Criteria for selecting implementation science theories and frameworks: results from an international survey.

Background: Theories provide a synthesizing architecture for implementation science. The underuse, superficial use, and misuse of theories pose a substantial scientific challenge for implementation science and may relate to challenges in selecting from the many theories in the field. Implementation...

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Publicado en:Implementation Science Vol. 12; no. 1; pp. 1 - 10
Autores principales: Birken, Sarah A., Powell, Byron J., Shea, Christopher M., Haines, Emily R., Alexis Kirk, M., Leeman, Jennifer, Rohweder, Catherine, Damschroder, Laura, Presseau, Justin
Formato: Journal Article
Publicado: BioMed Central 10/30/2017
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Criteria for selecting implementation science theories and frameworks: results from an international survey.
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          Birken, Sarah A.
          Powell, Byron J.
          Shea, Christopher M.
          Haines, Emily R.
          Alexis Kirk, M.
          Leeman, Jennifer
          Rohweder, Catherine
          Damschroder, Laura
          Presseau, Justin
        affil: Department of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, 1103E McGavran-Greenberg, 135 Dauer Drive, Campus Box 7411, Chapel Hill, NC 27599-7411, USA
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        subj:
          Health Services Research Methods
          Surveys
          Health and Welfare Planning Methods
          Male
          International Relations
          Female
          Male
          Female
      ab: Background: Theories provide a synthesizing architecture for implementation science. The underuse, superficial use, and misuse of theories pose a substantial scientific challenge for implementation science and may relate to challenges in selecting from the many theories in the field. Implementation scientists may benefit from guidance for selecting a theory for a specific study or project. Understanding how implementation scientists select theories will help inform efforts to develop such guidance. Our objective was to identify which theories implementation scientists use, how they use theories, and the criteria used to select theories.Methods: We identified initial lists of uses and criteria for selecting implementation theories based on seminal articles and an iterative consensus process. We incorporated these lists into a self-administered survey for completion by self-identified implementation scientists. We recruited potential respondents at the 8th Annual Conference on the Science of Dissemination and Implementation in Health and via several international email lists. We used frequencies and percentages to report results.Results: Two hundred twenty-three implementation scientists from 12 countries responded to the survey. They reported using more than 100 different theories spanning several disciplines. Respondents reported using theories primarily to identify implementation determinants, inform data collection, enhance conceptual clarity, and guide implementation planning. Of the 19 criteria presented in the survey, the criteria used by the most respondents to select theory included analytic level (58%), logical consistency/plausibility (56%), empirical support (53%), and description of a change process (54%). The criteria used by the fewest respondents included fecundity (10%), uniqueness (12%), and falsifiability (15%).Conclusions: Implementation scientists use a large number of criteria to select theories, but there is little consensus on which are most important. Our results suggest that the selection of implementation theories is often haphazard or driven by convenience or prior exposure. Variation in approaches to selecting theory warn against prescriptive guidance for theory selection. Instead, implementation scientists may benefit from considering the criteria that we propose in this paper and using them to justify their theory selection. Future research should seek to refine the criteria for theory selection to promote more consistent and appropriate use of theory in implementation science.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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