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Improving community support for older people's needs through commissioning third sector services: a qualitative study
Neil Chadborn1, Chris Craig2, Gina Sands3
11 Research Fellow, NIHR Collaboration for Leadership in Applied Health Research and Care East Midlands, Division of Rehabilitation and Ageing, School of Medicine, University of Nottingham, UK.
Commissioners in England often involve third sector organizations in service delivery for older adults. However, they rarely use service data to inform future commissioning decisions, hindering service improvement.
Area of Science:
- Public Health
- Health Services Research
- Social Care Policy
Background:
- Third sector organizations provide vital services for older people's wellbeing and independence.
- State funding (commissioning) of third sector health services in the UK is under-researched.
- These organizations can reach vulnerable populations and offer valuable community intelligence.
Purpose of the Study:
- To explore the feedback of service data from third sector providers to commissioners.
- To determine if this data could enhance population intelligence and inform future commissioning decisions for older people's services.
Main Methods:
- Exploratory study involving semi-structured interviews with commissioners and third sector providers.
- Focus groups conducted with older people who could benefit from wellbeing services.
- Recruitment from five purposively selected sites in the East Midlands, England.
Main Results:
- Commissioning arrangements were diverse, often complex, and frequently involved co-production.
- Commissioners valued third sector organizations for community engagement and outreach but did not fully utilize reported service/outcome data.
- Challenges included complex assessment tools and a lack of data analysis within contract arrangements.
Conclusions:
- Diverse commissioning models exist for third sector services for older people.
- While data is reported, commissioners do not consistently use it to inform future commissioning, suggesting a need for improved outcome measurement and data utilization.
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