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The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK

Author

Listed:
  • James Steele

    (Ukactive Research Institute, Ukactive, London WC1A 2SL, UK
    Faculty of Sport, Health, and Social Sciences, Solent University, Southampton SO14 0YN, UK)

  • Matthew Wade

    (Ukactive Research Institute, Ukactive, London WC1A 2SL, UK)

  • Robert J. Copeland

    (The Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield S9 3TU, UK
    The National Centre for Sport and Exercise Medicine, Sheffield S9 3TY, UK)

  • Stuart Stokes

    (ReferAll Ltd., Worthing BN11 1LY, UK)

  • Rachel Stokes

    (ReferAll Ltd., Worthing BN11 1LY, UK)

  • Steven Mann

    (4Global Consulting Ltd., London W4 5YG, UK)

Abstract

In 2014, The National Institute for Health and Care Excellence (NICE) called for the development of a system to collate local data on exercise referral schemes (ERS). This database would be used to facilitate continued evaluation of ERS. The use of health databases can spur scientific investigation and the generation of evidence regarding healthcare practice. NICE’s recommendation has not yet been met by public health bodies. Through collaboration between ukactive, ReferAll, a specialist in software solutions for exercise referral, and the National Centre for Sport and Exercise Medicine, which has its research hub at the Advanced Wellbeing Research Centre, in Sheffield, data has been collated from multiple UK-based ERS to generate one of the largest databases of its kind. This database moves the research community towards meeting NICEs recommendation. This paper describes the formation and open sharing of The National ReferAll Database, data-cleaning processes, and its structure, including outcome measures. Collating data from 123 ERSs on 39,283 individuals, a database has been created containing both scheme and referral level characteristics in addition to outcome measures over time. The National ReferAll Database is openly available for researchers to interrogate. The National ReferAll Database represents a potentially valuable resource for the wider research community, as well as policy makers and practitioners in this area, which will facilitate a better understanding of ERS and other physical-activity-related social prescribing pathways to help inform public health policy and practice.

Suggested Citation

  • James Steele & Matthew Wade & Robert J. Copeland & Stuart Stokes & Rachel Stokes & Steven Mann, 2021. "The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4831-:d:547325
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    References listed on IDEAS

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    1. Luc Rocher & Julien M. Hendrickx & Yves-Alexandre de Montjoye, 2019. "Estimating the success of re-identifications in incomplete datasets using generative models," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Jan Van den Broeck & Solveig Argeseanu Cunningham & Roger Eeckels & Kobus Herbst, 2005. "Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities," PLOS Medicine, Public Library of Science, vol. 2(10), pages 1-1, September.
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