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Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

This time-to-event study examines social factors associated with health-seeking and diagnosis of 165 COVID-19 cases in response to the pandemic spread in Shaanxi Province, China. In particular, we investigate the differential access to healthcare in terms of delayed time from symptom onset to first...

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Detalles Bibliográficos
Autores principales: Zheng, Wenyuan, Kämpfen, Fabrice, Huang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405662/
https://www.ncbi.nlm.nih.gov/pubmed/34462494
http://dx.doi.org/10.1038/s41598-021-96888-2
Descripción
Sumario:This time-to-event study examines social factors associated with health-seeking and diagnosis of 165 COVID-19 cases in response to the pandemic spread in Shaanxi Province, China. In particular, we investigate the differential access to healthcare in terms of delayed time from symptom onset to first medical visit and subsequently to diagnosis by factors such as sex, age, travel history, and type of healthcare utilization. We show that it takes more time for patients older than 60 (against those under 30) to seek healthcare after developing symptoms (+ 2.5 days, [Formula: see text] ), surveillance on people with living or travel history to Wuhan helps shorten the time to the first doctor visit (− 0.8 days) and diagnosis (− 2.2 days, [Formula: see text] ). A delay cut is associated with the adoption of intermediary and large hospitals rather than community-based care as primary care choices (− 1.6 days, [Formula: see text] and − 2.2 days, [Formula: see text] ). One unit increase of healthcare workers per 1000 people saves patients 0.5 days ([Formula: see text] ) for diagnosis from the first doctor visit and 0.6 days ([Formula: see text] ) in total. Our analysis of factors associated with the time delay for diagnosis may provide a better understanding of the health-seeking behaviors of patients and the diagnosis capacity of healthcare providers during the COVID-19 pandemic.