The Use of Technology to Provide Mental Health Services to Youth Experiencing Homelessness: Scoping Review
Notice bibliographique
Résumé
BACKGROUND: There is growing interest in using information and communication technologies (ICTs) to improve access to mental health services for youth experiencing homelessness (YEH); however, limited efforts have been made to synthesize this literature. OBJECTIVE: This study aimed to review the research on the use of ICTs to provide mental health services and interventions for YEH. METHODS: We used a scoping review methodology following the Arksey and O'Malley framework and guidelines from the Joanna Briggs Institute Manual for Evidence Synthesis. The results are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). A systematic search was conducted from 2005 to 2021 in MEDLINE, Embase, CINAHL, PsycInfo, Cochrane, Web of Science, and Maestro and in ProQuest Thesis and Dissertations, Papyrus, Homeless Hub, and Google Scholar for gray literature. Studies were included if participants' mean age was between 13 and 29 years, youth with mental health issues were experiencing homelessness or living in a shelter, ICTs were used as a means of intervention, and the study provided a description of the technology. The exclusion criteria were technology that did not allow for interaction (eg, television) and languages other than French or English. The data were analyzed using descriptive statistics and qualitative approaches. Two reviewers were involved in the screening and data extraction process in consultation with a third reviewer. The data were summarized in tables and by narrative synthesis. RESULTS: From the 2153 abstracts and titles screened, 12 were included in the analysis. The most common types of ICTs used were communication technologies (eg, phone, video, and SMS text messages) and mobile apps. The intervention goals varied widely across studies; the most common goal was reducing risky behaviors, followed by addressing cognitive functioning, providing emotional support, providing vital resources, and reducing anxiety. Most studies (9/11, 82%) focused on the feasibility of interventions. Almost all studies reported high levels of acceptability (8/9, 89%) and moderate to high frequency of use (5/6, 83%). The principal challenges were related to technical problems such as the need to replace phones, issues with data services, and phone charging. CONCLUSIONS: Our results indicate the emerging role of ICTs in the delivery of mental health services to YEH and that there is a high level of acceptability based on early feasibility studies. However, our results should be interpreted cautiously, considering the limited number of studies included in the analysis and the elevated levels of dropout. There is a need to advance efficacy and effectiveness research in this area with larger and longer studies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2022-061313.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,020 | 0,083 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,006 | 0,007 |
| Bibliométrie | 0,024 | 0,020 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».