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Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China

BACKGROUND: Inequality of opportunity (IOp) stemming from social circumstances exists in outpatient service utilization for the multimorbid elderly in China. However, little is known regarding the magnitude of the IOp and its composition. Therefore, this study aims to measure the IOp in outpatient e...

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Autores principales: Zhang, Kangkang, You, Hua, Yu, Linxiang, Wu, Qifeng, Xu, Xinpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426157/
https://www.ncbi.nlm.nih.gov/pubmed/37580728
http://dx.doi.org/10.1186/s12939-023-01953-z
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author Zhang, Kangkang
You, Hua
Yu, Linxiang
Wu, Qifeng
Xu, Xinpeng
author_facet Zhang, Kangkang
You, Hua
Yu, Linxiang
Wu, Qifeng
Xu, Xinpeng
author_sort Zhang, Kangkang
collection PubMed
description BACKGROUND: Inequality of opportunity (IOp) stemming from social circumstances exists in outpatient service utilization for the multimorbid elderly in China. However, little is known regarding the magnitude of the IOp and its composition. Therefore, this study aims to measure the IOp in outpatient expenditure and provide potential pathways for policy reform by assessing the contribution of each circumstance. METHODS: This study included 3527 elderly aged ≥ 65 years with multimorbidity from the Chinese Longitudinal Healthy Longevity Study conducted in 2017–2018. An ordinary least squares regression model was used to analyze the circumstance-influencing factors of outpatient expenditure. The parametric approach was performed to quantify the IOp in outpatient expenditure and the Shapley value decomposition method was employed to determine the contribution of each circumstance. By extracting heterogeneity in the residual of the circumstance-dependent equation of outpatient expenditure across circumstance groups divided based on cluster analysis, we captured the effect of unobserved circumstances. RESULTS: Except for pension and distance to health facilities, all the associations between circumstance and outpatient expenditure were statistically significant. The inequality caused by circumstances accounted for 25.18% of the total inequality. The decomposition results revealed that the reimbursement rate contributed 82.92% of the IOp, followed by education duration (4.55%), household registration (3.21%), household income (3.18%), pension (1.49%), medical insurance (1.26%), physical labor (0.99%), unobserved circumstances (0.86%), distance to health facilities (0.83%) and region (0.71%). CONCLUSIONS: The priority of policy enhancement is to effectively improve the outpatient reimbursement benefit for treating chronic diseases. Additional crucial actions include enhancing the health literacy of the multimorbid elderly to promote the shift from medical needs to demands and accelerating the construction of rural capacity for providing high-quality healthcare to the elderly with multimorbidity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01953-z.
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spelling pubmed-104261572023-08-16 Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China Zhang, Kangkang You, Hua Yu, Linxiang Wu, Qifeng Xu, Xinpeng Int J Equity Health Research BACKGROUND: Inequality of opportunity (IOp) stemming from social circumstances exists in outpatient service utilization for the multimorbid elderly in China. However, little is known regarding the magnitude of the IOp and its composition. Therefore, this study aims to measure the IOp in outpatient expenditure and provide potential pathways for policy reform by assessing the contribution of each circumstance. METHODS: This study included 3527 elderly aged ≥ 65 years with multimorbidity from the Chinese Longitudinal Healthy Longevity Study conducted in 2017–2018. An ordinary least squares regression model was used to analyze the circumstance-influencing factors of outpatient expenditure. The parametric approach was performed to quantify the IOp in outpatient expenditure and the Shapley value decomposition method was employed to determine the contribution of each circumstance. By extracting heterogeneity in the residual of the circumstance-dependent equation of outpatient expenditure across circumstance groups divided based on cluster analysis, we captured the effect of unobserved circumstances. RESULTS: Except for pension and distance to health facilities, all the associations between circumstance and outpatient expenditure were statistically significant. The inequality caused by circumstances accounted for 25.18% of the total inequality. The decomposition results revealed that the reimbursement rate contributed 82.92% of the IOp, followed by education duration (4.55%), household registration (3.21%), household income (3.18%), pension (1.49%), medical insurance (1.26%), physical labor (0.99%), unobserved circumstances (0.86%), distance to health facilities (0.83%) and region (0.71%). CONCLUSIONS: The priority of policy enhancement is to effectively improve the outpatient reimbursement benefit for treating chronic diseases. Additional crucial actions include enhancing the health literacy of the multimorbid elderly to promote the shift from medical needs to demands and accelerating the construction of rural capacity for providing high-quality healthcare to the elderly with multimorbidity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-023-01953-z. BioMed Central 2023-08-14 /pmc/articles/PMC10426157/ /pubmed/37580728 http://dx.doi.org/10.1186/s12939-023-01953-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zhang, Kangkang
You, Hua
Yu, Linxiang
Wu, Qifeng
Xu, Xinpeng
Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title_full Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title_fullStr Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title_full_unstemmed Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title_short Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China
title_sort inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426157/
https://www.ncbi.nlm.nih.gov/pubmed/37580728
http://dx.doi.org/10.1186/s12939-023-01953-z
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