Navigating transitions into, through, and beyond peer worker roles: insider insights from the Supporting Harm Reduction through Peer Support (SHARPS) study
Notice bibliographique
Résumé
Abstract Background Peer workers are individuals who draw on their personal experiences in a professional capacity to support clients. Existing research on the role of peer workers in mental health, homelessness, and substance use services has primarily focused on their impact on client outcomes. This paper describes the development of peer workers as they transition into, through, and beyond this role. Utilising data from the Supporting Harm Reduction through Peer Support (SHARPS) study, where Peer Navigators supported people experiencing homelessness and substance use challenges, this paper explores the sense-making involved in an intensive peer support worker role, adaptation to organisational culture, and engagement with opportunities for professional advancement. Methods Semi-structured interviews with three Peer Navigators were conducted by two SHARPS study researchers at four time points in 2018 and 2019 corresponding with the beginning, middle, and end of the intervention. These data were analysed along with entries from the three Peer Navigators’ reflective diaries. Analysis followed a multi-stage approach to thematic analysis utilising both inductive and deductive processes. The Peer Navigators’ personal reflections have also been incorporated into the recommendations. Results The foundational training provided to the Peer Navigators before taking up their role helped to ensure readiness and build confidence. This training illuminated the dynamics of supporting individuals with complex health and social challenges. Integrating into diverse organisational environments, the Peer Navigators adapted to new professional expectations and consistently advocated for harm reduction and psychologically informed approaches, sometimes encountering resistance from other professionals. Establishing effective relationships with participants and professionals was essential and involved dealing with challenges such as overcoming personal biases and navigating systemic obstacles. the Peer Navigators benefitted from the specially designed training to support career progress with personal and professional development opportunities which enabled successful transitions beyond the SHARPS study. Conclusions Pre-work training, coupled with support and adherence to key principles, enabled the Peer Navigators to integrate effectively into diverse organisations. Quality relationships were vital in achieving client outcomes and supporting the professional growth of the Peer Navigators. These findings are important for services employing peer workers and underscore the importance of a commitment to training and continuing professional development.
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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 | 0,017 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,011 | 0,009 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,010 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».