Data Management Needs Assessment
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Transcript of Data Management Needs Assessment
Data Management Needs Assessment
Data ManagementNeeds Assessment
Uganda Ministry of Health
June 8th, 2007
Data Management Needs Assessment
Overview• Introduce Blum Fellows• Goals & Objectives• Background – technology & past efforts• Methods• Findings• Pilot Possibilities• Feedback, Discussion, and Questions
Data Management Needs Assessment
Team Introduction
Shaffeque Abas: Bachelors, Computer Science, Mbarara University
Melissa Ho: Ph.D., Information; MSc CS
Simon Morfit: Ph.D., Sociology; MPH
Mallory Primm: BA, Human Rights
Katrina Robinson: Masters, Social Welfare
Admas Zewdie: Masters, Business Administration
Data Management Needs Assessment
Guidance• Uganda
– Ananias Tumukunde, Presidential Private Secretary for Science & Technology – State House
– Harriet Mukunguzi, Executive Director Science and Technology Enterprise Development Organization
– Richard Tushemereirwe, Assistant to the Presidential Private Secretary for Science & Technology-State House
• UC Berkeley– Kristiana Raube, Haas School of Business– Sandra Dratler, School of Public Health– George Scharffenberger, Executive Director Blum
Center for Developing Economies
Data Management Needs Assessment
Original Objectives
• Assess the need for and feasibility of health data collection using smart phones – improve the timeliness of regional and
national data collection – save health worker time by performing
verification automatically– provide accurate and timely data for clinical
care and policy decision making
Data Management Needs Assessment
Revised Project Goals• Identify technological needs
– Data collection and reporting– Data analysis and decision making – Communication
• Evaluate feasibility of currently available technologies
• Determine key stakeholders• Inform future pilot projects
Data Management Needs Assessment
MOHMakerere U
UHIN(Kampala)
Health Centers(Rakai District)
Mbarara U(Mbarara District)
Health Centers(Nakaseke District)
Project Timeline
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Methods
Interviews Observation
MOH X
Universities X
UHIN Offices X X
Health Centers
X X
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Interviews CompletedLocation Hospital HC IV HC III HC II Total
MOH 6
UHIN 4
JCRC 1
Universities
Makerere University 6
Institute Of Public Health 2
Mbarara University 5
Health Centers
Rakai District 2 4 3 2 11
Nakaseke District 3 3 5 6 17
Total 52
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Interview Content
• Current data collection, management and analysis procedures
• Strengths and weaknesses• Opportunities for
improvement• Existing technology
infrastructure
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Findings - MOH
• Substantial compliance with HMIS
• Concerns of data quality
• Full capacity of electronic format not yet realized
• Labor intensive data entry
• Problem of migration of trained personnel from the rural to urban areas
Data Management Needs Assessment
Findings - Universities• Desire to collaborate with MOH
– Exchange data– Share ICT knowledge
• Mbarara University– Emphasis on rural needs and research– Research on solar energy technology
• Makerere University– Computer science expertise– Distance learning capacity
Data Management Needs Assessment
Findings – Rakai District HCs• Data captured on paper and PDA• PDAs:
– Used to complete and transmit HMIS forms– Used to receive information– Open to local innovation
• Challenges:– Power shortage– Limited points of connectivity to relay data
• Previous computer knowledge not required• Commendable training program• UHIN willingness to collaborate
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Findings – Nakaseke HCs - 1• HMIS reports
– Weekly: often submitted via text message– Monthly: delivered in person– Data flow is unclear between HCs– Compiling reports is a time consuming and error
prone process
• Ascertaining patient medical histories can be difficult
• Little feedback from referrals and data submissions
Data Management Needs Assessment
Findings – Nakaseke HCs - 2
• Consistent network coverage, but inconsistent electricity supply
• Transportation difficulties – cost, road conditions and lack of vehicles
• Some data analysis at lower HC levels
• Lack of basic supplies
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Findings – Current mobile phone use in HCs
• Emergency reporting
• Submitting weekly HMIS forms
• Checking salary and drug order
status
• Requesting transportation
• Clinical consultations
Data Management Needs Assessment
How much can data management tools improve healthcare?
Data Management Needs Assessment
Pilot Considerations
• Hybrid solutions – different technology for different HC levels
• Universal HC access to HMIS data
• Electronic medical record
• Software for automatic data compilation and analysis
• Bidirectional data flow
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NakasekeDistrict Hospital
Semuto HCIV
HCIII HCIII
HCII HCII
Ngoma HCIV
HCIII
HCII
HCIII
HCII
smartphone
smartphone + pdas
MoH
computers + broadband
computer + smartphone
or paper
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Smart Phone
• Electronic hand-held device• Functions as a mobile phone• Provides internet access• Has built-in keyboard• Additional capabilities:
– E-mail– Word processing and spreadsheets– GPS
• Custom programs can be installed
Data Management Needs Assessment
Related Work• CAMPhone: Use of smartphones with bar-coded forms to facilitate
microfinance. Tapan Parikh, University of Washington Computer Science. (India)
• OpenMRS: Open source web-based electronic medical record software, currently developing mobile phone-based interface. (Kenya, Rwanda, South Africa)
• ReACH: Web based system supporting asynchronous remote consultation between doctors and specialists over a variety of networks. Melissa Ho, Rowena Luk, Paul Aoki, University of California, Berkeley. (Ghana)
• Smartphone and web-based patient records pilot project. Dartmouth University. (Vietnam)
• Uganda Health Information Network: Use of PDAs for dissemination of content and submission of forms. (Uganda)
• Simputer: PDA-based data collection for monitoring of TB. (India)
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Challengesto Implementing ICT
• Balancing paper vs digital data recording
• Power
• Network
• Clarity in data flow
• Current cost of ICT
• Limited computer literacy
• Privacy of health information
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Thank You!