2016
DOI: 10.1097/qai.0000000000001055
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Evaluation of a Systems Analysis and Improvement Approach to Optimize Prevention of Mother-To-Child Transmission of HIV Using the Consolidated Framework for Implementation Research

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Cited by 44 publications
(59 citation statements)
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“…CFIR constructs can be scored quantitatively and compared across cases according to strength and valence [44]. Quantitative scoring of constructs was employed in three studies [19,24,40]. Another study created a quantitative questionnaire to align with CFIR constructs, in which participants were asked to rate CFIR constructs on a 5-point Likert scale from "very unimportant" to "very important" for implementation success [10].…”
Section: Systematic Reviewmentioning
confidence: 99%
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“…CFIR constructs can be scored quantitatively and compared across cases according to strength and valence [44]. Quantitative scoring of constructs was employed in three studies [19,24,40]. Another study created a quantitative questionnaire to align with CFIR constructs, in which participants were asked to rate CFIR constructs on a 5-point Likert scale from "very unimportant" to "very important" for implementation success [10].…”
Section: Systematic Reviewmentioning
confidence: 99%
“…Damschroder et al suggest that when the CFIR is applied post-implementation, it should be used to link determinants of implementation to targeted outcomes (e.g., intervention acceptability or effectiveness) [2]. However, only 6 (18%) studies reporting linking outcomes to specific CFIR constructs, all of which took place mid-or post-implementation [10,17,19,21,24,40]. These papers identified relationships between specific CFIR constructs and measures of high and low fidelity to the intervention [19], measures of high and low uptake of the intervention [21,24,40], successful implementation generally [10], as well as variations in implementation success, including successes in intervention management, supervision, and facilitation [17].…”
Section: Systematic Reviewmentioning
confidence: 99%
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“…The systems analysis and improvement approach (SAIA) is designed to optimize cascade performance, is feasible for frontline healthcare workers and managers, and may be applicable to optimize the hypertension testing and treatment cascade for PLHIV across multiple contexts. SAIA, an evidence-based strategy, which is flexible to local context, supports frontline facility staff to gain a comprehensive view of their complex delivery system, identify and prioritize areas to improve, and iteratively test modifications to increase system outputs and patient outcomes [36,37]. Health workers in the original cluster randomized trial that tested the intervention to improve prevention of mother-to-child HIV transmission (PMTCT) services noted that SAIA stimulated communication, consensus decision-making, and accountability across multiple service points in their facility (e.g., patient care, pharmacy, laboratory services); was accessible by relying on routinely collected data to guide decision-making in a real-world service delivery environment; and resulted in significant improvements in service delivery outcomes [37].…”
Section: Contributions To the Literaturementioning
confidence: 99%
“…Case memos will be written and three analysts will assign ratings for each construct. Using a rating process previously applied to the CFIR [36,59], ratings will reflect the positive or negative influence (valence) and the strength of each construct. Constructs will be coded as missing too much data (M), not (0), weakly (+ 1/ − 1), or strongly (+ 2/− 2) distinguishing low/high performance.…”
Section: Consolidated Framework For Implementation Researchmentioning
confidence: 99%