Evidence mapPaperPMID 41617201Full record

ArticleApplied clinical informatics2026

Optimizing HIV Care Engagement: Usability of a mHealth App for Identifying and Retaining Individuals with Nonviral Suppression in Digital Cohort.

Fabiana Cristina Dos Santos, Sophia Mclnerney, Miya C Tate, Aadia Rana, D Scott Batey, Rebecca Schnall

Abstract read
In one paragraph

Article in Applied clinical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fabiana Cristina Dos SantosSchool of Nursing, Purdue University, West Lafayette, Indiana, United States.ORCID 0000-0001-9780-4336
Sophia MclnerneySchool of Nursing, Columbia University, New York, New York, United States.
Miya C TateSchool of Social Work, Tulane University, New Orleans, Louisiana, United States.
Aadia RanaHeersink School of Medicine, University of Alabama-Birmingham, Birmingham, Alabama, United States.
D Scott BateySchool of Social Work, Tulane University, New Orleans, Louisiana, United States.
Rebecca SchnallSchool of Nursing, Columbia University, New York, New York, United States.

Funding

NIAID NIH HHS UG3 AI176566
6 · The paper itself

Abstract

Drive to Zero is a mobile health application (app) designed to identify and retain people with HIV (PWH) who have experienced challenges with achieving or maintaining viral suppression. The app targets PWH who have lacked documented HIV care in the past months and are experiencing medication adherence barriers. Features include an interactive chat for communicating with the study team and access to educational resources to support care engagement and health management.This usability study aimed to assess the Drive to Zero app's ease of use and interface design through expert heuristic evaluation and end-user testing.Usability was evaluated through two approaches: heuristic evaluations conducted by five informatics experts following Nielsen's usability principles, and end-user testing with 20 PWH using the validated Post-Study System Usability Questionnaire and qualitative interviews to collect feedback on app functionality and user experience.Heuristic experts and end-users demonstrated satisfaction with the app's appearance, reporting that it has a simple and intuitive interface for identifying and retaining PWH, which will assist them with study engagement and ultimately reengage with HIV care. However, participants highlighted areas needing improvement, suggesting better accessibility of "home" and "help" buttons to improve user control and a more detailed explanation of the incentive program to enhance user engagement and retention.Usability evaluations provided valuable insights into the Drive to Zero app's design. Areas for improvement were enhancing user controls and improving the readability of the incentive program. These findings will guide iterative refinements, ensuring that future versions of the app improve the usability and acceptability of its target audience.

Indexed as

HIV InfectionsMobile ApplicationsTelemedicineCohort StudiesDigital HealthFemaleHumansMaleUser-Computer Interface

Identifiers

PMID41617201
PMCPMC12858313

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.