Innovation and implementation determinants of HIV testing and linkage-to-care in the U.S.: a systematic review.

Alithia Zamantakis, James L Merle, Artur Afln Queiroz, Juan Pablo Zapata, Jasmine Deskins, Ana Michaela Pachicano, Melissa Mongrella, Dennis Li, Nanette Benbow, Carlos Gallo, J D Smith, Brian Mustanski
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Abstract

Objective: To identify innovation and implementation determinants of HIV testing, diagnosis, and linkage-to-care in the U.S.

Data sources and study setting: Between November 2020 and January 2022, a broad search strategy was employed in three literature databases: Ovid MEDLINE, PsycINFO, and Web of Science.

Study design: A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement.

Data collection/extraction methods: A team of master's and Ph.D.-level researchers screened eligible studies against the inclusion criteria and extracted the data using COVIDENCE software in pairs with consensus performed by a senior member of the team. Barriers and facilitators were extracted and analyzed according to the Consolidated Framework for Implementation Research (CFIR). Frequency of determinants across studies was mapped according to CFIR, valence, study design, delivery setting, unit of analysis, population of interest, region of the U.S., and year.

Results: We identified 1,739 implementation and innovation determinants from 186 articles. Most determinants were for HIV testing rather than linkage-to-care. Most determinants were identified in the inner setting and individuals domains of CFIR, with the fewest identified in the process and innovations domains. Determinants of providers were only slightly more frequently identified than determinants of recipients. However, determinants of organizations and systems were rarely identified.

Conclusion: This review provides a synthesis of innovation and implementation determinants of HIV testing and linkage-to-care using the most-cited implementation science (IS) framework, CFIR. This synthesis enables the larger field of HIV science to utilize IS in efforts to end the HIV epidemic and positions IS to consider the application of IS frameworks to fields like HIV.

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美国 HIV 检测和联系到护理的创新和实施决定因素:系统综述。
目标:数据来源和研究环境:2020 年 11 月至 2022 年 1 月期间,在三个文献数据库中采用了广泛的搜索策略:研究设计:数据收集/提取方法:由硕士和博士级别的研究人员组成的团队根据纳入标准筛选符合条件的研究,并使用 COVIDENCE 软件提取数据,由团队中的一名资深成员达成共识。根据实施研究综合框架(CFIR)提取并分析了障碍和促进因素。根据 CFIR、价值、研究设计、实施环境、分析单位、关注人群、美国地区和年份,对各项研究中决定因素的频率进行了映射:结果:我们从 186 篇文章中发现了 1739 个实施和创新决定因素。大多数决定因素都是针对 HIV 检测而非关怀链接的。大多数决定因素是在 CFIR 的内部环境和个人领域中发现的,而在过程和创新领域中发现的决定因素最少。服务提供者的决定因素被确定的频率略高于受助者的决定因素。然而,组织和系统的决定因素很少被发现:本综述使用被引用次数最多的实施科学(IS)框架 CFIR,对 HIV 检测和联系-关怀的创新和实施决定因素进行了综合分析。该综述使更广泛的艾滋病科学领域能够利用实施科学来结束艾滋病的流行,并使实施科学能够考虑将实施科学框架应用于艾滋病等领域。
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