Determining policy-relevant formats for the presentation of falls research evidence

Caroline F. Finch, Lesley Day, Alex Donaldson, Leonie Segal, James E. Harrison

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    Objectives: Population modelling holds considerable promise for identifying the most efficient and cost-effective falls prevention measures, but the outcomes need to be in a readily useable form. This paper describes an iterative, collaborative process undertaken by researchers and falls prevention policy officers to develop such a format for falls prevention intervention evidence. Methods: The researchers developed a draft template that underwent several iterations and improvements, through three collaborative consultations with policy officers. Results: Although the researchers initially identified many key information needs, active engagement with policy officers ensured that policy requirements were met and that the value of the reporting formats for policy decision-making was maximised. Importantly, they highlighted the need to articulate underlying modelling assumptions clearly. The resulting formats, with complete data, were given to policy officers to inform their local jurisdictional policy decisions. Conclusions: There is strong benefit in researchers and policy officers collaborating to develop optimal formats for presenting scientific evidence to inform policy decisions. Such a process can reduce concerns of researchers that evidence is not incorporated into policy decisions. They also meet policy officers' needs for evidence to be provided in a way that can directly inform their decision-making processes.

    LanguageEnglish
    Pages207-213
    Number of pages7
    JournalHealth Policy
    Volume93
    Issue number2-3
    DOIs
    Publication statusPublished - 1 Dec 2009

    Keywords

    • Falls prevention
    • Policy decision-making
    • Public health policy
    • Translation of evidence

    ASJC Scopus subject areas

    • Health Policy

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