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      Evidence-based policymaking is not like evidence-based medicine, so how far should you go to bridge the divide between evidence and policy?

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          Abstract

          There is extensive health and public health literature on the ‘evidence-policy gap’, exploring the frustrating experiences of scientists trying to secure a response to the problems and solutions they raise and identifying the need for better evidence to reduce policymaker uncertainty. We offer a new perspective by using policy theory to propose research with greater impact, identifying the need to use persuasion to reduce ambiguity, and to adapt to multi-level policymaking systems.

          We identify insights from secondary data, namely systematic reviews, critical analysis and policy theories relevant to evidence-based policymaking. The studies are drawn primarily from countries such as the United States, United Kingdom, Canada, Australia and New Zealand. We combine empirical and normative elements to identify the ways in which scientists can, do and could influence policy.

          We identify two important dilemmas, for scientists and researchers, that arise from our initial advice. First, effective actors combine evidence with manipulative emotional appeals to influence the policy agenda – should scientists do the same, or would the reputational costs outweigh the policy benefits? Second, when adapting to multi-level policymaking, should scientists prioritise ‘evidence-based’ policymaking above other factors? The latter includes governance principles such the ‘co-production’ of policy between local public bodies, interest groups and service users. This process may be based primarily on values and involve actors with no commitment to a hierarchy of evidence.

          We conclude that successful engagement in ‘evidence-based policymaking’ requires pragmatism, combining scientific evidence with governance principles, and persuasion to translate complex evidence into simple stories. To maximise the use of scientific evidence in health and public health policy, researchers should recognise the tendency of policymakers to base judgements on their beliefs, and shortcuts based on their emotions and familiarity with information; learn ‘where the action is’, and be prepared to engage in long-term strategies to be able to influence policy; and, in both cases, decide how far you are willing to go to persuade policymakers to act and secure a hierarchy of evidence underpinning policy. These are value-driven and political, not just ‘evidence-based’, choices.

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          Most cited references112

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          Evidence based medicine: what it is and what it isn't

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            The answer is 17 years, what is the question: understanding time lags in translational research

            This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.
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              The emotional dog and its rational tail: A social intuitionist approach to moral judgment.

              Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done by individuals and emphasizes instead the importance of social and cultural influences. The model is an intuitionist model in that it states that moral judgment is generally the result of quick, automatic evaluations (intuitions). The model is more consistent that rationalist models with recent findings in social, cultural, evolutionary, and biological psychology, as well as in anthropology and primatology.
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                Author and article information

                Contributors
                p.a.cairney@stir.ac.uk
                kathryn.oliver@spi.ox.ac.uk
                Journal
                Health Res Policy Syst
                Health Res Policy Syst
                Health Research Policy and Systems
                BioMed Central (London )
                1478-4505
                26 April 2017
                26 April 2017
                2017
                : 15
                : 35
                Affiliations
                [1 ]ISNI 0000 0001 2248 4331, GRID grid.11918.30, , Politics and Public Policy at the University of Stirling, ; Stirling, United Kingdom
                [2 ]ISNI 0000 0001 2248 4331, GRID grid.11918.30, Division of History and Politics, , University of Stirling, ; Stirling, FK9 4LA United Kingdom
                [3 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Departmental Lecturer in Evidence-Based Social Intervention and Policy Evaluation, , Oxford University, ; Oxford, United Kingdom
                [4 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Department of Social Policy and Intervention, , University of Oxford, ; Oxford, United Kingdom
                Author information
                http://orcid.org/0000-0002-9956-832X
                Article
                192
                10.1186/s12961-017-0192-x
                5407004
                28446185
                bb39f330-3987-43aa-ba50-1c754e087336
                © The Author(s). 2017

                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
                : 9 December 2016
                : 12 March 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/L003325/1
                Categories
                Opinion
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                evidence-based medicine,evidence-based policymaking,implementation science,improvement science,storytelling,policy ambiguity,complex government,united kingdom government,scottish government

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