Evaluating a smartphone intervention to improve HIV prevention and care outcomes: results from the HealthMPowerment national randomized controlled trial

HealthMPowerment (HMP) is a digital intervention designed to improve HIV-related outcomes among young Black and Latinx men who have sex with men (YBLMSM) and transgender women (TW). We conducted a 12-month randomized controlled trial to evaluate HMP’s impact on routine HIV testing among participants who were HIV-negative or of unknown HIV status and consistent undetectable viral load (CUVL) among people living with HIV (PLHIV). We also examined intervention engagement, acceptability, and implementation fidelity of peer-referral network activation. A total of 750 participants, aged 15 to 29, who identified as YBLMSM or TW and reported condomless anal sex were enrolled in a U.S.-based trial. Participants were stratified by HIV status and randomized to an Information-Only Control Arm or one of two versions of the full-featured HMP app differing in recruitment and clustering strategy (Researcher-Created Networks vs. Peer-Referred Networks, which allowed participants to invite peers into the intervention). After excluding 10 non-randomized peer-referred participants, the primary analytic sample comprised 740 randomized participants. Among 516 randomized participants who were HIV-negative or of unknown HIV status at baseline, routine HIV testing was defined as two or more self-reported HIV tests at least three months apart. Among 224 randomized PLHIV, CUVL at 12 months was assessed using self-reported viral load status. Secondary analyses examined longitudinal viral suppression trajectories using generalized estimating equations (GEE), and implementation analyses described peer-referral activation. Of the 516 randomized HIV-negative or HIV-unknown participants, 16 reported a positive HIV test during the study period. Among the 500 who remained HIV-negative throughout (after removing seroconversions), 89.6% ( n = 448) had ever tested for HIV, and 69.4% ( n = 347) achieved routine testing (two or more tests ≥ 3 months apart) over 12 months. Routine HIV testing did not differ significantly between the Researcher-Created HMP Network Arm and the Information-Only Control Arm (66.0% vs. 72.8%; OR = 0.73, 95% CI: 0.50–1.06, p = .099). Among PLHIV, self-reported CUVL at 12 months was 60.8% in the Information-Only Control Arm, 80.0% in the Researcher-Created HMP Network Arm, and 72.0% in the Peer-Referred HMP Network Arm. In unadjusted endpoint analyses, participants in the Researcher-Created HMP Network Arm had higher odds of CUVL than those in the Information-Only Control Arm (OR = 2.58, 95% CI: 1.24–5.37, p =.011). However, after adjusting for baseline viral suppression, age, and income, study arm was no longer significantly associated with CUVL for either the Researcher-Created HMP Network Arm (adjusted OR = 1.98, 95% CI: 0.84–4.65, p =.117) or the Peer-Referred HMP Network Arm (adjusted OR = 1.44, 95% CI: 0.64–3.24, p =.385). Longitudinal GEE models did not detect significant between-arm differences in viral suppression trajectories over time. Median platform use was modest at approximately 24 min across 12 months. The peer-referral strategy showed limited implementation fidelity, with only 10 non-randomized peer-referred participants enrolled. HMP did not improve routine HIV testing relative to the Information-Only Control Arm. Among PLHIV, unadjusted 12-month CUVL differences favored the Researcher-Created HMP Network Arm, but these differences were no longer significant after adjustment for baseline viral suppression, age, and income, and longitudinal analyses did not show significant between-arm differences over time. These findings suggest that baseline viral suppression largely explained the observed endpoint differences and limit causal interpretation regarding intervention effects. The peer-referral findings may be best interpreted as an implementation fidelity challenge rather than evidence that peer-driven networks are ineffective. Future digital HIV intervention trials should prioritize objective outcome measures, strong implementation fidelity efforts, and lower-barrier strategies for activating digital social support networks. NCT03678181 Registered on September 18, 2018.

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Journal
BMC Public Health
Published
2026-09-19
DOI
https://doi.org/10.1186/s12889-026-29448-w
Primary Topic
Mobile Health and mHealth Applications
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article
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article

Evaluating a smartphone intervention to improve HIV prevention and care outcomes: results from the HealthMPowerment national randomized controlled trial

Sabina Hirshfield, Marta I. Mulawa, Seul Ki Choi, José A. Bauermeister et al.
BMC Public Health
Mobile Health and mHealth Applications
article

Evaluating a smartphone intervention to improve HIV prevention and care outcomes: results from the HealthMPowerment national randomized controlled trial

Sabina Hirshfield, Marta I. Mulawa, Seul Ki Choi, José A. Bauermeister, Subhash Aryal, Nickie Buckner, Lisa B. Hightow-Weidman, Dovie L. Watson, Adrian Williams, Willey Lin, Kathryn E. Muessig, Aimee E. Rochelle, Carissa Crews
article en

Abstract

HealthMPowerment (HMP) is a digital intervention designed to improve HIV-related outcomes among young Black and Latinx men who have sex with men (YBLMSM) and transgender women (TW). We conducted a 12-month randomized controlled trial to evaluate HMP’s impact on routine HIV testing among participants who were HIV-negative or of unknown HIV status and consistent undetectable viral load (CUVL) among people living with HIV (PLHIV). We also examined intervention engagement, acceptability, and implementation fidelity of peer-referral network activation. A total of 750 participants, aged 15 to 29, who identified as YBLMSM or TW and reported condomless anal sex were enrolled in a U.S.-based trial. Participants were stratified by HIV status and randomized to an Information-Only Control Arm or one of two versions of the full-featured HMP app differing in recruitment and clustering strategy (Researcher-Created Networks vs. Peer-Referred Networks, which allowed participants to invite peers into the intervention). After excluding 10 non-randomized peer-referred participants, the primary analytic sample comprised 740 randomized participants. Among 516 randomized participants who were HIV-negative or of unknown HIV status at baseline, routine HIV testing was defined as two or more self-reported HIV tests at least three months apart. Among 224 randomized PLHIV, CUVL at 12 months was assessed using self-reported viral load status. Secondary analyses examined longitudinal viral suppression trajectories using generalized estimating equations (GEE), and implementation analyses described peer-referral activation. Of the 516 randomized HIV-negative or HIV-unknown participants, 16 reported a positive HIV test during the study period. Among the 500 who remained HIV-negative throughout (after removing seroconversions), 89.6% ( n = 448) had ever tested for HIV, and 69.4% ( n = 347) achieved routine testing (two or more tests ≥ 3 months apart) over 12 months. Routine HIV testing did not differ significantly between the Researcher-Created HMP Network Arm and the Information-Only Control Arm (66.0% vs. 72.8%; OR = 0.73, 95% CI: 0.50–1.06, p = .099). Among PLHIV, self-reported CUVL at 12 months was 60.8% in the Information-Only Control Arm, 80.0% in the Researcher-Created HMP Network Arm, and 72.0% in the Peer-Referred HMP Network Arm. In unadjusted endpoint analyses, participants in the Researcher-Created HMP Network Arm had higher odds of CUVL than those in the Information-Only Control Arm (OR = 2.58, 95% CI: 1.24–5.37, p =.011). However, after adjusting for baseline viral suppression, age, and income, study arm was no longer significantly associated with CUVL for either the Researcher-Created HMP Network Arm (adjusted OR = 1.98, 95% CI: 0.84–4.65, p =.117) or the Peer-Referred HMP Network Arm (adjusted OR = 1.44, 95% CI: 0.64–3.24, p =.385). Longitudinal GEE models did not detect significant between-arm differences in viral suppression trajectories over time. Median platform use was modest at approximately 24 min across 12 months. The peer-referral strategy showed limited implementation fidelity, with only 10 non-randomized peer-referred participants enrolled. HMP did not improve routine HIV testing relative to the Information-Only Control Arm. Among PLHIV, unadjusted 12-month CUVL differences favored the Researcher-Created HMP Network Arm, but these differences were no longer significant after adjustment for baseline viral suppression, age, and income, and longitudinal analyses did not show significant between-arm differences over time. These findings suggest that baseline viral suppression largely explained the observed endpoint differences and limit causal interpretation regarding intervention effects. The peer-referral findings may be best interpreted as an implementation fidelity challenge rather than evidence that peer-driven networks are ineffective. Future digital HIV intervention trials should prioritize objective outcome measures, strong implementation fidelity efforts, and lower-barrier strategies for activating digital social support networks. NCT03678181 Registered on September 18, 2018.

BMC Public Health
Florida State University (US), Johns Hopkins University (US), Duke University (US), SUNY Downstate Health Sciences University (US), American Standard (United States) (US), University of Pennsylvania (US)
National Institute on Minority Health and Health Disparities
Good health and well-being
Openalex Percentile: Top 6%
Mobile Health and mHealth Applications
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