’More of the same, but worse than before’: A qualitative study of the challenges encountered by people who use drugs in Nova Scotia, Canada during COVID-19
Notice bibliographique
Résumé
BACKGROUND: To learn about the experiences of people who use drugs, specifically opioids, in the Halifax Regional Municipality (HRM), in Nova Scotia, Canada during the COVID-19 pandemic through qualitative interviews with people who use drugs and healthcare providers (HCP). This study took place within the HRM, a municipality of 448,500 people [1]. During the pandemic many critical services were interrupted while overdose events increased. We wanted to understand the experiences of people who use drugs as well as their HCPs during the first year of the pandemic. METHODOLOGY: We conducted a qualitative study using semi-structured interviews with 13 people who use drugs and 6 HCPs, including physicians who work in addiction medicine (3), a pharmacist, a nurse, and a community-based opioid agonist therapy (OAT) program staff member. Participants were recruited within HRM. Interviews were held via phone or videoconference due to social distancing directives. Interviews focused on the challenges people who use drugs and HCPs faced during the pandemic as well as elicited perspectives on a safe supply of drugs and the associated barriers and facilitators to the provision of a safe supply. RESULTS: Of the 13 people who use drugs who participated in this study, ages ranged from 21-55 years (mean 40). Individuals had spent on average 17 years in HRM. Most people who use drugs (85%, n = 11) utilized income assistance, the Canadian Emergency Response Benefit, or disability support. Many had experienced homelessness (85%, n = 11) and almost half (46%, n = 6) were currently precariously housed in the shelter system. The main themes among interviews (people who use drugs and HCPs) were housing, accessing healthcare and community services, shifts in the drug supply, and perspectives on safe supply. CONCLUSIONS: We identified several challenges that people who use drugs face in general, but especially during the COVID-19 pandemic. Access to services, housing support, and interventions to use safely at home were limited. As many challenges faced by people who use drugs exist outside of COVID-19, we concluded that the formal and informal interventions and changes in practice that were made to support people who use drugs should be sustained well past the end of the pandemic. The need for enhanced community supports and a safe supply of drugs, despite its complicated nature, is essential for the health and safety of people who use drugs in HRM, especially during COVID-19.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,008 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,026 | 0,020 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,003 | 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 ».