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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-8145824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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