Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals | ||
| Journal of Health Sciences & Surveillance System | ||
| دوره 11، 3 (Supplementary of COVID - 19)، پاییز 2023، صفحه 614-619 اصل مقاله (370.26 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.30476/jhsss.2023.96302.1651 | ||
| نویسندگان | ||
| Mohammadreza Mirjalili1؛ Mohammadreza Dehghani2؛ Mehdi Raadabadi3؛ Farzan Madadizadeh4؛ Mohammad Sharifyazdi5؛ Hosein Shojaefar6؛ Masoud Sharifi7؛ Mehdi Yavari7؛ Ali Dehghani* 8 | ||
| 1Department of Internal Medicine, Medical College, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 2Medical Genetics Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 3Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 4Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 5Infectious Diseases and Tropical Medicine, Health Education Department, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 6Health System Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 7Health Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| 8Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran | ||
| چکیده | ||
| Background: Considering the high prevalence of COVID-19 in Iran, it is necessary to allocate health resources in response to this pandemic. Due to limitations in the number of hospital beds, analysis of the length of hospital stay in COVID-19 patients may be helpful for decision-making. Methods: This retrospective cohort study (survival study) was conducted through a follow-up of 1465 COVID-19 patients in Yazd Province, Iran. Demographic, diagnostic, and clinical data were collected using the COVID-19 data dashboard of Shahid Sadoughi University of Medical Sciences. The Kaplan-Meier method and Cox regression were used to calculate the survival probability and hazard ratio; the log-rank test was applied to compare survival function according to qualitative variables. Results: The median and mean survival time was 25 days (95% CI: 19.10-30.89 days) and 28.38 days (95% CI: 25.6-31.16 days), respectively. The Survival probability for one week, two weeks, three weeks, four weeks, five weeks, six weeks, and seven weeks and more was 92%, 76%, 57%, 48%, 45%, 33%, and 20%, respectively. There was a significant relationship between survival time and age categories, CT scan results, history of chronic pulmonary disease, history of diabetes, history of cardiovascular disease, and disease severity (P<0.05). Conclusion: According to the results, age, history of cardiovascular and pulmonary diseases, and history of diabetes increased the length of hospital stay. Preventive measures should be followed to prevent COVID-19 infection and manage hospital beds required for efficient treatment of patients. | ||
| کلیدواژهها | ||
| COVID-19؛ Hospital؛ Length of stay؛ Proportional hazards models؛ Survival analysis | ||
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