ArticleBMJ open2026
Evolving roles and impacts of digital health tools in HIV prevention efforts in Africa: a scoping review protocol.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWith the proliferation of digital technology, the health sector, like other sectors of society, has increasingly adopted digital technologies, resulting in a dynamic landscape where the roles and impacts of digital health tools in different contexts are constantly evolving. This integration of digital technology into the health space has extended into the field of HIV prevention, ushering in new possibilities and challenges. However, review studies documenting the evolving use of digital health tools in HIV prevention are scant, particularly in regions with many low- and middle-income countries, such as in Africa, which have some of the highest HIV prevalence and incidence rates in the world. METHODS AND ANALYSIS: This scoping review will follow the Joanna Briggs Institute (JBI) 2020 guidelines for methodological rigour and will be reported using Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR). Relevant published literature will be searched using a combination of keywords, Boolean terms and Medical Subject Headings in the following databases: CINAHL, Medline, Web of Science, Cochrane Library, Scopus, PubMed, WHO Digital Health ATLAS and Health Source with no date limits for the studies chosen. The Joint United Nations Programme on HIV/AIDS (UNAIDS) website and the reference lists of selected articles will also be used for backward searching, and Google Scholar will be used for forward citation tracking. The search strategy will be formulated following the guidelines provided by the Peer review of Electronic Search Strategies statement for peer assessment of electronic search strategies. Two reviewers will independently assess the references to ensure that they align with the predetermined eligibility criteria. Subsequently, the data from the included studies, published between January 2004 and January 2026, reflecting the period in which digital health innovations have rapidly expanded in Africa, will be extracted and any discrepancies resolved using a third reviewer. Thematic analysis will be used to analyse the data, and the findings will be reported using both tables and figures. The PRISMA-ScR will be followed to report this study's results. Quality appraisal of the included studies will be done using the mixed methods appraisal tool V.2018. ETHICS AND DISSEMINATION: This study does not involve human participants and only reviews existing literature in the public domain, and therefore ethical approval was not required. Our intention is to disseminate our research findings through a diverse range of channels, including peer-reviewed journals, conferences and webinars.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.