THIRD FLARE SUMMER SCHOOL Birgit Trukeschitz 5 SEP ...era-age.group.shef.ac.uk/assets/files/SS3 04...
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THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Quality of Social Care for the Elderly:Highlights from the FLARE-Project (April 2008-March 2011)
Birgit Trukeschitz
FLARE summer school 2011San Lorenzo de El Escorial, 5th to 8th September 2010
Acknowledgement
• FLARE-Project initiated by ERA-AGE andfunded by the Austrian Federal Ministry of Science y yand Research
• Empirical research funded by the Austrian Federal Ministry of Labour, Social Security and Consumer Protection
WU Vi P f Ul ik S h id• WU Vienna: Prof. Ulrike Schneider• PSSRU-Kent: Prof. Ann Netten, Prof. Julian Forder• German Centre of Gerontology: Dr. Andreas Motel-
Klingebiel, Prof. Clemens Tesch-Römer
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
2
• Quality of Social Care for the Elderly
outline
– Research objectives
– Research results: English care homes & Austrian home care
• The mobility part of the Fellowship
• Personal experiences
• Quality of Social Care for the Elderly
outline
– Research objectives
– Research results: English care homes & Austrian home care
• The mobility part of the Fellowship
• Personal experiences
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
3
QSCE Research objectives & methods
Proposal Project
RO1: Defining quality of social care
RO2: Measuring quality of social care -conceptual approach / qualitative and secondary quantitative data
RO1: Defining quality of social care
RO2: Measuring quality of social care -• conceptual approach• qualitative data (diploma students)
and
RO3: Social care systems and effects offunding arrangements (Austria)
• primary quantitative data• English care homes and• Austrian formal and informal
home care
Measuring outcome quality ofsocial care
• Background:– Quality of outcomes in long-term care often neglected – focus on quality of
structure and quality of processes
– Outcome measures in heath care – developed and quite established– Outcome measures in long-term care – some first approaches
• Problems in measuring outcomes of social care:– Conceptual aspects:
• How much due to social care interventions?• ‘Before’ often not true baseline – not reflecting full value
– Target group:Target group:• Many service users unable to communicate• People adapt to difficult circumstances
– Resource intensive and burdensome
• Principles:– Should reflect full value of care interventions, should not be too burdensome
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Research results:
Quality of outcomes in English care homes
Mobility part 1: April 2009-September 2009
Personal Social Service Research Unit, University of Kent at Canterbury
DATA: Sample ofEnglish care homes & their residents
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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The toolkit - online
http://www.pssru.ac.uk/ascot/
Instruments & data entry tools
Guidance & FAQ & References
Feedback
Registration
Adult Social Care Outcome Toolkit (ASCOT)
• Domains of social care related quality of life– Personal cleanliness, safety, food & drink,...
• Levels of SCRQoL– No needs – ‘ideal’ and ‘mustn’t grumble’– Some needs– High needs – health implications
• Dimensions:– With and in absence of care provided
• current SCRQoL: current need states • expected SCRQoL: needs in absence of care service
– Composite measures:• CtB (= 1-expected SCRQoL)• SCRQoL gain (= current SCRQoL – expected SCRQoL)
• Preference based weighting (for England only)
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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English care homes 2009
Netten, Trukeschitz et al - submitted
Relationship between„star rating“ and outcomes
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Multivariate multilevel model
SCRQoL gain increasing
Dependent variable Predictors
46
810
Per
cent
Predictor of main interest:Star rating
Controlled for:Residents‘ characteristics
e.g. degree of dependencyFurther home characteristics
e g time in business
max. SCRQoL gain
02
0 .2 .4 .6 .8 1
Netten, Trukeschitz et al. - submitted
e.g. time in businessFieldworker effects
n=371
R2 = 0.56 (overall), 0.72 (between), 0.38(within)
English care homes: Effects of star rating on resident‘s outcome
Effects of star rating• outcomes for residents in care homes appeared to be associated with the star ratings
once residents’ personal characteristics and fieldworker effects are allowed for– once residents personal characteristics and fieldworker effects are allowed for
BUT:• Registration type of homes matters (cross-level interaction effects):
– homes registered for personal care only – yes! – Nursing homes – no! tendency for three star-rated nursing homes to produce
lower SCRQoL gain for their residents.
• The size of the observed quality signal effects were small.
Effects of other characteristics• Positive effects:
– measures of impairment, including physical limitations (count of ADL problems and self- care difficulties) and cognitive impairment.
– the older residents are the more they benefit from care home services.
Netten, Trukeschitz et al. - submitted
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Research results:
Quality of outcomes in Austrian home care
WU Vienna: November 2009 October 2010WU Vienna: November 2009-October 2010
Co-funded by the Austrian Ministry of Labour, Social Affairs and Consumer Protection
The AustrianHome Visits & Counselling Programme
(HVCP)
Long-term care allowance (since 1993)
Quality assurance programmeHVCP since 2001:
Informal carer
Graduatenurse…
LTC allowancerecipient
… assesses the care situation… offers counselling & advice
N.B.: cash benefit will be replaced by services if quality of home care is very poor.
• Random sample - voluntary participation
• 2009: >15,000 / year (~ 5% of LTC benef. in priv. HH)
• Quality of outcomes, processes and structure
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Since August 2011 –new tool for the HVCP
• WU Research Institute for Economics of Aging commissioned bythe Austrian Ministry of Labour, Social Affairs and Consumerthe Austrian Ministry of Labour, Social Affairs and Consumer Protection
• New tool‘s outcome measurement based on ASCOT– Adaption of the domains
D l t f f i t l t– Development of reference cenarios to evaluateoutcomes of home care
– Scale: traffic light system
A+ A B C
Examples
Mrs. Smith: some dependencies Mr. Miller: highly dependent
Personal Cleanliness and Comfort
Medical Care
Food and NutritionAccommodation
Occupation and Social Participation
A+
A
B
C
Personal Cleanliness and Comfort
Medical Care
A d i
Occupation and Social Participation
A+
A
B
C
Food and Nutrition
Accommodation Cleanliness and
Comfort
Functionality
Current SCRQoL Expected SCRQoL
Food and Nutritio
Accommodation Cleanliness and Comfort
Accommodation Functionality
Current SCRQoL Expected SCRQoL
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Data structure of the pilot
• Data structure:
N1 N2 N39Graduate Nurses
R11LTC AllowanceRecipients R12
R13R1a
R21
R22
R23R2b
R391
R392
R393 R39z
… n2 = 39
n1 = 975p 12 1a 22 2b R392
May to July 2010
Manual v2.0
Outcome quality in Austrian home care
Vienna, 2011
Data will be available in 2013
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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Next steps
• Data on quality of home care ready foranalyses in 2013analyses in 2013
• Quality of care / outcomemeasurement of day care centres in Vienna (qualitative approach)
• Quality of care / outcomemeasurement of home care in Vienna ( i i d i f i )(questionnaire design for supervisors)
• Research funding for preferenceweights in Austria?
• Quality of Social Care for the Elderly
outline
– Research aims
– Research results
• The mobility part of the Fellowship
• Personal experiences
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
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QSCE – mobility parts
March2011April 2009 April 2010Sept 2009 June 2010April 2008 March2011April 2009 April 2010Sept. 2009 June 2010
WU Vienna WU Vienna WU Vienna
PSSRU, Univ. of Kent(6 months)
German Centre of
Gerontology, Berlin(6 months) Berlin
(3 months)
Operational arrangements & others
• Contact host institution well in advance and arrange potential collaboration beforehand
• Get involved in ongoing projects or involve them in your project, at least match interests
• Arranging the trip takes time!– Affordable accommodation
• Settling in takes time!– Bank accountBank account
• You might spend more time on your own than you are used to...… try something new & enjoy being away from home
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
13
• Quality of Social Care for the Elderly
outline
– Research objectives
– Research results: English care homes & Austrian home care
• The mobility part of the Fellowship
• Personal experiences
• 3 years research – no teaching
My experiences - summary
3 years research no teaching• Mobility parts!• get involved• Flexibility• Stay in contact (joined presentations,
symposia, guest lectures, papers,…)• Contracts• Combine funds (to build a team)
THIRD FLARE SUMMER SCHOOL5 SEP. – 8 SEP. 2011SAN LAURENZO DE EL ESCORIAL, SPAIN
Birgit TrukeschitzResearch Institute for Economics of Aging
Vienna University of Economics and Business
14
Contact:[email protected]
FLARE 1 Fellow (April 2008 - March 2011)
Research Institute for Economics of Agingg gWU Vienna University of Economics and Business
Nordbergstrasse 15 / 1090 Wien / Austria
http://www.wu.ac.at/altersoekonomie/english