Cargando…

Disruption of medical care among individuals in the southeastern United States during the COVID-19 pandemic

Background: Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences. Design and methods: To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact...

Descripción completa

Detalles Bibliográficos
Autores principales: Ni, Bin, Gettler, Erin, Stern, Rebecca, Munro, Heather M., Steinwandel, Mark, Aldrich, Melinda C., Friedman, Debra L., Sanderson, Maureen, Schlundt, David, Aronoff, David M., Gupta, Deepak K., Shrubsole, Martha J., Lipworth, Loren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874848/
https://www.ncbi.nlm.nih.gov/pubmed/34558253
http://dx.doi.org/10.4081/jphr.2021.2497
Descripción
Sumario:Background: Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences. Design and methods: To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact survey between 10/7-12/14/2020 among participants of the Southern Community Cohort Study, which primarily enrolled lowincome individuals in 12 southeastern states from 2002-2009. COVID survey data were combined with baseline and follow-up data. Results: Among 4463 respondents, 40% reported having missed/delayed a health appointment during the pandemic; the common reason was provider-initiated cancellation or delay (63%). In a multivariable model, female sex was the strongest independent predictor of interrupted care, with odds ratio (OR) 1.63 (95% confidence interval [CI] 1.40-1.89). Those with higher education (OR 1.27; 95% CI 1.05-1.54 for college graduate vs ≤high school) and household income (OR 1.47; 95% CI 1.16-1.86 for >$50,000 vs <$15,000) were at significantly increased odds of missing healthcare. Having greater perceived risk for acquiring (OR 1.42; 95% CI 1.17-1.72) or dying from COVID-19 (OR 1.25; 95% CI 1.04-1.51) also significantly increased odds of missed/delayed healthcare. Age was inversely associated with missed healthcare among men (OR for 5-year increase in age 0.88; 95% CI 0.80-0.96) but not women (OR 0.97; 95% CI 0.91-1.04; P-interaction=0.04). Neither race/ethnicity nor comorbidities were associated with interrupted healthcare. Conclusions: Disruptions to healthcare disproportionately affected women and were primarily driven by health system-initiated deferrals and individual perceptions of COVID-19 risk, rather than medical co-morbidities or other traditional barriers to healthcare access.