این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Health Sciences and Surveillance System، جلد ۱۱، شماره ۳ (Supplement)، صفحات ۶۱۴-۶۱۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله COVID-19, hospital, Length of stay, Proportional hazards models, Survival analysis
نویسندگان مقاله Mohammadreza Mirjalili |
Department of Internal Medicine, Medical College, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mohammadreza Dehghani |
Medical Genetics Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mehdi Raadabadi |
Health Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Farzan Madadizadeh |
Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mohammad Sharifyazdi |
Infectious Diseases and Tropical Medicine, Health Education Department, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Hosein Shojaefar |
Health System Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Masoud Sharifi |
Health Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mehdi Yavari |
Health Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Ali Dehghani |
Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

نشانی اینترنتی https://jhsss.sums.ac.ir/article_49441_5331e25b3db91479591710599bdbdb77.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات