ArticleAIDS and behavior2026
Detailed HIV Self-Testing Patterns Derived from Paradata in the mLab App Clinical Trial.
Article in AIDS and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Exploring digital health user engagement: General app usage patterns from a clinical trial with the mLab App.PLOS digital health · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Self-testing is a critical component of public health initiatives aimed at slowing and stopping the spread of HIV. It has the promise of accessibility, reliability, and convenience, and because of the benefits derived from its inherent privacy, self-testing may overcome the barriers associated with HIV screening with at-risk populations. Still, questions remain about whether and how self-testing can adequately link patients to care and engage them with other interventions when needed. This presents an opportunity for digital platforms to bridge the gap, connecting patients with the HIV continuum of care. During a recent clinical trial of the mLab App, a mobile health intervention designed to increase HIV testing rates, we collected screen-level paradata-detailed logs of user interactions within the application-focusing specifically on user behavior during the test-result interpretation workflow. Among enrolled participants, 330 HIV self-tests were completed in the app, with 74.2% occurring within the scheduled testing window. Three post-timer screens (Preview Test, Upload Picture, and Visual Result) accounted for 60.6% of incomplete testing sessions, highlighting friction points in the result interpretation workflow. Users who experienced discordant automated results (i.e., when the app's automated interpretation differed from the user's visual inspection) demonstrated reduced subsequent engagement but did not significantly alter future test-taking behavior. These findings identify critical moments in the HIV self-testing workflow and provide actionable insights for improving the design of digital tools that support accurate testing and linkage to care.
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Registered trials
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