Measuring capacity to use evidence-based interventions in community-based organizations: A comprehensive, scoping review. Issue 1 (11th July 2022)

• Record Type: Journal Article
• Authors: Ramanadhan, Shoba; Mahtani, Sitara L.; Kirk, Shinelle; Lee, Michelle; Weese, Maggie; Mita, Carol; Brandt, Heather M.
• Is Part Of: Journal of clinical and translational science. Volume 6:Issue 1(2022)
• Publication Date: 2022-07-11
• Subjects: Community-based organizations -- capacity-building -- measurement -- evidence-based interventions -- implementation science; Clinical medicine -- Research -- Periodicals; Medicine, Experimental -- Periodicals; Human experimentation in medicine -- Periodicals; 616.027
• DOI: 10.1017/cts.2022.426
• Languages: English
• ISSNs: 2059-8661

Abstract

Abstract: Introduction: Community-based organizations (CBOs) are well-positioned to incorporate research evidence, local expertise, and contextual factors to address health inequities. However, insufficient capacity limits use of evidence-based interventions (EBIs) in these settings. Capacity-building implementation strategies are popular, but a lack of standard models and validated measures hinders progress in the field. To advance the literature, we conducted a comprehensive scoping review. Methods: With a reference librarian, we executed a comprehensive search strategy of PubMed/Medline, Web of Science Core Collection, and EBSCO Global Health. We included articles that addressed implementation science, capacity-building, and CBOs. Of 5527 articles, 99 met our inclusion criteria, and we extracted data using a double-coding process Results: Of the 99 articles, 47% defined capacity explicitly, 31% defined it indirectly, and 21% did not define it. Common concepts in definitions were skills, knowledge/expertise, and resources. Of the 57 articles with quantitative analysis, 48 (82%) measured capacity, and 11 (23%) offered psychometric data for the capacity measures. Of the 99 studies, 40% focused exclusively on populations experiencing inequities and 22% included those populations to some extent. The bulk of the studies came from high-income countries. Conclusions: Implementation scientists should 1) be explicit about models and definitions of capacity and strategies for building capacity, 2) specify expected multi-level implementation outcomes, 3) develop and use validated measures for quantitative work, and 4) integrate equity considerations into the conceptualization and measurement of capacity-building efforts. With these refinements, we can ensure that the necessary supports reach CBO practitioners and critical partners for addressing health inequities.