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Mortality rate, patient length of stay and medical cost prediction in different priority levels for patient admission to an intensive care unit

Fariba Hosseinpour (Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran)
Mahyar Seddighi (School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran)
Mohammad Amerzadeh (Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran)
Sima Rafiei (Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran)

International Journal of Human Rights in Healthcare

ISSN: 2056-4902

Article publication date: 23 August 2022

10

Abstract

Purpose

This study aimed to compare mortality rate, length of stay (LOS) and hospitalization costs at different priority levels for a patient admitted to an intensive care unit (ICU) at a public tertiary hospital in Qazvin, Iran. This study also aimed to predict influencing factors on patients’ mortality, ICU LOS and hospitalization costs in different admission groups.

Design/methodology/approach

The authors conducted a retrospective cohort study among patients who mainly suffered from internal diseases admitted to an ICU of a public hospital. This study was conducted among 127 patients admitted to ICU from July to September 2019. The authors categorized patients into four groups based on two crucial hemodynamic and respiratory status criteria. The authors used a logistic regression model to predict the likelihood of mortality in ICU admitted patients during hospitalizations for the four prioritization groups. Furthermore, the authors conducted a multivariate analysis using the “enter” method to identify risk factors for LOS.

Findings

Results showed a statistically significant relationship between the priority of being admitted to ICU and hospitalization costs. The authors’ findings revealed that age, LOS and levels of consciousness had a predictability role in determining in-hospital mortality. Besides, age, gender, consciousness level of patients and type of the disease were mentioned as affecting factors of LOS.

Originality/value

This study’s findings emphasize the necessity of categorizing patients according to specific criteria to efficiently use available resources to help health-care authorities reduce the costs and allocate the budget to different health sectors.

Keywords

Acknowledgements

The authors acknowledge all the hospital authorities who facilitated the data collection process in their research.

Citation

Hosseinpour, F., Seddighi, M., Amerzadeh, M. and Rafiei, S. (2022), "Mortality rate, patient length of stay and medical cost prediction in different priority levels for patient admission to an intensive care unit", International Journal of Human Rights in Healthcare, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJHRH-10-2021-0192

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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