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      How does embedded implementation research work? Examining core features through qualitative case studies in Latin America and the Caribbean

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          Abstract

          Innovative strategies are needed to improve the delivery of evidence-informed health interventions. Embedded implementation research (EIR) seeks to enhance the generation and use of evidence for programme improvement through four core features: (1) central involvement of programme/policy decision-makers in the research cycle; (2) collaborative research partnerships; (3) positioning research within programme processes and (4) research focused on implementation. This paper examines how these features influence evidence-to-action processes and explores how they are operationalized, their effects and supporting conditions needed. We used a qualitative, comparative case study approach, drawing on document analysis and semi-structured interviews across multiple informant groups, to examine three EIR projects in Bolivia, Colombia and the Dominican Republic. Our findings are presented according to the four core EIR features. The central involvement of decision-makers in EIR was enhanced by decision-maker authority over the programme studied, professional networks and critical reflection. Strong research–practice partnerships were facilitated by commitment, a clear and shared purpose and representation of diverse perspectives. Evidence around positioning research within programme processes was less conclusive; however, as all three cases made significant advances in research use and programme improvement, this feature of EIR may be less critical than others, depending on specific circumstances. Finally, a research focus on implementation demanded proactive engagement by decision-makers in conceptualizing the research and identifying opportunities for direct action by decision-makers. As the EIR approach is a novel approach in these low-resource settings, key supports are needed to build capacity of health sector stakeholders and create an enabling environment through system-level strategies. Key implications for such supports include: promoting EIR and creating incentives for decision-makers to engage in it, establishing structures or mechanisms to facilitate decision-maker involvement, allocating funds for EIR, and developing guidance for EIR practitioners.

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          Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

          Background Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. Methods We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. Results The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. Conclusion The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.
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            Using the framework method for the analysis of qualitative data in multi-disciplinary health research

            Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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              The Many Meanings of Research Utilization

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                Author and article information

                Journal
                Health Policy Plan
                Health Policy Plan
                heapol
                Health Policy and Planning
                Oxford University Press
                0268-1080
                1460-2237
                November 2020
                06 November 2020
                06 November 2020
                : 35
                : Suppl 2 , Innovations in Implementation Research in Low- and Middle-Income Countries
                : ii98-ii111
                Affiliations
                [c1 ] Department of International Health, Johns Hopkins School of Public Health , 615 N Wolfe St, Baltimore, MD 21205, United States
                [c2 ] Social and Behavioral Interventions Program, Department of International Health , Johns Hopkins School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States
                [c3 ] The Alliance for Health Policy and Systems Research at the World Health Organization , 20 avenue Appia, 1211 Geneva, Switzerland
                Author notes
                Corresponding author. Malabia 1970, Buenos Aires CABA 1414, Argentina. E-mail: ilonavarallyay@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-8377-3444
                Article
                czaa126
                10.1093/heapol/czaa126
                7646734
                33156937
                4703301e-987c-4153-87ac-561fbe3e7317
                © The Author(s) 2020. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

                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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 September 2020
                Page count
                Pages: 14
                Funding
                Funded by: Alliance for Health Policy and Systems Research, DOI 10.13039/100007855;
                Funded by: World Health Organization, DOI 10.13039/100004423;
                Categories
                Supplement Articles
                AcademicSubjects/MED00860

                Social policy & Welfare
                implementation research,embedded research,decision-maker-led research,evidence coproduction,research–practice partnerships,collaborative research partnerships,evidence-informed decision-making,evidence-to-action,knowledge translation,health policy and systems research,low- and middle-income countries,latin america and the caribbean

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