{"doi":"10.1017/cts.2022.426","title":"Measuring capacity to use evidence-based interventions in community-based organizations: A comprehensive, scoping review","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.","journal":"Journal of Clinical and Translational Science","year":2022,"id":256558,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":19,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9521,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":370887,"name":"Sitara L Mahtani","orcid":"0009-0002-4132-7491","position":1,"is_corresponding":false},{"id":906400,"name":"Shinelle Kirk","orcid":null,"position":2,"is_corresponding":false},{"id":231402,"name":"Michelle Lee","orcid":"0000-0003-3854-1294","position":3,"is_corresponding":false},{"id":906401,"name":"Maggie Weese","orcid":null,"position":4,"is_corresponding":false},{"id":291343,"name":"Carol Mita","orcid":"0000-0003-3059-1369","position":5,"is_corresponding":false},{"id":411137,"name":"Heather M. Brandt","orcid":"0000-0003-1066-2879","position":6,"is_corresponding":false},{"id":370885,"name":"Shoba Ramanadhan","orcid":"0000-0003-0650-9433","position":0,"is_corresponding":true}],"reference_count":143,"raw_metadata":null,"created_at":"2026-07-19T00:25:25.728895Z","pmid":"36003212","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}