Evidence map›Paper›PMID 42387384›Full record

ArticleInternational journal of emergency medicine2026

Patient satisfaction and its predictors in emergency department services at debre tabor comprehensive specialized hospital in Ethiopia: an ordinal logistic regression analysis.

Belayneh Dessie Kassa, Addisu Assfaw Ayen, Wondale Tsega Tebeje, Temesgen Birlie Asmare, Kumlachew Geta Belete, Bekalu Mekonen Belay

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Article in International journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Belayneh Dessie KassaDepartment of Emergency and Critical Care Medicine, Debre Tabor University, Debre Tabor, Ethiopia. Belayneh_dessie@yahoo.com.ORCID http://orcid.org/0000-0001-9952-0070
Addisu Assfaw AyenDepartment of Internal Medicine, Debre Tabor University, Debre Tabor, Ethiopia.
Wondale Tsega TebejeDepartment of Internal Medicine, Debre Tabor University, Debre Tabor, Ethiopia.
Temesgen Birlie AsmareDepartment of Anesthesia, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Kumlachew Geta BeleteDepartment of Anesthesia, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Bekalu Mekonen BelayDepartment of Adult Health Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

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6 · The paper itself

Abstract

backgroundPatient satisfaction is a key indicator of the quality of emergency department care, influencing health service utilization and outcomes. Evidence on patient satisfaction and its predictors in Ethiopian emergency settings remains limited. This study aimed to assess patient satisfaction and its predictors among adult patients attending the Emergency Department of Debre Tabor Comprehensive Specialized Hospital.

methodsAn institution-based cross-sectional study was conducted from August 1 to October 30, 2025, among patients attending the adult Emergency Department of Debre Tabor Comprehensive Specialized Hospital. A total of 394 participants were selected using systematic random sampling. Data were collected using an adapted Brief Emergency Department Patient Satisfaction Scale, comprising 20 items on a five-point Likert scale. Data were entered into EpiData 4.7 and analyzed using Stata 17. Ordinal logistic regression was performed to assess associations between independent variables and patient satisfaction. The proportional odds assumption was tested, and a partial proportional odds model was applied to variables that violated it. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported, and statistical significance was set at p < 0.05.

resultsAll 394 participants completed the survey. Overall, patient satisfaction was high, with 54.1% of respondents reporting very satisfied and 31.7% satisfied. In the multivariable analysis, longer waiting time (AOR = 0.97; 95% CI: 0.97-0.98), questionnaire completion with assistance (AOR = 0.41; 95% CI: 0.26-0.65), and evening visits (AOR = 0.39; 95% CI: 0.22-0.69) were associated with reduced odds of satisfaction. In contrast, admission to wards or intensive care units (AOR = 1.64; 95% CI: 1.04-2.58) and a second Emergency Department visit (AOR = 2.09; 95% CI: 1.13-3.86) were associated with increased satisfaction.

conclusionPatient satisfaction with emergency department services was generally high. Waiting time, time of visit, questionnaire completion method, admission status, and prior Emergency Department visits were significant predictors of satisfaction categories. Interventions aimed at reducing waiting times, optimizing service delivery during peak hours, and enhancing patient engagement are essential for improving the patient experience in emergency care settings.

Indexed as

Emergency departmentEthiopiaOrdinal logistic regressionPatient satisfaction

Identifiers

PMID42387384
PMCPMC13326300

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