2014
DOI: 10.1007/s13142-014-0251-6
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Using qualitative comparative analysis to understand and quantify translation and implementation

Abstract: Understanding the factors that facilitate implementation of behavioral medicine programs into practice can advance translational science. Often, translation or implementation studies use case study methods with small sample sizes. Methodological approaches that systematize findings from these types of studies are needed to improve rigor and advance the field. Qualitative comparative analysis (QCA) is a method and analytical approach that can advance implementation science. QCA offers an approach for rigorously… Show more

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Cited by 84 publications
(90 citation statements)
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“…QCA is a set-theoretic method based on Boolean algebra that is increasingly used in sociological, management, and health services research to explore complex social phenomena [80, 81]. The primary benefit of QCA for the proposed research is the technique’s ability to identify conditions or combinations of conditions that are necessary vs. sufficient for agency investment in organizational supports for evidence use.…”
Section: Methodsmentioning
confidence: 99%
“…QCA is a set-theoretic method based on Boolean algebra that is increasingly used in sociological, management, and health services research to explore complex social phenomena [80, 81]. The primary benefit of QCA for the proposed research is the technique’s ability to identify conditions or combinations of conditions that are necessary vs. sufficient for agency investment in organizational supports for evidence use.…”
Section: Methodsmentioning
confidence: 99%
“…Third, we used qualitative comparative analysis (QCA) to compare data from these diverse facilities. QCA is a method of comparing data from several case studies that allows one to identify multiple factors, and configurations of these factors, potentially associated with an outcome (Kane et al, ). We used fuzzy set QCA (fsQCA), a specific type of QCA, to explore how different combinations of these facility characteristics (termed “conditions”) were associated with perceived capability for implementing mental health counselling across the various PHC sites.…”
Section: Methodsmentioning
confidence: 99%
“…We used fuzzy set QCA (fsQCA), a specific type of QCA, to explore how different combinations of these facility characteristics (termed “conditions”) were associated with perceived capability for implementing mental health counselling across the various PHC sites. In contrast to crisp set QCA which treats the outcome as a dichotomous variable that is either in (1) or out (0) of the set, fuzzy set QCA treats the outcome as a continuous variable with values ranging between 0 (poor) and 1 (good), thereby allowing for a granulated understanding of perceived implementation capability (Backhans, Mosedale, Bruce, Whitehead, & Burstrom, ; Kane et al, ). To prepare the data for analysis, we calibrated it by assigning each facility (case) a value between 0 (completely out of the set) and 1 (completely in the set) for every condition and the outcome.…”
Section: Methodsmentioning
confidence: 99%
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“…18 Programs such as CPPW involve multiple components that may work together, and different program models can lead to success. This method accommodates the complexity associated with evaluating such programs.…”
Section: Methodsmentioning
confidence: 99%