Skip to main content
Public Health Reports logoLink to Public Health Reports
. 2022 Oct 14;138(5):715–720. doi: 10.1177/00333549221129355

Six Public Policy Recommendations to Increase the Translation and Utilization of Research Evidence in Public Health Practice

Bojana Klepac 1, Michelle Krahe 2, Ramon Spaaij 3,4, Melinda Craike 1,3,
PMCID: PMC10467493  PMID: 36239490

Widespread adoption of evidence-informed public health is vital to improving population health.1-3 However, the inconsistent use of research evidence in public health practice is a challenge.3-5 Despite strong advocacy for evidence-informed public health, public health practice is often not based on the best available research evidence.6,7 In this commentary, we focus on how public policy can support the translation and utilization of research evidence in public health practice.

Evidence-informed public health requires the effective translation and utilization of research evidence in practice. Several interrelated barriers hinder research evidence translation and utilization in practice, including insufficient capacity among public health practitioners, decision makers, and organizations to integrate research evidence into practice; research evidence that does not address the needs of practitioners and decision makers; and research findings that are not communicated or disseminated in ways that reach decision makers and practitioners.8-14 While we acknowledge that each barrier needs to be addressed to improve research evidence translation and utilization in practice, in this commentary we focus on barriers in the production, communication, and dissemination of research. We highlight these barriers because we have experienced them as researchers who seek to translate our research into practice.

Public policy can help to address barriers by creating enabling environments for research evidence translation and utilization. Public policy influences research priority areas, the research produced, and the way it is communicated and disseminated.15-18 Researchers respond to indicators from research funding bodies (who, in public health, are often governments) about what is (and what is not) expected to be funded.17,18 Despite the influence of public policy on the translation of research evidence, few attempts have been made to propose public policy recommendations to support research evidence translation and utilization in practice. Rather, to date, the literature has mainly focused on what individual researchers and research institutions should be doing to increase the likelihood of research evidence influencing practice. Consequently, policy makers lack guidance about which public policy initiatives are likely to increase research evidence translation and utilization.

To assist public health policy makers, we present 6 actionable public policy recommendations that address 2 barriers to research evidence translation and utilization in practice: (1) research evidence that does not address the needs of practitioners and decision makers and (2) research findings that are not communicated and/or disseminated in ways that reach practitioners and decision makers. We contend that, if actioned, these public policy recommendations would support researchers to produce actionable evidence and communicate and widely disseminate their findings in accessible formats. These recommendations are based on our experience as researchers and supported by literature from knowledge translation and related areas.

  • Recommendation 1: Public policy funding priority areas should promote collaborative research across disciplinary and organizational boundaries so that research addresses the needs of practitioners and decision makers.

Promoting collaborative research across disciplinary and organizational boundaries 6 has been proposed as one way to improve the relevance and applicability of research findings so that they address the needs of practitioners and decision makers.3,19,20 Transdisciplinary research is one type of collaborative research that involves researchers from various disciplines working together to address complex problems, in partnership with those affected by the problem (people with lived experience) and those in a position to do something about the problem (ie, practitioners and decision makers). Community-based participatory research is another type of collaborative research that can help bridge the gap among research, practice, and policy through community engagement and attention to existing relationships, needs, and assets in a community. 21 Increasingly, academic institutions are exploring how to incentivize researchers’ engagement with practitioners and decision makers. 22

Collaborative research is problem focused and shifts the paradigm from the researcher being considered the expert to researchers, practitioners, and decision makers as experts who all bring vital and complementary knowledge and skills to address complex problems. 23 Along with the production of relevant and actionable research findings, the involvement of practitioners and decision makers in collaborative research can increase the capacity of public health practitioners and decision makers to use research evidence through, for example, changes in attitudes toward research. 24 It can also encourage researchers to address problems that are of concern to practitioners and decision makers. Emerging literature supports the proposition that collaborative research may produce research that is useful to practitioners and decision makers, increase the adoption and application of research in practice and policy, and improve population health outcomes.19,25,26 Although emerging, evidence for the effectiveness of collaborative research on the uptake of research evidence in practice and policy is in its infancy. 27 Therefore, research is needed that focuses on both the influence of collaborative research on the uptake of research evidence and subsequent health outcomes and the pathways by which these outcomes are achieved, such as attitudes toward research.

  • Recommendation 2: Public policy funding should recognize and support strategies that assist in successful collaborative research, such as funding system intermediary roles or supporting professional development for researchers to gain the necessary skills to engage in collaborative research.

Creating successful collaboration across disciplines and organizational boundaries is challenging. Expectations of researchers who engage in collaborative research are high and include producing rigorous, high-quality research that contributes to community change. 28 Consequently, the researchers’ role is not only to generate new research evidence but also to act as “change agents” (ie, participate in processes that aim to address real-world issues). 29 Furthermore, bringing together experts in various public health disciplines and working with diverse community partners (eg, community members, practitioners, industry partners, decision makers) requires a particular skill set to effectively engage community partners, appreciate diverse perspectives, integrate various forms of knowledge, and build trusting relationships.30,31 Provision of funding for a “system intermediary” (also known as knowledge broker, boundary spanner partnership broker, knowledge integration specialist) 30 as part of collaborative research teams is a potential strategy to facilitate successful collaboration. These professionals have expertise in the integration of disciplinary expertise, research translation, and implementation.31,32 They help bring together researchers, practitioners, and decision makers to generate new research findings and translate those findings into practice and policy. 33 Alternatively, public policy could support skill building/professional development of research students and researchers to engage in collaborative research, for example, in engaging diverse community partners, appreciating diverse perspectives, and building trusting relationships.

  • Recommendation 3: Public policy funding schemes should support long-term collaborations among researchers, practitioners, and decision makers.

A long-term funding commitment beyond the life of a single research project is needed for meaningful collaborations among researchers, practitioners, and decision makers. 34 However, the focus of most research funding is single research projects. Institutional support, especially from government, for ongoing collaboration is required, and incentives and financial support are needed for activities that connect researchers, practitioners, and decision makers and enable knowledge translation activities, even after projects formally end. 34 Institutional and financial support may provide a foundation for follow-up research that is co-designed based on mutually identified needs and priorities, which in turn have the potential to further enhance research translation and utilization and population health outcomes. Examples include (1) after the formal end of a collaborative project, a memorandum of understanding could be encouraged between the institutions or other interinstitutional agreements could be established to support postproject research translation events and activities, which will keep researchers, practitioners, and decision makers connected, or (2) allowance of funding requests could be included in project applications to support ongoing engagement beyond project delivery and continue actions toward implementation success and other opportunities for embedding evidence in practice.

  • Recommendation 4: Public policy funding guidelines should recognize and reward the application of research designs and methodologies that are conducive to the production of research evidence that is high quality, relevant, and actionable in practice.

Addressing the complex issues faced by practitioners and decision makers requires the application of research methodologies that can attend to complexity. Practitioners and decision makers require research evidence that is appropriate to their settings and populations and that helps in understanding complex causal pathways to population health outcomes. Although incentives within the academic research environment generally favor designs with strong internal validity, these designs sometimes do not address questions of transferability (how well the intervention works in different contexts) and generalizability (how well the intervention can be scaled up).35,36 For research evidence to be used in practice and policy, researchers need to apply designs and methods that strengthen the internal and external validity of findings, including those that elicit understandings of the relationship between intervention and context.37,38 A shift is needed from the current situation—in which funding schemes often reward researchers for interventions that have potential for large effect sizes in a highly controlled research setting, rather than their potential feasibility and scalability35,37—to research designs that seek to balance internal and external validity.37,39

To maximize research translation and utilization in practice, a need exists to recognize research designs and methodologies that are conducive to both the production of high-quality research evidence and its translation and utilization into policy and practice.36,37 The value of research designs that consider effectiveness, the contexts of implementation, and the interrelated and nonlinear mechanisms that lead to outcomes has been recognized.39-41 Examples of such approaches include the following:

  • Case study research, which is increasingly recognized as a desirable approach to evaluating complex interventions.39-41 A distinguishing feature of case study research is that it pays attention to the contextual factors that interact with interventions to produce outcomes. 41 Case studies consider context, complexity, and mechanisms for understanding how, where, and why interventions have their observed outcomes, 41 providing useful and actionable research to guide practice and policy.35,42 However, in terms of hierarchy of evidence, grading instruments generally rely on traditional evidence hierarchies that place randomized controlled trials at the top of the hierarchy, regardless of the research problem being addressed, and place other types of research lower in the hierarchy. 43

  • Research designs that integrate a range of methods in an iterative way. For example, Green et al proposed an integration of quasi-experimental and inductive designs to evaluate complex public health interventions. 44 These types of designs facilitate the production of evidence of interest to researchers, practitioners, and decision makers and avoid tradeoffs between external and internal validity.

  • Hybrid effectiveness-implementation designs, which blend design components of effectiveness and implementation research. It has been suggested that blended designs can provide benefits such as rapid translational gains, effective implementation strategies, and useful information for decision makers. 45

Public policy funding criteria for public health interventions should include, as a part of the assessment matrix, matters relating to implementation, such as feasibility and scalability along with the potential for efficacy. Funding criteria could include the development and application of quality indicators for research that seeks to have an impact on society and advance science. Furthermore, funding guidelines should ensure that expert reviewer panels include sufficient representation of specialists with expertise in various study designs and specify that study designs should fit the research problem being addressed, rather than favoring a particular study design. Training could also be provided to funding reviewers to enhance their competencies in assessing the knowledge translation component of funding applications. 46

  • Recommendation 5: Public policy should fund dissemination costs beyond peer-reviewed journals through full funding of knowledge translation activities so that research findings are communicated and disseminated to reach practitioners and decision makers.

One of the main barriers to the translation and utilization of research evidence in public health practice is a disconnection between how researchers communicate and disseminate their findings (ie, peer-reviewed publications/academic journals and conferences) 47 and how practitioners and decision makers learn about the latest research evidence (eg, webinars and workshops, individual communication, social media).47-50 Research findings are often not easily accessible, tailored, or effectively disseminated or readily shared with practitioners.51-53 Often, research findings are (1) presented in a way that does little to demonstrate their relevance and applicability to local circumstances and (2) not easily accessible to nonacademic audiences because of language and communication style focused on discipline-based readership (eg, practitioners may have limited understanding of statistical terms and jargon used in research 54 ). Research findings may not always be timely and actionable because of lengthy timelines for publication in academic journals and books, which makes it difficult for decision makers and practitioners to use them.6,37 Furthermore, researchers are often not incentivized to engage in research evidence translation activities. 22

For research evidence to be used in practice and policy, it needs to be relevant, accessible, and available in a form that practitioners and decision makers can use (eg, webinars, conferences, workshops, advocacy groups, social media, newsletters).47-50 For example, research evidence dissemination needs to target practitioners and decision makers through tailored messaging and appropriate mediums, such as summary briefings with clear statements of implications for practice and policy, tools and guidance, interactive educational sessions, and media engagement. For effective dissemination to occur, researchers need to be trained and/or incentivized to make their research more accessible to nonacademic audiences, such as decision makers and practitioners, and to disseminate their research findings through a range of channels and to a range of audiences beyond academic journals and scientific conferences. 22 Synthesis and translation should be co-created with practitioners and decision makers to ensure that language and messaging is appropriate, reinforcing the importance of support for collaboration beyond the research project and for translation activities to be resourced. Funding schemes need to support dissemination through fully resourcing knowledge translation plans and recognize dissemination activities in funding timelines (eg, dissemination is likely to occur during and after the project’s conclusion). Furthermore, mechanisms for monitoring dissemination activity from funded projects should be examined to ensure researcher accountability for research translation activities.

  • Recommendation 6: Countries should establish a “one-stop” centralized and interactive public health knowledge exchange portal to communicate and disseminate research evidence in a way that meets the needs of public health practitioners.

A potentially effective strategy for disseminating research evidence is the establishment of a centralized national public health knowledge exchange portal. Such a web platform would support access by practitioners, decision makers, researchers, and the public to evidence-informed literature and resources and serve as a forum for knowledge exchange across sectors and organizational boundaries. 8 Knowledge exchange portals usually allow user-friendly, integrated access to relevant content and resources in one place. 8 They bring together practitioners, decision makers, and researchers for knowledge exchange and encourage the sharing and dissemination of evidence-informed information. 8 Formative evaluation studies suggest that practitioners and decision makers require easily accessible, clear, and concise information and collaborative features to engage in knowledge exchange. 8 When combined with other translation strategies such as tailored and targeted messaging, knowledge exchange portals can influence the use of research evidence in public health practice.8,55

Based on our knowledge, these types of portals are becoming more popular, especially in high-income countries, 8 but their establishment and maintenance seem to depend on institutions and project-by-project funding, which results in many smaller-scale portals that are not regularly updated and maintained. Thus, it may be difficult for researchers, practitioners, and decision makers to use them because of the fragmentation and lack of systemic effort to (1) integrate and/or connect similar portals, (2) continuously fund portal maintenance, and (3) promote the use of knowledge exchange portals. Therefore, a commitment to long-term funding of such portals is integral to their success as a mechanism for research evidence dissemination.

Conclusion

In this commentary, we have provided recommendations to policy makers who seek to support the translation and utilization of research evidence in public health practice. We included public policy recommendations important for the production of relevant and actionable research evidence, effective communication, and wide dissemination of research findings. The suggested policy recommendations are complementary and, as such, can work toward closing the research-to-practice-and-policy gap and improving population health outcomes. Although our evidence suggests that policy recommendations could be applicable across various contexts and settings, we acknowledge that applicability and relevance of these recommendations depends on country-specific political, legal, academic, economic, and overall public health contexts and that decisions related to public health policy development, policy implementation, and funding may be made at different levels and in different settings, which may limit the generalizability of the recommendations. Finally, given the importance of evaluation of public policies and policy initiatives, if these policy recommendations were to be implemented, we recommend rigorous evaluation of their effectiveness and impact.

Acknowledgments

Some of the ideas in this commentary are based on the work in a policy evidence brief developed for the Australian Department of Health. The authors thank the following experts and acknowledge their contributions to the policy evidence brief: Lauren Ball, PhD (Menzies Health Institute, Griffith University, Brisbane, Australia); Fiona Druitt, PhD (Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia); Bree Nicholas, BA, GraDip (Research Services, Victoria University, Melbourne, Australia); Ingrid Penberthy, B.OccThy (National Disability Insurance Scheme Governance Branch, Department of Social Services, Canberra, Australia); Yael Perry, PhD (Telethon Kids Institute, University of Western Australia, Perth, Australia); and Rosemary Calder, BA, LLD h.c. (Mitchell Institute for Education and Health Policy, Victoria University, Melbourne, Australia). In addition, a poster titled “Increasing the Translation and Utilization of Research Evidence in Public Health: Suggestions for Public Policy” was presented at the International Union for Health Promotion and Education World Conference on Health Promotion in May 2022, Montreal, Quebec, Canada.

Footnotes

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The Australian Department of Health and Victoria University cofunded the development of a policy evidence brief that examined increasing research evidence translation and utilization to improve population health outcomes. Some of the ideas in this commentary are based on the work in this policy evidence brief.

ORCID iDs: Bojana Klepac, PhD Inline graphic https://orcid.org/0000-0002-9141-1862

Melinda Craike, PhD Inline graphic https://orcid.org/0000-0002-7374-1286

References

  • 1. Brownson RC, Baker EA, Deshpande AD, Gillespie KN. Evidence-Based Public Health. 3rd ed. Oxford University Press; 2017. [Google Scholar]
  • 2. Brownson RC, Fielding JE, Maylahn CM. Evidence-based public health: a fundamental concept for public health practice. Annu Rev Public Health. 2009;30:175-201. doi: 10.1146/annurev.publhealth.031308.100134 [DOI] [PubMed] [Google Scholar]
  • 3. Graham ID, Kothari A, McCutcheon C. Moving knowledge into action for more effective practice, programmes and policy: protocol for a research programme on integrated knowledge translation. Implement Sci. 2018;13(1):22. doi: 10.1186/s13012-017-0700-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Orton L, Lloyd-Williams F, Taylor-Robinson D, O’Flaherty M, Capewell S. The use of research evidence in public health decision making processes: systematic review. PLoS One. 2011;6(7):e21704. doi: 10.1371/journal.pone.0021704 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Bauer MS, Kirchner J. Implementation science: what is it and why should I care? Psychiatry Res. 2020;283:112376. doi: 10.1016/j.psychres.2019.04.025 [DOI] [PubMed] [Google Scholar]
  • 6. Smith K. Beyond Evidence-Based Policy in Public Health: The Interplay of Ideas. Palgrave Macmillan UK; 2013. doi: 10.1057/9781137026583 [DOI] [Google Scholar]
  • 7. Hämäläinen RM, Aro AR, van de Goor I, et al. Exploring the use of research evidence in health-enhancing physical activity policies. Health Res Policy Syst. 2015;13(1):43. doi: 10.1186/s12961-015-0047-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Quinn E, Huckel-Schneider C, Campbell D, Seale H, Milat AJ. How can knowledge exchange portals assist in knowledge management for evidence-informed decision making in public health? BMC Public Health. 2014;14:443. doi: 10.1186/1471-2458-14-443 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Revere D, Turner AM, Madhavan A, et al. Understanding the information needs of public health practitioners: a literature review to inform design of an interactive digital knowledge management system. J Biomed Inform. 2007;40(4):410-421. doi: 10.1016/j.jbi.2006.12.008 [DOI] [PubMed] [Google Scholar]
  • 10. LaPelle NR, Dahlen K, Gabella BA, Juhl AL, Martin E. Overcoming inertia: increasing public health departments’ access to evidence-based information and promoting usage to inform practice. Am J Public Health. 2014;104(1):77-80. doi: 10.2105/AJPH.2013.301404 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. LaPelle NR, Luckmann R, Simpson EH, Martin ER. Identifying strategies to improve access to credible and relevant information for public health professionals: a qualitative study. BMC Public Health. 2006;6:89. doi: 10.1186/1471-2458-6-89 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Jacobs JA, Dodson EA, Baker EA, Deshpande AD, Brownson RC. Barriers to evidence-based decision making in public health: a national survey of chronic disease practitioners. Public Health Rep. 2010;125(5):736-742. doi: 10.1177/003335491012500516 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Singh KK. Evidence-based public health: barriers and facilitators to the transfer of knowledge into practice. Indian J Public Health. 2015;59(2):131-135. doi: 10.4103/0019-557X.157534 [DOI] [PubMed] [Google Scholar]
  • 14. Schleiff MJ, Kuan A, Ghaffar A. Comparative analysis of country-level enablers, barriers and recommendations to strengthen institutional capacity for evidence uptake in decision-making. Health Res Policy Syst. 2020;18(1):78. doi: 10.1186/s12961-020-00546-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Sibbald SL, Tetroe J, Graham ID. Research funder required research partnerships: a qualitative inquiry. Implement Sci. 2014;9:176. doi: 10.1186/s13012-014-0176-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Boswell C, Smith K. Rethinking policy ‘impact’: four models of research-policy relations. Palgrave Commun. 2017;3:44. doi: 10.1057/s41599-017-0042-z [DOI] [Google Scholar]
  • 17. Ranson MK, Bennett SC. Priority setting and health policy and systems research. Health Res Policy Syst. 2009;7:27. doi: 10.1186/1478-4505-7-27 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Smith K. Research, policy and funding—academic treadmills and the squeeze on intellectual spaces. Br J Sociol. 2010;61(1):176-195. doi: 10.1111/j.1468-4446.2009.01307.x [DOI] [PubMed] [Google Scholar]
  • 19. Kneale D, Rojas-García A, Thomas J. Obstacles and opportunities to using research evidence in local public health decision-making in England. Health Res Policy Syst. 2019;17(1):61. doi: 10.1186/s12961-019-0446-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Ross S, Lavis J, Rodriguez C, Woodside J, Denis JL. Partnership experiences: involving decision-makers in the research process. J Health Serv Res Policy. 2003;8(suppl 2):26-34. doi: 10.1258/135581903322405144 [DOI] [PubMed] [Google Scholar]
  • 21. Wallerstein N, Duran B. Community-based participatory research contributions to intervention research: the intersection of science and practice to improve health equity. Am J Public Health. 2010;100(suppl 1):S40-S46. doi: 10.2105/AJPH.2009.184036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Jessani NS, Valmeekanathan A, Babcock CM, Ling B. Academic incentives for enhancing faculty engagement with decision-makers—considerations and recommendations from one school of public health. Humanit Soc Sci Commun. 2020;7(1):148. doi: 10.1057/s41599-020-00629-1 [DOI] [Google Scholar]
  • 23. Gagliardi AR, Berta W, Kothari A, Boyko J, Urquhart R. Integrated knowledge translation (IKT) in health care: a scoping review. Implement Sci. 2016;11:38. doi: 10.1186/s13012-016-0399-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Nyström ME, Karltun J, Keller C, Andersson Gäre B. Collaborative and partnership research for improvement of health and social services: researcher’s experiences from 20 projects. Health Res Policy Syst. 2018;16(1):46. doi: 10.1186/s12961-018-0322-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Tabak RG, Padek MM, Kerner JF, et al. Dissemination and implementation science training needs: insights from practitioners and researchers. Am J Prev Med. 2017;52(3 suppl 3):S322-S329. doi: 10.1016/j.amepre.2016.10.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Jagosh J, Macaulay AC, Pluye P, et al. Uncovering the benefits of participatory research: implications of a realist review for health research and practice. Milbank Q. 2012;90(2):311-346. doi: 10.1111/j.1468-0009.2012.00665.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Boland L, Kothari A, McCutcheon C, Graham ID. Building an integrated knowledge translation (IKT) evidence base: colloquium proceedings and research direction. Health Res Policy Syst. 2020;18(1):8. doi: 10.1186/s12961-019-0521-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Schäpke N, Stelzer F, Caniglia G, et al. Jointly experimenting for transformation? Shaping real-world laboratories by comparing them. GAIA Ecol Perspect Sci Soc. 2018;27(suppl 1):85-96. doi: 10.14512/gaia.27.S1.16 [DOI] [Google Scholar]
  • 29. Wittmayer JM, Schäpke N. Action, research and participation: roles of researchers in sustainability transitions. Sustain Sci. 2014;9:483-496. doi: 10.1007/s11625-014-0258-4 [DOI] [Google Scholar]
  • 30. Branch S, Riley T, Krahe M, Klepac Pogrmilovic B, Craike M. System Intermediaries: A Brief Literature Review. Pathways in Place; 2021. Accessed May 27, 2022. https://www.pathwaysinplace.com.au/our-research/system-intermediaries-brief-literature-review [Google Scholar]
  • 31. Bammer G, O’Rourke M, O’Connell D, et al. Expertise in research integration and implementation for tackling complex problems: when is it needed, where can it be found and how can it be strengthened? Palgrave Commun. 2020;6:5. doi: 10.1057/s41599-019-0380-0 [DOI] [Google Scholar]
  • 32. Bammer G. A Systematic Approach to Integration in Research. Integration Insights. Australian Government; 2006. Accessed May 27, 2022. https://i2s.anu.edu.au/wp-content/uploads/2009/10/integration-insight_1.pdf [Google Scholar]
  • 33. Gerrits RG, Kringos DS, van den Berg MJ, Klazinga NS. Improving interpretation of publically reported statistics on health and healthcare: the Figure Interpretation Assessment Tool (FIAT-Health). Health Res Policy Syst. 2018;16(1):20. doi: 10.1186/s12961-018-0279-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Meagher L, Lyall C. The invisible made visible: using impact evaluations to illuminate and inform the role of knowledge intermediaries. Evid Policy J Res Debate Pract. 2013;9(3):409-418. doi: 10.1332/174426413X14818994998468 [DOI] [Google Scholar]
  • 35. Green LW, Glasgow RE. Evaluating the relevance, generalization, and applicability of research: issues in external validation and translation methodology. Eval Health Prof. 2006;29(1):126-153. doi: 10.1177/0163278705284445 [DOI] [PubMed] [Google Scholar]
  • 36. Perry Y, Bennett-Levy J. Delivering the ‘H’ in NHMRC: the case for implementation research in mental health. Aust N Z J Public Health. 2014;38(5):411-413. doi: 10.1111/1753-6405.12275 [DOI] [PubMed] [Google Scholar]
  • 37. Ammerman A, Smith TW, Calancie L. Practice-based evidence in public health: improving reach, relevance, and results. Annu Rev Public Health. 2014;35:47-63. doi: 10.1146/annurev-publhealth-032013-182458 [DOI] [PubMed] [Google Scholar]
  • 38. Coldwell M. Reconsidering context: six underlying features of context to improve learning from evaluation. Evaluation. 2019;25(1):99-117. doi: 10.1177/1356389018803234 [DOI] [Google Scholar]
  • 39. Woolcock M. Using case studies to explore the external validity of ‘complex’ development interventions. Evaluation. 2013;19(3):229-248. doi: 10.1177/1356389013495210 [DOI] [Google Scholar]
  • 40. Grant A, Bugge C, Wells M. Designing process evaluations using case study to explore the context of complex interventions evaluated in trials. Trials. 2020;21(1):982. doi: 10.1186/s13063-020-04880-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Paparini S, Green J, Papoutsi C, et al. Case study research for better evaluations of complex interventions: rationale and challenges. BMC Med. 2020;18(1):301. doi: 10.1186/s12916-020-01777-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Green LW. Making research relevant: if it is an evidence-based practice, where’s the practice-based evidence? Fam Pract. 2008;25(suppl 1):i20-i24. doi: 10.1093/fampra/cmn055 [DOI] [PubMed] [Google Scholar]
  • 43. Irving M, Eramudugolla R, Cherbuin N, Anstey KJ. A critical review of grading systems: implications for public health policy. Eval Health Prof. 2017;40(2):244-262. doi: 10.1177/0163278716645161 [DOI] [PubMed] [Google Scholar]
  • 44. Green J, Roberts H, Petticrew M, et al. Integrating quasi-experimental and inductive designs in evaluation: a case study of the impact of free bus travel on public health. Evaluation. 2015;21(4):391-406. doi: 10.1177/1356389015605205 [DOI] [Google Scholar]
  • 45. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness–implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217-226. doi: 10.1097/MLR.0b013e3182408812 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Scarrow G, Angus D, Holmes BJ. Reviewer training to assess knowledge translation in funding applications is long overdue. Res Integr Peer Rev. 2017;2(1):13. doi: 10.1186/s41073-017-0037-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. McVay AB, Stamatakis KA, Jacobs JA, Tabak RG, Brownson RC. The role of researchers in disseminating evidence to public health practice settings: a cross-sectional study. Health Res Policy Syst. 2016;14(1):42. doi: 10.1186/s12961-016-0113-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Fields RP, Stamatakis KA, Duggan K, Brownson RC. Importance of scientific resources among local public health practitioners. Am J Public Health. 2015;105(suppl 2):S288-S294. doi: 10.2105/AJPH.2014.302323 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Pizzuti AG, Patel KH, McCreary EK, et al. Healthcare practitioners’ views of social media as an educational resource. PLoS One. 2020;15(2):e0228372. doi: 10.1371/journal.pone.0228372 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Dobbins M, Jack S, Thomas H, Kothari A. Public health decision-makers’ informational needs and preferences for receiving research evidence. Worldviews Evid Based Nurs. 2007;4(3):156-163. doi: 10.1111/j.1741-6787.2007.00089.x [DOI] [PubMed] [Google Scholar]
  • 51. Kessler R, Glasgow RE. A proposal to speed translation of healthcare research into practice: dramatic change is needed. Am J Prev Med. 2011;40(6):637-644. doi: 10.1016/j.amepre.2011.02.023 [DOI] [PubMed] [Google Scholar]
  • 52. Kreuter MW, Wray RJ. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav. 2003;27(suppl 3):S227-S232. doi: 10.5993/ajhb.27.1.s3.6 [DOI] [PubMed] [Google Scholar]
  • 53. Campbell DM, Redman S, Jorm L, Cooke M, Zwi AB, Rychetnik L. Increasing the use of evidence in health policy: practice and views of policy makers and researchers. Aust New Zealand Health Policy. 2009;6:21. doi: 10.1186/1743-8462-6-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Majid S, Foo S, Luyt B, et al. Adopting evidence-based practice in clinical decision making: nurses’ perceptions, knowledge, and barriers. J Med Libr Assoc. 2011;99(3):229-236. doi: 10.3163/1536-5050.99.3.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Dobbins M, Hanna SE, Ciliska D, et al. A randomized controlled trial evaluating the impact of knowledge translation and exchange strategies. Implement Sci. 2009;4:61. doi: 10.1186/1748-5908-4-61 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Public Health Reports are provided here courtesy of SAGE Publications

RESOURCES