Using Web-Based Content to Connect Young People With Real-life Mental Health Support: Qualitative Interview Study
Notice bibliographique
Résumé
BACKGROUND: Young people experience high rates of mental health problems but make insufficient use of the formal services available to them. As young people are heavy users of the internet, there may be an untapped potential to use web-based content to encourage this hard-to-reach population to make better use of face-to-face mental health services. However, owing to the vast range of content available and the complexities in how young people engage with it, it is difficult to know what web-based content is most likely to resonate with this age group and facilitate their engagement with professional support. OBJECTIVE: This study aimed to identify the types of web-based content young people identified as more likely to prompt youth engagement with mental health services. METHODS: This study used a qualitative design conducted within a social constructionist epistemology that recognized the importance of youth empowerment in mental health. Digital interviews using WhatsApp instant messenger were conducted with 37 young people aged 16-23 years who participated as "expert informants" on the priorities and practices of youth in web-based spaces. The data were analyzed using reflexive thematic analysis to identify the types of web-based content that participants believed would encourage young people to reach out to a face-to-face mental health service for support. RESULTS: The analysis generated 3 main themes related to the research question. First, participants noted that a lack of information about available services and how they worked prevented young people from engaging with face-to-face mental health services. They proposed web-based content that provided clear information about relevant mental health services and how to access them. They also suggested the use of both text and video to provide young people with greater insight into how face-to-face counseling might work. Second, participants recommended content dedicated to combating misconceptions about mental health and negative portrayals of mental health services and professionals that are prevalent in their web-based spaces. They suggested content that challenged the stigma surrounding mental health and help seeking and highlighted the value of mental health services. Finally, participants suggested that young people would be more likely to respond to "relatable" digital stories of using mental health services, recounted in the context of a personal connection with someone they trusted. CONCLUSIONS: This study offers recommendations for professionals and service providers on how to better engage young people with real-life mental health support using web-based content. Web-based content can be used to challenge some of the barriers that continue to prevent young people from accessing face-to-face mental health services and underlines the importance of including young people's voices in the design of web-based mental health content.
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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 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,009 | 0,009 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».