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Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province
BACKGROUND: Diabetes is a chronic non-communicable disease that causes a substantial economic burden on diabetic suffers and their households. The aim of this study was to explore the prevalence, equity, and determinants of catastrophic health expenditure (CHE) among households with people with diab...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131345/ https://www.ncbi.nlm.nih.gov/pubmed/37098618 http://dx.doi.org/10.1186/s12913-023-09411-w |
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author | Dang, Ying Yang, Yinan Yang, Aimin Cao, Shuting Zhang, Jia Wang, Xiao Lu, Jie Hu, Xiaobin |
author_facet | Dang, Ying Yang, Yinan Yang, Aimin Cao, Shuting Zhang, Jia Wang, Xiao Lu, Jie Hu, Xiaobin |
author_sort | Dang, Ying |
collection | PubMed |
description | BACKGROUND: Diabetes is a chronic non-communicable disease that causes a substantial economic burden on diabetic suffers and their households. The aim of this study was to explore the prevalence, equity, and determinants of catastrophic health expenditure (CHE) among households with people with diabetes in Northwest China. METHODS: A total of 3,000 households were included in the 6th Health services survey in Gansu Province, China of which 270 households with people with diabetes. The equity of CHE was evaluated by concentration curve and concentration index (CI). We adopted the Pareto chart to analyze the main economic intervals of the occurrence of CHE. Finally, we combined the decision tree and logistic model and analyzed the determinants of the occurrence of CHE. RESULTS: The incidence of CHE at 15%, 25% and 40% were 75.19%, 58.89% and 35.19%, respectively. CHE tended to occur in households with a lower economic level, with the phenomenon being more pronounced at Z = 40%. The Pareto chart showed that households in the group with an annual per capita income of 0–740 USD (0–5,000 Chinese Yuan) were most likely to experience CHE. Both decision tree and logistic models suggested that economic level, comorbidities, and small household size were potential risk factors. In addition, the decision tree model also suggested the interaction between the influencing factor of health checks in the past 12 months and the number of chronic diseases. CONCLUSIONS: In summary, Households with people with diabetes were more likely to incur CHE. It is essential to focus on low- and middle-income households with people with diabetes, strengthen the management of patients with diabetes, and provide timely health interventions to reduce the occurrence of chronic comorbidity and the risk of CHE in households. |
format | Online Article Text |
id | pubmed-10131345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101313452023-04-27 Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province Dang, Ying Yang, Yinan Yang, Aimin Cao, Shuting Zhang, Jia Wang, Xiao Lu, Jie Hu, Xiaobin BMC Health Serv Res Research BACKGROUND: Diabetes is a chronic non-communicable disease that causes a substantial economic burden on diabetic suffers and their households. The aim of this study was to explore the prevalence, equity, and determinants of catastrophic health expenditure (CHE) among households with people with diabetes in Northwest China. METHODS: A total of 3,000 households were included in the 6th Health services survey in Gansu Province, China of which 270 households with people with diabetes. The equity of CHE was evaluated by concentration curve and concentration index (CI). We adopted the Pareto chart to analyze the main economic intervals of the occurrence of CHE. Finally, we combined the decision tree and logistic model and analyzed the determinants of the occurrence of CHE. RESULTS: The incidence of CHE at 15%, 25% and 40% were 75.19%, 58.89% and 35.19%, respectively. CHE tended to occur in households with a lower economic level, with the phenomenon being more pronounced at Z = 40%. The Pareto chart showed that households in the group with an annual per capita income of 0–740 USD (0–5,000 Chinese Yuan) were most likely to experience CHE. Both decision tree and logistic models suggested that economic level, comorbidities, and small household size were potential risk factors. In addition, the decision tree model also suggested the interaction between the influencing factor of health checks in the past 12 months and the number of chronic diseases. CONCLUSIONS: In summary, Households with people with diabetes were more likely to incur CHE. It is essential to focus on low- and middle-income households with people with diabetes, strengthen the management of patients with diabetes, and provide timely health interventions to reduce the occurrence of chronic comorbidity and the risk of CHE in households. BioMed Central 2023-04-25 /pmc/articles/PMC10131345/ /pubmed/37098618 http://dx.doi.org/10.1186/s12913-023-09411-w 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 Dang, Ying Yang, Yinan Yang, Aimin Cao, Shuting Zhang, Jia Wang, Xiao Lu, Jie Hu, Xiaobin Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title | Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title_full | Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title_fullStr | Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title_full_unstemmed | Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title_short | Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province |
title_sort | factors influencing catastrophic health expenditure of households with people with diabetes in northwest china-an example from gansu province |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131345/ https://www.ncbi.nlm.nih.gov/pubmed/37098618 http://dx.doi.org/10.1186/s12913-023-09411-w |
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