Discharge of Confirmed Covid-19 Patients Based on Who or Regional Criteria? a Cohort Study Publisher Pubmed



Adeli SH¹ ; Parham M² ; Asghari A² ; Bagherzade M² ; Shajari R² ; Tabarraii R² ; Shakeri M² ; Jabbari A² ; Jafari S^{3, 4} ; Ahmadpour S³ ; Habibi MA^{2, 5} ; Khodadai J² ; Shafiee H² ; Eskandari N⁶ Show All Authors
Source: Infectious Disorders - Drug Targets Published:2023

Abstract

Background: Increasing the number of COVID-19 patients raises concerns about the capacity of the health care system. This issue emphasizes reducing the admission rate and expediting patient discharge. Objective: This study aimed to develop a discharge protocol for COVID-19 patients based on the existing capacity of the healthcare system and to assess its post-discharge outcomes. Methods: This is a multicenter cohort study. All COVID-19 patients referred to selected medical centers in Qom, Iran, from Feb. 19 to Apr. 19, 2020, were target populations. Eligible patients were classi-fied into a) the criterion group and b) the non-criterion group. Patients were followed up daily for 14 days after discharge by phone, and the required data was gathered and recorded in follow-up form. Univariate (chi-square and t-tests) and multivariate multiple (multivariate probit regression) analysis were used. Results: A total of 2775 patients were included in the study (1440 people in the criterion group and 1335 in the non-criterion group). Based on multivariate probit regression, death was statistically associated with discharge outside our criteria (p<0.001), rising age (p<0.001), and being male (p=0.019), and readmission were associated with discharge outside our criteria (p<0.001), rising age (p=0.009), and having the history of underlying diseases (p=0.003). Furthermore, remission had statistically significant associations with discharge based on our criteria (p<0.001), decreasing age (p=0.001), and lack of a history of underlying diseases (p<0.001). Conclusion: Mortality and readmission were significantly lower according to our discharge criteria. Our designed criteria apply to less developed and developing countries due to the limited capacity and resources available in the health care system. © 2023 Bentham Science Publishers.