Still Burning: An Exploration of the Impacts of the 2018/2019 Tasmanian Summer Bushfires on Community Pharmacy Operations in Affected Communities
Notice bibliographique
Résumé
INTRODUCTION: Human-induced climate change is increasing the likelihood and severity of wildfires across the globe. This has negative consequences for the health of affected communities through the loss of health systems' infrastructure and disrupted health services. Community pharmacies are a central hub between patients and the health care system and can provide continuity of care during wildfires. However, there is little in peer-reviewed literature about the impacts of wildfires on community pharmacy operations. STUDY OBJECTIVE: The aim of this study was therefore to explore the impacts of the 2018/2019 summer bushfires in Tasmania, Australia on community pharmacy operations in affected areas. METHODS: Semi-structured telephone interviews were conducted with four community pharmacists who were working in the affected region during the bushfires. Interviews were audio recorded and transcribed verbatim. Qualitative data were analyzed using two methods- manual coding utilizing NVivo software and Leximancer analysis. Inter-rater reliability was ensured by two researchers analyzing the data independently. Differences in coding were discussed and agreement reached through negotiation amongst the research team. RESULTS: From the manual coding analysis, five key themes emerged - communication and collaboration; support; patient health challenges; pharmacist experiences in delivering health care; and future planning. These aligned with the five themes that emerged from the Leximancer analysis - community; local; town; patients; and work. Participants described working during the wildfires as difficult, with multiple challenges reported including communication difficulties, operational barriers such as power cuts, legislative barriers, logistical issues with obtaining and storing medication supplies, and lack of preparation, support, and funding. They highlighted a lack of operational and financial support from the government and received most assistance from local council bodies and local branches of professional pharmacy organizations. CONCLUSION: During disasters, community pharmacies help reduce the burden on public hospitals by maintaining medication supplies and treating patients with minor ailments. However, increased support and inclusion in disaster management planning is needed to continue this role.
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 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 | 0,000 | 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 ».