Predictors of hospital length of stay and mortality among COVID‐19 inpatients during 2020–2021 in Hormozgan Province of Iran: A retrospective cohort study

Author:

Mastaneh Zahra1,Mouseli Ali2,Mohseni Shokrollah2,Dadipoor Sara2ORCID

Affiliation:

1. Department of Health Information Management and Technology, School of Allied Medical Sciences, Infectious and Tropical Diseases Research Center Hormozgan University of Medical Sciences Bandar Abbas Iran

2. Department of Public Health, School of Health, Social Determinants in Health Promotion Research Center, Hormozgan Health Institute Hormozgan University of Medical Sciences Bandar Abbas Iran

Abstract

AbstractBackground and AimsAbout one‐fifth of patients with COVID‐19 need to be hospitalized. Predicting factors affecting the hospital length of stay (LOS) can be effective in prioritizing patients, planning for services, and preventing the increase in LOS and death of patients. The present study aimed to identify the factors that predict LOS and mortality in COVID‐19 patients in a retrospective cohort study.MethodsA total of 27,859 patients were admitted to 22 hospitals from February 20, 2020 to June 21, 2021. The data collected from 12,454 patients were screened according to the inclusion and exclusion criteria. The data were captured from the MCMC (Medical Care Monitoring Center) database. The study tracked patients until their hospital discharge or death. Hospital LOS and mortality were assessed as the study outcomes.ResultsAs the results revealed, 50.8% of patients were male and 49.2% were female. The mean hospital LOS of the discharged patients was 4.94. Yet, 9.1% of the patients (n = 1133) died. Among the predictors of mortality and long hospital LOS were the age above 60, admission to the ICU, coughs, respiratory distress, intubation, oxygen level less than 93%, cigarette and drug abuse, and a history of chronic diseases. Masculinity, gastrointestinal symptoms, and cancer were the effective variables in mortality, and positive CT was a factor significantly affecting the hospital LOS.ConclusionPaying special attention to high‐risk patients and modifiable risk factors such as heart disease, liver disease, and other chronic diseases can diminish the complications and mortality rate of COVID‐19. Providing training, especially for those who care for patients experiencing respiratory distress such as nurses and operating room personnel can improve the qualifications and skills of medical staff. Also, ensuring the availability of sufficient supply of medical equipment is strongly recommended.

Funder

Hormozgan University of Medical Sciences

Publisher

Wiley

Subject

General Medicine

Reference43 articles.

1. Risk factors on admission associated with hospital length of stay in patients with COVID-19: a retrospective cohort study

2. COVID-Induced Economic Uncertainty

3. FergusonNM LaydonD Nedjati‐GilaniG et al. Impact of nonpharmaceutical interventions (NPIs) to reduce COVID‐19 mortality and healthcare demand.Imperial College COVID‐19 Response Team.2020;20(10.25561):77482.

4. World Health Organization.Coronavirus Disease (COVID‐19). Accessed February 13 2023.  https://www.who.int/emergencies/diseases/novel-coronavirus-2019

5. Predictors of Length of Hospital Stay, Mortality, and Outcomes Among Hospitalised COVID-19 Patients in Saudi Arabia: A Cross-Sectional Study

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