Evidence map›Paper›PMID 37324249›Full record

ArticleHealth science reports2023

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

Zahra Mastaneh, Ali Mouseli, Shokrollah Mohseni, Sara Dadipoor

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zahra MastanehDepartment 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.
Ali MouseliDepartment of Public Health, School of Health, Social Determinants in Health Promotion Research Center, Hormozgan Health Institute Hormozgan University of Medical Sciences Bandar Abbas Iran.
Shokrollah MohseniDepartment of Public Health, School of Health, Social Determinants in Health Promotion Research Center, Hormozgan Health Institute Hormozgan University of Medical Sciences Bandar Abbas Iran.
Sara DadipoorDepartment of Public Health, School of Health, Social Determinants in Health Promotion Research Center, Hormozgan Health Institute Hormozgan University of Medical Sciences Bandar Abbas Iran.ORCID 0000-0002-4205-6235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: About 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. Methods: A 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. Results: As 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 ( Conclusion: Paying 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.

Indexed as

COVID‐19Iranlength of staymortality ratepredictorsSARS‐CoV‐2

Identifiers

PMID37324249
PMCPMC10265171

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.