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The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK
James Steele1,2, Matthew Wade1, Robert J Copeland3,4
1Ukactive Research Institute, Ukactive, London WC1A 2SL, UK.
Summary
A new National ReferAll Database combines data from 123 UK exercise referral schemes (ERS). This resource supports research and policy for physical activity and social prescribing.
Area of Science:
- Public Health
- Health Informatics
- Exercise Science
Background:
- The National Institute for Health and Care Excellence (NICE) recommended a system for collating local data on exercise referral schemes (ERS) in 2014.
- Public health bodies have not yet met this recommendation, hindering the evaluation of ERS effectiveness.
- Health databases are crucial for scientific investigation and evidence generation in healthcare.
Purpose of the Study:
- To describe the formation and open sharing of The National ReferAll Database.
- To detail the data-cleaning processes and database structure, including outcome measures.
- To provide a valuable resource for researchers, policymakers, and practitioners to understand ERS and social prescribing.
Main Methods:
- Collaboration between ukactive, ReferAll, and the National Centre for Sport and Exercise Medicine.
- Data collation from multiple UK-based ERS.
- Data cleaning and structuring, including outcome measures over time.
Main Results:
- Creation of one of the largest databases of its kind, comprising data from 123 ERS and 39,283 individuals.
- The database includes scheme and referral level characteristics, alongside outcome measures.
- The National ReferAll Database is now openly available for research interrogation.
Conclusions:
- The National ReferAll Database addresses NICE's recommendation for collating ERS data.
- This database serves as a significant resource to advance understanding of ERS and physical-activity-related social prescribing.
- Findings will inform public health policy and practice, promoting evidence-based interventions.
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