Comparing patients and families perceptions of satisfaction and predictors of overall satisfaction in the emergency department

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Date

2019

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Public Library of Science

Abstract

Study objective The aim of the study was to investigate factors that best predict patient’s satisfaction with their ED visit, as well as examine whether patients and their families perceived the factors related to satisfaction similarly. Methods This is a retrospective study where secondary data analysis was done on patient satisfaction data collected over three quarters for quality improvement purposes. Exploratory factor analysis (EFA) was conducted on the data from the first quarter to identify the factor structure, followed by confirmatory factor analysis (CFA) on the rest of the data to confirm the EFA factor structure. A structural equation model (SEM) was fitted where the factors predicted overall satisfaction with the ED visit. Finally, measurement invariance was conducted to examine if patients and families perceived the factors related to ED services alike. Results Two factors were found to be predictive of satisfaction: clinical team and system processes. The SEM showed that system process was a statistically significant predictor of overall satisfaction, while clinical team predicted overall satisfaction to a smaller extent. Multi-group CFA showed that the factor structure fitted neither family nor patient groups adequately. The instrument did not exhibit partial invariance. Conclusion This study found that system process was the best predictor of overall satisfaction. Furthermore, this study showed that the same instrument might not reliably compare the perceptions of patients and families. © 2019 Natesan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

Adolescent, Adult, Emergency medical services, Emergency service, hospital, Female, Humans, Male, Middle aged, Patient satisfaction, Quality improvement, Retrospective studies, Article, Confirmatory factor analysis, Controlled study, Data analysis, Emergency ward, Exploratory factor analysis, Human, Perception, Rest, Retrospective study, Structural equation modeling, Total quality management, Clinical trial, Comparative study, Emergency health service, Hospital emergency service

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