Therapy dogs, stress-reduction, and well-being within the detachment: Interviews with law-enforcement personnel
Notice bibliographique
Résumé
Abstract Despite the increasing popularity of canine-assisted interventions (CAIs) across a variety of contexts, and the demonstrated efficacy they have on stress reduction, there is a paucity of research exploring the implementation of such programs within the context of law enforcement. Policing is known to be an environment in which personnel experience elevated occupational stress. As stress can compromise the overall well-being of law-enforcement personnel and their ability to serve the public, it is important to understand how CAIs involving therapy dog visitation are experienced by the very individuals for whom they are intended to help. This qualitative study explored Royal Canadian Mounted Police (RCMP) members’ experiences of stress within a detachment and their perceptions of a CAI integrated within their workplace to support their well-being. Eight RCMP members (75% female, Mage = 49.21, SD = 6.12) from an urban RCMP detachment situated in the downtown core of a small city were interviewed. The interview focused on topics including members’ experiences of stress within the workplace, their perceptions of the effects of stress, resources and sources of support, and their experiences participating in a weekly CAI within their detachment. Results indicated that organizational stressors were identified more often than operational stressors; that members most commonly reported that stress rendered them more irritable and impacted their sleep, and that the most commonly reported coping mechanism and resource are exercise and medical services, respectively. In discussing the CAI, participants were overwhelmingly positive in their experiences of the program, and demonstrated support for having CAIs within the detachment setting. Discussion of the impact of the sessions demonstrated that participants found that the program served as a break from work, relieved their stress, improved their mood, and helped them to change perspectives. Participants also identified the role of the dogs within the program, which included their role as a social being. The findings from the current study contribute to better understanding of the lived experiences of stress within RCMP members and of CAIs within an applied setting.
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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 | 0,005 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,010 | 0,008 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| 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 ».