French General Practitioners' Adaptations for Patients with Suspected COVID-19 in May 2020.
Aline Ramond-RoquinSylvain GautierJulien Le BretonYann BourgueilTiphanie BouchezPublished in: International journal of environmental research and public health (2023)
In France, towards the end of the first lockdown, COVID-19 management was largely transferred from hospitals to primary care. Primary care actors adapted their practices to ensure patients' access to care, while limiting contamination. In this study, we aimed to identify patterns of adaptations implemented by French general practitioners (GPs) in May 2020 for outpatients with confirmed or suspected COVID-19, and factors associated with these adaptions. A French survey concerning care organization adaptations, and individual, organizational, and territorial characteristics, was sent to GPs. Data were analyzed by multiple correspondence analysis followed by agglomerative hierarchical clustering to identify GPs' adaptation clusters. A multinomial logistic regression model estimated the associations between clusters and individual, organizational, and territorial factors. Finally, 3068 surveys were analyzed (5.8% of French GPs). Four GPs' adaptation clusters were identified: autonomous medical reorganization (64.2% of responders), interprofessional reorganization (15.9%), use of hospital (5.1%), and collaboration with COVID-19 outpatient centers (14.8%). Age, practice type and size, and territorial features were significantly associated with adaptation clusters. Our results suggest that healthcare systems should consider organizational features of primary care to effectively deal with future challenges, including healthcare crises, such as the COVID-19 pandemic, but also those linked to epidemiologic and societal changes.
Keyphrases
- healthcare
- primary care
- coronavirus disease
- sars cov
- high intensity
- end stage renal disease
- cross sectional
- respiratory syndrome coronavirus
- palliative care
- general practice
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- drinking water
- health risk
- pain management
- quality improvement
- machine learning
- affordable care act
- peritoneal dialysis
- climate change
- artificial intelligence
- health insurance
- nursing students
- acute care
- patient reported