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Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis

BACKGROUND: China has one of the fastest paces of the growing aging population, High-level policymakers have recently recognized the aging population presents significant challenges to the Chinese healthcare system. In this context, the healthcare-seeking behaviors of the elderly population have bec...

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Autores principales: Yang, Shangguang, Liu, Luxue, Wang, Chunlan, Lo, Kevin, Wang, Danyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936711/
https://www.ncbi.nlm.nih.gov/pubmed/36800949
http://dx.doi.org/10.1186/s12889-023-15279-6
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author Yang, Shangguang
Liu, Luxue
Wang, Chunlan
Lo, Kevin
Wang, Danyang
author_facet Yang, Shangguang
Liu, Luxue
Wang, Chunlan
Lo, Kevin
Wang, Danyang
author_sort Yang, Shangguang
collection PubMed
description BACKGROUND: China has one of the fastest paces of the growing aging population, High-level policymakers have recently recognized the aging population presents significant challenges to the Chinese healthcare system. In this context, the healthcare-seeking behaviors of the elderly population have become an essential field of study. It is necessary to understand their access to health services and to improve their quality of life, as well as to help policymakers to formulate healthcare policy. The study empirically investigates the factors influencing the elderly population’s healthcare-seeking behaviors in Shanghai, China, especially in choosing the quality of healthcare facilities to visit. METHODS: We designed a cross-sectional study. The data of this study were derived from the “Shanghai elderly medical demand characteristics questionnaire” in the middle of November to early December 2017. A total of 625 individuals were included in the final sample. Logistic regression was adopted to investigate the differences in healthcare-seeking behaviors between elderly people when suffer from mild illness, severe illness and follow-up treatment. Next, the differences in gender were also discussed. RESULTS: Factors affecting the healthcare-seeking behaviors of the elderly differ in mild illness and severe illness situations. For mild illness, demographic factors (gender and age) and socioeconomic factors (income and employment) play an important role in elderly healthcare choices. Female and older elderlies are more likely to choose local, lower-quality facilities, whereas those with high income and private employment are more likely to choose higher-quality facilities. For severe illness, socioeconomic factors (income and employment) are important. Furthermore, individuals with basic medical insurance are more likely to choose lower-quality facilities. CONCLUSION: This study has shown that the affordability of public health services should be addressed. Medical policy support may be an important way to reduce the gap in access to medical services. We should pay attention to the gender differences in the elderly’s choice of medical treatment behavior, consider the differences in the needs of male and female elderly. our findings are only for elderly Chinese participants in the greater Shanghai area.
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spelling pubmed-99367112023-02-18 Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis Yang, Shangguang Liu, Luxue Wang, Chunlan Lo, Kevin Wang, Danyang BMC Public Health Research BACKGROUND: China has one of the fastest paces of the growing aging population, High-level policymakers have recently recognized the aging population presents significant challenges to the Chinese healthcare system. In this context, the healthcare-seeking behaviors of the elderly population have become an essential field of study. It is necessary to understand their access to health services and to improve their quality of life, as well as to help policymakers to formulate healthcare policy. The study empirically investigates the factors influencing the elderly population’s healthcare-seeking behaviors in Shanghai, China, especially in choosing the quality of healthcare facilities to visit. METHODS: We designed a cross-sectional study. The data of this study were derived from the “Shanghai elderly medical demand characteristics questionnaire” in the middle of November to early December 2017. A total of 625 individuals were included in the final sample. Logistic regression was adopted to investigate the differences in healthcare-seeking behaviors between elderly people when suffer from mild illness, severe illness and follow-up treatment. Next, the differences in gender were also discussed. RESULTS: Factors affecting the healthcare-seeking behaviors of the elderly differ in mild illness and severe illness situations. For mild illness, demographic factors (gender and age) and socioeconomic factors (income and employment) play an important role in elderly healthcare choices. Female and older elderlies are more likely to choose local, lower-quality facilities, whereas those with high income and private employment are more likely to choose higher-quality facilities. For severe illness, socioeconomic factors (income and employment) are important. Furthermore, individuals with basic medical insurance are more likely to choose lower-quality facilities. CONCLUSION: This study has shown that the affordability of public health services should be addressed. Medical policy support may be an important way to reduce the gap in access to medical services. We should pay attention to the gender differences in the elderly’s choice of medical treatment behavior, consider the differences in the needs of male and female elderly. our findings are only for elderly Chinese participants in the greater Shanghai area. BioMed Central 2023-02-17 /pmc/articles/PMC9936711/ /pubmed/36800949 http://dx.doi.org/10.1186/s12889-023-15279-6 Text en © The Author(s) 2023 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
Yang, Shangguang
Liu, Luxue
Wang, Chunlan
Lo, Kevin
Wang, Danyang
Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title_full Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title_fullStr Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title_full_unstemmed Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title_short Elderly people’s preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis
title_sort elderly people’s preferences for healthcare facilities in shanghai: gender features and influencing factor analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936711/
https://www.ncbi.nlm.nih.gov/pubmed/36800949
http://dx.doi.org/10.1186/s12889-023-15279-6
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