LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,093
تعداد مقالات10,023
تعداد مشاهده مقاله27,252,293
تعداد دریافت فایل اصل مقاله7,486,636
Mirjalili, Mohammadreza, Dehghani, Mohammadreza, Raadabadi, Mehdi, Madadizadeh, Farzan, Sharifyazdi, Mohammad, Shojaefar, Hosein, Sharifi, Masoud, Yavari, Mehdi, Dehghani, Ali. (1402). Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals. سامانه مدیریت نشریات علمی, 11(3 (Supplement)), 614-619. doi: 10.30476/jhsss.2023.96302.1651
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". سامانه مدیریت نشریات علمی, 11, 3 (Supplement), 1402, 614-619. doi: 10.30476/jhsss.2023.96302.1651
Mirjalili, Mohammadreza, Dehghani, Mohammadreza, Raadabadi, Mehdi, Madadizadeh, Farzan, Sharifyazdi, Mohammad, Shojaefar, Hosein, Sharifi, Masoud, Yavari, Mehdi, Dehghani, Ali. (1402). 'Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals', سامانه مدیریت نشریات علمی, 11(3 (Supplement)), pp. 614-619. doi: 10.30476/jhsss.2023.96302.1651
Mirjalili, Mohammadreza, Dehghani, Mohammadreza, Raadabadi, Mehdi, Madadizadeh, Farzan, Sharifyazdi, Mohammad, Shojaefar, Hosein, Sharifi, Masoud, Yavari, Mehdi, Dehghani, Ali. Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals. سامانه مدیریت نشریات علمی, 1402; 11(3 (Supplement)): 614-619. doi: 10.30476/jhsss.2023.96302.1651

Factors Associated with Length of Hospital Stays in COVID-19 Patients in Yazd Province Hospitals

Journal of Health Sciences & Surveillance System
دوره 11، 3 (Supplement)، مهر 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
مراجع
  1. Supic ZT, Bjegovic V, Marinkovic J, Milicevic MS, Vasic V. Hospital management training and improvement in managerial skills: Serbian experience. Health policy. 2010;96(1):80-9. PMID: 20116126. doi: 10.1016/j.healthpol.2010.01.002.
  2. Viitala R. Perceived development needs of managers compared to an integrated management competency model. Journal of workplace learning. 2005;17(7):436-51. doi: 10.1108/13665620510620025.
  3. Zula KJ, Chermack TJ. Development and initial validation of an instrument for human capital planning. Human Resource Development Quarterly. 2008;19(1):7-33. doi: 10.1002/hrdq.1223.
  4. Palacio M, Caradeux J, Sanchez M, Cobo T, Figueras F, Coll O, et al. Uterine cervical length measurement to reduce length of stay in patients admitted for threatened preterm labor: a randomized trial. Fetal Diagn Ther. 2018;43(3):184-90. doi: 10.1159/000477930.
  5. Gohari M, Vahabi N, Moghadamifard Z. Semi-parametric Cox regression for factors affecting hospitalization length. Daneshvar. 2012;19(99):23-30.
  6. Divsalar K, Nakhaei N. Prevalence and correlates of cigarette smoking among students of two universities in Kerman, Iran. J Babol Univ Med Sci. 2008;10(4):78-83.
  7. Atienza N, García‐Heras J, Muñoz‐Pichardo J, Villa R. An application of mixture distributions in modelization of length of hospital stay. Stat Med. 2008;27(9): 1403-1420. doi: 10.1002/sim.3029.
  8. Arab M, Zarei A, Rahimi A, Rezaiean F, Akbari F. Analysis of factors affecting length of stay in public hospitals in Lorestan Province, Iran. Hakim Research Journal. 2010;12(4):27-32.
  9. Alshahrani MS, Sindi A, Alshamsi F, Al-Omari A, El Tahan M, Alahmadi B, et al. Extracorporeal membrane oxygenation for severe Middle East respiratory syndrome coronavirus. Ann Intensive Care. 2018;8(1):3. doi: 10.1186/s13613-017-0350-x.
  10. Arabi YM, Alothman A, Balkhy HH, Al-Dawood A, AlJohani S, Al Harbi S, et al. Treatment of Middle East Respiratory Syndrome with a combination of lopinavir-ritonavir and interferon-β1b (MIRACLE trial): study protocol for a randomized controlled trial. Trials. 2018;19(1):81. doi: 10.1186/s13063-017-2427-0.
  11. Farnoosh G, Alishiri G, Hosseini Zijoud SR, Dorostkar R, Jalali Farahani Understanding the 2019-novel Coronavirus (2019-nCoV) and Coronavirus Disease (COVID-19) Based on Available Evidence - A Narrative Review. J Military Med. 2020;22(1):1-11.
  12. Thai PQ, Dinh TS, Van Hoang TH, Luu NM, Hung LX, Luu NH, et al. Factors associated with the duration of hospitalization among COVID-19 patients in Vietnam: A survival analysis. Epidemiol Infect. 2020:1-20. doi: 10.1017/S0950268820001259. PMCID: PMC7306545. PMID: 32517822.
  13. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention. Jama. 2020;323(13):1239-42. doi:10.1001/jama.2020.2648.
  14. CDC (Centers for Disease Control and Prevention) (2020) Severe outcomes among patients with coronavirus disease 2019 (COVID-19) –United States, February 12–March 16, 2020. MMWR. Morbidity and Mortality Weekly Report 69, 343–346. Available at https://www.cdc.gov/ mmwr/volumes/69/wr/mm6912e2.htm.
  15. Lescure F-X, Bouadma L, Nguyen D, Parisey M, Wicky P-H, Behillil S, et al. Clinical and virological data of the first cases of COVID-19 in Europe: a case series. Lancet Infect Dis. 2020. doi: 10.1016/S1473-3099(20)30200-0. PMID: 32224310. PMCID: PMC7156120.
  16. Wise J. A third of covid-19 patients admitted to UK hospitals die. BMJ Publishing Group; 2020. doi: 10.1136/bmj.m1794.
  17. Ji JS, Liu Y, Liu R, Zha Y, Chang X, Zhang L, et al. Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China. medRxiv. 2020. doi: 10.1371/journal.pone.0261216.
  18. Li X, Guo Z, Li B, Zhang X, Tian R, Wu W, et al. Extracorporeal membrane oxygenation for coronavirus disease 2019 in Shanghai, China. ASAIO J. 2020;66(5):475. doi: 10.1097/MAT.0000000000001172. PMID: 32243266. PMCID: PMC7273861.
  19. Ling L, So C, Shum HP, Chan PK, Lai CK, Kandamby DH, et al. Critically ill patients with COVID-19 in Hong Kong: a multicentre retrospective observational cohort study. Crit Care Resusc. 6, 2020. PMID: 32248675.
  20. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020;46(5):846-8. doi: 10.1007/s00134-020-05991-x. PMID: 32125452. PMCID: PMC7080116.
آمار
تعداد مشاهده مقاله: 126
تعداد دریافت فایل اصل مقاله: 72


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب