An exploration of the roles and experiences of SCI peer mentors using creative non-fiction
Notice bibliographique
Résumé
Spinal cord injury (SCI) peer mentors are individuals who, through their lived experiences, offer emotional support and empathetic understanding to others living with SCI to foster positive health, independence, and well-being. This study explored SCI peer mentors’ perceptions of their roles and experiences. Six paid or volunteer peer mentors participated in semi-structured interviews. We first explored the data using thematic narrative analysis to identify patterns, themes, and narrative types. Next, we analyzed the narrative types using creative analytical practices to construct and refine the stories. Based on our analysis, we developed two stories from a storyteller perspective to present a snapshot of SCI peer mentors’ experiences. The first story focuses on a “discovery” narrative from the point of view of Casey who adopted a person-centered approach to mentoring, focusing their attention on the needs of the mentee. The second story focuses on Taylor’s experiences with the “dark” side of peer mentorship, which focuses on the psychological toll of being a SCI peer mentor, from discussions about suicidal thoughts with clients to struggling with burnout. Results provided insights for support services regarding the importance of supporting the mental health of mentors to ensure they continue delivering high quality mentorship.Implications for rehabilitationPeer mentors need to be educated on the significance of their role in the rehabilitation process and how their interpersonal behaviours can influence their mentees, both positively and negatively.Peer mentors should receive formalized and accessible training to ensure they are equipped with effective mentoring skills, but also providing them with tools to cope with physical, mental, and emotional stressors they may encounter as mentors.There is a need to continue diversifying and improving the types of services provided to SCI peer mentors in addition to one-on-one counselling, such as interactive educational workshops, for peer mentors to learn and practice coping skills, including mindfulness, meditation, and action-planning.As with other paid employees, SCI peer mentors should be trained to recognize when they are feeling depleted and be supported in seeking appropriate care from a health professional to provide quality psychosocial services to others. Peer mentors need to be educated on the significance of their role in the rehabilitation process and how their interpersonal behaviours can influence their mentees, both positively and negatively. Peer mentors should receive formalized and accessible training to ensure they are equipped with effective mentoring skills, but also providing them with tools to cope with physical, mental, and emotional stressors they may encounter as mentors. There is a need to continue diversifying and improving the types of services provided to SCI peer mentors in addition to one-on-one counselling, such as interactive educational workshops, for peer mentors to learn and practice coping skills, including mindfulness, meditation, and action-planning. As with other paid employees, SCI peer mentors should be trained to recognize when they are feeling depleted and be supported in seeking appropriate care from a health professional to provide quality psychosocial services to others.
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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 | 0,009 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,012 | 0,011 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,002 | 0,003 |
| 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 ».