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      Sustainment of diverse evidence-informed practices disseminated in the Veterans Health Administration (VHA): initial development and piloting of a pragmatic survey tool

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          Abstract

          Background

          There are challenges associated with measuring sustainment of evidence-informed practices (EIPs). First, the terms sustainability and sustainment are often falsely conflated: sustainability assesses the likelihood of an EIP being in use in the future while sustainment assesses the extent to which an EIP is (or is not) in use. Second, grant funding often ends before sustainment can be assessed.

          The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) program is one of few large-scale models of diffusion; it seeks to identify and disseminate practices across the VHA system. The DoE sponsors “Shark Tank” competitions, in which leaders bid on the opportunity to implement a practice with approximately 6 months of implementation support. As part of an ongoing evaluation of the DoE, we sought to develop and pilot a pragmatic survey tool to assess sustainment of DoE practices.

          Methods

          In June 2020, surveys were sent to 64 facilities that were part of the DoE evaluation. We began analysis by comparing alignment of quantitative and qualitative responses; some facility representatives reported in the open-text box of the survey that their practice was on a temporary hold due to COVID-19 but answered the primary outcome question differently. As a result, the team reclassified the primary outcome of these facilities to Sustained: Temporary COVID-Hold. Following this reclassification, the number and percent of facilities in each category was calculated. We used directed content analysis, guided by the Consolidated Framework for Implementation Research (CFIR), to analyze open-text box responses.

          Results

          A representative from forty-one facilities (64%) completed the survey. Among responding facilities, 29/41 sustained their practice, 1/41 partially sustained their practice, 8/41 had not sustained their practice, and 3/41 had never implemented their practice. Sustainment rates increased between Cohorts 1–4.

          Conclusions

          The initial development and piloting of our pragmatic survey allowed us to assess sustainment of DoE practices. Planned updates to the survey will enable flexibility in assessing sustainment and its determinants at any phase after adoption. This assessment approach can flex with the longitudinal and dynamic nature of sustainment, including capturing nuances in outcomes when practices are on a temporary hold. If additional piloting illustrates the survey is useful, we plan to assess the reliability and validity of this measure for broader use in the field.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s43058-022-00386-z.

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          Most cited references35

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            RE-AIM Planning and Evaluation Framework: Adapting to New Science and Practice With a 20-Year Review

            The RE-AIM planning and evaluation framework was conceptualized two decades ago. As one of the most frequently applied implementation frameworks, RE-AIM has now been cited in over 2,800 publications. This paper describes the application and evolution of RE-AIM as well as lessons learned from its use. RE-AIM has been applied most often in public health and health behavior change research, but increasingly in more diverse content areas and within clinical, community, and corporate settings. We discuss challenges of using RE-AIM while encouraging a more pragmatic use of key dimensions rather than comprehensive applications of all elements. Current foci of RE-AIM include increasing the emphasis on cost and adaptations to programs and expanding the use of qualitative methods to understand “how” and “why” results came about. The framework will continue to evolve to focus on contextual and explanatory factors related to RE-AIM outcomes, package RE-AIM for use by non-researchers, and integrate RE-AIM with other pragmatic and reporting frameworks.
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              The Coding Manual for Qualitative Researchers

              Johnny Saldaña’s unique and invaluable manual demystifies the qualitative coding process with a comprehensive assessment of different coding types, examples and exercises. The ideal reference for students, teachers, and practitioners of qualitative inquiry, it is essential reading across the social sciences and neatly guides you through the multiple approaches available for coding qualitative data.</p> <p>Its wide array of strategies, from the more straightforward to the more complex, is skillfully explained and carefully exemplified providing a complete toolkit of codes and skills that can be applied to any research project. For each code Saldaña provides information about the method′s origin, gives a detailed description of the method, demonstrates its practical applications, and sets out a clearly illustrated example with analytic follow-up. <br> <br> Now with a companion website, the book is supported by: </p> <ul> <li>SAGE journal articles showing coding being applied to real research </li> <li>Sample transcripts highlighting coding techniques </li> <li>Links to CAQDAS sites to introduce relevant software </li> <li>Practical student exercises Links to video and digital content </li> </ul> <p>This international bestseller is an extremely usable, robust manual and is a must-have resource for qualitative researchers at all levels.<br> <br> Click here for a listing of Johnny Saldaña′s upcoming workshops.</p>
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                Author and article information

                Contributors
                Caitlin.Reardon@va.gov
                Journal
                Implement Sci Commun
                Implement Sci Commun
                Implementation Science Communications
                BioMed Central (London )
                2662-2211
                16 January 2023
                16 January 2023
                2023
                : 4
                : 6
                Affiliations
                [1 ]GRID grid.413800.e, ISNI 0000 0004 0419 7525, Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, ; Ann Arbor, USA
                [2 ]GRID grid.512153.1, Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, ; Durham, USA
                [3 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Population Health Sciences, , Duke University, ; Durham, USA
                [4 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Division of General Internal Medicine, , Duke University, ; Durham, USA
                [5 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Family Medicine & Community Health, , Duke University, ; Durham, USA
                [6 ]Center for Healthcare Organization & Implementation Research (CHOIR), Bedford & Boston VA Medical Centers, Bedford, USA
                [7 ]Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, USA
                [8 ]GRID grid.168645.8, ISNI 0000 0001 0742 0364, Division of General Internal Medicine, , University of Massachusetts Medical School, ; Worcester, USA
                [9 ]GRID grid.189504.1, ISNI 0000 0004 1936 7558, Section of General Internal Medicine, , Boston University School of Medicine, ; Boston, USA
                [10 ]GRID grid.189504.1, ISNI 0000 0004 1936 7558, Department of Health Law, Policy & Management, , Boston University, ; Boston, USA
                [11 ]GRID grid.239186.7, ISNI 0000 0004 0481 9574, Innovation Ecosystem, United States Veterans Health Administration, ; Washington, D.C., USA
                Author information
                http://orcid.org/0000-0002-9547-7981
                Article
                386
                10.1186/s43058-022-00386-z
                9842210
                36647162
                00c90a79-4f5f-4aca-9195-5459b850de2f
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023

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                History
                : 13 October 2021
                : 18 December 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                sustainability,sustainment,measurement,outcomes,model of diffusion,consolidated framework for implementation research (cfir)

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