Creating an Intercultural User-Centric Design for a Digital Sexual Health Education App for Young Women in Resource-Poor Regions of Kenya: Qualitative Self-Extended Double Diamond Model for Requirements Engineering Analysis
Notice bibliographique
Résumé
BACKGROUND: The stigmatization around sexual health due to culture, religious traditions, and norms leads to myths and a lack of available information and resources related to universal access to sexual and reproductive health services. Additional sexual health education not being part of the Kenya school curriculum leads to insufficient access to knowledge about safe contraception, menstruation, and female genital mutilation. A digital app could support and provide education and information for universal equal access, addressing United Nations Sustainable Development Goals 3, 4, and 5. OBJECTIVE: The study targeted the requirements for establishing a reusable framework to develop a successful accessible web-based sexual health education app and the behavioral intention to use it to obtain sexual health information by mainly young women in Kenya. METHODS: The double diamond model, with a problem room including the discover and define phases, enriched with cultural aspects and modeled to a self-expanded intercultural research model was used in a user-centered design thinking approach to develop a framework for requirements engineering analysis. For problem identification, semistructured pilot phase interviews based on Consolidated Criteria for Reporting Qualitative Research guidelines were conducted, followed by expert interviews for qualitative content analysis. A sample size of 12 pilot phase interviews and 5 expert interviews was determined using data saturation. The responses were coded and analyzed according to the affinity mapping method. RESULTS: The requirements engineering analysis showed potential enablers of and barriers to the use of a digital sexual health education app. Through this qualitative study, a conservative cultural background, classic text communication, and the influence of social affiliation within society were identified as barriers, which should be enhanced through visual and auditory channels as well as a fictional character in the app. CONCLUSIONS: The developed intercultural research model provides an impetus to providing digital sexual health education, integrating culture-specific aspects in the design process, while focusing on cultural and religious stigmata. The reusable framework enables identifying and overcoming hurdles in providing information about taboo and intimate topics. The overall use of online education tools focusing on intimate topics is correlated with accessibility and understanding specific cultural needs while delivering content on a basic and comprehensive level. It helps the target user from a social conservative background and in resource-poor circumstances to benefit from a digital educational solution.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».