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Meta-Analysis
. 2024 Nov 13;24(1):212.
doi: 10.1186/s12873-024-01131-6.

Prolonged length of stay and associated factors among emergency department patients in Ethiopia: systematic review and meta-analysis

Affiliations
Meta-Analysis

Prolonged length of stay and associated factors among emergency department patients in Ethiopia: systematic review and meta-analysis

Temesgen Ayenew et al. BMC Emerg Med. .

Abstract

Background: The duration between a patient's arrival at the Emergency Department (ED) and their actual departure, known as the Emergency Department Length of Stay (EDLOS), can have significant implications for a patient's health. In Ethiopia, various studies have investigated EDLOS, but a comprehensive nationwide pooled prevalence of prolonged EDLOS, which varies across different locations, is currently lacking. Therefore, the objective of this systematic review and meta-analysis is to provide nationally representative pooled prevalence of prolonged EDLOS and identify associated factors.

Methods: In this study, we conducted a comprehensive systematic review and meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. We conducted a thorough search of numerous international databases, including PubMed/Medline, SCOPUS, Web of Science, and Google Scholar. The primary outcome was the prevalence of prolonged EDLOS. The secondary outcome was factors affecting the EDLOS. Random-effects model was used to since there was high heterogeneity. We also conducted subgroup analysis and meta-regression to investigate heterogeneity within the included studies. To assess publication bias, we used Egger's regression test and funnel plots. All statistical analyses were performed using STATA version 17.0 software to ensure accurate and reliable findings.

Result: We have identified eight articles that met our inclusion criteria with a total sample size of 8,612 participants. The findings of this systematic review and meta-analysis indicate that the pooled estimate for the prevalence of prolonged EDLOS is 63.67% (95% CI = 45.18, 82.16, I2 = 99.56%, P = 0.0001). The study identified several significant factors associated with prolonged EDLOS, including patients admitted to overcrowded emergency departments (OR = 5.25, 95% CI = 1.77, 15.58), delays in receiving laboratory findings (OR = 3.12, 95% CI = 2.16, 4.49), and delays in receiving radiological results (OR = 3.00, 95% CI = 2.16, 4.16).

Conclusion: In this review, the EDLOS was found to be very high. Overcrowding, delays in laboratory test findings, and delays in radiology test results make up the factors that have a statistically significant association with prolonged EDLOS. Given the high prevalence of prolonged EDLOS in this review, stakeholders should work to increase the timeliness of ED services in Ethiopia by proper disposition of non-emergency palliative patients to the appropriate destination, and implementing point-of-care testing and imaging.

Keywords: Associated factors; Emergency Department; Ethiopia; Length of Stay.

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Conflict of interest statement

Declarations Ethics approval and consent to participate Not applicable. Consent for publication Not Applicable. Competing interests The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA 2020 flow diagram showing the article selection process of the systematic review and meta analysis of prolonged EDLOS and associated factors in Ethiopia, 2023
Fig. 2
Fig. 2
Pooled prevalence of prolonged EDLOS in Ethiopia, 2023. The vertical red line represents the pooled effect size (prevalence) of EDLOS
Fig. 3
Fig. 3
Sensitivity (leave-one-out) analysis result for pooled prevalence of prolonged EDLOS in Ethiopia, 2023. The red line represents the pooled effect size
Fig. 4
Fig. 4
Shows the association between prolonged EDLOS overcrowded ED (A), delays in laboratory test results (B) and delays in radiologic imaging test results (C). CI represents confidence interval; when odds ratio (OR) < 1 it represents negative relationship, when OR = 1 then it indicates no association and when OR > 1 then it represents positive relationship

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References

    1. Miller BF, Keane CB. Encyclopedia and dictionary of medicine, nursing, and allied health. (No Title); 1992.
    1. Jarvis PRE. Improving emergency department patient flow. Clin Experimental Emerg Med. 2016;3(2):63. - PMC - PubMed
    1. Andersson J, et al. Long emergency department length of stay: a concept analysis. Int Emerg Nurs. 2020;53:100930. - PubMed
    1. Otto R, et al. Length of stay as quality indicator in emergency departments: analysis of determinants in the German Emergency Department Data Registry (AKTIN registry). Intern Emerg Med. 2022;17(4):1199–209. - PMC - PubMed
    1. FDRo E. National Hospital Performance Monitoring and Improvement Manual. Ethiopia: Medical Services Directorate Ethiopian Hospital Management Initiative; 2011.

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