COVID-19 impact on New Zealand general practice: rural-urban differences
Notice bibliographique
Résumé
INTRODUCTION: In countries such as New Zealand, where there has been little community spread of COVID-19, psychological distress has been experienced by the population and by health workers. COVID-19 has caused changes in the model of care that is delivered in New Zealand general practice. It is unknown, however, whether the changes wrought by COVID-19 have resulted in different levels of strain between rural and urban general practices. This study aims to explore these differences from the impact of COVID-19. METHODS: This study is part of a four-country collaboration (Australia, New Zealand, Canada and the USA) involving repeated cross-sectional surveys of primary care practices in each respective country. Surveys were undertaken at regular intervals throughout 2020 of urban and rural general practices throughout New Zealand. Five core questions were asked at each survey, relating to experiences of strain, capacity for testing, stressors experienced, types of consultations being carried out and numbers of patients seen. Simple descriptive statistics were used to analyse the data. RESULTS: A total of 1516 responses were received with 20% from rural practices. A moderate degree of strain was experienced by general practices, although rural practices appeared to experience less strain compared to urban ones. Rural practices had fewer staff absent from work, were less likely to use alternative forms of consultations such as video consultations and telephone consultations, and had possibly lower reductions in patient volumes. These variations might be related to personal characteristics of rural as compared to urban practices or different models of care. CONCLUSION: New Zealand rural general practice appeared to have a different response to the COVID-19 pandemic compared to urban general practice, illustrating the significant strengths and resilience of rural practices. While different experiences from COVID-19 might reflect differences in the demographics of the rural and urban general practice workforce, another proposition is that this difference indicates a rural model of care that is more adaptive compared to the urban one. This is consistent with the literature that rural general practice has the capacity to manage conditions in a different way to urban. While other comparable countries have demonstrated a unique rural model of care, less is known about this in New Zealand, adding weight to an argument to further define New Zealand rural general practice.
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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 | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».