Addressing drug-related harms: the roles of community health nurses
Notice bibliographique
Résumé
Background. In Manitoba, drug-related harms such as drug poisonings, fatalities and emergency presentations have increased significantly, especially over the course of the COVID-19 pandemic. Other harms include blood-borne infections, stigma and discrimination, and legal harms. Community health nurses are well positioned, in theory, to address these harms in their practice. However, little is known about their perspectives and specific roles and practices in addressing drug-related harms. Purpose. The purpose of this study was to explore community health nurses’ perspectives and their roles in addressing drug-related harms. Their views and experiences with drugs were explored along with their thoughts of the “drug problem” and the current responses to the problem, including government and healthcare responses. Design. Sally Thorne’s qualitative research method of interpretive description was the methodology chosen for this study. Sample and setting. Participants included licensed nurses (i.e., RNs, RPNs, and LPNs) working in the community, including public health nurses, primary care nurses and nurses working in addictions services recruited from various community organizations in Winnipeg. Methods. Data was collected using semi-structured interviews and field notes. Interviews were conducted virtually using Zoom videoconferencing technology. Thematic analysis guided by the Framework Method was used to analyze data. Findings. The findings showed that community health nurses predominantly view the “drug problem” as a social issue rather than an individual one. They stress the importance of addressing root causes of drug-related harms within the context of social determinants of health. Despite this perspective, community health nurses continue to provide mainly individual level care with minimal community or systems level interventions. This misalignment is associated with moral distress. A number of systemic and organizational barriers that limit their ability to perform system level roles were identified. Conclusions. Community health nurses are well-positioned to address drug-related harms in their practice. However, the majority of their work is comprised of individual level care which fails to address underlying inequities experienced by their clients. Efforts are needed to support community health nurses to perform upstream or system-level roles.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».