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The SPIRIT Action Framework: A structured approach to selecting and testing strategies to increase the use of research in policy

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  • Redman, Sally
  • Turner, Tari
  • Davies, Huw
  • Williamson, Anna
  • Haynes, Abby
  • Brennan, Sue
  • Milat, Andrew
  • O'Connor, Denise
  • Blyth, Fiona
  • Jorm, Louisa
  • Green, Sally

Abstract

The recent proliferation of strategies designed to increase the use of research in health policy (knowledge exchange) demands better application of contemporary conceptual understandings of how research shapes policy. Predictive models, or action frameworks, are needed to organise existing knowledge and enable a more systematic approach to the selection and testing of intervention strategies. Useful action frameworks need to meet four criteria: have a clearly articulated purpose; be informed by existing knowledge; provide an organising structure to build new knowledge; and be capable of guiding the development and testing of interventions. This paper describes the development of the SPIRIT Action Framework. A literature search and interviews with policy makers identified modifiable factors likely to influence the use of research in policy. An iterative process was used to combine these factors into a pragmatic tool which meets the four criteria. The SPIRIT Action Framework can guide conceptually-informed practical decisions in the selection and testing of interventions to increase the use of research in policy.

Suggested Citation

  • Redman, Sally & Turner, Tari & Davies, Huw & Williamson, Anna & Haynes, Abby & Brennan, Sue & Milat, Andrew & O'Connor, Denise & Blyth, Fiona & Jorm, Louisa & Green, Sally, 2015. "The SPIRIT Action Framework: A structured approach to selecting and testing strategies to increase the use of research in policy," Social Science & Medicine, Elsevier, vol. 136, pages 147-155.
    • Handle: RePEc:eee:socmed:v:136-137:y:2015:i::p:147-155
    DOI: 10.1016/j.socscimed.2015.05.009
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    References listed on IDEAS

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    1. Glasgow, R.E. & Vogt, T.M. & Boles, S.M., 1999. "Evaluating the public health impact of health promotion interventions: The RE-AIM framework," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1322-1327.
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    4. Marsha Gold, "undated". "Pathways to the Use of Health Services Research in Policy," Mathematica Policy Research Reports 7cb201fc1afe4ec9b2c1e7384, Mathematica Policy Research.
    5. Dobrow, Mark J. & Goel, Vivek & Upshur, R. E. G., 2004. "Evidence-based health policy: context and utilisation," Social Science & Medicine, Elsevier, vol. 58(1), pages 207-217, January.
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    1. Harriet Koorts & Adrian Bauman & Nancy Edwards & William Bellew & Wendy J. Brown & Mitch J. Duncan & David R. Lubans & Andrew J. Milat & Philip J. Morgan & Nicole Nathan & Andrew Searles & Karen Lee &, 2022. "Tensions and Paradoxes of Scaling Up: A Critical Reflection on Physical Activity Promotion," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    2. Pauline Zardo & Adrian G Barnett & Nicolas Suzor & Tim Cahill, 2018. "Does engagement predict research use? An analysis of The Conversation Annual Survey 2016," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    3. Jennifer Petkovic & Vivian Welch & Peter Tugwell, 2017. "PROTOCOL: Do evidence summaries increase health policy‐makers’ use of evidence from systematic reviews? A systematic review protocol," Campbell Systematic Reviews, John Wiley & Sons, vol. 13(1), pages 1-18.
    4. Natasa Loncarevic & Pernille Tanggaard Andersen & Anja Leppin & Maja Bertram, 2021. "Policymakers’ Research Capacities, Engagement, and Use of Research in Public Health Policymaking," IJERPH, MDPI, vol. 18(21), pages 1-17, October.

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