Measuring capacity to use evidence-based interventions in community-based organizations: A comprehensive, scoping review

被引:5
|
作者
Ramanadhan, Shoba [1 ]
Mahtani, Sitara L. [2 ]
Kirk, Shinelle [3 ]
Lee, Michelle [4 ]
Weese, Maggie [1 ]
Mita, Carol [5 ]
Brandt, Heather M. [6 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, Boston, MA USA
[2] Dana Farber Canc Inst, Boston, MA 02115 USA
[3] Boston Med Ctr, Boston, MA USA
[4] Univ Calif San Francisco, San Francisco, CA 94143 USA
[5] Harvard Med Sch, Countway Lib, Boston, MA 02115 USA
[6] St Jude Childrens Res Hosp, 332 N Lauderdale St, Memphis, TN 38105 USA
基金
美国国家卫生研究院;
关键词
Community-based organizations; capacity-building; measurement; evidence-based interventions; implementation science; EVIDENCE-BASED PROGRAMS; INTERACTIVE SYSTEMS FRAMEWORK; TEEN PREGNANCY-PREVENTION; TECHNICAL ASSISTANCE PROVIDERS; INFORMED DECISION-MAKING; PUBLIC-HEALTH; BUILDING CAPACITY; COLLABORATIVE RELATIONSHIP; BEHAVIORAL INTERVENTIONS; TRANSLATIONAL RESEARCH;
D O I
10.1017/cts.2022.426
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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.
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收藏
页数:15
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