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Enregistrement W4386245837 · doi:10.1186/s12954-023-00853-3

“A peer support worker can really be there supporting the youth throughout the whole process”: a qualitative study exploring the role of peer support in providing substance use services to youth

2023· article· en· W4386245837 sur OpenAlexafffund
Roxanne Turuba, Ciara Toddington, Miranda Tymoschuk, Anurada Amarasekera, Amanda Madeleine Howard, Violet Brockmann, Corinne Tallon, Sarah Irving, Steve Mathias, Joanna Henderson, Skye Barbic

Notice bibliographique

RevueHarm Reduction Journal · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensOntario Centre of Excellence for Child and Youth Mental HealthUniversity of TorontoCentre for Addiction and Mental HealthCentre for Advancing Health OutcomesSpinal Cord Injury BCUniversity of British ColumbiaProvidence Health Care
Organismes subventionnairesHealth CanadaMichael Smith Health Research BC
Mots-clésPeer supportMentorshipQualitative researchHealth psychologyPsychologyFocus groupSocial supportPeer groupMental healthParticipatory action researchSocial workMedical educationNursingSocial psychologyMedicinePublic healthPolitical scienceSociologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Youth (ages 12-24) rarely access services and supports to address substance use concerns. Peer support can facilitate service engagement and has been associated with positive substance use recovery outcomes in adults, yet few studies have examined this role among youth specifically. As such, this qualitative study explored the role of peer support in providing substance use services to youth in British Columbia and how best to support them in their role. METHODS: Participatory action research methods were used by partnering with youth who had lived/living experience of substance use, including peer support workers, to co-design the research protocol and materials. An initial focus group and subsequent interviews were held with 18 peer support workers who provide services to youth (ages 12-24) based on their own lived experience with mental health and/or substance use. The discussions were audio-recorded, transcribed verbatim, and analysed thematically using an inductive approach. RESULTS: Peer support workers' core experiences providing substance use services to youth centred around supporting youth throughout the whole process. This was accomplished by meeting youth where they are at, providing individualized care, and bridging the gap between other services and supports. However, participants experienced multiple organizational barriers hindering their ability to support youth and stressed the importance of having an employer who understands the work you are doing. This involved having someone advocating for the peer support role to promote collaboration, empowering peers to set boundaries and define their own role, and providing adequate training and mentorship. Finally, peer support workers described how their lived experience bridges connection and de-stigmatization at the individual, organizational, and community level, which was unique to their role. CONCLUSIONS: Peer support plays a unique role in youths' substance use journeys, given their own lived experience and flexibility within their role. However, their position is often misunderstood by employers and other service providers, leaving peers with inadequate support, training, and mentorship to do their job. The findings from this study call for improved integration of peer support into service environments, as well as standardized training that is in-depth and continuous.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,057
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0120,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,371
Tête enseignante GPT0,485
Écart entre enseignants0,114 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations25
Publié2023
Routes d'admission2
Résumé présentoui

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