Participatory Development and Concept Testing of mHealth Messaging to Support Care Engagement and Antiretroviral Therapy Adherence for Women Living With HIV in the Southern United States: Focus Group Study
Bibliographic record
Abstract
Background: Women living with HIV in the Southern United States, or the South, face persistent and overlapping challenges to care engagement and antiretroviral therapy adherence, including HIV-related stigma, poverty, and inequitable access to health care. While mobile health (mHealth) interventions show promise for enhancing self-management and care engagement among people living with HIV, interventions tailored to women living with HIV remain limited, particularly those developed through participatory approaches that center their lived experiences. Objective: This study sought to evaluate the acceptability, comprehensibility, and personal relevance of targeted health messages developed for a proposed mHealth app tailored to women living with HIV in the South. In addition, it explored participants' perceptions of the feasibility and desirability of the proposed intervention. Methods: This study represents phase 3 of a multistage, mixed methods project. Message content was informed by earlier phases, which included individual interviews, surveys, perceptual mapping with women living with HIV, and input from a community and clinician advisory board. In this phase, 3 focus groups (2 virtual and 1 in person) were conducted with 30 women living with HIV recruited from Southern HIV clinics and community organizations. Participants reviewed prototype wireframes and health messages, including SMS text message-style content, and provided feedback on all content. Data were analyzed using conventional content analysis. Results: Participants expressed strong interest in the proposed mHealth app and emphasized the importance of health messaging that is clear, supportive, and personally meaningful. Four key categories emerged: (1) acceptability of a tailored mHealth app, with participants noting the value of privacy, accessibility, and convenience; (2) acceptability of message content, including preferences for affirming, uplifting language and images; (3) personal relevance, particularly for messages addressing stigma, spirituality, family, and empowerment; and (4) comprehensibility, highlighting the need for plain language and visual clarity. Conclusions: These findings support the development of a tailored mHealth intervention for women living with HIV in the South. Co-designed messages that center affirmation, spirituality, and real-life challenges were perceived as acceptable, comprehensible, and highly relevant. Future work will focus on refining the content and prototype testing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".