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The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China

BACKGROUND: The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to eval...

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Autores principales: Ren, Weicun, Sun, Lei, Tarimo, Clifford Silver, Li, Quanman, Wu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145824/
https://www.ncbi.nlm.nih.gov/pubmed/34034724
http://dx.doi.org/10.1186/s12913-021-06520-2
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author Ren, Weicun
Sun, Lei
Tarimo, Clifford Silver
Li, Quanman
Wu, Jian
author_facet Ren, Weicun
Sun, Lei
Tarimo, Clifford Silver
Li, Quanman
Wu, Jian
author_sort Ren, Weicun
collection PubMed
description BACKGROUND: The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China. METHODS: We analyzed data from Henan Large Hospitals Patient Satisfaction Survey conducted in the year 2018 and included 630 outpatients. Structural Equation Model (SEM) was used to explore the relationship among evaluation indicators of outpatient satisfaction levels. We used Dynamic Matter-Element Analysis (DMA) to evaluate the status of outpatient satisfaction. Binary Logistic Regression (BLR) was adopted to estimate the impact of personal characteristics towards outpatient satisfaction. RESULTS: The overall score for outpatient satisfaction in large hospitals was 66.28±14.73. The mean outpatient satisfaction scores for normal-large, medium-large, and extra-large hospitals were 63.33±12.12, 70.11±16.10, 65.41±14.67, respectively, and were significantly different (F = 11.953, P < 0.001). Waiting time, doctor-patient communication, professional services, and accessibility for treatment information were shown to have directly positive correlations with outpatient satisfaction (r = 0.42, 0.47, 0.55, 0.46, all P < 0.05). Results from BLR analysis revealed that patients’ age and frequency of hospital visits were the main characteristics influencing outpatient satisfaction (P < 0.05). CONCLUSIONS: The outpatient satisfaction of large hospitals is moderately low. Hospital managers could shorten the waiting time for outpatients and improve the access to treatment information to improve the satisfaction of outpatients. It is also necessary to enhance service provision for outpatients under the age of 18 as well as the first-time patients.
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spelling pubmed-81458242021-05-25 The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China Ren, Weicun Sun, Lei Tarimo, Clifford Silver Li, Quanman Wu, Jian BMC Health Serv Res Research Article BACKGROUND: The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China. METHODS: We analyzed data from Henan Large Hospitals Patient Satisfaction Survey conducted in the year 2018 and included 630 outpatients. Structural Equation Model (SEM) was used to explore the relationship among evaluation indicators of outpatient satisfaction levels. We used Dynamic Matter-Element Analysis (DMA) to evaluate the status of outpatient satisfaction. Binary Logistic Regression (BLR) was adopted to estimate the impact of personal characteristics towards outpatient satisfaction. RESULTS: The overall score for outpatient satisfaction in large hospitals was 66.28±14.73. The mean outpatient satisfaction scores for normal-large, medium-large, and extra-large hospitals were 63.33±12.12, 70.11±16.10, 65.41±14.67, respectively, and were significantly different (F = 11.953, P < 0.001). Waiting time, doctor-patient communication, professional services, and accessibility for treatment information were shown to have directly positive correlations with outpatient satisfaction (r = 0.42, 0.47, 0.55, 0.46, all P < 0.05). Results from BLR analysis revealed that patients’ age and frequency of hospital visits were the main characteristics influencing outpatient satisfaction (P < 0.05). CONCLUSIONS: The outpatient satisfaction of large hospitals is moderately low. Hospital managers could shorten the waiting time for outpatients and improve the access to treatment information to improve the satisfaction of outpatients. It is also necessary to enhance service provision for outpatients under the age of 18 as well as the first-time patients. BioMed Central 2021-05-25 /pmc/articles/PMC8145824/ /pubmed/34034724 http://dx.doi.org/10.1186/s12913-021-06520-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ren, Weicun
Sun, Lei
Tarimo, Clifford Silver
Li, Quanman
Wu, Jian
The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title_full The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title_fullStr The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title_full_unstemmed The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title_short The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China
title_sort situation and influencing factors of outpatient satisfaction in large hospitals: evidence from henan province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145824/
https://www.ncbi.nlm.nih.gov/pubmed/34034724
http://dx.doi.org/10.1186/s12913-021-06520-2
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