Adolescents’ Perspectives on Using Technology for Health: Qualitative Study
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Notice bibliographique
Résumé
Background: Adolescents' wide use of technology opens up opportunities to integrate technology into health visits and health care. In particular, technology has the potential to influence adolescent behavior change by offering new avenues for provider communication and support for healthy choices through many different platforms. However, little information exists to guide the integration of technology into adolescent health care, especially adolescents' perspectives and preferences for what they find useful. Objective: This qualitative study aimed to take a broad approach to understanding adolescents' use of technology for supporting their overall health and to understand whether and how adolescents envision using technology to enhance their health and clinical care, particularly in communicating with their provider. Methods: Adolescents (13-18 years) were recruited to participate in semi-structured, in-depth individual interviews. Potential participants were approached in-person through the Seattle Children's Hospital Adolescent Medicine Clinic while they were waiting for consultation appointments, through outreach to youth who expressed interest in other local research study activities, and via flyers in waiting rooms. Interviews were recorded, transcribed, and analyzed using a thematic analysis approach. Results: Thirty-one adolescents (58% female, M= 15.2 years) were interviewed and described 3 main uses of technology: (1) to gather information, (2a) to share their own experiences and (2b) view others' experiences in order to gain social support or inspiration, and (3) to track behaviors and health goals. Perceived benefits and potential downsides were identified for technology use. Teens desired to use technology with their provider for 3 main reasons: (1) have questions answered outside of visits, (2) have greater access to providers as a way to build relationship/rapport, and (3) share data regarding behaviors in between visits. Social media was not a preferred method for communicating with providers for any of the youth due to concerns about privacy and intrusiveness. Conclusions: Although youth are avid users of technology in general, in regard to technology for health, they display specific use preferences especially in how they wish to use it to communicate with their primary care provider. Healthcare providers should offer guidance to youth with regard to how they have used and plan to use technology and how to balance potential positives and negatives of use. Technology developers should take youth preferences into account when designing new health technology and incorporate ways they can use it to communicate with their healthcare provider.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 découle