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      Development of measurable indicators to enhance public health evidence-informed policy-making

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          Abstract

          Background

          Ensuring health policies are informed by evidence still remains a challenge despite efforts devoted to this aim. Several tools and approaches aimed at fostering evidence-informed policy-making (EIPM) have been developed, yet there is a lack of availability of indicators specifically devoted to assess and support EIPM. The present study aims to overcome this by building a set of measurable indicators for EIPM intended to infer if and to what extent health-related policies are, or are expected to be, evidence-informed for the purposes of policy planning as well as formative and summative evaluations.

          Methods

          The indicators for EIPM were developed and validated at international level by means of a two-round internet-based Delphi study conducted within the European project ‘REsearch into POlicy to enhance Physical Activity’ (REPOPA). A total of 82 researchers and policy-makers from the six European countries (Denmark, Finland, Italy, the Netherlands, Romania, the United Kingdom) involved in the project and international organisations were asked to evaluate the relevance and feasibility of an initial set of 23 indicators developed by REPOPA researchers on the basis of literature and knowledge gathered from the previous phases of the project, and to propose new indicators.

          Results

          The first Delphi round led to the validation of 14 initial indicators and to the development of 8 additional indicators based on panellists’ suggestions; the second round led to the validation of a further 11 indicators, including 6 proposed by panellists, and to the rejection of 6 indicators. A total of 25 indicators were validated, covering EIPM issues related to human resources, documentation, participation and monitoring, and stressing different levels of knowledge exchange and involvement of researchers and other stakeholders in policy development and evaluation.

          Conclusion

          The study overcame the lack of availability of indicators to assess if and to what extent policies are realised in an evidence-informed manner thanks to the active contribution of researchers and policy-makers. These indicators are intended to become a shared resource usable by policy-makers, researchers and other stakeholders, with a crucial impact on fostering the development of policies informed by evidence.

          Electronic supplementary material

          The online version of this article (10.1186/s12961-018-0323-z) contains supplementary material, which is available to authorized users.

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          Most cited references33

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          The Many Meanings of Research Utilization

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            How Can Research Organizations More Effectively Transfer Research Knowledge to Decision Makers?

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              The utilisation of health research in policy-making: concepts, examples and methods of assessment

              The importance of health research utilisation in policy-making, and of understanding the mechanisms involved, is increasingly recognised. Recent reports calling for more resources to improve health in developing countries, and global pressures for accountability, draw greater attention to research-informed policy-making. Key utilisation issues have been described for at least twenty years, but the growing focus on health research systems creates additional dimensions. The utilisation of health research in policy-making should contribute to policies that may eventually lead to desired outcomes, including health gains. In this article, exploration of these issues is combined with a review of various forms of policy-making. When this is linked to analysis of different types of health research, it assists in building a comprehensive account of the diverse meanings of research utilisation. Previous studies report methods and conceptual frameworks that have been applied, if with varying degrees of success, to record utilisation in policy-making. These studies reveal various examples of research impact within a general picture of underutilisation. Factors potentially enhancing utilisation can be identified by exploration of: priority setting; activities of the health research system at the interface between research and policy-making; and the role of the recipients, or 'receptors', of health research. An interfaces and receptors model provides a framework for analysis. Recommendations about possible methods for assessing health research utilisation follow identification of the purposes of such assessments. Our conclusion is that research utilisation can be better understood, and enhanced, by developing assessment methods informed by conceptual analysis and review of previous studies.
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                Author and article information

                Contributors
                valentina.tudisca@irpps.cnr.it
                adriana.valente@cnr.it
                t.castellani@irpps.cnr.it
                timo.stahl@thl.fi
                petru.sandu@publichealth.ro
                diana.dulf@publichealth.ro
                h.p.e.m.spitters@uvt.nl
                l.vandegoor@uvt.nl
                crk@rsyd.dk
                ahmed.sy3d@gmail.com
                nloncarevic@health.sdu.dk
                cathrine.juel.lau@regionh.dk
                Susan.Roelofs@uottawa.ca
                mbertram@health.sdu.dk
                nancy.edwards@uottawa.ca
                araro@health.sdu.dk
                Journal
                Health Res Policy Syst
                Health Res Policy Syst
                Health Research Policy and Systems
                BioMed Central (London )
                1478-4505
                31 May 2018
                31 May 2018
                2018
                : 16
                : 47
                Affiliations
                [1 ]ISNI 0000 0001 1940 4177, GRID grid.5326.2, The National Research Council of Italy (CNR), ; Rome, Italy
                [2 ]ISNI 0000 0001 1013 0499, GRID grid.14758.3f, The National Institute for Health and Welfare (THL), ; Tampere, Finland
                [3 ]ISNI 0000 0004 1937 1397, GRID grid.7399.4, Babeș-Bolyai University (BBU), ; Cluj-Napoca, Romania
                [4 ]ISNI 0000 0001 0943 3265, GRID grid.12295.3d, Tranzo, Tilburg University, ; Tilburg, The Netherlands
                [5 ]ISNI 0000 0001 0728 0170, GRID grid.10825.3e, Unit for Health Promotion Research, , University of Southern Denmark (SDU), ; Odense, Denmark
                [6 ]Primary Health Care Corporation, Doha, Qatar
                [7 ]ISNI 0000 0000 9350 8874, GRID grid.411702.1, Center for Clinical Research and Disease Prevention, previously called Research Centre for Prevention and Health (RCPH), Bispebjerg and Frederiksberg Hospital, The Capital Region, ; Copenhagen, Denmark
                [8 ]ISNI 0000 0001 2182 2255, GRID grid.28046.38, Ottawa University (uOttawa), ; Ottawa, ON Canada
                Author information
                http://orcid.org/0000-0003-2795-5686
                Article
                323
                10.1186/s12961-018-0323-z
                5984390
                29855328
                1feeab4f-3d4b-4e15-ad0d-0fe2f3fd073d
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 October 2017
                : 4 May 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004963, Seventh Framework Programme;
                Award ID: grant agreement 281532
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                evidence-informed policy-making,indicators,physical activity,delphi methodology,co-production of knowledge,public health

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