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Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China

BACKGROUND: Since 2013, China launched descending resources reform, which is a new attempt to correct unbalanced allocation of health resources through human capital spillovers and brand implantation from high-level hospitals. The purpose of this paper is to explore the patients’ hospital selection...

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Autores principales: SUN, Zesheng, WANG, Shuhong, ZHAO, Hongjun, ZHOU, Xu, ZHANG, Ludan, SHI, Jiongping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522119/
https://www.ncbi.nlm.nih.gov/pubmed/34663478
http://dx.doi.org/10.1186/s13690-021-00700-6
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author SUN, Zesheng
WANG, Shuhong
ZHAO, Hongjun
ZHOU, Xu
ZHANG, Ludan
SHI, Jiongping
author_facet SUN, Zesheng
WANG, Shuhong
ZHAO, Hongjun
ZHOU, Xu
ZHANG, Ludan
SHI, Jiongping
author_sort SUN, Zesheng
collection PubMed
description BACKGROUND: Since 2013, China launched descending resources reform, which is a new attempt to correct unbalanced allocation of health resources through human capital spillovers and brand implantation from high-level hospitals. The purpose of this paper is to explore the patients’ hospital selection response to this reform with the focus of low-level hospitals to better understand the effect of this reform on correcting regional inequality of health resources allocation. METHODS: The European Consumer Satisfaction Index model (ECSI) was used to design a questionnaire, and cross-sectional data from 17 hospitals were collected through 1287 questionnaires from Zhejiang Province. Patient hospital selection (loyalty) is measured using ordinary variables by considering patient willingness to choose a low-level hospital when suffering an illness or severe illness. Analysis of variance (ANOVA) and the structure equation model are applied to examine the effect of reforms on patient behavior. RESULTS: The descending resources reform promotes improvements in the capabilities and medical environment of low-level hospitals, and descending doctors also have high accessibility. Perceived quality, patient expectations, and hospital image have significant positive effects on patient satisfaction, and the explanatory power of brand implantation from cooperative high-level hospitals and descending doctors is stronger than the image of the low-level hospital itself. And descending resources reform and patient satisfaction have significant positive impacts on patient’s choice for low-level hospitals with the existence of mediating effect of satisfaction. CONCLUSIONS: This paper provides supporting empirical evidence of the descending resources reform’s impact on patients’ low-level hospital selection. This reform has been effective in improving the capabilities of low-level hospitals, and brand implantation of high-level hospitals shows strong explanatory power. China’s reform offers a distinct and valuable approach to correcting the uneven allocation of health resources. Besides, the findings also suggest that policymakers could pay more attention to the importance of information channels in impacting patient awareness, responses, and hospital selection.
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spelling pubmed-85221192021-10-18 Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China SUN, Zesheng WANG, Shuhong ZHAO, Hongjun ZHOU, Xu ZHANG, Ludan SHI, Jiongping Arch Public Health Research BACKGROUND: Since 2013, China launched descending resources reform, which is a new attempt to correct unbalanced allocation of health resources through human capital spillovers and brand implantation from high-level hospitals. The purpose of this paper is to explore the patients’ hospital selection response to this reform with the focus of low-level hospitals to better understand the effect of this reform on correcting regional inequality of health resources allocation. METHODS: The European Consumer Satisfaction Index model (ECSI) was used to design a questionnaire, and cross-sectional data from 17 hospitals were collected through 1287 questionnaires from Zhejiang Province. Patient hospital selection (loyalty) is measured using ordinary variables by considering patient willingness to choose a low-level hospital when suffering an illness or severe illness. Analysis of variance (ANOVA) and the structure equation model are applied to examine the effect of reforms on patient behavior. RESULTS: The descending resources reform promotes improvements in the capabilities and medical environment of low-level hospitals, and descending doctors also have high accessibility. Perceived quality, patient expectations, and hospital image have significant positive effects on patient satisfaction, and the explanatory power of brand implantation from cooperative high-level hospitals and descending doctors is stronger than the image of the low-level hospital itself. And descending resources reform and patient satisfaction have significant positive impacts on patient’s choice for low-level hospitals with the existence of mediating effect of satisfaction. CONCLUSIONS: This paper provides supporting empirical evidence of the descending resources reform’s impact on patients’ low-level hospital selection. This reform has been effective in improving the capabilities of low-level hospitals, and brand implantation of high-level hospitals shows strong explanatory power. China’s reform offers a distinct and valuable approach to correcting the uneven allocation of health resources. Besides, the findings also suggest that policymakers could pay more attention to the importance of information channels in impacting patient awareness, responses, and hospital selection. BioMed Central 2021-10-18 /pmc/articles/PMC8522119/ /pubmed/34663478 http://dx.doi.org/10.1186/s13690-021-00700-6 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
SUN, Zesheng
WANG, Shuhong
ZHAO, Hongjun
ZHOU, Xu
ZHANG, Ludan
SHI, Jiongping
Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title_full Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title_fullStr Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title_full_unstemmed Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title_short Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China
title_sort does descending health resources reform impact patient low-level hospital selection behavior? evidence from zhejiang, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522119/
https://www.ncbi.nlm.nih.gov/pubmed/34663478
http://dx.doi.org/10.1186/s13690-021-00700-6
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