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Record W4408403477 · doi:10.2196/66941

Intervention With WhatsApp Messaging to Compare the Effect of Self-Designed Messages and Standardized Messages in Adherence to Antiretroviral Treatment in Young People Living With HIV in a Hospital in Lima, Peru: Protocol for a Nonblinded Randomized Controlled Trial

2025· article· en· W4408403477 on OpenAlexvenueno aff
Jeffrey Freidenson-Bejar, Dianne Espinoza, Rodrigo Calderon-Flores, Fernando Mejía, Elsa González-Lagos

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersFogarty International Center
KeywordsText messagingIntervention (counseling)Human immunodeficiency virus (HIV)Text messageMedicineFamily medicineAntiretroviral therapyGerontologyPsychologyNursingViral loadInternet privacyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Young people living with HIV face challenges in consistently adhering to antiretroviral therapy (ART). Although mobile health interventions, particularly those using SMS text messaging, have been implemented to improve ART adherence, many lack a focus on specific behavioral mechanisms. Interventions incorporating behavioral change techniques (BCTs), especially those emphasizing customization, may enhance effectiveness. WhatsApp offers potential for delivering tailored, behaviorally grounded interventions with diverse communication features. We hypothesize that WhatsApp messages self-designed by participants, with spontaneous targeting of BCTs, could be more effective than standard WhatsApp messages designed by the researchers to improve ART adherence. OBJECTIVE: The objective of this study is to evaluate the effectiveness of WhatsApp messages created by participants (self-designed) compared to WhatsApp messages designed by the researchers (standardized) over adherence to ART at 16 weeks of intervention in young people living with HIV who receive HIV care under routine conditions at a public hospital in Lima, Peru. METHODS: A 2-arm randomized controlled trial with a parallel assignment of 1:1, with no blinding of study intervention, was performed. Eligible participants are consenting people living with HIV aged 18-29 years who receive HIV care at the study center and whose mobile phones support WhatsApp. Following informed consent and a baseline survey on clinical and personal preferences (eg, timing and frequency of messages), participants are randomized to the control group (messages designed by the research team) or to the experimental group (messages designed by participants), stratified by sex, educational level, current ART intake, and history of ART abandonment. Participants in both groups receive up to 3 WhatsApp messages per week for 16 weeks. ART adherence, the primary outcome, is measured using the Simplified Medication Adherence Questionnaire (SMAQ) at 4, 8, 12, and 16 weeks. Monthly feedback questionnaires on user experience are also administered. The WhatsApp chat format allows two-way communication between participants and the research team throughout the study. We will compare ART adherence between 2 groups at 16 weeks under the intention-to-treat principle, with no interim analysis planned. Based on an estimated 10% difference in adherence, 78.9% power, and a 2-sided α of .05, the target sample size was set at 120, later increased to 131 to include a 2-week pilot phase. RESULTS: In March 2024, we started enrolling and randomizing participants. The study follow-up will continue until the last participant completes 16 weeks of intervention (November 2024). As of February 2025, we are in the process of data curation. CONCLUSIONS: This trial will compare the effectiveness of standardized vs self-designed WhatsApp messages on ART adherence measured at 16 weeks among young people living with HIV receiving routine care in a low-resource setting in Lima. TRIAL REGISTRATION: ClinicalTrials.gov NCT06500013; https://clinicaltrials.gov/ct2/show/NCT06500013. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/66941.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.016
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0350.004

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.

Opus teacher head0.057
GPT teacher head0.534
Teacher spread0.478 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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