Evidence map›Paper›PMID 42447457›Full record

ArticleJMIR public health and surveillance2026

Preferences for mHealth Features to Support Engagement in the HIV Preexposure Prophylaxis Cascade Among Men Who Have Sex With Men in Peru: Cross-Sectional Online Survey.

Jorge A Gallardo-Cartagena, Dora Leidy Geraldine German-Quiñones, Kelika Anne Konda, Susan Buchbinder, Jorge Sanchez, Frederick L Altice

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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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.

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4 · The record

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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.

Jorge A Gallardo-CartagenaCentro de Investigaciones Tecnológicas, Biomédicas y Medioambientales, Universidad Nacional Mayor de San Marcos, José Santos Chocano 199, Bellavista, Callao, 07006, Peru, +51 950306764.ORCID 0000-0001-5142-1954
Dora Leidy Geraldine German-QuiñonesCentro de Investigaciones Tecnológicas, Biomédicas y Medioambientales, Universidad Nacional Mayor de San Marcos, José Santos Chocano 199, Bellavista, Callao, 07006, Peru, +51 950306764.ORCID 0009-0008-0475-1123
Kelika Anne KondaKeck School of Medicine, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0003-2836-0174
Susan BuchbinderSan Francisco Department of Public Health, San Francisco, CA, United States.ORCID 0000-0003-2404-0712
Jorge SanchezCentro de Investigaciones Tecnológicas, Biomédicas y Medioambientales, Universidad Nacional Mayor de San Marcos, José Santos Chocano 199, Bellavista, Callao, 07006, Peru, +51 950306764.ORCID 0000-0001-6020-8266
Frederick L AlticeCenter for Interdisciplinary Research on AIDS, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0002-7860-693X

Funding

San Francisco Vaccine and Prevention UnitUM1AI069496 · NIAID · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI Susan Buchbinder, Diane V Havlir · 2012 to 2026
$30.5M
Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Innovations in Implementing Decentralized HIV Services in PeruR01AI177082 · NIAID · YALE UNIVERSITY · PI FREDERICK LEWIS ALTICE · 2023 to 2026
$2.8M
FIC NIH HHS D43 TW010540NIAID NIH HHS R01 AI177082NIAID NIH HHS UM1 AI069496
6 · The paper itself

Abstract

Background: Despite policy-level progress, implementation of oral HIV preexposure prophylaxis (PrEP) remains limited in Latin America. In Peru, men who have sex with men (MSM) account for most new HIV diagnoses, yet uptake remains low. Widespread smartphone ownership and the use of digital platforms present an opportunity to expand access through mobile health (mHealth) interventions. However, limited data exist on user preferences to guide the design of mHealth tools in Spanish-speaking Latin American settings. Objective: This study aimed to assess preferences for mHealth features to support PrEP engagement among Peruvian MSM and their association with PrEP cascade stages. Methods: We conducted a cross-sectional online survey (June-August 2023) among 600 HIV-negative MSM residing in Peru (median age 29, IQR 24-35 years), recruited via Facebook, Instagram, WhatsApp (Meta Platforms, Inc), and Grindr (Grindr LLC). The survey assessed communication platform use, interest in mHealth features measured on a 4-point Likert scale, and PrEP cascade stages. Exploratory factor analysis (principal axis factoring with Promax rotation) identified domains of mHealth preferences, from which median domain scores were calculated. Bivariate analyses used chi-square tests and Wilcoxon rank sum tests. Multivariable logistic regression models (α=.05), with covariates selected using stepwise procedures from candidate sociodemographic and behavioral variables, estimated associations between each domain score and PrEP cascade stages, each modeled as a separate binary outcome. Results: Nearly all participants (589/600, 98.2%) reported owning a smartphone. WhatsApp was the most frequently used and preferred platform for PrEP support, with 547 (91.2%) reporting frequent use and 302 (50.3%) ranking it first. Exploratory factor analysis identified three mHealth preference domains: informational support (Cronbach α=0.94), self-management tools (Cronbach α=0.94), and interactive communication (Cronbach α=0.91). Among participants, 483 (80.5%) had decided to use PrEP, 190 (31.7%) had sought PrEP, and 109 (18.2%) had initiated PrEP. Higher informational support was associated with the decision to use PrEP (adjusted odds ratio [aOR] 4.54, 95% CI 3.36-6.28; P<.001), seeking PrEP (aOR 1.43, 95% CI 1.10-1.89; P=.001), and PrEP initiation (aOR 1.64, 95% CI 1.16-2.44; P=.009). Self-management tools showed similar associations with the decision to use PrEP (aOR 3.23, 95% CI 2.51-4.22; P<.001), seeking PrEP (aOR 1.34, 95% CI 1.06-1.70; P=.02), and PrEP initiation (aOR 1.49, 95% CI 1.11-2.05; P=.01). Interactive communication was associated with the decision to use PrEP (aOR 2.74, 95% CI 2.15-3.53; P<.001) but not with initiation. Conclusions: Preferences for mHealth features were associated with engagement at multiple stages of the PrEP cascade among MSM in Peru. Informational support features demonstrated the most consistent associations with cascade engagement. These findings provide empirical evidence on user-prioritized digital functions that could support early engagement in HIV prevention services in a Latin American implementation context. Integrating culturally tailored mHealth tools within widely used platforms such as WhatsApp may strengthen early PrEP cascade engagement and support scalable digital strategies for HIV prevention in Peru and similar settings.

Indexed as

HIV InfectionsHomosexuality, MalePatient PreferencePre-Exposure ProphylaxisTelemedicineAdultCross-Sectional StudiesDigital HealthHumansMalePeruSurveys and QuestionnairesYoung Adultdigital healthHIV preventionhuman-centered designimplementation scienceLatin Americamen who have sex with menmHealthmobile healthPerupreexposure prophylaxissmartphones

Identifiers

PMID42447457
PMCPMC13367761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.