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dc.contributor.authorDatta, Biplab K.
dc.contributor.authorAnsa, Benjamin E.
dc.contributor.authorGeorge, Varghese
dc.date.accessioned2023-11-28T19:06:49Z
dc.date.available2023-11-28T19:06:49Z
dc.date.issued2022-12
dc.identifier.citationDatta, B. K., Ansa, B. E., & George, V. (2022). An analytical model of population level chronic conditions and COVID-19 related hospitalization in the United States. BMC public health, 22(1), Article 208. https://doi.org/10.1186/s12889-022-12531-3en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/624917
dc.description.abstractBackground: The surge in the COVID-19 related hospitalization has been straining the US health system. COVID-19 patients with underlying chronic conditions have a disproportionately higher risk of hospitalization and intensive care unit (ICU) admission. We developed a retrospective analytical model of COVID-19 related hospitalizations and ICU admissions linked to each of the three major chronic conditions – hypertension, diabetes, and cardiovascular diseases (CVD). Methods: Based on the differential probability of hospitalization of the COVID-19 patients with and without a chronic condition, we estimate a baseline cumulative hospitalization rate and ICU admission rate using the population level chronic condition prevalence from the 2019 Behavioral Risk Factor Surveillance System survey. Next, we estimate the hospitalization and ICU admission rates under an alternative scenario of a lower prevalence of the same chronic condition, aligned with the World Health Organization target of 25% relative reduction of prevalence by 2025. We then compare the outcomes of the baseline and the alternative scenarios. Results: We estimate that the lower prevalence of hypertension would have lowered the cumulative hospitalization and ICU admission rates by more than 2.5%. The lower prevalence of diabetes and CVD would lower the cumulative hospitalization rate by 0.6% and 1.4% respectively. The decrease in the rates would have been relatively higher among Black and elderly (age 55+). Conclusions: Our model, thus, provides evidence on the importance of prevention, control, and management of chronic conditions to lessen the overwhelming financial and public health burden on the health system during a pandemic like the COVID-19.en_US
dc.language.isoen_USen_US
dc.publisherBMC - Springer Natureen_US
dc.relation.url10.1186/s12889-022-12531-3en_US
dc.subjectCOVID-19en_US
dc.subjectCVDen_US
dc.subjectChronic conditionsen_US
dc.subjectDiabetesen_US
dc.subjectHospitalizationen_US
dc.subjectHypertensionen_US
dc.subjectICU admissionen_US
dc.titleAn analytical model of population level chronic conditions and COVID-19 related hospitalization in the United Statesen_US
dc.typeAbstracten_US
dc.typeArticleen_US
dc.contributor.departmentAugusta Universityen_US
dc.identifier.journalBMC public healthen_US
refterms.dateFOA2023-11-28T19:06:49Z


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