The Power of Stories: The Experiences and Well-Being of Mental Health Providers Working in Northern Saskatchewan Communities
Notice bibliographique
Résumé
THE POWER OF STORIES: THE EXPERIENCES AND WELL-BEING OF MENTAL HEALTH PROVIDERS WORKING IN NORTHERN SASKATCHEWAN COMMUNITIES \nWanda Seidlikoski Yurach, PhD Candidate, Health Sciences, College of Medicine, University of Saskatchewan \n\nThis study explores the experiences of outsider mental health providers (MHPs) and the impact of delivering trauma-informed care/counselling in northern Saskatchewan First Nations communities (NSFNCs). With limited information and increased demand for mental health supports in NSFNCs it is important to tap into MHPs’ experiences and insights. An Approval Certificate (Beh ID 851) was received from the University of Saskatchewan’s Behavioural Research Ethics Board prior to commencing this project. \nAn embedded mixed methods research design was utilized guided by participatory narrative inquiry to support participants to be involved in all aspect of this project. A sample of ten female MHPs (Health Canada approved social workers) that have travelled into NSFNCs to work were interviewed in three phases. Narrative interviews indicated working in NSFNCs was both inspiring and tragic revealing these major themes: work complexity; lack of safety; awakening/transformation; power of relationships; reconciliation; impact on well-being; lessons learned; and needed supports. Although MHPs’ love their work, clients and communities, many have discontinued northern trauma work due to the isolation, job demands, and lack of safety and well-being supports. Well-being was examined qualitatively through participants’ stories and described as balance or overall wellness within life and work. Well-being was also quantitatively assessed using the Professional Quality of Life Scale-5 (Pro-QOL-5), a self-administered questionnaire measuring compassion satisfaction and compassion fatigue (burnout/secondary trauma). ProQOL-5 results found 60% of participants had high levels of compassion satisfaction; 70% experienced low levels of burn out; and, 70% experienced moderate levels of secondary trauma. MHPs collectively made the following recommendations to protect their well-being and improve the quality of their work environments: adopt a team approach; address safety concerns; improve management/MHP relationships; develop a trauma-informed training curriculum, specific to NSFNC work; improve MHP approval and hiring guidelines; and, expand access to professional supports including a ‘community of practice’. By understanding NSFNC trauma work and its impact, MHPs are better able, to make evidence-informed recommendations to support their well-being, reduce isolation, and improve the quality of their work environments. This in turn, could help attract and retain experienced MHPs, thereby improving the quality of services to facilitate healing for and with NSFNCs.
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Prédiction machine sur la base complète
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,018 | 0,013 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,002 | 0,012 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».