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      A narrative review of research impact assessment models and methods

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          Abstract

          Background

          Research funding agencies continue to grapple with assessing research impact. Theoretical frameworks are useful tools for describing and understanding research impact. The purpose of this narrative literature review was to synthesize evidence that describes processes and conceptual models for assessing policy and practice impacts of public health research.

          Methods

          The review involved keyword searches of electronic databases, including MEDLINE, CINAHL, PsycINFO, EBM Reviews, and Google Scholar in July/August 2013. Review search terms included ‘research impact’, ‘policy and practice’, ‘intervention research’, ‘translational research’, ‘health promotion’, and ‘public health’. The review included theoretical and opinion pieces, case studies, descriptive studies, frameworks and systematic reviews describing processes, and conceptual models for assessing research impact. The review was conducted in two phases: initially, abstracts were retrieved and assessed against the review criteria followed by the retrieval and assessment of full papers against review criteria.

          Results

          Thirty one primary studies and one systematic review met the review criteria, with 88% of studies published since 2006. Studies comprised assessments of the impacts of a wide range of health-related research, including basic and biomedical research, clinical trials, health service research, as well as public health research. Six studies had an explicit focus on assessing impacts of health promotion or public health research and one had a specific focus on intervention research impact assessment. A total of 16 different impact assessment models were identified, with the ‘payback model’ the most frequently used conceptual framework. Typically, impacts were assessed across multiple dimensions using mixed methodologies, including publication and citation analysis, interviews with principal investigators, peer assessment, case studies, and document analysis. The vast majority of studies relied on principal investigator interviews and/or peer review to assess impacts, instead of interviewing policymakers and end-users of research.

          Conclusions

          Research impact assessment is a new field of scientific endeavour and there are a growing number of conceptual frameworks applied to assess the impacts of research.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12961-015-0003-1) contains supplementary material, which is available to authorized users.

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          Most cited references49

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          Climbing the Ladder of Research Utilization: Evidence from Social Science Research

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            Measuring the impact of health research.

            Measuring the decision-making impact of applied health research should constitute a core function for many research funders and research organizations. Different target audiences warrant different measures of impact. The target audiences for applied health research include the general public, patients (and their families), clinicians, managers (in hospitals, regional health authorities and health plans), research and development officers (in biotechnology firms) and public policy-makers (i.e. elected officials, political staff and civil servants). Making meaningful assessments within peer groups that fund or produce similar types of research knowledge for similar types of target audiences makes more sense than a one-size-fits-all approach to impact assessment. User-pull and interactive measures of impact (i.e. measures of cultural shifts that would facilitate the on-going use of research knowledge to inform decision-making) can supplement more traditional producer-push measures that assess researchers' active efforts to inform decision-making and the outcome of these efforts. Cultural shifts may include the creation of a research-attuned culture among decision-makers and a decision-relevant culture among researchers. Moving beyond whether research was used to examine how it was used is also important. Research knowledge may be used in instrumental, conceptual or symbolic ways. These actions, coupled with on-going refinements to the proposed assessment tool as research evidence evolves, would take us a long way towards assessment and accountability in the health sector.
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              How can payback from health services research be assessed?

              Throughout the world there is a growing recognition that health care should be research-led. This strengthens the requirement for expenditure on health services research to be justified by demonstrating the benefits it produces. However, payback from health research and development is a complex concept and little used term. Five main categories of payback can be identified: knowledge; research benefits; political and administrative benefits; health sector benefits; and broader economic benefits. Various models of research utilization together with previous assessments of payback from research helped in the development of a new conceptual model of how and where payback may occur. The model combines an input-output perspective with an examination of the permeable interfaces between research and its environment. The model characterizes research projects in terms of Inputs, Processes, and Primary Outputs. The last consist of knowledge and research benefits. There are two interfaces between the project and its environment. The first (Project Specification, Selection and Commissioning) is the link with Research Needs Assessment. The second (Dissemination) should lead to Secondary Outputs (which are policy or administrative decisions), and usually Applications (which take the form of behavioural changes), from which Impacts or Final Outcomes result. It is at this final stage that health and wider economic benefits can be measured. A series of case studies were used to assess the feasibility both of applying the model and the payback categorization. The paper draws various conclusions from the case studies and identifies a range of issues for further work.
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                Author and article information

                Contributors
                andrew.milat@doh.health.nsw.gov.au
                adrian.bauman@sydney.edu.au
                sally.redman@saxinstitute.org.au
                Journal
                Health Res Policy Syst
                Health Res Policy Syst
                Health Research Policy and Systems
                BioMed Central (London )
                1478-4505
                18 March 2015
                18 March 2015
                2015
                : 13
                : 18
                Affiliations
                [ ]New South Wales Ministry of Health, 73 Miller St North, Sydney, NSW 2060 Australia
                [ ]School of Public Health, University of Sydney, Level 2, Medical Foundation, Building, K25, Sydney, NSW 2006 Australia
                [ ]Sax Institute, Sydney, Level 2, 10 Quay, St Haymarket, NSW 2000 Australia
                Article
                3
                10.1186/s12961-015-0003-1
                4377031
                25784194
                5373df6a-10dd-42f4-aced-61e49939ac69
                © Milat et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 7 November 2014
                : 16 February 2015
                Categories
                Review
                Custom metadata
                © The Author(s) 2015

                Health & Social care
                policy and practice impact,research impact,research returns
                Health & Social care
                policy and practice impact, research impact, research returns

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