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Healthcare system responsiveness in Jiangsu Province, China
BACKGROUND: The perceived responsiveness of a healthcare system reflects its ability to satisfy reasonable expectations of the public with respect to non-medical services. Recently, there has been increasing attention paid to responsiveness in evaluating the performance of a healthcare system in a v...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237227/ https://www.ncbi.nlm.nih.gov/pubmed/28086950 http://dx.doi.org/10.1186/s12913-017-1980-2 |
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author | Chao, Jianqian Lu, Boyang Zhang, Hua Zhu, Liguo Jin, Hui Liu, Pei |
author_facet | Chao, Jianqian Lu, Boyang Zhang, Hua Zhu, Liguo Jin, Hui Liu, Pei |
author_sort | Chao, Jianqian |
collection | PubMed |
description | BACKGROUND: The perceived responsiveness of a healthcare system reflects its ability to satisfy reasonable expectations of the public with respect to non-medical services. Recently, there has been increasing attention paid to responsiveness in evaluating the performance of a healthcare system in a variety of service settings. However, the factors that affect the responsiveness have been inconclusive so far and measures of improved responsiveness have not always thoroughly considered the factors. The aim of this study was to evaluate both the responsiveness of the healthcare system in Jiangsu Province, China, the factors that influence responsiveness and the measures of improved responsiveness considering it, as determined by a responsiveness survey. METHODS: A multistage, stratified random sampling method was used to select 1938 adult residents of Jiangsu Province in 2011. Face-to-face interviews were conducted using a self-designed questionnaire modeled on the World Health Organization proposal. The final analysis was based on 1783 (92%) valid questionnaires. Canonical correlation analysis was used to assess the factors that affect responsiveness. RESULTS: The average score of all responsiveness-related domains in the surveyed healthcare system was satisfactory (7.50 out of a maximum 10.0). The two highest scoring domains were dignity and confidentiality, and the two lowest scoring domains choice and prompt attention. The factors affecting responsiveness were age, regional economic development level, and geographic area (urban vs. rural). The responsiveness regarding basic amenities was rated worse by the elderly than by younger respondents. Responsiveness ranked better by those with a poorer economic status. Choice in cities was better than in rural regions. CONCLUSIONS: The responsiveness of the Jiangsu healthcare system was considered to be satisfactory but could be improved by offering greater choice and providing more prompt attention. Perceptions of healthcare system responsiveness differ with age, regional economic development level, and geographic area (urban vs. rural). Measures to increase the perceived level of responsiveness include better service at higher level hospitals, shorter waiting time, more hospitals in rural regions, an improved medical environment, and provision of infrastructures that makes the medical environments more comfortable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-1980-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5237227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52372272017-01-18 Healthcare system responsiveness in Jiangsu Province, China Chao, Jianqian Lu, Boyang Zhang, Hua Zhu, Liguo Jin, Hui Liu, Pei BMC Health Serv Res Research Article BACKGROUND: The perceived responsiveness of a healthcare system reflects its ability to satisfy reasonable expectations of the public with respect to non-medical services. Recently, there has been increasing attention paid to responsiveness in evaluating the performance of a healthcare system in a variety of service settings. However, the factors that affect the responsiveness have been inconclusive so far and measures of improved responsiveness have not always thoroughly considered the factors. The aim of this study was to evaluate both the responsiveness of the healthcare system in Jiangsu Province, China, the factors that influence responsiveness and the measures of improved responsiveness considering it, as determined by a responsiveness survey. METHODS: A multistage, stratified random sampling method was used to select 1938 adult residents of Jiangsu Province in 2011. Face-to-face interviews were conducted using a self-designed questionnaire modeled on the World Health Organization proposal. The final analysis was based on 1783 (92%) valid questionnaires. Canonical correlation analysis was used to assess the factors that affect responsiveness. RESULTS: The average score of all responsiveness-related domains in the surveyed healthcare system was satisfactory (7.50 out of a maximum 10.0). The two highest scoring domains were dignity and confidentiality, and the two lowest scoring domains choice and prompt attention. The factors affecting responsiveness were age, regional economic development level, and geographic area (urban vs. rural). The responsiveness regarding basic amenities was rated worse by the elderly than by younger respondents. Responsiveness ranked better by those with a poorer economic status. Choice in cities was better than in rural regions. CONCLUSIONS: The responsiveness of the Jiangsu healthcare system was considered to be satisfactory but could be improved by offering greater choice and providing more prompt attention. Perceptions of healthcare system responsiveness differ with age, regional economic development level, and geographic area (urban vs. rural). Measures to increase the perceived level of responsiveness include better service at higher level hospitals, shorter waiting time, more hospitals in rural regions, an improved medical environment, and provision of infrastructures that makes the medical environments more comfortable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-1980-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-13 /pmc/articles/PMC5237227/ /pubmed/28086950 http://dx.doi.org/10.1186/s12913-017-1980-2 Text en © The Author(s). 2017 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 Chao, Jianqian Lu, Boyang Zhang, Hua Zhu, Liguo Jin, Hui Liu, Pei Healthcare system responsiveness in Jiangsu Province, China |
title | Healthcare system responsiveness in Jiangsu Province, China |
title_full | Healthcare system responsiveness in Jiangsu Province, China |
title_fullStr | Healthcare system responsiveness in Jiangsu Province, China |
title_full_unstemmed | Healthcare system responsiveness in Jiangsu Province, China |
title_short | Healthcare system responsiveness in Jiangsu Province, China |
title_sort | healthcare system responsiveness in jiangsu province, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237227/ https://www.ncbi.nlm.nih.gov/pubmed/28086950 http://dx.doi.org/10.1186/s12913-017-1980-2 |
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