Feasibility and Acceptability of a Digital Health Portal to Improve HIV Care Engagement Among Kenyan Youth: Mixed Methods Study
Notice bibliographique
Résumé
Background: Adolescents and young people aged 15-24 years in Kenya bear a disproportionate burden of HIV, necessitating innovative, youth-friendly approaches to improve care engagement. Digital solutions such as patient health portals (PHPs) offer scalable ways to enhance access, understanding, and support. Objective: This study aims to evaluate the feasibility and acceptability of a customized PHP tailored for Kenyan adolescents and young people living with HIV, and to explore participant preferences for features, content delivery modes, and privacy concerns. Methods: A cross-sectional, mixed methods feasibility study was conducted among 163 adolescents and young people recruited during psychosocial support group meetings across seven high-volume clinics in Kiambu and Kirinyaga counties in August 2021. Participants interacted with a prototype PHP through guided demonstrations and completed structured questionnaires assessing health literacy, digital readiness, feature preferences, emotional needs, and data security perceptions. Quantitative data were analyzed using descriptive and bivariate statistics. While qualitative data were also collected to inform portal development, this paper focuses exclusively on quantitative findings. Results: The median age was 18 (IQR 15-24) years, with 60% (98/163) female participants. Most participants were students (73/163, 45%) and had secondary-level education (83/163, 51%). Approximately 17% (27/163) participants reported difficulty understanding written medical information. A large majority (146/160, 91%) expressed interest in using a web-based portal, with 78% (124/159) participants rating it as easy to use. Weekly use was anticipated by 56% (90/161) of participants. Top-rated features included appointment scheduling (129/163, 79%), access to test results (129/163, 79%), and communication with the doctor (117/163, 72%). Emotional health tools like a mood tracker and PHQ-9 (Patient Health Questionnaire-9) screening were highly valued, with 59% (92/156) reporting difficulties coping emotionally with HIV. Concerns about data privacy were minimal, and 62% (99/159) were willing to share access with a trusted family member. No statistically significant associations were observed between portal preference and age, sex, education level, or employment status. Conclusions: The study demonstrates the strong feasibility and acceptability of a digital health portal among Kenyan adolescents and young people. High readiness for digital health, combined with clearly expressed content and feature preferences, underscores the potential for such tools to improve engagement in HIV care. These findings support the need for co-designed, youth-centered digital interventions that address both medical and psychosocial needs in resource-limited settings.
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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 | 0,019 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».