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Innovation and implementation determinants of HIV testing and linkage-to-care in the U.S.: a systematic review
Alithia Zamantakis1,2, James L Merle3, Artur Afln Queiroz1,4,5
1Institute for Sexual and Gender Minority Health and Wellbeing, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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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