2021
DOI: 10.1370/afm.2668
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Improving Smoking and Blood Pressure Outcomes: The Interplay Between Operational Changes and Local Context

Abstract: PURPOSE We undertook a study to identify conditions and operational changes linked to improvements in smoking and blood pressure (BP) outcomes in primary care. METHODSWe purposively sampled and interviewed practice staff (eg, office managers, clinicians) from a subset of 104 practices participating in Evidence-NOW-a multisite cardiovascular disease prevention initiative. We calculated Clinical Quality Measure improvements, with targets of 10-point or greater absolute improvements in the proportion of patients … Show more

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Cited by 20 publications
(23 citation statements)
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References 42 publications
(41 reference statements)
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“…We used CNA, a new cross-case method, to identify the crucial difference-making conditions for the outcome of low COVID-19 vaccination rates [ 19 , 22 ]. CCMs, including CNA, are increasingly being used in health services research and implementation and dissemination research [ 23 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…We used CNA, a new cross-case method, to identify the crucial difference-making conditions for the outcome of low COVID-19 vaccination rates [ 19 , 22 ]. CCMs, including CNA, are increasingly being used in health services research and implementation and dissemination research [ 23 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…Unlike traditional variable-oriented methods, configurational analysis retains a persistent link to individual cases, applying formal logic to develop models identifying the specific bundles of conditions that distinguish cases with an outcome of interest from those without. Configurational analysis in general-and Coincidence Analysis in particular-has appeared across a wide variety of health-related implementation contexts in the published literature since 2020 (Cohen et al, 2021;Coury et al, 2021;Hickman et al, 2020;Miech et al, 2021;Petrik et al, 2020;Whitaker et al, 2020;Yakovchenko et al, 2020).…”
Section: The Present Studymentioning
confidence: 99%
“…The original dataset had over 50 factors based on the FBO-CI indicators described above. To reduce these data, we implemented a configurational approach to factor selection described in detail elsewhere (Cohen et al, 2021;Coury et al, 2021;Hickman et al, 2020;Petrik et al, 2020;Yakovchenko et al, 2020). Briefly, we began by using the "minimally sufficient conditions" (msc) function within the R package "cna" to comprehensively scan the full original dataset in order to identify configurations of conditions with strong connections to the outcomes (e.g., reach and time to completion).…”
Section: Factor Selectionmentioning
confidence: 99%
“… 44 The use of configurational methods is increasing within health services research in general and in implementation science in particular. 37 The pairing of logistic regression and configurational methods may be particularly fruitful for implementation science in terms of describing difference-making patterns and identifying factors associated with an outcome at a particular site, especially if the outcome is uncommon or when there are few sites. Configurational methods are also increasingly used in mixed methods analyses; given the focus on cases, the persistent link to cases present throughout configurational analysis allows investigators to examine qualitative data from key illustrative cases.…”
Section: Discussionmentioning
confidence: 99%