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Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach

The aging of the population is becoming an increasingly severe issue. How can we develop caring services for the elderly and promote healthy aging? Investigating care preferences is an essential step in addressing this issue. A self-designed questionnaire was employed to collect data online. The imp...

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Autores principales: Du, Jiusheng, Wang, Yu, Feng, Yunchao, Liu, Dingming, Yuan, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662850/
https://www.ncbi.nlm.nih.gov/pubmed/37478262
http://dx.doi.org/10.1097/MD.0000000000034374
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author Du, Jiusheng
Wang, Yu
Feng, Yunchao
Liu, Dingming
Yuan, Wenbin
author_facet Du, Jiusheng
Wang, Yu
Feng, Yunchao
Liu, Dingming
Yuan, Wenbin
author_sort Du, Jiusheng
collection PubMed
description The aging of the population is becoming an increasingly severe issue. How can we develop caring services for the elderly and promote healthy aging? Investigating care preferences is an essential step in addressing this issue. A self-designed questionnaire was employed to collect data online. The impact of personal circumstances on care preferences was ascertained using the chi-squared test and multivariate logistic regression. An optimal parameters-based geographical detector was introduced to examine the influence of spatially heterogeneous regional factors on care preferences. The online survey produced 1178 valid questionnaires. Home-based elderly care was the preference of 91.9% of respondents, followed by community-based care and medical-nursing care; institutional care was the least preferred alternative. Age, education, living style, and health states of the elderly significantly influenced the preferred care option. When compared to home-based elderly care, older respondents (odds ratio [OR] = 3.776) preferred institutional care, highly educated respondents preferred community-based care (higher education: OR = 5.206; secondary education: OR = 3.049) and medical-nursing care (higher education: OR = 4.484); the elderly living alone (OR = 0.101) excluded institutional care, and the elderly living with their children excluded non-family care method of institutional care (OR = 0.031) and medical-nursing care (OR = 0.391). Regional medical resources and old-age security significantly affect the preferences of the elderly (q-statistic [q] > 0.5); local economic development significantly affects community-based care (q > 0.6); the availability of financial subsidies significantly affects home-based care and medical-nursing care (q > 0.9); and the availability of institutional resources significantly affects the preference for institutional care (q > 0.8). We found that it is necessary to improve the level of medical care given by non-family members and care facilities, vigorously develop new methods of elderly care, promote humanistic care in non-family care settings, and increase available regional medical resources, financial subsidies, and social security. This study integrates economic and social perspectives to examine and analyze retirement willingness, thereby broadening the scope of social surveys and research methodologies, and offering valuable insights with potential directive implications.
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spelling pubmed-106628502023-07-21 Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach Du, Jiusheng Wang, Yu Feng, Yunchao Liu, Dingming Yuan, Wenbin Medicine (Baltimore) 6600 The aging of the population is becoming an increasingly severe issue. How can we develop caring services for the elderly and promote healthy aging? Investigating care preferences is an essential step in addressing this issue. A self-designed questionnaire was employed to collect data online. The impact of personal circumstances on care preferences was ascertained using the chi-squared test and multivariate logistic regression. An optimal parameters-based geographical detector was introduced to examine the influence of spatially heterogeneous regional factors on care preferences. The online survey produced 1178 valid questionnaires. Home-based elderly care was the preference of 91.9% of respondents, followed by community-based care and medical-nursing care; institutional care was the least preferred alternative. Age, education, living style, and health states of the elderly significantly influenced the preferred care option. When compared to home-based elderly care, older respondents (odds ratio [OR] = 3.776) preferred institutional care, highly educated respondents preferred community-based care (higher education: OR = 5.206; secondary education: OR = 3.049) and medical-nursing care (higher education: OR = 4.484); the elderly living alone (OR = 0.101) excluded institutional care, and the elderly living with their children excluded non-family care method of institutional care (OR = 0.031) and medical-nursing care (OR = 0.391). Regional medical resources and old-age security significantly affect the preferences of the elderly (q-statistic [q] > 0.5); local economic development significantly affects community-based care (q > 0.6); the availability of financial subsidies significantly affects home-based care and medical-nursing care (q > 0.9); and the availability of institutional resources significantly affects the preference for institutional care (q > 0.8). We found that it is necessary to improve the level of medical care given by non-family members and care facilities, vigorously develop new methods of elderly care, promote humanistic care in non-family care settings, and increase available regional medical resources, financial subsidies, and social security. This study integrates economic and social perspectives to examine and analyze retirement willingness, thereby broadening the scope of social surveys and research methodologies, and offering valuable insights with potential directive implications. Lippincott Williams & Wilkins 2023-07-21 /pmc/articles/PMC10662850/ /pubmed/37478262 http://dx.doi.org/10.1097/MD.0000000000034374 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 6600
Du, Jiusheng
Wang, Yu
Feng, Yunchao
Liu, Dingming
Yuan, Wenbin
Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title_full Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title_fullStr Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title_full_unstemmed Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title_short Research on care preferences for the elderly and influencing factors in Zhejiang Province: A statistical and geographical approach
title_sort research on care preferences for the elderly and influencing factors in zhejiang province: a statistical and geographical approach
topic 6600
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662850/
https://www.ncbi.nlm.nih.gov/pubmed/37478262
http://dx.doi.org/10.1097/MD.0000000000034374
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