A Previsit Mobile Health App (Health-E You/Salud iTu) for Male Adolescents to Promote Sexual and Reproductive Health Care Receipt: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Male adolescents have significant sexual and reproductive health (SRH) needs and, despite the existence of national guidelines, their SRH care receipt remains poor. Technology-based interventions have been shown to successfully support adolescents' SRH; however, they have primarily focused on female individuals. To date, no such solutions support comprehensive SRH care delivery for male adolescents in primary care settings. Health-E You/Salud iTu (Health-E You) is a mobile web app that was originally designed for female youth and has proven to be effective in improving contraceptive care delivery and use. Adolescents access the app ahead of a clinic appointment, which contains initial screening questions, interactive knowledge items, and contraception decision support with tailored recommendations based on the users' input. The app then provides clinicians with a summary of patients' recommended SRH care. OBJECTIVE: This study aims to adapt Health-E You for use with diverse groups of male adolescents presenting for care. This protocol describes the development, testing, and evaluation of Health-E You for male youth. METHODS: This study consists of 2 stages. Stage 1 involves formative research, design, and user testing of Health-E You for male adolescents. Specifically, we implemented a youth-centered design process, using multiple rounds of qualitative data collection and engaging youth and clinician advisors to design the Health-E You app from April 2023 through April 2024. From May 2025, for approximately 6 months, we are conducting beta testing of the app with youth and its output with clinicians. Transcripts of interviews and focus groups from stage 1 will be analyzed using deductive and inductive thematic analysis to identify knowledge and skill gaps for the app to address as well as desired app features. Quantitative data will be analyzed using descriptive statistics. Stage 2 will involve a stepped-wedge cluster randomized controlled trial with 2752 participants in 8 primary care settings across the United States to assess the impact of Health-E You on sexually active male adolescents' SRH care receipt and condom use. Data will be analyzed with an intention-to-treat approach using separate mixed models for each study outcome with a random intercept to reflect clustering of patients within clinics, adjusted for clinic size. RESULTS: Results will include qualitative data on male adolescents' and clinicians' perspectives on SRH care receipt and delivery, respectively, and their preferences for app design. User testing will provide qualitative and quantitative data on the feasibility, acceptability, and usability of Health-E You in clinical settings. The efficacy trial will evaluate the extent to which the app improves SRH care receipt and condom use among sexually active male adolescents. CONCLUSIONS: The findings from this study will inform future technology-based interventions for male adolescents and improve male adolescents' SRH care receipt in primary care. TRIAL REGISTRATION: ClinicalTrials.gov NCT06525064; https://www.clinicaltrials.gov/study/NCT06525064. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/77780.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,041 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,004 |
| Méta-épidémiologie (sens large) | 0,012 | 0,006 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,008 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,113 | 0,017 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».