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Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan

BACKGROUND: The referral service is a significant component of healthcare reform in China, and the measurement of patient satisfaction with the referral service process will help to improve the quality of referral medical delivery. Furthermore, the referral service in China includes inter-institutio...

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Autores principales: Zhang, Xinli, Wang, Tianjin, Yu, Yu, Zhao, Shuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223049/
https://www.ncbi.nlm.nih.gov/pubmed/30404644
http://dx.doi.org/10.1186/s12913-018-3460-8
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author Zhang, Xinli
Wang, Tianjin
Yu, Yu
Zhao, Shuzhen
author_facet Zhang, Xinli
Wang, Tianjin
Yu, Yu
Zhao, Shuzhen
author_sort Zhang, Xinli
collection PubMed
description BACKGROUND: The referral service is a significant component of healthcare reform in China, and the measurement of patient satisfaction with the referral service process will help to improve the quality of referral medical delivery. Furthermore, the referral service in China includes inter-institutional collaborations between hospitals at different levels and multi-nodes throughout the referral process. It is therefore necessary to identify the key nodes that affect patient satisfaction during the referral service process. METHODS: This study conducted a questionnaire survey of 110 patients to collect data regarding patient satisfaction at the following healthcare nodes: primary-level hospital, referral appointment registration, claim of appointment number in the outpatient department, examination service, admission service, and overall satisfaction during the referral service process. Correlation analysis and logistic regression methods were used to establish a mathematical model of patient satisfaction between five nodes and overall satisfaction. Additionally, a peak-end model was formed to identify the peak node impacting overall patient satisfaction during the referral service based on the sample data. RESULTS: Over 80% of referral patients rated the overall referral service as ‘good’. The correlation analysis revealed that there was a significant correlation between the satisfaction of each node and the overall satisfaction (P < 0.05). The results of the regression model showed that the satisfaction of five nodes determined the overall satisfaction and that “admission service at the higher-level hospital” exerted the greatest impact on overall satisfaction (β = 0.312), while “referral appointment registration” had the lowest influence on overall satisfaction (β = 0.177). The peak-end model also revealed that “admission service at the higher-level hospital” had a greater effect on overall satisfaction. CONCLUSION: Our study showed that the key nodes affecting patient satisfaction were “transferring service at the primary-level hospital” and “admission service at the higher-level hospital”. Furthermore, the efficacy of the referral services is determined by the gatekeepers’ management of the referral system at the primary-level hospital and the allocation and management of bed resources at the higher-level hospital. These findings can serve as a science-based guidance for them to improve their performance in inter-regional healthcare collaborations in the referral service process.
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spelling pubmed-62230492018-11-19 Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan Zhang, Xinli Wang, Tianjin Yu, Yu Zhao, Shuzhen BMC Health Serv Res Research Article BACKGROUND: The referral service is a significant component of healthcare reform in China, and the measurement of patient satisfaction with the referral service process will help to improve the quality of referral medical delivery. Furthermore, the referral service in China includes inter-institutional collaborations between hospitals at different levels and multi-nodes throughout the referral process. It is therefore necessary to identify the key nodes that affect patient satisfaction during the referral service process. METHODS: This study conducted a questionnaire survey of 110 patients to collect data regarding patient satisfaction at the following healthcare nodes: primary-level hospital, referral appointment registration, claim of appointment number in the outpatient department, examination service, admission service, and overall satisfaction during the referral service process. Correlation analysis and logistic regression methods were used to establish a mathematical model of patient satisfaction between five nodes and overall satisfaction. Additionally, a peak-end model was formed to identify the peak node impacting overall patient satisfaction during the referral service based on the sample data. RESULTS: Over 80% of referral patients rated the overall referral service as ‘good’. The correlation analysis revealed that there was a significant correlation between the satisfaction of each node and the overall satisfaction (P < 0.05). The results of the regression model showed that the satisfaction of five nodes determined the overall satisfaction and that “admission service at the higher-level hospital” exerted the greatest impact on overall satisfaction (β = 0.312), while “referral appointment registration” had the lowest influence on overall satisfaction (β = 0.177). The peak-end model also revealed that “admission service at the higher-level hospital” had a greater effect on overall satisfaction. CONCLUSION: Our study showed that the key nodes affecting patient satisfaction were “transferring service at the primary-level hospital” and “admission service at the higher-level hospital”. Furthermore, the efficacy of the referral services is determined by the gatekeepers’ management of the referral system at the primary-level hospital and the allocation and management of bed resources at the higher-level hospital. These findings can serve as a science-based guidance for them to improve their performance in inter-regional healthcare collaborations in the referral service process. BioMed Central 2018-11-07 /pmc/articles/PMC6223049/ /pubmed/30404644 http://dx.doi.org/10.1186/s12913-018-3460-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Xinli
Wang, Tianjin
Yu, Yu
Zhao, Shuzhen
Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title_full Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title_fullStr Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title_full_unstemmed Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title_short Key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in Sichuan
title_sort key nodes affecting patient satisfaction in a cross-regional referral service process: an empirical analysis study in sichuan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223049/
https://www.ncbi.nlm.nih.gov/pubmed/30404644
http://dx.doi.org/10.1186/s12913-018-3460-8
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