Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals
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...
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2023-07-01
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| Series: | Journal of Health Sciences and Surveillance System |
| Subjects: | |
| Online Access: | https://jhsss.sums.ac.ir/article_49441_5331e25b3db91479591710599bdbdb77.pdf |
| _version_ | 1797687663615016960 |
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| author | Mohammadreza Mirjalili Mohammadreza Dehghani Mehdi Raadabadi Farzan Madadizadeh Mohammad Sharifyazdi Hosein Shojaefar Masoud Sharifi Mehdi Yavari Ali Dehghani |
| author_facet | Mohammadreza Mirjalili Mohammadreza Dehghani Mehdi Raadabadi Farzan Madadizadeh Mohammad Sharifyazdi Hosein Shojaefar Masoud Sharifi Mehdi Yavari Ali Dehghani |
| author_sort | Mohammadreza Mirjalili |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T01:20:59Z |
| format | Article |
| id | doaj.art-ea81ba286dfe4c10b38adcec9e4c5dcf |
| institution | Directory Open Access Journal |
| issn | 2345-2218 2345-3893 |
| language | English |
| last_indexed | 2024-03-12T01:20:59Z |
| publishDate | 2023-07-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Health Sciences and Surveillance System |
| spelling | doaj.art-ea81ba286dfe4c10b38adcec9e4c5dcf2023-09-13T05:45:01ZengShiraz University of Medical SciencesJournal of Health Sciences and Surveillance System2345-22182345-38932023-07-01113 (Supplement)61461910.30476/jhsss.2023.96302.165149441Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province HospitalsMohammadreza Mirjalili0Mohammadreza Dehghani1Mehdi Raadabadi2Farzan Madadizadeh3Mohammad Sharifyazdi4Hosein Shojaefar5Masoud Sharifi6Mehdi Yavari7Ali Dehghani8Department of Internal Medicine, Medical College, Shahid Sadoughi University of Medical Sciences, Yazd, IranMedical Genetics Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, IranHealth Policy and Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranCenter for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, IranInfectious Diseases and Tropical Medicine, Health Education Department, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranHealth System Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, IranHealth Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, IranHealth Center of Yazd Province, Shahid Sadoughi University of Medical Sciences, Yazd, IranDepartment of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranBackground: 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.https://jhsss.sums.ac.ir/article_49441_5331e25b3db91479591710599bdbdb77.pdfcovid-19hospitallength of stayproportional hazards modelssurvival analysis |
| spellingShingle | Mohammadreza Mirjalili Mohammadreza Dehghani Mehdi Raadabadi Farzan Madadizadeh Mohammad Sharifyazdi Hosein Shojaefar Masoud Sharifi Mehdi Yavari Ali Dehghani Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals Journal of Health Sciences and Surveillance System covid-19 hospital length of stay proportional hazards models survival analysis |
| title | Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals |
| title_full | Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals |
| title_fullStr | Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals |
| title_full_unstemmed | Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals |
| title_short | Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals |
| title_sort | factors associated with length of hospital stays in covid 19 patients in yazd province hospitals |
| topic | covid-19 hospital length of stay proportional hazards models survival analysis |
| url | https://jhsss.sums.ac.ir/article_49441_5331e25b3db91479591710599bdbdb77.pdf |
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