from National Health & Medical Research Council, during
the conduct of the study
Roger G. Evans reports receiving grant funding from the Australian National Health and
Medical Research Council
Kartik Kalyanram has nothing to disclose
Kamakshi Kartik has nothing to disclose
Pallab K Maulik reports receiving an Intermediate Career Fellowship from the Wellcome
Trust/DBT India Alliance, during the conduct of the study
Simin Arabshahi reports grants from National Health and Medical Research Council, during
the conduct of the study
RP Varma has nothing to disclose
Rama K Guggilla has nothing to disclose
Oduru Suresh has nothing to disclose
GK Mini has nothing to disclose
Fabrizio D’Esposito has nothing to disclose
Thirunavukkarasu Sathish has nothing to disclose
Mohammed Alim has nothing to disclose
Amanda G Thrift reports grants from National Health and Medical Research Council
(GNT1040030 and GNT1042600), grants from Monash University, during the conduct of the
study
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China: results from a national survey. Am J Hypertens 2014;27(11):1355-61. doi:
10.1093/ajh/hpu053
13 Maimaris W, Paty J, Perel P, et al. The influence of health systems on hypertension awareness,
treatment, and control: a systematic literature review. PLoS Med 2013;10(7):e1001490. doi:
10.1371/journal.pmed.1001490
14 Powers BJ, Olsen MK, Oddone EZ, et al. Literacy and blood pressure – do healthcare systems
influence this relationship? A cross-sectional study. BMC Health Serv Res 2008;8(1):1-9. doi:
10.1186/1472-6963-8-219
15 Kahn K, Tollman S, Thorogood M, et al. Older adults and the health transition in Agincourt, rural
South Africa: New understanding, growing complexity. In: Cohen B, Menken J, eds. Aging in
Sub-Saharan Africa: Recommendations for Furthering Research. Washington DC: The
National Aacademies Press, 2006:166-88.
16 Prabhakaran D, Chaturvedi V, Shah P, et al. Differences in the prevalence of metabolic syndrome
in urban and rural India: a problem of urbanization. Chronic Illn 2007;3(1):8-19. doi:
10.1177/1742395307079197
17 Peters DH, Rao KS, Fryatt R. Lumping and splitting: the health policy agenda in India. Health Policy
Plan 2003;18(3):249-60. doi: 10.1093/heapol/czg031
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18 State Planning Board. Human Development Report,: Government of Kerala, 2005. Available at
http://planningcommission.nic.in/plans/stateplan/sdr_pdf/shdr_kerala05.pdf. Accessed
April 2016.
19 Office of the Registrar General of India. Census of India. 2011. Available at
http://www.censusindia.gov.in/2011-prov-results/prov_data_products_kerala_.html.
Accessed April 2016.
20 C-14 Five Year Age Group Data By Residence And Sex. Secondary C-14 five year age group data by
residence and sex 2011. Avaialable at http://www.censusindia.gov.in/2011census/C-
series/C-14.html. Accessed April 2016.
21 Thankappan KR. Some health implications of globalization in Kerala, India. Bull World Health
Organ 2001;79(9):892-3.
22 Infochange India. Life Expectancy for Males and Females in Selected States in India. Secondary
Life Expectancy for Males and Females in Selected States in India. 2012. Available at
http://infochangeindia.org/public-health/statistics/life-expectancy-for-males-and-females-
in-selected-states-in-india.html. Accessed April 2016.
23 Government of India. Census 2011. Secondary Census 2011. 2015. Available at
http://www.census2011.co.in/census/district/ Accessed April 2016.
24 Thrift AG, Evans RG, Kalyanram K, et al. Gender-specific effects of caste and salt on hypertension
in poverty: a population-based study. J Hypertens 2011;29(3):443-50. doi:
10.1097/HJH.0b013e328341888c
25 World Health Organization. Section 3: Guide to Physical Measurements (Step 2). WHO STEPS
Surveillance Manual - Updated: 13 June 2008; (Part 3: Training and Practical Guides,).
Available at http://www.who.int/chp/steps/Part3_Section3.pdf Accessed April 2016.
26 Misra A, Chowbey P, Makkar BM, et al. Consensus statement for diagnosis of obesity, abdominal
obesity and the metabolic syndrome for Asian Indians and recommendations for physical
activity, medical and surgical management. J Assoc Physicians India 2009;57:163-70.
27 Green J, Willis K, Hughes E, et al. Generating best evidence from qualitative research: the role of
data analysis. Aust N Z J Public Health 2007;31(6):545-50. doi: 10.1111/j.1753-
6405.2007.00141.x
28 Bartholomew LK, Parcel GS, Kok G, et al. Planning Health Promotion Programs: An Intervention
Mapping Approach. 1 ed. San Francisco (CA): Jossey-Bass, 2006.
29 Stokols D. Translating social ecological theory into guidelines for community health promotion.
Am J Health Promot 1996;10(4):282-98.
30 Stokols D, Allen J, Bellingham RL. The social ecology of health promotion: implications for
research and practice. Am J Health Promot 1996;10(4):247-51
31 World Health Organization. 18th WHO Model List of Essential Medicines, April 2013. Available at
http://apps.who.int/iris/bitstream/10665/93142/1/EML_18_eng.pdf?ua=1. Accessed April
2016.
32 Ministry of Health and Family Welfare. National List of Essential Medicines of India, 2011.
Available at http://apps.who.int/medicinedocs/documents/s18693en/s18693en.pdf.
Accessed April 2016.
33 Health Medical and Family Welfare Department Government of Andhra Pradesh. Essential
Medicines List 2010. Available at http://aptribes.gov.in/Health/115_13052010Health.pdf.
Accessed April 2016.
34 World Health Organization and Health Action International. Measuring medicine prices,
availability, affordability and price components. 2nd ed. Geneva: World Health Organization,
2008. Available at http://www.who.int/medicines/areas/access/OMS_Medicine_prices.pdf.
Accessed April 2016.
35 Lorig KR, Sobel DS, Stewart AL, et al. Evidence suggesting that a chronic disease self-management
program can improve health status while reducing hospitalization: a randomized trial. Med
Care 1999;37(1):5-14.
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36 Franek J. Self-Management support interventions for persons with chronic disease: An evidence-
based analysis. Ontario Health Technol Assess Ser 2013;13(9):1-60. Available from:
http://www.hqontario.ca/en/documents/eds/2013/full-report-OCDM-self-management.pdf.
Accessed April 2016.
37 Ministry of Health and Family Welfare. Secondary Reading Material for ASHA. Role in Prevention
and Control of Non Communicable Diseases (NCDs). Book No. 8, 2009. Available at
http://mohfw.nic.in/showfile.php?lid=656. Accessed April 2016.
38 National Rural Health Mission. Community Processes Guidelines - 2013. New Delhi, 2013.
Available at http://nrhm.gov.in/images/pdf/communitisation/asha/Orders-
Guidelines/Guidelines_for_Community_Processes_2014_English.pdf. Accessed April 2016.
39 National Rural Health Mission. Guidelines for Village Health Sanitation and Nutrition Committee
Part B. In: Gupta A, ed. Guidelines for Community Processes. New Delhi: Ministry of Health
and Family Welfare, 2013:29. Available at
http://nrhm.gov.in/images/pdf/communitisation/vhsnc/order-
guidelines/Guidelines_for_Community_Processes_2014%20English.pdf. Accessed April 2016.
40 Kim MT, Hill MN, Bone LR, et al. Development and testing of the Hill-Bone Compliance to High
Blood Pressure Therapy Scale. Prog Cardiovasc Nurs 2000;15(3):90-6.
41 Glasgow RE, Whitesides H, Nelson CC, et al. Use of the Patient Assessment of Chronic Illness Care
(PACIC) with diabetic patients: relationship to patient characteristics, receipt of care, and
self-management. Diabetes Care 2005;28(11):2655-61. doi: 10.2337/diacare.28.11.2655
42 McCormack LA, Williams-Piehota PA, Bann CM, et al. Development and validation of an
instrument to measure resources and support for chronic illness self-management: a model
using diabetes. Diabetes Educ 2008;34(4):707-18. doi: 10.1177/0145721708321021
34/4/707 [pii]
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Figure Legends:
Figure 1: CHIRI Study Design outlines the approach taken to select and survey the
populations. Primary Sampling Unit (PSU)
Figure 2: Recruitment flow chart for intervention study. Residents of the Primary sampling
unit who participated in the baseline cross sectional survey are eligible to be recruited into
the feasibility trial (intervention and control arms) based on the criteria and recruitment
flow chart depicted here. BP – blood Pressure, HCP – Health Care Provider, HTN –
Hypertension, SYS – systolic, DIA- diastolic, WHO – World Health Organization
Figure 3: Feasibility trial intervention components and proposed outcomes
ASHA –Accredited Social Health Activist, HCP -Health Care Provider, PHC -Primary Health
Centre, BMI -Body Mass Index
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Cross sectional surveyPhase 1
Estimated number of Hypertensives
identified
InterventionPhase 2
3600
1080
Larger control40% of PSU with hypertension
Smaller Intervention
20% of PSU with hypertension
Trivandrum
Estimated 30%
prevalence
4500
900
Larger control40% of PSU with hypertension
Smaller Intervention
20% of PSU with hypertension
West Godavari
6500
650
Larger control40% of PSU with hypertension
Smaller Intervention
20% of PSU with hypertension
RishiValley
Estimated 20%
prevalence
Estimated 10%
prevalence
Random selection of PSU
Random assignment of PSU
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Identify all potential participants from survey answers
Aware of hypertension
APPROACH TO RECRUIT INTO INTERVENTION
Taking known antihypertensive medications
APPROACH TO RECRUIT INTO INTERVENTION
Average BP reading during cross sectional survey ≥140 sys or ≥90 dia last two readings which are not more than 10/6 mmHg apart or if 5 readings taken and not consistent (ie > 10/6 mmHg aprt) take average of all five readings and
determine if BP ≥140 sys or ≥90 dia
Visited HCP after cross sectional survey and obtained a confirmed diagnosis of hypertension (according to
participant)
Visited HCP but not on HTN medication
Re‐assess BPusing WHO steps criteria as per cross sectional survey to measure BP,
use last 2 readings to average BP
BP RESULTAverage last two BP readings ≥140 sys
and ≥ 90 dia
APPROACH TO RECRUIT INTO INTERVENTION
BP RESULTAverage last two BP readings
<140 sys and < 90 dia
Request permission to contact HCP for confirmation of diagnosis
Permission not given or diagnosis not confirmed NOT ELIGIBLE
Diagnosis of Hypertension confirmed by HCPAPPROACH TO RECRUIT INTO INTERVENTION
DIAGNOSIS CONFIRMED by observing medication for HTN as a result of HCP visit and diagnosis
APPROACH TO RECRUIT INTO INTERVENTION
Did not visit HCP or get confirmed diagnosis of hypertension
Re assess BPusing WHO steps criteria as per cross sectional survey to
measure BP
BP RESULTAverage last two BP
readings ≥140 sys or ≥90 dia
APPROACH TO RECRUIT INTO INTERVENTION
BP RESULTAverage last two BP readings
<140 sys and < 90 dia
NOT ELIGIBLE
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RESEARCH OFFICER
Support and supervision :1. Source and organise “expert” speakers for each meeting 2. Assist ASHA with data collection3. Collect Health systems data and information
ASHA
Resource Manual ‐ information about hypertension to be used by the ASHA to provide ongoing information to the community
(supplemental to ASHA NCD training module #8)
1. Organise location for biweekly meeting2. Ensure and advocate (register) participants to attend the group meeting3. Collect weekly data from group meeting BP measure, participant progress4. Assist with goal setting
5 days training ‐measurement collection and ‐ group meeting facilitation and organisation
PARTICIPANTS
Group bi‐ weekly meetings facilitated and organised by ASHARegular BP /weight monitoring (at meeting)Goal setting for adopting lifestyle changesSupport from other group members/sharing stories and difficulties
Self management education and information organised by research teamPractical assistance with goal setting related to physical activity, nutrition, medication adherence
Intervention components OUTCOMES
KEY PROGRAM OUTCOMESDemonstrated feasibility
trained ASHAIncorporation into health system/
engagement with local HCPs and PHC
Group meetings‐ regular‐ >70% participation‐ ongoing?‐ Supported by Panchayat
Program costsASHA paymentscommunity payments“expert” payments
KEY INDIVIDUAL OUTCOMESReduction in BP measurement,Reduction in anthropometric
measures (BMI, waist /hip circum)
Improved knowledge of hypertension risk factors.
Improved medication adherenceImproved mental health and
quality of lifeImproved linkages/access/
engagement to clinical care team
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Supplementary material
Cluster randomised feasibility trial to improve the Control of Hypertension In Rural India (CHIRI): a study protocol
Michaela A Riddell1, Rohina Joshi2 , Brian Oldenburg3, Clara Chow2,4, KR Thankappan5, Ajay
Mahal6,7, Nihal Thomas8, Velandai K Srikanth1, Roger G. Evans9, Kartik Kalyanram10, Kamakshi
Kartik10, Pallab K Maulik11,12, Simin Arabshahi1, RP Varma5, Rama K Guggilla11, Oduru Suresh2,10, GK
Mini5, Fabrizio D’Esposito3, Thirunavukkarasu Sathish3, Mohammed Alim11, Amanda G Thrift1*
1 School of Clinical Sciences at Monash Health, Monash University, Melbourne Australia
2 The George Institute for Global Health, University of Sydney, Australia
3 Melbourne School of Population and Global Health, University of Melbourne, Australia
4 Department of Cardiology, Westmead Hospital, Sydney, Australia
5 Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical
Sciences and Technology, Trivandrum, Kerala, India
6 School of Public Health and Preventative Medicine, Monash University, Melbourne Australia
7Nossal Institute for Global Health, Melbourne School of Population and Global Health, University
of Melbourne, Australia
8 Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, Tamil
Nadu, India
9 Cardiovascular Disease Program, Biosciences Discovery Institute and Department of Physiology,
Monash University, Melbourne, Australia
10 Rishi Valley Rural Health Centre, Chittoor, Andhra Pradesh, India
11George Institute for Global Health, Hyderabad Telangana, India
12George Institute for Global Health ‐ Oxford University, Oxford, UK
1
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Trivandrum
Rishi Valley
West Godavari
Supplementary Figure 1. Location of each site.
2
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Kerala State
14 districts
Trivandrum District
Medicines survey
Chirayinkizhu Taluk (Sampling Frame)
Random Sampling (1 of 4 Taluks)
360 individuals from each of 10 wards = 3600
individuals (Sample)
Cross-sectional study
2 Wards (Intervention)
4 Wards (Control)
Hypertensive individuals from cross-sectional study
Random allocation of
wards
Feasibility study
FGDs and IDIs
Selected based on access to coordinating
institute
10 Panchayats
Random Sampling 10 of 22
Panchayats
Random Sampling 1 ward from each of 10 Panchayats
10 wards (one from each Panchayat)
Age/Sex stratified random sampling
Supplementary Figure 2: Sampling frames for individual study sites: A. Chirayinkizhu Taluk, Trivandrum District, Kerala B. West Godavari District, Andhra Pradesh, and C. Rishi Valley Region, Chittoor District, Andhra Pradesh. FGD – Focus Group Discussion, IDI – In Depth Interview
A.
3
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B. Andhra Pradesh State
All 3 Revenue Divisions
11 Mandals
Medicines survey
10 Villages (Sampling Frame)
Random Allocation
450 individuals each from 10 villages = 4,500
individuals (Sample)
Cross-sectional study
4 villages (Control)
Hypertensive individuals from cross-sectional study
Random Allocation
Feasibility study
FGDs & IDIs
3 Villages
West Godavari District
2 villages (Intervention)
76 Villages (Study Population)
Villages located within a 50 km radius of Bhimavaram town
Age- and sex-stratified sampling
4
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C. Andhra Pradesh State
Madanapalle Revenue
Kurabalakota Mandal
Medicines survey
221 Hamlets (Sampling Frame)
Random Sampling of Hamlets
Stratified by Hamlet size (45 small, 44
medium, 44 large), 6 excluded (5 no
inhabitants, 1 RV school habitation)
133 Hamlets, 6246 individuals (Sample)
Cross-sectional study
2 Hamlet cluster (Control)
Hypertensive individuals from cross-sectional study
Random allocation
Feasibility study
FGDs
IDIs
7 Hamlets
Chittoor District
1 Hamlet cluster (Intervention)
7 Villages (Study Population)
5
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Supplementary Table 1: Data collection, study phase and tools
Component Measurement tools/Questions Phase 1
Survey
Phase 2
Survey
Demographic Measures Population measures[1,2]
Age, Sex, Marital status, Age oldest child Literacy (read/write), Highest Education, Average Household Income Source of household income (amount), Household earners Occupation, Ration Card (if yes what type), Household Expenditure Number of people and adults in household Health care insurance (type and who pays) Household structure (walls/floor/roof) Access to drinking water Toilet facility Use of washing after toilet
Clinical InformationFamily History
Close relative: history of heart attack before 60yr, history of stroke before 60yr, history of diabetes (any age), history of high BP (any age)
Co‐morbidities/ Risk Factors [1]
Ever had heart attack, coronary bypass, angioplasty/stent Ever told by HCW: heart problems. Diabetes, chronic Kidney disease, high fats: if yes;
about how long ago (years/months)
Anthropometric [1]
Blood Pressure, Weight, Height, Waist and Hip Circumference
Treatment/ Awareness history [1]
Ever told Hypertension Ever had BP checked: if yes;
was it in last 12 months, who checked Blood Pressure
Ever had prescription for Blood Pressure medication; if yes;
where did you get it,
do you take it as directed
Behavioural Knowledge barriers
Which actions prevent Hypertension
What have you done in last 12mth
Physical Activity[ 1]
Physical activity as per WHO STEPS (including work and leisure related) Hours of Sleep Barriers to physical activity
Diet [1, 3‐5] Person who prepares food Add salt during cooking, if yes how many teaspoons What type of salt and whether iodised Add salt before eating
Daily salt intake
Added sugar to food and drink before consuming
Days/week fruit intake
Typical servings of fruit/ typical day Days/week vegetable intake
Typical servings of vegetables/ typical day No. of meals/week with fried vegetables, meat/poultry, fish, nuts or legumes Number of times/week consuming dairy products, deep fried/fast foods Type of oil used to prepare meals Number of days eating eggs, chicken, fish, other seafood, mutton, beef, pork, rice(idly dosa, puttu etc), pulses (dhal kidney beans etc) other cereals (chapathi, puris, roti, chickpeas etc)
Barriers to eating fruit/vegetables
6
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Smoking [1, 6]
Ever smoked (100 cigarettes or 100 times smokeless) Age initiated Current smoking(smokeless) _ amount/day Frequency of tobacco use (smoking/smokeless) Time since quitting Passive exposure Barriers to quitting tobacco use
Alcohol [1]
Ever consumed alcoholic beverage Use and frequency past 30 days Drinking habit (now and previous 12 months) Use in past 12months Frequency of one standard drink over past 12 months Quantity /day (average) Quit due to health reason Age drinking initiated CAGE substance abuse screening tool [7] Barriers to quitting alcohol [8]
Medication
Do you take medication for BP as directed? Taking any medications? Taking any AYUSH or traditional medications? How often do you forget to take all medications Name/dose of medication (Coded), Medication taken as directed by health care worker, medication confirmed by research team
Hill Bone Compliance to therapy for high blood pressure [40]
Quality of Life General Assessment Chronic Burden [9]
Support[10] Bothered by problems[11]
How helpful to talk with about personal problem
How helpful to talk to about borrowing money
Bothered by problems
Mediators and Moderators Hypertension Knowledge[12] Hypertension beliefs
How does it affect health Likelihood of other disease if hypertension is controlled Which diseases prevented if hypertension is controlled High blood pressure when working/worried Lie down when having high blood pressure Medication too costly Doctor too far to see about high blood pressure
Cost Effective Analysis Health care utilisation
Medical treatment/advice as outpatient last 3 months: if yes;
Number of times in 1 and 3 months
Where and from whom, how did you pay
Medical use over last 12 months similar? If no, is it more or less? Admission as inpatient over last 12 months: if yes;
What type of facility, length of stay, how did you pay?
Last routine check‐up
If longer than 5 years – why? Ease or difficulty to see a doctor Transportation mode to health centre Length of time to get to health centre
Focus Group Discussions Explore current situation/beliefs of population
In depth Interviews Explore current situation/beliefs & attitudes of health personnel
Medicine availability surveyExplore current availability of prescribed medication for hypertension as per WHO essential list
WHO STEPS (World health Organisation STEPwise approach to disease surveillance;
7
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Supplementary Table 2: Data collection and tools for process evaluation
Process Evaluation Pre‐
Intervention During
Intervention Post
Intervention
ASHA pre training knowledgeIntervention process evaluation (training)
ASHA post training knowledge & evaluation Intervention process evaluation (training)
Intervention Fidelity
Meeting attendance
Blood pressure monitoring
Medication adherence
Intervention Fidelity & ProcessGoal setting list
Participant Action plans completed ASHA Meeting report Research member meeting report Participant Intervention Evaluation (including ‐ Attendance, reasons for missed meetings
Support from family/friends/community
Relationship with clinician/HCP
Perceived support from ASHA [41 42])
People with hypertension who did not participate
Factors enhancing ability to attend
Knowledge about hypertension
Perceptions of the community to extended role ofASHAs
ASHA post intervention knowledge Intervention process evaluation (training and retained knowledge)
ASHA, Accredited Social health Activist; HCP, health care provider
8
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REFERENCES 1. World Health Organization. The WHO STEPwise approach to chronic disease risk factor
surveillance. Secondary The WHO STEPwise approach to chronic disease risk factorsurveillance 2004. http://www.who.int/chp/steps/riskfactor/en/index.html.
2. International Institute for Population Sciences (IIPS), Ministry of Health and Family Welfare(MOHFW). India ‐ National Family Health Survey 1998‐1999 (NFHS‐2). 2013. Available athttp://microdata.worldbank.org/index.php/catalog/1405. Accessed April 2016.
3. Kennedy G, Ballard T, Dop MC. Guidelines for measuring household and individual dietarydiversity. Food and Agricultural Organization of the United Nations, Rome, Italy, 2013:60.Available at http://www.fao.org/3/a‐i1983e.pdf. Accessed April 2016.
4. Brantsæter AL, Haugen M, Alexander J, et al. Validity of a new food frequencyquestionnaire for pregnant women in the Norwegian Mother and Child Cohort Study(MoBa). Matern Child Nutr 2008;4(1):28‐43.
5. Morris Hicks J. The 4Leaf Survey. 4Leaf Global, 2015. Available athttps://4leafprogramdotcom.files.wordpress.com/2015/10/4leaf‐pdf‐survey‐103015.pdf.Accessed April 2016.
6. International Tobacco Control Policy Evaluation Project. ITC Survey‐ 4‐Country W9Replensihment Web US online survey code 4C9‐Pw‐US. 2015. Available athttp://www.itcproject.org/files/ITC_4C9_US_Replenishment_SNQ_web_EN.pdf. AccessedApril 2016.
7. Ewing JA. Detecting alcoholism. The CAGE questionnaire. JAMA 1984;252(14):1905‐7.8. Girish N, Kavita R, Gururaj G, et al. Alcohol use and implications for public health: patterns
of use in four communities. Indian J Community Med 2010;35(2):238‐44.9. Gebreab SY, Diez‐Roux AV, Hickson DA, et al. The contribution of stress to the social
patterning of clinical and subclinical CVD risk factors in african americans: The JacksonHeart Study. Soc Sci Med 2012;75(9):1697‐707.
10. Seidman E, Allen L, Aber JL, et al. Development and validation of adolescent‐perceivedmicrosystem scales: social support, daily hassles, and involvement. Am J CommunityPsychol 1995;23(3):355‐88.
11. Spitzer RL, Kroenke K, Williams JB, et al. A brief measure for assessing generalized anxietydisorder: the GAD‐7. Arch Intern Med 2006;166(10):1092‐7.
12. Oliveria SA, Chen RS, McCarthy BD, et al. Hypertension knowledge, awareness, and
attitudes in a hypertensive population. J Gen Intern Med 2005;20(3):219‐25.
9
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SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents*
Section/item ItemNo
Description
Administrative information
Title 1 Descriptive title identifying the study design, population, interventions, and, if applicable, trial acronym
Trial registration 2a Trial identifier and registry name. If not yet registered, name of intended registry
2b All items from the World Health Organization Trial Registration Data Set
Protocol version 3 Date and version identifier
Funding 4 Sources and types of financial, material, and other support
Roles and responsibilities
5a Names, affiliations, and roles of protocol contributors
5b Name and contact information for the trial sponsor
5c Role of study sponsor and funders, if any, in study design; collection, management, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication, including whether they will have ultimate authority over any of these activities
5d Composition, roles, and responsibilities of the coordinating centre, steering committee, endpoint adjudication committee, data management team, and other individuals or groups overseeing the trial, if applicable (see Item 21a for data monitoring committee)
Introduction
Background and rationale
6a Description of research question and justification for undertaking the trial, including summary of relevant studies (published and unpublished) examining benefits and harms for each intervention
6b Explanation for choice of comparators
Objectives 7 Specific objectives or hypotheses
Trial design 8 Description of trial design including type of trial (eg, parallel group, crossover, factorial, single group), allocation ratio, and framework (eg, superiority, equivalence, noninferiority, exploratory)
Page 1
Page 3
Identified on Master protocol Version 9, 2 March 2016
Page 22Page 1 and 22
Not applicable
Page 22
Not applicable
Pages 4-6
Pages 12-13
Page 6
Pages 6-12
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Methods: Participants, interventions, and outcomes
Study setting 9 Description of study settings (eg, community clinic, academic hospital) and list of countries where data will be collected. Reference to where list of study sites can be obtained
Eligibility criteria 10 Inclusion and exclusion criteria for participants. If applicable, eligibility criteria for study centres and individuals who will perform the interventions (eg, surgeons, psychotherapists)
Interventions 11a Interventions for each group with sufficient detail to allow replication, including how and when they will be administered
11b Criteria for discontinuing or modifying allocated interventions for a given trial participant (eg, drug dose change in response to harms, participant request, or improving/worsening disease)
11c Strategies to improve adherence to intervention protocols, and any procedures for monitoring adherence (eg, drug tablet return, laboratory tests)
11d Relevant concomitant care and interventions that are permitted or prohibited during the trial
Outcomes 12 Primary, secondary, and other outcomes, including the specific measurement variable (eg, systolic blood pressure), analysis metric (eg, change from baseline, final value, time to event), method of aggregation (eg, median, proportion), and time point for each outcome. Explanation of the clinical relevance of chosen efficacy and harm outcomes is strongly recommended
Participant timeline
13 Time schedule of enrolment, interventions (including any run-ins and washouts), assessments, and visits for participants. A schematic diagram is highly recommended (see Figure)
Sample size 14 Estimated number of participants needed to achieve study objectives and how it was determined, including clinical and statistical assumptions supporting any sample size calculations
Recruitment 15 Strategies for achieving adequate participant enrolment to reach target sample size
Methods: Assignment of interventions (for controlled trials)
Allocation:
Sequence generation
16a Method of generating the allocation sequence (eg, computer-generated random numbers), and list of any factors for stratification. To reduce predictability of a random sequence, details of any planned restriction (eg, blocking) should be provided in a separate document that is unavailable to those who enrol participants or assign interventions
Page 7
Pages 8, 9, and 13 and Figure 2
Page 13
Not applicable
Pages 14 and 17
Not applicable
Pages 16 and 17
Page 13 and Figure 3
Page 12
Page 12
Pages 7, 9 and Figure 1
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Allocation concealment mechanism
16b Mechanism of implementing the allocation sequence (eg, central telephone; sequentially numbered, opaque, sealed envelopes), describing any steps to conceal the sequence until interventions are assigned
Implementation 16c Who will generate the allocation sequence, who will enrol participants, and who will assign participants to interventions
Blinding (masking)
17a Who will be blinded after assignment to interventions (eg, trial participants, care providers, outcome assessors, data analysts), and how
17b If blinded, circumstances under which unblinding is permissible, and procedure for revealing a participant’s allocated intervention during the trial
Methods: Data collection, management, and analysis
Data collection methods
18a Plans for assessment and collection of outcome, baseline, and other trial data, including any related processes to promote data quality (eg, duplicate measurements, training of assessors) and a description of study instruments (eg, questionnaires, laboratory tests) along with their reliability and validity, if known. Reference to where data collection forms can be found, if not in the protocol
18b Plans to promote participant retention and complete follow-up, including list of any outcome data to be collected for participants who discontinue or deviate from intervention protocols
Data management
19 Plans for data entry, coding, security, and storage, including any related processes to promote data quality (eg, double data entry; range checks for data values). Reference to where details of data management procedures can be found, if not in the protocol
Statistical methods
20a Statistical methods for analysing primary and secondary outcomes. Reference to where other details of the statistical analysis plan can be found, if not in the protocol
20b Methods for any additional analyses (eg, subgroup and adjusted analyses)
20c Definition of analysis population relating to protocol non-adherence (eg, as randomised analysis), and any statistical methods to handle missing data (eg, multiple imputation)
Methods: Monitoring
Data monitoring 21a Composition of data monitoring committee (DMC); summary of its role and reporting structure; statement of whether it is independent from the sponsor and competing interests; and reference to where further details about its charter can be found, if not in the protocol. Alternatively, an explanation of why a DMC is not needed
Pages 7, 9 and Figure 1
Page 12.
Page 12/13
Not applicable
Page 14
Page 18 and Supplementary Table 1
Page 18
Page 14
Pages 18 and 19
Page 19
Page 19
Page 16
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21b Description of any interim analyses and stopping guidelines, including who will have access to these interim results and make the final decision to terminate the trial
Harms 22 Plans for collecting, assessing, reporting, and managing solicited and spontaneously reported adverse events and other unintended effects of trial interventions or trial conduct
Auditing 23 Frequency and procedures for auditing trial conduct, if any, and whether the process will be independent from investigators and the sponsor
Ethics and dissemination
Research ethics approval
24 Plans for seeking research ethics committee/institutional review board (REC/IRB) approval
Protocol amendments
25 Plans for communicating important protocol modifications (eg, changes to eligibility criteria, outcomes, analyses) to relevant parties (eg, investigators, REC/IRBs, trial participants, trial registries, journals, regulators)
Consent or assent 26a Who will obtain informed consent or assent from potential trial participants or authorised surrogates, and how (see Item 32)
26b Additional consent provisions for collection and use of participant data and biological specimens in ancillary studies, if applicable
Confidentiality 27 How personal information about potential and enrolled participants will be collected, shared, and maintained in order to protect confidentiality before, during, and after the trial
Declaration of interests
28 Financial and other competing interests for principal investigators for the overall trial and each study site
Access to data 29 Statement of who will have access to the final trial dataset, and disclosure of contractual agreements that limit such access for investigators
Ancillary and post-trial care
30 Provisions, if any, for ancillary and post-trial care, and for compensation to those who suffer harm from trial participation
Dissemination policy
31a Plans for investigators and sponsor to communicate trial results to participants, healthcare professionals, the public, and other relevant groups (eg, via publication, reporting in results databases, or other data sharing arrangements), including any publication restrictions
31b Authorship eligibility guidelines and any intended use of professional writers
31c Plans, if any, for granting public access to the full protocol, participant-level dataset, and statistical code
Not applicable
Not applicable
Not applicable
Page 19
Not applicable
Page 19
Not applicable
Page 19 and 20
Pages 22 and 23
Page 18
Not applicable
Pages 19 and 20
Page 20
Not applicable
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Appendices
Informed consent materials
32 Model consent form and other related documentation given to participants and authorised surrogates
Biological specimens
33 Plans for collection, laboratory evaluation, and storage of biological specimens for genetic or molecular analysis in the current trial and for future use in ancillary studies, if applicable
*It is strongly recommended that this checklist be read in conjunction with the SPIRIT 2013Explanation & Elaboration for important clarification on the items. Amendments to the protocol should be tracked and dated. The SPIRIT checklist is copyrighted by the SPIRIT Group under the Creative Commons “Attribution-NonCommercial-NoDerivs 3.0 Unported” license.
In protocol document
Not applicable
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Cluster randomised feasibility trial to improve the Control of
Hypertension In Rural India (CHIRI): a study protocol
Journal: BMJ Open
Manuscript ID bmjopen-2016-012404.R1
Article Type: Protocol
Date Submitted by the Author: 02-Aug-2016
Complete List of Authors: Riddell, Michaela; Monash University, Department of Medicine, School of Clinical Sciences Joshi, Rohina; University of Sydney, The George Institute for Global Health Oldenburg, Brian; University of Melbourne School of Population and Global Health Chow, Clara; University of Sydney, The George Institute for Global Health; Children\'s Hospital at Westmead, Department of Cardiology Thankappan, K; Sree Chitra Tirunal Institute for Medical Science and
Technology, Achutha Menon Centre for Health Science Studies Mahal, Ajay; Monash University, School of Public Health and Preventative Medicine; University of Melbourne School of Population and Global Health, Nossal Institute for Global Health THOMAS, NIHAL; CHRISTIAN MEDICAL COLLEGE, Department of Endocrinology, Diabetes & Metabolism Srikanth, Velandai; Monash University, School of Clinical Sciences at Monash Health Evans, Roger; Monash University, Cardiovascular Disease Program, Biosciences Discovery Institute and Department of Physiology Kalyanram, Kartik; Rishi Valley Rural Health Centre
Kartik, Kamakshi; Rishi Valley Rural Health Centre Maulik, Pallab; The George Institute for Global Health; University of Oxford, George Institute for Global Health Arabshahi, Simin; Monash University, Department of Medicine, School of Clinical Sciences at Monash Health Varma, R; Sree Chitra Tirunal Institute for Medical Science and Technology, Achutha Menon Centre for Health Science Studies Gugilla, Rama; The George Institute for Global Health Suresh, Oduru; Monash University, Department of Medicine, School of Clinical Sciences; Rishi Valley Rural Health Centre Mini, GK; Sree Chitra Tirunal Institute for Medical Science and Technology, Achutha Menon Centre for Health Science Studies
D'Esposito, Fabrizio; University of Melbourne School of Population and Global Health, Centre for Health Equity Sathish, Thirunavukkarasu; University of Melbourne School of Population and Global Health, Centre for Health Equity Mohammed, Alim; The George institute for Global Health, India Thrift, Amanda; Monash University, School of Clinical Sciences at Monash Health
<b>Primary Subject Heading</b>:
Global health
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Secondary Subject Heading: Cardiovascular medicine
Keywords: Hypertension < CARDIOLOGY, prevalence, clinical trial, EDUCATION & TRAINING (see Medical Education & Training), India, self-management
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Cluster randomised feasibility trial to improve the Control of Hypertension In Rural India
(CHIRI): a study protocol
Michaela A Riddell1, Rohina Joshi
2 , Brian Oldenburg
3, Clara Chow
2,4, KR Thankappan
5, Ajay
Mahal6,7
, Nihal Thomas8, Velandai K Srikanth
1, Roger G. Evans
9, Kartik Kalyanram
10,
Kamakshi Kartik10
, Pallab K Maulik11,12
, Simin Arabshahi1, RP Varma
5, Rama K Guggilla
11,
Oduru Suresh2,10
, GK Mini5, Fabrizio D’Esposito
3, Thirunavukkarasu Sathish
3, Mohammed
Alim11
, Amanda G Thrift1*
1 School of Clinical Sciences at Monash Health, Monash University, Melbourne Australia
2 The George Institute for Global Health, University of Sydney, Australia
3Melbourne School of Population and Global Health, University of Melbourne, Australia
4 Department of Cardiology, Westmead Hospital, Sydney, Australia
5 Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical
Sciences and Technology, Trivandrum, Kerala, India
6 School of Public Health and Preventative Medicine, Monash University, Melbourne
Australia
7Nossal Institute for Global Health, Melbourne School of Population and Global Health,
University of Melbourne, Australia
8 Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore,
Tamil Nadu, India
9 Cardiovascular Disease Program, Biosciences Discovery Institute and Department of
Physiology, Monash University, Melbourne, Australia
10 Rishi Valley Rural Health Centre, Chittoor District, Andhra Pradesh, India
11George Institute for Global Health, Hyderabad, Telangana, India
12George Institute for Global Health - Oxford University, Oxford, UK
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*Corresponding author:
Professor Amanda Thrift, Principal Investigator, School of Clinical Sciences at Monash Health,
Epidemiology and Prevention Unit, Level 5, Block E Monash Medical Centre, Monash
University, Melbourne AUSTRALIA
Email: [email protected]
Tel: +613-8572-2656
Keywords : Hypertension, prevalence, clinical trial, education, India, self-management
Word Count : 7,093
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ABSTRACT:
Introduction:
Hypertension is emerging in rural populations of India. Barriers to diagnosis and treatment
of hypertension may differ regionally according to economic development. Our main
objectives are to estimate the prevalence, awareness, treatment and control of
hypertension in three diverse regions of rural India; identify barriers to diagnosis and
treatment in each setting and evaluate the feasibility of a community based intervention to
improve control of hypertension.
Methods and analysis:
This study includes four main activities: (1) assessment of risk factors, quality of life,
socioeconomic position, and barriers to changes in lifestyle behaviours in approximately
14,500 participants; (2) focus group discussions with individuals with hypertension and in-
depth interviews with health care providers, to identify barriers to control of hypertension;
(3) use of a medicines-availability survey to determine the availability, affordability and
accessibility of medicines; and (4) trial of an intervention provided by Accredited Social
Health Activists, comprising group based education and support for individuals with
hypertension to self-manage blood pressure. Wards/villages/hamlets of a larger Mandal are
identified as the primary sampling unit (PSU). PSUs are then randomly selected for inclusion
in the cross-sectional survey, with further randomisation to intervention or control. Changes
in knowledge of hypertension and risk factors, and clinical and anthropometric measures,
are assessed. Evaluation of the intervention by participants provides insight into perceptions
of education and support of self-management delivered by the ASHAs.
Ethics and Dissemination:
Approval for the overall study was obtained from the Health Ministry’s Screening
Committee, Ministry of Health and Family Welfare (India), institutional review boards at
each site, and Monash University. In addition to publication in peer-reviewed articles,
results will be shared with federal, state and local government health officers, local health
care providers and communities.
Trial Registration:
The feasibility trial is registered with the Clinical Trials Registry - India (CTRI)
CTRI/2016/02/006678 (25/02/2016).
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Strengths and limitations of this study
• The study is being conducted in three economically and developmentally diverse
rural populations in Southern India, potentially enabling generalisability to many
other regions within India.
• Data collection is standardised and consistent across the three settings.
• Validated tools allow for comparison with other studies conducted in India and
similar settings in low to middle income countries.
• Inclusion of a cross-sectional survey, a survey of availability of medicines, and
qualitative interviews with doctors and patients will allow triangulation of potential
barriers to diagnosis, treatment and control of hypertension.
• The training programme delivered to non-physician health workers has not been
formally tested, thereby potentially limiting the efficacy of the intervention
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INTRODUCTION
Hypertension is the leading contributor to the global burden of disease and mortality.[1] In
2000, approximately 120 million Indians had high blood pressure and this figure is expected
to increase to about 215 million by 2025.[2] According to a recent systematic review of
hypertension in India overall prevalence of hypertension was estimated to be nearly 30%,
with a significant difference in the overall pooled prevalence between urban (33.8% (95%
Confidence Interval (CI): 29.7, 37.8), and rural (27.6% (95%CI: 23.2, 32.0) populations
nationally. This disparity was particularly marked in West India (pooled prevalence urban
(35.8% (95% CI 35.2, 36.5), and rural (18.1% (95%CI: 16.9, 19.2)).[3] With the rapid
urbanisation of India, lifestyle changes, known to be associated with increased risk of
hypertension, become more common. These lifestyle changes may be driving the
convergence of the prevalence of hypertension between urban and rural India.[4] Such
convergence is observed in the pooled estimates, using random effect analysis, for South
India where there were no detectable differences in the prevalence of hypertension
between rural and urban populations (urban: 31.5% (95%CI, 23.6, 39.5) vs rural: 28.3%
(95%CI, 21.4, 35.1), p = 0.62).[3]
Recent observations indicate that only approximately one quarter of the people with a
diagnosis of hypertension in rural Kerala receive treatment and, of this population, only
approximately 30% has their blood pressure (BP) within the therapeutic target [5, 6]
(systolic BP (SBP) <140 mmHg and diastolic BP (DBP) <90 mmHg).[7]
There are many different barriers to the diagnosis and treatment of hypertension in both
urban and rural regions. These barriers likely comprise proximate determinants [8] and
operate at both the individual and systems level.[9] For example, awareness (diagnosis) of
hypertension at the individual level may be influenced by distance to, and utilisation of,
health services, physical inactivity and social factors.[10] System level factors, which may
influence awareness of hypertension, include the knowledge of risk factors by health care
workers, availability of equipment for measuring blood pressure, and quality, availability
and expertise of health care providers. Treatment of hypertension is influenced by age,
distance to health care [11] and socioeconomic position (SEP).[12, 13] At the system level,
treatment may be influenced by knowledge and implementation of current treatment
initiation guidelines and availability of medicines.[14] Control of hypertension is likely
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influenced individually by adherence to medication, SEP, health literacy and understanding
of chronic disease and risk factors for chronic disease such as physical activity and tobacco
use.[11-13, 15] Within health systems, control of hypertension may be influenced by
understanding of treatment guidelines, availability of medication, and capacity to monitor
and follow up patients.[14]
There is also some emerging evidence that system and individual level barriers may vary
according to the stage of epidemiological, demographic and economic transition of different
populations.[8, 16] For example, as the disease patterns in the population change rapidly,
training of the health workforce may not be adequately up-to-date and basic diagnostic
tools (such as BP machines) may also be lacking. In regions where the demographic and
economic transition is more advanced, there is a greater prevalence of hypertension and
thus a greater awareness of hypertension-related factors such as obesity and physical
inactivity.[17] In disadvantaged and poverty-stricken communities, where the population
has not yet been exposed to economic development, the epidemiological transition is still at
an earlier stage.
Disadvantaged communities still comprise the largest proportion of the population in
resource poor countries, but little is known about the awareness of hypertension or of the
individual and system level barriers to its diagnosis and treatment in these settings. An
improved understanding of the awareness of hypertension in such disparate settings and
the barriers to prevention, diagnosis and treatment will provide the critical knowledge base
needed to overcome these barriers. The aims of this research are, within three diverse rural
regions, to (i) estimate the prevalence, awareness, treatment and control of hypertension;
(ii) use these baseline data to develop strategies to better manage hypertension in rural
communities in India; and (iii) evaluate the feasibility of a community-based intervention to
improve self-management and control of hypertension.
The research protocol described herein comprises two phases in each of the three settings,
with phase 1 having three parts:
Phase 1: Baseline assessment
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a. A baseline cross-sectional study to obtain information about the prevalence,
awareness, treatment and control of hypertension.
b. Qualitative studies, comprising focus group discussions among individuals with
hypertension and in-depth interviews with health care providers, to identify individual
and system level barriers to control of hypertension.
c. A medicines-availability survey to determine the availability, affordability and
accessibility of medicines used for treatment of hypertension, type 2 diabetes mellitus
and secondary prevention of cardiovascular diseases.
Phase 2: A feasibility study of an intervention to improve control of hypertension, developed
based on the findings of the cross-sectional survey and qualitative studies. The intervention
has two basic components: a) peer group based education and support for individuals with
hypertension for self-management of blood pressure; and b) health services and workforce
strengthening.
Setting
The study is being conducted in three diverse rural regions in Southern India, each of which
is at a different stage of economic and demographic transition: Trivandrum in Kerala, the
West Godavari District in Northern Andhra Pradesh (AP) and the Rishi Valley region in
Southern AP (see Supplementary Figure 1).
Trivandrum, Kerala (late transition): Kerala is the most advanced state in demographic and
epidemiological transition in India.[18] Life expectancy is 76.4 years[19] and literacy is
93.9%.[20] Approximately half of the population in the state resides in non-urban areas.[21]
Changes in cultivation patterns from food crops to more profitable cash crops and large
scale international migration has rendered Kerala both a wealthier and a less agrarian state
than the rest of India.[19, 22]
West Godavari, AP (medium transition): The Western Godavari study region comprises 897
villages. Life expectancy in Andhra Pradesh in 2001-6 was 62.8 years for men and 65 years
for females.[23] In 2011 approximately 75% of the population in West Godavari was literate,
and the majority of the residents (79.5%) lived in rural areas.[24]
Rishi Valley, AP (early transition): This rural site is located in the Kurabalakota Mandal, which
contains six villages, in the Chittoor District near the South Western border of AP.
Approximately 38,000 residents in Kurabalakota Mandal reside in 221 hamlets
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(habitations/sub-villages). Hamlets are the smallest administrative geographic units in this
region. The population of this Mandal are largely subsistence farmers and are economically
disadvantaged with an average monthly household income well below the global standard
for poverty. Approximately half the population in this region is estimated to have no formal
schooling.[25]
HYPOTHESES
We hypothesise that:
1. Knowledge/awareness of the presence of hypertension and about risk factors associated
with hypertension is greater in the late transition region than in the early transition
region.
2. Prior BP measurement is less common in the early transition region (Rishi Valley) than in
the late (Trivandrum) and medium transition region (West Godavari).
3. In those previously identified as having hypertension, costs of treatment are the greatest
barrier to ongoing management of hypertension in all settings.
4. Poor management of hypertension is more common in women, people living below the
poverty line, and in those who did not finish high school.
5. High salt intake is a major risk factor for hypertension in both men and women in the
late transition region, but its effect is limited to men in the early transition setting.
6. A community based peer group education and self-management programme conducted
by ASHAs is feasible.
METHODS AND ANALYSIS
Study design/sampling frame
Wards/villages/hamlets of a larger mandal (also known as taluk), were identified as the
primary sampling unit (PSU). At each study site these PSUs were then randomly selected for
inclusion in the cross-sectional survey (Phase 1 of the study, Figure 1) using computer-
generated random numbers. For Trivandrum the PSU is wards, for West Godavari the PSU is
villages and for the Rishi Valley site the PSU is hamlets (habitations) (see Supplementary
Figure 2A, 2B and 2C for site specific sampling frames).
1a: Baseline cross-sectional survey
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A cross-sectional survey was initially conducted to quantify the burden and awareness of
hypertension and examine how the barriers to diagnosis and management differ between
settings. Recruitment for this study commenced in January 2014 and was completed in
December 2015. Approximately 14,500 adults living in the study areas have been selected to
provide data for the baseline survey. The role of gender, socioeconomic deprivation, and
education on the diagnosis and management of hypertension in each of the three rural
areas is being explored. The data have been used to design the intervention component of
the study.
Recruitment to cross-sectional survey
Population censuses (specifically completed for this study or existing polling booth registers)
at each site were used to randomly select potential participants. In Trivandrum and West
Godavari sampling was stratified by age and sex using this approach. However, due to
structural factors related to distance between hamlets and demography, this was not
feasible in the Rishi Valley region. Residents of the PSU aged at least 18 years were eligible
for recruitment to the cross-sectional survey.
Trivandrum: Among the 14 districts in Kerala, Trivandrum district was selected based on its
proximity to the collaborating institute (Sree Chitra Tirunal Institute for Medical Sciences
and Technology). Chirayinkizhu taluk was selected randomly from the four taluks in
Trivandrum district. Of the 22 Panchayats (local administrative body in rural areas) within
Chirayinkizhu taluk, ten were randomly selected. From each of the selected Panchayats one
ward (the smallest geographic unit of a Panchayat) was randomly selected. In each ward,
using the polling booth list, the total number of individuals was divided into 12 age and sex
groups (18-24, 25-34, 35-44, 45-54, 55-64 and 65+). From each group 30 individuals were
randomly selected to get a total sample of 360 in each ward. Thus 3600 participants were
selected in the Trivandrum district to participate in the cross-sectional survey. Additional
sampling was conducted (10 from each age and sex band) to replace those participants who
had migrated, died or refused to participate.
West Godavari: A sampling frame was developed by mapping all 17 Primary Health Centres
(PHCs) within a 50 km radius around the town of Bhimavaram. We excluded those PHCs
participating in other studies conducted by the George Institute and randomly selected 10
of the remaining PHCs. All the villages serviced by each PHC were included in the list.
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Villages with fewer than 3000 residents were excluded. One village was then randomly
selected from each PHC, resulting in inclusion of 10 villages. Mapping all the selected
villages enabled generation of an age and sex population list with house addresses.
Population lists from the mapping were used to randomly select 4500 individuals over the
age of 18 years from each participating village. Additional sampling was conducted to
replace those participants who had migrated, died or refused to participate. Sampling was
stratified by 12 groups defined by age (18-24, 25-34, 35-44, 45-54, 55-64, 65+) and sex with
the goal of including comparable numbers of individuals from each group.
Rishi Valley region: The study population comprised the six villages of the Kurabalakota
Mandal in the Chittoor District, Southern AP. These villages comprised 221 hamlets or small
habitations. Hamlets were stratified by population size (small, medium and large) and then
139 were randomly selected in accordance with the sampling strategy using computer-
generated random numbers (generated at Monash University). This was to ensure sampling
of approximately equal numbers of hamlets from each size stratification. Six hamlets were
excluded due to migration of population. We also excluded the hamlet in which the Rishi
Valley Rural Education Centre was located because the population was largely transient,
comprising teachers and students who reside in the hamlet only during school time. A study
centre was set up in a communal area of the hamlet convenient for all the residents. All
residents aged at least 18 years were invited to participate in the cross-sectional survey.
Research officers ensured that all residents were informed of the presence of the study
team in the habitation by house-to-house notification and encouragement to attend.
Data collection/measurement
The instruments and measurements chosen for this project are based on recommendations
from the World Health Organization (WHO) STEPwise approach to disease surveillance
(WHO STEPS) [26] and other validated tools for quality of life, socioeconomic position (SEP),
and barriers to changes in alcohol and tobacco behaviour as listed in Supplementary Table 1.
The list of measures comprise (1) basic demographic information including age, income,
gender, marital status, religion, number of children, and type of work undertaken; (2)
lifestyle-related factors such as physical activity, tobacco use, and alcohol consumption,
dietary factors, including cooking practices and use of salt, stress, and overcrowding; (3)
knowledge about hypertension and its risk factors, awareness of hypertensive status, and
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reports of the timing and outcome of prior blood pressure measurements; and (4) further
details about use of medications (both allopathic and AYUSH or other traditional therapies),
barriers to treatment including access, cost, adoption of lifestyle factors and compliance
with medication use (see Supplementary Table 1 for full list of variables). Questionnaires
were developed in English and then translated into the site-specific language (Telugu (AP),
Malayalam (Kerala)) and back translated to detect and correct errors.
Standardised clinical measurements are collected as follows; arterial BP and heart rate are
measured after the participant has sat quietly for at least 15 minutes. BP is measured at
least three times at three minute intervals using the appropriate cuff size and a Digital
Automatic Blood Pressure Monitor (DABPM- OMRON HEM-907, OMRON Healthcare
Company, Kyoto, Japan) according to the WHO STEPs protocol, modified only by using the
right arm for all measurements.[26] Measurement continues until two consecutive readings
differ by <10 mmHg systolic and <6 mmHg diastolic, with a maximum of five measurements.
The mean of the last two consecutive measurements are used to define hypertensive status.
Height is measured to the nearest 0.1 cm using a portable stadiometer (213, Seca, Hamburg,
Germany). Weight is measured to the nearest 0.1 kg using a portable digital weighing scale
(9000SV3R, Salter, Kent, UK). Waist and hip circumference is measured using a spring-
loaded tension tape (Gulick M-22C, Patterson Medical, Illinois, United States) in a private
setting. In accordance with the WHO STEPS protocol [26] waist circumference is measured
at the midpoint between the lowest rib and upper point of the iliac crest and at the end of
normal expiration and hip circumference is measured at the maximum protrusion of the
buttocks.
To ensure standardisation, data collectors are trained in collection of anthropometric and
blood pressure measurements in accordance with the WHO STEPS protocol.[26]. This
training, conducted by the project manager for at least 5 days, is to ensure consistency of
data collection between sites. Training is provided in a similar manner to ensure that
questionnaire administration is also consistent across all sites. A study-specific training
manual containing step-by-step procedures for all data collection (anthropometric and
survey administration) is provided to each data collector. Data collection at each site is
further monitored by site supervisors. Follow-up training by the project manager and/or site
supervisor is also undertaken at each site approximately one month after commencement
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of data collection to ensure that data collection methods are implemented according to the
protocol.
Definitions: Participants whose measured mean systolic BP (SBP) is ≥140 mmHg and/or
mean diastolic BP (DBP) is ≥ 90 mmHg or who are taking medication for lowering blood
pressure are defined as hypertensive.[7] Waist circumference is deemed high when >80 cm
in women and >90 cm in men. A body mass index (BMI) ≥25 to 29.99 kg/m2 is defined as
overweight and BMI ≥30 kg/m2 as obese according to the revised BMI classification.[27]
Outcomes
Socio-demographic and economic characteristics of each population are determined,
including gender, SEP, education, income and expenditure. Information on utilisation of
health care, physical activity, tobacco use and consumption of alcohol are also collected.
Primary outcomes for Phase 1a of the study are prevalence, awareness, treatment, control,
knowledge of hypertension and associated risk factors. We compare knowledge of
hypertension, previous measurement of BP and barriers to treatment and management
(such as cost, education and SEP) of hypertension across study sites. Good (BP<140/90
mmHg) or poor (SBP≥140 mmHg or DBP≥90 mmHg) control of hypertension is assessed in
relation to lifestyle factors (physical activity, use of tobacco and consumption of alcohol),
dietary factors (including salt intake) and health care utilisation. Attitudes to healthy
behaviour change are also assessed.
Qualitative studies to identify barriers (Phase 1b)
To further investigate barriers to diagnosis, treatment and control of hypertension, focus
group discussions with people having hypertension are used to explore peoples’ experiences
with health care systems and their perceptions and beliefs about hypertension in
accordance with predetermined and shared exploratory questions (see Supplementary
Table 2 for the interview guide). Up to four focus groups involving up to 10 people with
hypertension in each focus group, identified in the cross-sectional survey as being aware of
their hypertension status, are conducted at each site (refer Supplementary Figure 2A, 2B,
and 2C). Focus groups are voice recorded and a second research officer takes notes
throughout the session. The recordings are translated and transcribed into English and
checked for accuracy with the research notes. Data analysis is carried out using the process
described by Green and colleagues.[28] We use a socio-ecological approach to the
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identification of themes, which considers the complex interplay between individual, social,
and systemic factors.[29-31]
In-depth interviews are carried out with health care providers (doctors, staff nurses,
ANMs/ASHAs) at each site to explore management of hypertension, and perceptions of the
health care system in relation to screening and management of hypertension and other
chronic conditions (see Supplementary Tables 3 and 4 for the interview guides).
Medicine pricing and availability: (Phase 1c)
To investigate the availability and price of medicines for hypertension and other related
non-communicable diseases (e.g. cardiovascular diseases [CVD], type 2 diabetes) a cross-
sectional survey of price and availability of essential medicines is undertaken. Included in
this survey are public (hospitals, clinics and health facilities), private (licensed retail
pharmacies and licensed drug stores) and ‘other’ sector medicine outlets (facilities selling
medicines at subsidised prices to all patients) located in the sampling frames of the CHIRI
study sites in AP and Kerala (refer Supplementary Figure 2A, 2B, and 2C). The medicines
selected for review are those used for treatment of hypertension, secondary prevention of
CVD, and treatment of type 2 diabetes mellitus and that are listed in the WHO Model List of
Essential Medicines,[32] National List of Essential Medicines of India,[33] Essential
Medicines List of the Government of (unified) Andhra Pradesh and the Rational Drug List
2012-13 of Kerala Medical Services Corporation Ltd.[34] The study methods have been
developed based on the WHO/HAI (Health Action International) methodology for measuring
medicine prices, availability, affordability and price components.[35] The survey is being
conducted across 20 public, 16 private and two ‘other’ sector pharmacies in the three
regions.
Phase 2: Feasibility of a community based programme for management of hypertension
facilitated by Accredited Social Health Activists (ASHA)
Phase 2 of the study is a feasibility trial which incorporates random allocation of
approximately 20% of the PSUs to the intervention and 40% of the PSUs to the control
condition (Figure 1). Specifically for the Trivandrum region two of 10 wards are allocated to
the intervention and four of 10 wards are allocated to the control condition. For the West
Godavari region two of 10 villages are allocated to the intervention and four of 10 villages
are allocated to the control condition. For the Rishi Valley region hamlets in one of six
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villages are allocated to the intervention and hamlets in two of six villages to the control
condition.
Allocation of only a subset of the initial PSUs was necessary due to budgetary and
programme timeline constraints. Random allocation of the PSUs to intervention or non-
intervention conditions is undertaken by the principal investigator (Figure 1). As this is a
feasibility study, the sample size for those receiving the intervention is not powered to
determine effectiveness. However, changes in individual measurements over time are
assessed. The intervention addresses those factors identified during the qualitative and
cross-sectional studies which contribute to control of hypertension in these settings and
includes both management and control strategies aimed at the individual, health service
delivery and policy levels.
Blinding
As this is a behavioural intervention programme, the people delivering the intervention
cannot be blinded to the intervention group. However, participants in the control regions
remain unaware of the intervention programme, and outcome assessors are blinded to the
intervention allocation of participants.
Recruitment and eligibility
Community members from the randomly selected PSUs, who are identified as hypertensive
in the cross-sectional study, are invited to participate in the intervention and control arms in
accordance with eligibility criteria given below (also see Figure 2). Recruitment commenced
in January 2016, and the intervention is expected to be completed in June 2016. Participants
are approached at their homes after identification, and recruited and consented during this
visit. For the intervention sites, the list of consented participants is provided to the
Accredited Social Health Activists (ASHAs) from those villages.
Eligible participants are those who:
1. Indicate they are aware of being hypertensive in the cross-sectional survey.
2. Are identified as having an average SBP of ≥140 mmHg and/or DBP ≥90 mmHg at the
cross-sectional survey, subsequently attend their primary health care provider and are
then formally clinically diagnosed with hypertension. Verification occurs by sourcing the
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medical record, contacting the health care provider or by confirmation of use of
medication(s) for hypertension (as observed);
3. Have an average BP of ≥140 mmHg SBP and/or ≥90 mmHg DBP during the cross-
sectional survey and then, at the time of recruitment to the intervention (or control),
have their blood pressure remeasured, and are found to still have an average BP of ≥140
mmHg SBP and/or ≥90 mmHg DBP.
4. Are taking medication(s) for hypertension (including diuretics, ACE inhibitors,
angiotensin II antagonists, β-blockers, Ca++
channel blockers or renin inhibitors.)
Intervention components
The intervention arm incorporates a community based self-management and education
support group, led by ASHAs, every 2 weeks for 3 months (i.e. six meetings). ASHAs are
female lay health workers, residing in each village, most of whom have completed
secondary schooling. Their work accountability primarily lies within the purview of the
Village Health Sanitation and Nutrition Committee (VHSNC) which is a committee formed at
the revenue village level and acts as a sub-committee of Gram Panchayat. They are
compensated for their time in specific situations (attending training and meetings) and
given incentives under various national health programmes, predominantly for maternal
and child health.
Content for the intervention components was driven by preliminary analysis of the cross-
sectional data which reflected poor knowledge of hypertension. Furthermore, principles of
the Chronic Disease Self-Management Program (CDSMP) as described by Lorig,[36] and
found to significantly contribute to improved self-management, were incorporated into the
programme content.[37] Content includes strategies to increase knowledge and
understanding of the disease, promote healthy behaviour change and clinical interaction
through goal setting. At each group meeting participants are weighed, have their blood
pressure measured and receive self-management and lifestyle education (Figure 3) from
locally sourced “expert” advisers. These advisers may include, but are not limited to,
clinicians from the primary health centre servicing the region, pharmacists, and nutritional
advisors.
ASHA Training
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For the intervention, ASHAs in each location are trained to deliver the self-management
sessions of the intervention and to collect data regarding the implementation of the
intervention. Training of ASHAs is standardised and undertaken by the site supervisors at
each site in accordance with the study specific ASHA training manual to ensure consistency
of training between sites. Training of ASHAs was first piloted at the Rishi Valley site using
four volunteer ASHAs not involved in the implementation of the intervention. Pilot training
was conducted by the Project Manager and included each site supervisor utilising “train the
trainer” principles.[38] Materials and resources for training ASHAs, as well as standardised
resources and education material for delivering the intervention were initially developed in
English. ASHAs involved in the pilot training provided important feedback that enabled us to
refine the educational resources for ASHAs and participants. Once these resources were
finalised, they were translated/back translated into site specific language (Telugu and
Malayalam).
At the beginning of the first training session the knowledge of ASHAs regarding
hypertension and other non-communicable diseases (NCDs) and their skills in measuring BP
and recording weight are assessed. The 5-day training regimen includes education about
NCDs that is based on, and complimentary to, the existing ASHA training Module for NCDs
(Module # 8),[39] measurement and recording of BP and weight, and maintaining records of
each meeting (attendance, measurements, meeting content, record problems or issues
faced by participants). Additionally, ASHAs are trained to deliver the educational material
regarding hypertension and self-management using pictorial flip-chart resources developed
for the intervention. ASHAs are also trained to initiate and support self-management of
hypertension by the participants through goal-setting. Incentives for ASHA are based on
remuneration under the schedule for Village Health Sanitation and Nutrition Committee
Activities [40] as well as Village Health and Nutrition Days.[41] In the two regions in Andhra
Pradesh the ASHAs are incentivised to promote attendance by as many participant and
support members as possible, via payment of 200 Indian rupees per meeting if more than
75% of enrolled participants attend. Thus, those that do not attend one meeting will be
followed up by an ASHA and encouraged to attend the next meeting. In the Kerala site the
ASHAs are paid according to remuneration under the schedule for Village Health Sanitation
and Nutrition Committee Activities [40] as well as Village Health and Nutrition Days,[41] and
were not paid extra when more than 75% of participants attended.
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Self-management education and group-based support
Each community group comprises up to 20 individuals with hypertension. The community-
based support group is supported and promoted by the Panchayat at each site. The
Sarpanch (the elected head of village) provides a letter of support and encouragement for
the intervention activities. This letter is enclosed with the letter of invitation to participate
in the intervention. The facilitator of the group, either the appointed village ASHA
(Trivandrum, West Godavari and Rishi Valley regions) or a person with equivalent
qualifications employed for the project (West Godavari region), is assisted by a member of
the research team at each meeting. The facilitator of the group organises and schedules
meetings, collects data during the meeting, and submits these data to the research team.
Each of the six meetings lasts approximately 90 minutes, and consists of various topics
related to hypertension (see Table 1). Next of kin or additional support persons are
encouraged to accompany and support the person with hypertension at each group meeting.
Table 1: Meeting schedule and details of meeting content
Meeting
Number
Topic Detailed information provided
1 Introduction Education session: what is hypertension?, risk factors,
chronic nature of disease, “know your numbers”, etc to be
carried out by a local health care provider
2 Self-management
education
Risk factors and modifiable activities to improve
control/management. Importance of medication adherence
3 Physical activity Incorporating physical activity into your day, including
group physical activity
4 Nutrition and Diet Importance of salt reduction (including recipes), alcohol
reduction, dietary assistance, increased fruit and vegetable
consumption (it is especially important for women to be
given strategies to save some vegetables and meat for
themselves)
5 Practical Self-
management
Practical ways to improve your control/management
(medication diary/ reminder system, etc). A pharmacist may
attend and provide information about drug availability
6 Next steps/
continuation
Review, changes made, ongoing difficulties, ongoing group
activities
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plans
Because of the nature of the intervention, a community-based peer support group with self-
management education, no data safety monitoring committee is required.
The community-based groups are used to educate group members about hypertension as
well as implement and enhance strategies for self-management of hypertension and related
NCDs (Table 1 and Figure 3). Resources developed specifically for the intervention are
primarily pictorial to ensure consistency of information at each site and to account for
disparities in educational levels across the three sites.[25]
Health systems activities/interaction
This feasibility study incorporates interaction and active involvement with providers from
the structured health systems. Involvement of the health providers (at primary, community
and sub-health centre levels) may strengthen and complement the group-based
intervention as well as enhance follow-up interactions with the health system (including
clinical and pharmaceutical services). The facilities of health care providers serving the
communities, selected for the baseline study, are assessed to identify how equipment and
staffing could be supported to improve diagnosis, treatment and ongoing management of
hypertension.
Analysis of the costs of the intervention
Costs of the intervention will be assessed in terms of programme costs such as ASHA
incentives and meeting set-up costs. Cost of developing resources including development
time and production of resources will inform this analysis
Control group
At the time of the initial data collection, all participants with elevated BP (SBP ≥140mmHg
and/or DBP ≥90mmHg) in the control sampling units are informed that their BP is elevated
and are advised to visit their local health provider for further investigation. Additionally,
these participants are provided basic nutritional advice such as reducing dietary salt,
reducing use of palm oil, increasing intake of fruits and vegetables, increasing physical
activity, and reducing use of tobacco and alcohol. Participants who were previously aware of
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their hypertensive status are advised to revisit their doctor for review of their medication
and to take their medication as told by their doctor. No further care or advice is provided
during the intervention period.
At the end of the intervention period the participants with hypertension in the control
sampling units are revisited for outcome measures, as outlined below. At this time these
participants receive further advice and recommendations regarding their hypertension
status. Furthermore, they are provided with pictorially-based educational material about
hypertension and how to manage the disease.
Outcomes of the Intervention
Participants attending the group meetings are revisited approximately 6 to 8 weeks after
the last meeting to complete final data collection. In these participants, and in those in the
control arm, we re-measure BP and anthropometry and re-asses health care utilisation,
attitudes to behaviour change and activities related to self-management of hypertension
(see Supplementary Table 1). Changes in continuous and categorical variables are assessed
relative to their values determined at the time of the cross-sectional survey. These include
SBP, DBP, waist and hip circumference, and weight. Medication initiation and any dosage
changes (observed and documented) are recorded. Medication adherence to BP lowering
medication is assessed in accordance with the Hill-Bone Compliance Adherence Survey.[42]
This survey is used to assess use of prescribed medication over the prior 2-week period.[42]
Knowledge about hypertension and associated risk factors relating to hypertension is
reassessed, along with physical activity over the 2 weeks prior to final administration of the
questionnaire. Barriers to attending the meetings are assessed, as are engagement and
utilisation of health services during the period of the intervention.
Perceptions by participants of the level of support obtained from the ASHA [43, 44] are
assessed in the final survey using a three scale response (not at all/some of the time/all of
the time). Usefulness of advice and self-management assistance received by the participant
is assessed using a seven-point Likert scale (a little useful to extremely useful).
Encouragement and support received, as perceived by the participant, resulting from
various group meeting activities is assessed using a four-point response (no support, a little,
moderate, a lot of support).
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After each meeting ASHAs complete a meeting report to aid the assessment of fidelity of the
meeting structure and content to the protocol (Supplementary Table 5). This report includes
details of the meetings such as the number of enrolled participants and community
members attending the meeting, and major activities undertaken during the meeting.
Additional activities by the ASHA to extend the healthy behaviour messages, such as
tobacco cessation and physical activity, as well as behaviours specific to the management of
hypertension from the meeting to the wider community by the ASHAs is also measured
categorically (Yes/No). This measure captures support/interactions of ASHAs with meeting
participants outside the meeting and their discussions of the meeting content with other
members of the community and/or with community leaders or health service members.
Members of the research team also complete a report after each meeting to provide further
information about the meeting activities and detail the shared experiences or difficulties of
the participants in managing their hypertension or achieving their goals (Supplementary
Table 5). These reports are used to assess the fidelity of the implementation of the
intervention to the protocol.
System outcomes of the programme are obtained via surveys of ASHAs at the end of the
intervention (and compared to surveys conducted at the commencement of the
intervention) to assess changes in knowledge of ASHAs (Supplementary Table 5). We also
assess the integration or engagement of health providers in the programme by assessing
their participation during the intervention. Furthermore, participants provide information
about other providers of assistance and information/advice (health care team and
family/friends/community) and assess meeting activities (goal setting, attendance, problem
solving) for delivering self-management support. The overall response rate (people with
hypertension in the cross-sectional survey, number consented to participate in meetings) is
calculated and participants who discontinue the programme are asked to complete a
programme evaluation form and to undertake final measurements at the end of the
intervention.
Data Management
All assessments and data forms are checked on the day of completion. Any forms with
missing data or inconsistencies are returned to the Health Worker for completion. Data are
coded and entered as the study progresses. Edit checks are performed and data verified as
necessary.
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All forms are designed in TELEform Elite version 10.5®. Completed questionnaires are
electronically scanned into a computer using a Tagged Image File Format (TIFF). These data
are then transferred to Monash University and uploaded into a Microsoft Access database
using TELEform. The database contains no identifying information and is housed on a secure
server at Monash University. All principal investigators will have access to the de-identified
final data.
Data Analysis
Analysis will be based on intention to treat. For individual outcomes proportions will be
compared using Chi-squared (χ2) test
and continuous measures will be compared using
Student’s unpaired t-test. Univariable analysis will also be undertaken using logistic and
linear regression. Multivariable analyses will be adjusted for age, sex and study site.
Considering the unequal distribution of age and sex in the participating population,
appropriate sampling weights will be applied to all data analyses.
Knowledge/awareness of the presence of hypertension and about risk factors will be
calculated using the known (and measured) prevalence of hypertension in each population.
Between-group differences in knowledge, previous measurement of hypertension, and
barriers to treatment and their change over time will be compared using χ2. Logistic
regression (appropriate for the binary outcome variable of presence/absence of BP≥140/90
mmHg) will be used to study the factors associated with control of hypertension. Those
factors identified as either potentially significant (p < 0.20) or biologically relevant will then
be introduced into multivariable regression analyses in a backward stepwise fashion to
construct a predictive model for good management of hypertension. This technique enables
the assessment of both categorical variables (e.g. gender) as well as continuous variables
(e.g. age). The scales of the continuous covariates will be checked for suitability using
fractional polynomial plots. Collinearity between variables will be evaluated using partial
correlations. In addition, routine diagnostic tests (Hosmer-Lemeshow test) will be used to
validate the fitted model. We will test efficacy of the intervention by analysis of covariance.
This allows us to adjust for baseline differences between groups.
Trial registration
We applied for registration of the feasibility trial with the Clinical Trials Registry of India
(CTRI) on the 28th of September 2015, approximately 2 months before the first patient was
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enrolled. Our registration number (CTRI/2016/02/006678) was obtained from the CTRI on
25th
of February 2016, without any changes to the study design outlined in our original
application. Such delays are very common in India and so it is usual practice to commence
recruiting patients before the final registration number is received.
Ethics and Dissemination
Approval for the overall study was obtained from the Health Ministry’s Screening
Committee, Ministry of Health & Family Welfare, Government of India (No.
58/4/Indo_CHR/2013/NCD-II) and Monash University Human Research Ethics Committee
(MUHREC number 2013001327). Each site obtained ethics approval from individual
governing institutional review boards (IRBs) for site specific aspects of the study. The site in
Trivandrum obtained approval from Sree Chitra Tirunal Institute for Medical Sciences and
Technology Institutional Ethics Committee (IEC Regn No. ECR/189/Inst/KL/2013). The West
Godavari site obtained approval from the Centre for Chronic Disease Control, New Delhi (IEC:
IRB00006330). The Rishi Valley site obtained approval from the IRBs of the Rishi Valley
Education Centre and Christian Medical Centre, Vellore (IRB Min No. 8313). Prior to
inclusion in the survey, Sarpanches are approached to obtain approval for the study team to
seek participation from the residents of the village in the study.
All participants are provided a written participant information sheet and informed consent
form in the local language. The study research staff at each site is responsible for obtaining
informed consent. For those participants who are illiterate, the participant information
sheet is read out to them. All participants sign (thumb print for those who are illiterate) the
informed consent form.
Each consenting participant is assigned a study identification number. To maintain
confidentiality all questionnaires, and other study documents, include only this
identification number, with no identifying information present.
Feedback from study phases 1b and 1c will be consolidated after the intervention and
disseminated to public health systems to inform health provision services. Based on
medicines availability (Phase 1c) and qualitative feedback from focus groups and in depth
interviews (Phase 1b) a treatment algorithm/guideline which is consistent with the Indian
Hypertension Management Guidelines [7] will be developed. In order to strengthen the
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integration of community-based and delivered education programmes for self-management
of health into the local primary health care system, we will disseminate the following
information to benefit local health services through:
1. sharing of information gained from the cross-sectional survey;
2. developing resources for use by health system staff for assessing and treating
hypertension;
3. providing details to health centres about the resources and training they require to
support such an intervention.
We will also disseminate the following information to improve availability of pharmaceutical
preparations:
1. informing pharmacies about medicine availability and possibilities for providing
medications to suit communities enrolled in the intervention;
2. discussing options for enhancing or improving medication adherence (by addressing
availability, dosing and packaging options).
Results will be shared with the Ministry of Health & Welfare and officials of the National
Health Mission and relevant local health care providers and communities at each of the sites.
Further dissemination of the results to research, clinical and health communities will be
pursued via international peer-reviewed journal articles and conference presentations. The
Global Alliance of Chronic Diseases (GACD) will also be informed of the findings of the study.
DISCUSSION
Comprehensive assessment of the barriers to control of hypertension across three diverse
settings will provide important information about the diversity of barriers to care across
these settings and how these might most appropriately be addressed in the future.
Development of an intervention programme, based on the individual and system barriers
identified and tailored to the specific needs of each area included in the study, may provide
a solution to address the current deficiencies in managing hypertension across rural regions.
We will also be able to determine the feasibility of using ASHAs to deliver a community
group based self-management programme for management of hypertension. Task shifting
disease management and control from physicians to non-physician health workers is
increasingly being explored as a possible solution for populations with limited access to
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health care. In a systematic review of task shifting for non-communicable disease
management in low and middle income countries Joshi et al suggest that the use of non-
physician health workers may be effective and additionally be cost effective.[45] There are
mixed results for the effectiveness of community health workers (CHWs) in identification
and management of cardiovascular disease in various settings in India.[46, 47] Further trials
to assess the effectiveness of CHWs in the management of cardiovascular risk factors are
currently underway.[48, 49] Neither of these trials are testing the exclusive use of ASHAs in
specifically delivering hypertension self-management education and monitoring. However
these trials, along with ours, will provide valuable evidence which may encourage the
government to fund ASHAs to manage non-communicable diseases or to identify a new
cadre of village health workers to work in the area of non-communicable disease. Because
ASHAs are employed in most rural regions, the programme is more likely to be scalable
across rural India. This information will also contribute to disease prevention at a global
level as the lessons learned could be suitably adapted across other similar settings.
Strengths and limitations
A limitation to this study is that the training programme delivered to ASHAs has not been
formally tested. This may limit the efficacy of the intervention. However, after seeking input
from ASHAs involved in the pilot training, we were able to make important refinements to
both the ASHA training booklet and the educational resources for participants. We also
assessed the ASHAs skills in measuring anthropometry and BP, as well as their knowledge of
hypertension and NCDs before and after the formal training period as well as at the end of
the intervention. This will enable us to determine the competencies of the ASHAs.
There are also a number of strengths to this study. First, this is a large community based
study in three economically and developmentally diverse rural populations in Southern India,
with detailed data on demographics; lifestyle-related factors including physical activity,
tobacco use, and alcohol consumption; dietary factors, including cooking practices and use
of salt; stress; and overcrowding. Secondly, there is detailed knowledge about hypertension
and its risk factors, awareness of hypertensive status, and further details about use of
medications, barriers to treatment including access, cost, adoption of lifestyle factors and
compliance with medication use. Such a rich data set will enable detailed exploration of
associations between hypertension and economic and epidemiological transition.
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Furthermore, the additional qualitative studies, including the medicines availability survey,
in-depth interviews, and focus group discussions, will allow us to triangulate potential
barriers to diagnosis, treatment and control of hypertension. Data are collected using
validated and standardised tools which will allow comparisons with other studies in India
and other LMICs.
Finally, the feasibility study of employing ASHAs in community-based activities to prevent
and manage hypertension will add to the increasing body of evidence for utilising non-
physician health workers in the detection and management of NCDs, particularly in LMICs.
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AUTHOR’S CONTRIBUTIONS
MAR wrote the first draft of the manuscript. AGT is the Principal Investigator, and conceived
the study. All authors provided input into the study design, provided intellectual input to the
manuscript, and approved the final version of the manuscript.
FUNDING STATEMENT
This work was funded by The National Health and Medical Research Council (NHMRC) under
the Global Alliance for Chronic Disease (GACD) programme (grant number GNT1040030),
with additional funds provided from Monash University (via the principal investigator). AGT
was supported by a fellowship from the NHMRC (GNT1042600). PKM is a Wellcome
Trust/Department of Biotechnology Intermediate Career Fellow. RJ was supported by a
fellowship from the National Heart Foundation (GNT100484). The funders had no role in the
design or conduct of the study, and no role in the decision to submit the protocol for
publication.
DECLARATIONS OF INTEREST
Michaela A Riddell has nothing to disclose
Dr Rohina Joshi reports nothing to disclose
Brian Oldenburg has nothing to disclose
Clara Chow has nothing to disclose
KR Thankappan has nothing to disclose.
Ajay Mahal reports grants from National Health & Medical Research Council of Australia,
during the conduct of the study
Nihal Thomas reports grants from National Health & Medical Research Council of Australia,
during the conduct of the study
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Velandai K Srikanth reports nothing to disclose
Roger G. Evans reports receiving grant funding from the National Health and Medical
Research Council of Australia
Kartik Kalyanram has nothing to disclose
Kamakshi Kartik has nothing to disclose
Pallab K Maulik reports receiving an Intermediate Career Fellowship from the Wellcome
Trust/DBT India Alliance, during the conduct of the study
Simin Arabshahi reports grants from National Health and Medical Research Council of
Australia, during the conduct of the study
RP Varma has nothing to disclose
Rama K Guggilla has nothing to disclose
Oduru Suresh has nothing to disclose
GK Mini has nothing to disclose
Fabrizio D’Esposito has nothing to disclose
Thirunavukkarasu Sathish has nothing to disclose
Mohammed Alim has nothing to disclose
Amanda G Thrift reports grants from National Health and Medical Research Council of
Australia (GNT1040030 and GNT1042600), and grants from Monash University, during the
conduct of the study
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Available from: http://www.hqontario.ca/en/documents/eds/2013/full-report-
OCDM-self-management.pdf. Accessed April 2016.
38. Nyamathi A, Vatsa M, Khakha DC, et al. HIV Knowledge improvement among nurses in
India Using a train-the-trainer program. The Journal of the Association of Nurses in
AIDS Care: JANAC 2008;19(6):443-49 doi: 10.1016/j.jana.2008.06.001.
39. Ministry of Health and Family Welfare. Reading Material for ASHA Role in Prevention
and Control of Non Communicable Diseases (NCDs) Book No. 8. Available at
http://mohfw.nic.in/showfile.php?lid=656. Accessed April 2016.
40. National Rural Health Mission. Community Processes Guidelines - 2013. New Delhi, 2013.
Available at http://nrhm.gov.in/images/pdf/communitisation/asha/Orders-
Guidelines/Guidelines_for_Community_Processes_2014_English.pdf. Accessed April
2016.
41. National Rural Health Mission. Guidelines for Village Health Sanitation and Nutrition
Committee Part B. In: Gupta A, ed. Guidelines for Community Processes. New Delhi:
Ministry of Health and Family Welfare, 2013:29. Available at
http://nrhm.gov.in/images/pdf/communitisation/vhsnc/order-
guidelines/Guidelines_for_Community_Processes_2014%20English.pdf. Accessed
April 2016.
42. Kim MT, Hill MN, Bone LR, et al. Development and testing of the Hill-Bone Compliance to
High Blood Pressure Therapy Scale. Prog Cardiovasc Nurs 2000;15(3):90-6.
43. Glasgow RE, Whitesides H, Nelson CC, et al. Use of the Patient Assessment of Chronic
Illness Care (PACIC) with diabetic patients: relationship to patient characteristics,
receipt of care, and self-management. Diabetes Care 2005;28(11):2655-61. doi:
10.2337/diacare.28.11.2655.
44. McCormack LA, Williams-Piehota PA, Bann CM, et al. Development and validation of an
instrument to measure resources and support for chronic illness self-management: a
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model using diabetes. Diabetes Educ 2008;34(4):707-18 doi:
10.1177/014572170832102134/4/707 [pii].
45. Joshi R, Alim M, Kengne AP, et al. Task shifting for non-communicable disease
management in low and middle income countries--a systematic review. PLoS One
2014;9(8):e103754 doi: 10.1371/journal.pone.0103754.
46. Joshi R, Chow CK, Raju PK, et al. The Rural Andhra Pradesh Cardiovascular Prevention
Study (RAPCAPS): a cluster randomized trial. J Am Coll Cardiol 2012;59(13):1188-96
doi: 10.1016/j.jacc.2011.10.901.
47. Prabhakaran D, Jeemon P, Goenka S, et al. Impact of a worksite intervention program on
cardiovascular risk factors: a demonstration project in an Indian industrial population.
J Am Coll Cardiol 2009;53(18):1718-28 doi: 10.1016/j.jacc.2008.12.062.
48. Fathima FN, Joshi R, Agrawal T, et al. Rationale and design of the Primary pREvention
strategies at the community level to Promote Adherence of treatments to pREvent
cardiovascular diseases (REPARE) trial. Am Heart J 2013;166(1):4-12 doi:
10.1016/j.ahj.2013.03.024.
49. Jeemon P, Prabhakaran D, Goenka S, et al. Impact of comprehensive cardiovascular risk
reduction programme on risk factor clustering associated with elevated blood
pressure in an Indian industrial population. Indian J Med Res 2012;135(4):485-93.
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Figure Legends:
Figure 1: CHIRI Study Design outlines the approach taken to select and survey the
populations. Primary Sampling Unit (PSU)
Figure 2: Recruitment flow chart for intervention study. Residents of the Primary sampling
unit who participated in the baseline cross sectional survey are eligible to be recruited into
the feasibility trial (intervention and control arms) based on the criteria and recruitment
flow chart depicted here. BP – blood Pressure, HCP – Health Care Provider, HTN –
Hypertension, SYS – systolic, DIA- diastolic, WHO – World Health Organization
Figure 3: Feasibility trial intervention components and proposed outcomes
ASHA –Accredited Social Health Activist, HCP -Health Care Provider, PHC -Primary Health
Centre, BMI -Body Mass Index
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Figure 1: CHIRI Study Design outlines the approach taken to select and survey the populations. Primary
Sampling Unit (PSU)
92x49mm (600 x 600 DPI)
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Figure 2: Recruitment flow chart for intervention study. Residents of the Primary sampling unit who participated in the baseline cross sectional survey are eligible to be recruited into the feasibility trial
(intervention and control arms) based on the criteria and recruitment flow chart depicted here. BP – blood Pressure, HCP – Health Care Provider, HTN – Hypertension, SYS – systolic, DIA- diastolic, WHO – World
Health Organization
105x66mm (600 x 600 DPI)
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Figure 3: Feasibility trial intervention components and proposed outcomes
ASHA –Accredited Social Health Activist, HCP -Health Care Provider, PHC -Primary Health Centre, BMI -Body
Mass Index
126x92mm (600 x 600 DPI)
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Supplementary material Cluster randomised feasibility trial to improve the Control of Hypertension In Rural India (CHIRI): a study protocol
Michaela A Riddell1, Rohina Joshi2 , Brian Oldenburg3, Clara Chow2,4, KR Thankappan5, Ajay
Mahal6,7, Nihal Thomas8, Velandai K Srikanth1, Roger G. Evans9, Kartik Kalyanram10, Kamakshi
Kartik10, Pallab K Maulik11,12, Simin Arabshahi1, RP Varma5, Rama K Guggilla11, Oduru Suresh2,10, GK
Mini5, Fabrizio D’Esposito3, Thirunavukkarasu Sathish3, Mohammed Alim11, Amanda G Thrift1*
1 School of Clinical Sciences at Monash Health, Monash University, Melbourne Australia
2 The George Institute for Global Health, University of Sydney, Australia
3 Melbourne School of Population and Global Health, University of Melbourne, Australia
4 Department of Cardiology, Westmead Hospital, Sydney, Australia
5 Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical
Sciences and Technology, Trivandrum, Kerala, India
6 School of Public Health and Preventative Medicine, Monash University, Melbourne Australia
7Nossal Institute for Global Health, Melbourne School of Population and Global Health, University
of Melbourne, Australia
8 Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, Tamil
Nadu, India
9 Cardiovascular Disease Program, Biosciences Discovery Institute and Department of Physiology,
Monash University, Melbourne, Australia
10 Rishi Valley Rural Health Centre, Chittoor, Andhra Pradesh, India
11George Institute for Global Health, Hyderabad Telangana, India
12George Institute for Global Health ‐ Oxford University, Oxford, UK
1
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Trivandrum
Rishi Valley
West Godavari
Supplementary Figure 1. Location of each site.
2
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Kerala State
14 districts
Trivandrum District
Medicines survey
Chirayinkizhu Taluk (Sampling Frame)
Random Sampling (1 of 4 Taluks)
360 individuals from each of 10 wards = 3600
individuals (Sample)
Cross-sectional study
2 Wards (Intervention)
4 Wards (Control)
Hypertensive individuals from cross-sectional study
Random allocation of
wards
Feasibility study
FGDs and IDIs
Selected based on access to coordinating
institute
10 Panchayats
Random Sampling 10 of 22
Panchayats
Random Sampling 1 ward from each of 10 Panchayats
10 wards (one from each Panchayat)
Age/Sex stratified random sampling
Supplementary Figure 2: Sampling frames for individual study sites: A. Chirayinkizhu Taluk, Trivandrum District, Kerala B. West Godavari District, Andhra Pradesh, and C. Rishi Valley Region, Chittoor District, Andhra Pradesh. FGD – Focus Group Discussion, IDI – In Depth Interview
A.
3
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B. Andhra Pradesh State
All 3 Revenue Divisions
11 Mandals
Medicines survey
10 Villages (Sampling Frame)
Random Allocation
450 individuals each from 10 villages = 4,500
individuals (Sample)
Cross-sectional study
4 villages (Control)
Hypertensive individuals from cross-sectional study
Random Allocation
Feasibility study
FGDs & IDIs
3 Villages
West Godavari District
2 villages (Intervention)
76 Villages (Study Population)
Villages located within a 50 km radius of Bhimavaram town
Age- and sex-stratified sampling
4
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C. Andhra Pradesh State
Madanapalle Revenue
Kurabalakota Mandal
Medicines survey
221 Hamlets (Sampling Frame), Stratified by Hamlet Size (small, medium, large)
Random Sampling of Hamlets
133 Hamlets (45 small, 44 medium, 44 large),
6246 individuals (Sample)
Cross-sectional study
Randomised Hamlets from 2 Villages (Control)
Hypertensive individuals from cross-sectional study
Random allocation
Feasibility study
FGDs
IDIs
7 Hamlets
Chittoor District
Randomised Hamlets from 1 Village (Intervention)
6 Villages (Study Population)
6 excluded (5 no inhabitants, 1 Rishi
Valley School habitation)
5
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Supplementary Table 1: Data collection, study phase and tools
Component Measurement tools/Questions Phase 1
Survey
Phase 2
Survey
Demographic Measures Population measures[1]]
Age, Sex, Marital status, Age oldest child Literacy (read/write), Highest Education, Average Household Income Source of household income (amount), Household earners Occupation, Ration Card (if yes what type), Household Expenditure Number of people and adults in household Health care insurance (type and who pays) Household structure (walls/floor/roof) Access to drinking water Toilet facility Use of washing after toilet
Clinical InformationFamily History
Close relative: history of heart attack before 60yr, history of stroke before 60yr, history of diabetes (any age), history of high BP (any age)
Co‐morbidities/ Risk Factors [1]
Ever had heart attack, coronary bypass, angioplasty/stent
Ever told by HCW: heart problems. Diabetes, chronic Kidney disease, high fats: if yes;
about how long ago (years/months)
Anthropometric [1]
Blood Pressure, Weight, Height, Waist and Hip Circumference
Treatment/ Awareness history [1]
Ever told Hypertension Ever had BP checked: if yes;
was it in last 12 months, who checked Blood Pressure
Ever had prescription for Blood Pressure medication; if yes;
where did you get it,
do you take it as directed
Behavioural Knowledge barriers
Which actions prevent Hypertension
What have you done in last 12mth
Physical Activity[ 1]
Physical activity as per WHO STEPS (including work and leisure related) Hours of Sleep Barriers to physical activity
Diet [1, 3‐5] Person who prepares food Add salt during cooking, if yes how many teaspoons What type of salt and whether iodised
Add salt before eating
Daily salt intake
Added sugar to food and drink before consuming
Days/week fruit intake
Typical servings of fruit/ typical day Days/week vegetable intake
Typical servings of vegetables/ typical day No. of meals/week with fried vegetables, meat/poultry, fish, nuts or legumes Number of times/week consuming dairy products, deep fried/fast foods Type of oil used to prepare meals Number of days eating eggs, chicken, fish, other seafood, mutton, beef, pork, rice(idly dosa, puttu etc), pulses (dhal kidney beans etc) other cereals (chapathi, puris, roti, chickpeas etc)
Barriers to eating fruit/vegetables
6
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Smoking [1, 6]
Ever smoked (100 cigarettes or 100 times smokeless) Age initiated Current smoking(smokeless) _ amount/day Frequency of tobacco use (smoking/smokeless) Time since quitting Passive exposure Barriers to quitting tobacco use
Alcohol [1]
Ever consumed alcoholic beverage Use and frequency past 30 days Drinking habit (now and previous 12 months) Use in past 12months Frequency of one standard drink over past 12 months Quantity /day (average) Quit due to health reason Age drinking initiated CAGE substance abuse screening tool [7]
Barriers to quitting alcohol [8]
Medication
Do you take medication for BP as directed?
Taking any medications? Taking any AYUSH or traditional medications? How often do you forget to take all medications Name/dose of medication (Coded), Medication taken as directed by health care worker, medication confirmed by research team
Hill Bone Compliance to therapy for high blood pressure [9]
Quality of Life General Assessment Chronic Burden [10]
Support[11] Bothered by problems[12]
How helpful to talk with about personal problem
How helpful to talk to about borrowing money
Bothered by problems
Mediators and Moderators Hypertension Knowledge[13] Hypertension beliefs
How does it affect health Likelihood of other disease if hypertension is controlled Which diseases prevented if hypertension is controlled High blood pressure when working/worried Lie down when having high blood pressure Medication too costly Doctor too far to see about high blood pressure
Cost Effective Analysis Health care utilisation
Medical treatment/advice as outpatient last 3 months: if yes;
Number of times in 1 and 3 months
Where and from whom, how did you pay
Medical use over last 12 months similar? If no, is it more or less? Admission as inpatient over last 12 months: if yes;
What type of facility, length of stay, how did you pay?
Last routine check‐up
If longer than 5 years – why?
Ease or difficulty to see a doctor
Transportation mode to health centre Length of time to get to health centre
Focus Group Discussions Explore current situation/beliefs of population
In depth Interviews Explore current situation/beliefs & attitudes of health personnel
Medicine availability surveyExplore current availability of prescribed medication for hypertension as per WHO essential list
WHO STEPS (World health Organisation STEPwise approach to disease surveillance;
7
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Supplementary Table 2: Focus Group Question Guide for Participants with Hypertension
Question Number
Guide question
1 Where do you usually go if you are ill with any disease?
1a Why do you go where you go?
2 Where do you usually go for chronic diseases, especially cardiovascular diseases?
2a Why do you go where you go?
3 What do you mean by high blood pressure?
4 Who gets high blood pressure (and cardiovascular diseases)?
5 What do you think causes high blood pressure?
6 How do people know if they have high blood pressure?
7 How blood pressure is usually diagnosed
7a How was blood pressure diagnosed in you?
8 Could you tell me about the care you receive for your high blood pressure?
8a Where do you usually go to receive care for your high blood pressure?
8b Could you tell me your experiences of receiving care for your high blood pressure (time to go to
hospital, time spent at hospital, your interactions with doctors and other health care workers)?
8c Could you explain about the instructions that you receive from doctors and other health care
workers?
9 What do you mean by control of high blood pressure?
9a Could you tell me how blood pressure can be controlled?
9b What do you think are the reasons for not being able to control high blood pressure?
10 Could you tell me what prevents you from seeking care for your blood pressure?
11 Could you explain about costs involved in getting care for your high blood pressure?
12 Could you explain where do you get your blood pressure medications?
12a What would you do if you don’t get the same medications as prescribed by your doctor or other
health care worker?
13 Could you explain about how you take your blood pressure medications?
14 Why do you think you are not able to take medications regularly?
15 Is there anything else you want to tell about high blood pressure treatment and control?
16 Could you tell me something about ASHAs in your village?
17 What could ASHAs do to control your high blood pressure?
18 If any program is done through your primary health centre to control your high blood pressure, what do
you want it to be like?
19 Is there anything else you want to tell me?
8
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Supplementary Table 3: Interview guide for in‐depth interview with doctors from Primary Health Centres (PHCs)
Question Number
Guide question
1 Could you describe how you usually manage patients with hypertension?
2 Could you tell me in whom do you regularly check blood pressure?
2a What is the approximate percentage?
2b What are the reasons for not checking blood pressure?
3 Could you tell me about any guidelines that you follow for the diagnosis and management of hypertension?
3a If yes, what guidelines do you follow?
3b If no, what are the reasons?
4 What do you think about absolute risk approach for management of patients with cardiovascular disease?
4a Do you use absolute risk approach?
4b If not, could you tell me the reasons?
5 How do you think the health care system in which you are working now is equipped for the diagnosis and management of hypertension?
5a If yes, what are the reasons for inadequate diagnosis and treatment of hypertension?
5b If not, what can be done to improve it?
6 Do you feel you are sufficiently equipped to diagnose and manage individuals with hypertension?
7 Do you think you need anything more, such as training, to deal with individuals with high blood pressure?
8 Could you tell me how you manage hypertensive patients with complications?
9 Do you have any comments or suggestions for improving the diagnosis and management of individuals with hypertension?
10 Do you have any other thing to say?
Supplementary Table 4: Interview guide for in‐depth interview with staff nurse or ANM/ASHA
Question Number
Guide question
1 Could you describe me your typical "working” day and what is usually involves?
2 Could you tell me how you are involved in the management of chronic conditions?
3 Could you tell me about your involvement in identification and management of individuals with high blood pressure?
4 Could you tell me about any training that you have received for checking blood pressure and identification and management of individuals with high blood pressure?
5 How do you think the health care system in which you are working now is equipped for the identification and management of individuals with high blood pressure?
5a If yes, then what do you think are the reasons for inadequate diagnosis and control of high blood pressure?
5b If not, what do you think can be done to improve it?
6 Do you feel you are sufficiently equipped to manage individuals with high blood pressure?
7 Do you think you need anything more, such as training, to deal with individuals with high blood pressure?
8 How is your relationship with other healthcare providers in your PHC and sub‐centre?
9 Could you tell me how do you feel about completing all the tasks given to you in a working day?
10 What do you think about having another health care worker to work with you?
11 Could you tell me about your salary?
12 Do you have any other comments or suggestions about how we can improve the identification and management of individuals with high blood pressure?
13 Do you have any other thing to say?
9
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Supplementary Table 5: Timing and use of data collection tools for process evaluation
Process Evaluation Pre‐
Intervention During
Intervention Post
Intervention
ASHA pre training knowledgeIntervention process evaluation (training)
ASHA post training knowledge & evaluation Intervention process evaluation (training)
Intervention Fidelity
Meeting attendance
Blood pressure monitoring
Medication adherence
Intervention Fidelity & Process Goal setting list
Participant Action plans completed
ASHA Meeting report
Research member meeting report
Participant Intervention Evaluation (including ‐ Attendance, reasons for missed meetings
Support from family/friends/community
Relationship with clinician/HCP
Perceived support from ASHA [14,15]
People with hypertension who did not participate
Factors enhancing ability to attend
Knowledge about hypertension
Perceptions of the community to extended role of ASHAs
ASHA post intervention knowledge Intervention process evaluation (training and retained knowledge)
ASHA, Accredited Social health Activist; HCP, health care provider
10
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5. Morris Hicks J. The 4Leaf Survey. 4Leaf Global, 2015. Available at https://4leafprogramdotcom.files.wordpress.com/2015/10/4leaf‐pdf‐survey‐103015.pdf. Accessed April 2016.
6. International Tobacco Control Policy Evaluation Project. ITC Survey‐ 4‐Country W9 Replensihment Web US online survey code 4C9‐Pw‐US. 2015. Available at http://www.itcproject.org/files/ITC_4C9_US_Replenishment_SNQ_web_EN.pdf. Accessed April 2016.
7. Ewing JA. Detecting alcoholism. The CAGE questionnaire. JAMA 1984;252(14):1905‐7. 8. Girish N, Kavita R, Gururaj G, et al. Alcohol use and implications for public health: patterns
of use in four communities. Indian J Community Med 2010;35(2):238‐44. 9. Kim MT, Hill MN, Bone LR, et al. Development and testing of the Hill‐Bone Compliance to
High Blood Pressure Therapy Scale. Progress in cardiovascular nursing 2000;15(3):90‐6. 10. Gebreab SY, Diez‐Roux AV, Hickson DA, et al. The contribution of stress to the social
patterning of clinical and subclinical CVD risk factors in African Americans: The Jackson Heart Study. Soc Sci Med 2012;75(9):1697‐707.
11. Seidman E, Allen L, Aber JL, et al. Development and validation of adolescent‐perceived microsystem scales: social support, daily hassles, and involvement. Am J Community Psychol 1995;23(3):355‐88.
12. Spitzer RL, Kroenke K, Williams JB, et al. A brief measure for assessing generalized anxiety disorder: the GAD‐7. Arch Intern Med 2006;166(10):1092‐7.
13. Oliveria SA, Chen RS, McCarthy BD, et al. Hypertension knowledge, awareness, and
attitudes in a hypertensive population. J Gen Intern Med 2005;20(3):219‐25.
14. Glasgow RE, Whitesides H, Nelson CC, et al. Use of the Patient Assessment of Chronic Illness Care (PACIC) with diabetic patients: relationship to patient characteristics, receipt of care, and self‐management. Diabetes care 2005;28(11):2655‐61.
15. McCormack LA, Williams‐Piehota PA, Bann CM, et al. Development and validation of an instrument to measure resources and support for chronic illness self‐management: a model using diabetes. Diabetes Educ 2008;34(4):707‐18 doi: 10.1177/014572170832102134/4/707 [pii][published Online First: Epub Date]|.
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SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents*
Section/item ItemNo
Description
Administrative information
Title 1 Descriptive title identifying the study design, population, interventions, and, if applicable, trial acronym
Trial registration 2a Trial identifier and registry name. If not yet registered, name of intended registry
2b All items from the World Health Organization Trial Registration Data Set
Protocol version 3 Date and version identifier
Funding 4 Sources and types of financial, material, and other support
Roles and responsibilities
5a Names, affiliations, and roles of protocol contributors
5b Name and contact information for the trial sponsor
5c Role of study sponsor and funders, if any, in study design; collection, management, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication, including whether they will have ultimate authority over any of these activities
5d Composition, roles, and responsibilities of the coordinating centre, steering committee, endpoint adjudication committee, data management team, and other individuals or groups overseeing the trial, if applicable (see Item 21a for data monitoring committee)
Introduction
Background and rationale
6a Description of research question and justification for undertaking the trial, including summary of relevant studies (published and unpublished) examining benefits and harms for each intervention
6b Explanation for choice of comparators
Objectives 7 Specific objectives or hypotheses
Trial design 8 Description of trial design including type of trial (eg, parallel group, crossover, factorial, single group), allocation ratio, and framework (eg, superiority, equivalence, noninferiority, exploratory)
Page 1
Page 3
Identified on Master protocol Version 9, 2 March 2016
Page 22Page 1 and 22
Not applicable
Page 22
Not applicable
Pages 4-6
Pages 12-13
Page 6
Pages 6-12
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Methods: Participants, interventions, and outcomes
Study setting 9 Description of study settings (eg, community clinic, academic hospital) and list of countries where data will be collected. Reference to where list of study sites can be obtained
Eligibility criteria 10 Inclusion and exclusion criteria for participants. If applicable, eligibility criteria for study centres and individuals who will perform the interventions (eg, surgeons, psychotherapists)
Interventions 11a Interventions for each group with sufficient detail to allow replication, including how and when they will be administered
11b Criteria for discontinuing or modifying allocated interventions for a given trial participant (eg, drug dose change in response to harms, participant request, or improving/worsening disease)
11c Strategies to improve adherence to intervention protocols, and any procedures for monitoring adherence (eg, drug tablet return, laboratory tests)
11d Relevant concomitant care and interventions that are permitted or prohibited during the trial
Outcomes 12 Primary, secondary, and other outcomes, including the specific measurement variable (eg, systolic blood pressure), analysis metric (eg, change from baseline, final value, time to event), method of aggregation (eg, median, proportion), and time point for each outcome. Explanation of the clinical relevance of chosen efficacy and harm outcomes is strongly recommended
Participant timeline
13 Time schedule of enrolment, interventions (including any run-ins and washouts), assessments, and visits for participants. A schematic diagram is highly recommended (see Figure)
Sample size 14 Estimated number of participants needed to achieve study objectives and how it was determined, including clinical and statistical assumptions supporting any sample size calculations
Recruitment 15 Strategies for achieving adequate participant enrolment to reach target sample size
Methods: Assignment of interventions (for controlled trials)
Allocation:
Sequence generation
16a Method of generating the allocation sequence (eg, computer-generated random numbers), and list of any factors for stratification. To reduce predictability of a random sequence, details of any planned restriction (eg, blocking) should be provided in a separate document that is unavailable to those who enrol participants or assign interventions
Page 7
Pages 8, 9, and 13 and Figure 2
Page 13
Not applicable
Pages 14 and 17
Not applicable
Pages 16 and 17
Page 13 and Figure 3
Page 12
Page 12
Pages 7, 9 and Figure 1
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Allocation concealment mechanism
16b Mechanism of implementing the allocation sequence (eg, central telephone; sequentially numbered, opaque, sealed envelopes), describing any steps to conceal the sequence until interventions are assigned
Implementation 16c Who will generate the allocation sequence, who will enrol participants, and who will assign participants to interventions
Blinding (masking)
17a Who will be blinded after assignment to interventions (eg, trial participants, care providers, outcome assessors, data analysts), and how
17b If blinded, circumstances under which unblinding is permissible, and procedure for revealing a participant’s allocated intervention during the trial
Methods: Data collection, management, and analysis
Data collection methods
18a Plans for assessment and collection of outcome, baseline, and other trial data, including any related processes to promote data quality (eg, duplicate measurements, training of assessors) and a description of study instruments (eg, questionnaires, laboratory tests) along with their reliability and validity, if known. Reference to where data collection forms can be found, if not in the protocol
18b Plans to promote participant retention and complete follow-up, including list of any outcome data to be collected for participants who discontinue or deviate from intervention protocols
Data management
19 Plans for data entry, coding, security, and storage, including any related processes to promote data quality (eg, double data entry; range checks for data values). Reference to where details of data management procedures can be found, if not in the protocol
Statistical methods
20a Statistical methods for analysing primary and secondary outcomes. Reference to where other details of the statistical analysis plan can be found, if not in the protocol
20b Methods for any additional analyses (eg, subgroup and adjusted analyses)
20c Definition of analysis population relating to protocol non-adherence (eg, as randomised analysis), and any statistical methods to handle missing data (eg, multiple imputation)
Methods: Monitoring
Data monitoring 21a Composition of data monitoring committee (DMC); summary of its role and reporting structure; statement of whether it is independent from the sponsor and competing interests; and reference to where further details about its charter can be found, if not in the protocol. Alternatively, an explanation of why a DMC is not needed
Pages 7, 9 and Figure 1
Page 12.
Page 12/13
Not applicable
Page 14
Page 18 and Supplementary Table 1
Page 18
Page 14
Pages 18 and 19
Page 19
Page 19
Page 16
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21b Description of any interim analyses and stopping guidelines, including who will have access to these interim results and make the final decision to terminate the trial
Harms 22 Plans for collecting, assessing, reporting, and managing solicited and spontaneously reported adverse events and other unintended effects of trial interventions or trial conduct
Auditing 23 Frequency and procedures for auditing trial conduct, if any, and whether the process will be independent from investigators and the sponsor
Ethics and dissemination
Research ethics approval
24 Plans for seeking research ethics committee/institutional review board (REC/IRB) approval
Protocol amendments
25 Plans for communicating important protocol modifications (eg, changes to eligibility criteria, outcomes, analyses) to relevant parties (eg, investigators, REC/IRBs, trial participants, trial registries, journals, regulators)
Consent or assent 26a Who will obtain informed consent or assent from potential trial participants or authorised surrogates, and how (see Item 32)
26b Additional consent provisions for collection and use of participant data and biological specimens in ancillary studies, if applicable
Confidentiality 27 How personal information about potential and enrolled participants will be collected, shared, and maintained in order to protect confidentiality before, during, and after the trial
Declaration of interests
28 Financial and other competing interests for principal investigators for the overall trial and each study site
Access to data 29 Statement of who will have access to the final trial dataset, and disclosure of contractual agreements that limit such access for investigators
Ancillary and post-trial care
30 Provisions, if any, for ancillary and post-trial care, and for compensation to those who suffer harm from trial participation
Dissemination policy
31a Plans for investigators and sponsor to communicate trial results to participants, healthcare professionals, the public, and other relevant groups (eg, via publication, reporting in results databases, or other data sharing arrangements), including any publication restrictions
31b Authorship eligibility guidelines and any intended use of professional writers
31c Plans, if any, for granting public access to the full protocol, participant-level dataset, and statistical code
Not applicable
Not applicable
Not applicable
Page 19
Not applicable
Page 19
Not applicable
Page 19 and 20
Pages 22 and 23
Page 18
Not applicable
Pages 19 and 20
Page 20
Not applicable
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Appendices
Informed consent materials
32 Model consent form and other related documentation given to participants and authorised surrogates
Biological specimens
33 Plans for collection, laboratory evaluation, and storage of biological specimens for genetic or molecular analysis in the current trial and for future use in ancillary studies, if applicable
*It is strongly recommended that this checklist be read in conjunction with the SPIRIT 2013Explanation & Elaboration for important clarification on the items. Amendments to the protocol should be tracked and dated. The SPIRIT checklist is copyrighted by the SPIRIT Group under the Creative Commons “Attribution-NonCommercial-NoDerivs 3.0 Unported” license.
In protocol document
Not applicable
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