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Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China

Received: 28 January 2021    Accepted: 6 February 2021    Published: 20 February 2021
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Abstract

Objective Diabetes is one of the most serious and most critical health problems facing the world in the 21st century. The number of patients is increasing year by year, and it has a huge impact and burden on individuals and families, society and the country. This study estimates the medical expenses of diabetes in China and provides a basis for implementing diabetes prevention and treatment strategies. Methods Using the 2015 China Health and Retirement Longitudinal Study (CHARLS), the propensity score matching (PSM) was used to solve the sample selection bias to study the impact of diabetes on residents' outpatient, hospitalization and total direct health expenditure. At the same time, attribution analysis is used to measure the part of the health expenditure of Chinese diabetic patients attributable to diabetes. Results Diabetes significantly increased the health expenditure of residents. The outpatient, hospitalization and total direct health expenditures of Chinese diabetic patients were significantly higher than those of non-diabetic patients. Among them, the difference in hospitalization expenses was the largest; 62.69% of the total expenditures of Chinese diabetic patients were attributed to diabetes. Conclusion Diabetes medical expenses are high, and diabetes-related treatment costs are high. We should expand the support and awareness of diabetes-related medical insurance compensation policies, strengthen early diabetes intervention and health education, and improve drug compensation policies to effectively reduce diabetes medical expenses.

Published in International Journal of Health Economics and Policy (Volume 6, Issue 1)
DOI 10.11648/j.hep.20210601.12
Page(s) 14-22
Creative Commons

This is an Open Access article, 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 or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Diabetes, Medical Expenses, PSM, Attribution Analysis

References
[1] International Diabetes Federation. (2019). IDF Diabetes Atlas -9th edition. Available: https://www.diabetesatlas.org/upload/resources/material/20200302_133351_IDFATLAS9e-final-web.pdf. Accessed: Sep. 7, 2020.
[2] International Diabetes Federation. IDF Diabetes Atlas -6th edition. (2013). Available: https://www.diabetesatlas.org/upload/resources/previous/files/6/IDF%20Diabetes%20Atlas%206th%20edition%20-%20chinese.pdf. Accessed: Sep. 8, 2020.
[3] N Xu, K J Liu, X F Gu, et al. (2016). The Research on Total Medical Expenses of Patients with Diabetes. Chinese Health Economics, 35 (10): 65-68.
[4] X Y Ming, L Yang, Q Sun, et al. (2019). The Disease Economic Burden and Influence of Diabetes in Sichuan Province. Health Economics Research. 36 (01): 29-31+37.
[5] Y Leng, Y N Li, J Deng. (2019). Analysis of the Economic Burden of Diseases in Middle-aged and Elderly Patients with Diabetes in China. Health Economics Research. 36 (01): 29-31+37.
[6] X X Wang, D Hu, Y Zhu, et al. (2020). An Empirical Study on the Economic Burden of Diabetes in Jiangsu Province. Chinese Primary Health Care, 34 (02): 5-9.
[7] American Diabetes Association. (2013). Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 36: 1033–1046.
[8] American Diabetes Association. (2017). Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care, 2018: 917-928.
[9] H P Wang, Z Y Hou, Q Y Meng. (2013). A comparative study on medical expenditure for diabetes mellitus and non-diabetes mellitus in 9 provinces of China, between 2000 and 2009. Chinese Journal of Epidemiology, 34 (9): 911-913.
[10] Rosenbaum, P. R. & Rubin, D. B. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70 (1): 41-55.
[11] Josson B. (1998). The economic impact of diabetes. Diabetes Care, 21 suppl 3: C7-C10.
[12] M He, X J Tang, Q Long, et al. (2016). Influencing Factors of Diabetic Patients Applying for specific disease Health Insurance and its treatment cost. Journal of Zhejiang University (Medical Sciences), 045 (003): 323-329.
[13] Y Z Zhang, S P Yang. (2020). Does medical insurance promote the utilization of medical services for the rural elderly? ——Empirical analysis based on propensity score matching. Statistics and Management, 35 (05): 78-83.
[14] W Y Yang, W H Zhao, J Z Xiao, et al. (2017). Medical care and payment for diabetes in China: enormous threat and great opportunity. PLoS ONE7 (9).
[15] W H Zhao. (2012). The Study on Direct Economic Burden of Diabetes in China. Peking Union Medical College, 2012.
[16] Z W Zhang. (2007). The Study on the Burden of Diabetes in China. Fudan University, 2007.
[17] R Li, Bilik D, Brown MB, et al. (2013). Medical costs associated with type 2 diabetes complications and comorbidities. Am J Manag Care, 19 (5): 421–30.
[18] Marcellusi A, Viti R, Sciattella P, et al. Economic aspects in the management of diabetes in Italy. BMJ Open Diabetes Res Care.
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  • APA Style

    Li Liu, Xue Yu, Jing Deng. (2021). Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China. International Journal of Health Economics and Policy, 6(1), 14-22. https://doi.org/10.11648/j.hep.20210601.12

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    ACS Style

    Li Liu; Xue Yu; Jing Deng. Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China. Int. J. Health Econ. Policy 2021, 6(1), 14-22. doi: 10.11648/j.hep.20210601.12

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    AMA Style

    Li Liu, Xue Yu, Jing Deng. Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China. Int J Health Econ Policy. 2021;6(1):14-22. doi: 10.11648/j.hep.20210601.12

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  • @article{10.11648/j.hep.20210601.12,
      author = {Li Liu and Xue Yu and Jing Deng},
      title = {Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China},
      journal = {International Journal of Health Economics and Policy},
      volume = {6},
      number = {1},
      pages = {14-22},
      doi = {10.11648/j.hep.20210601.12},
      url = {https://doi.org/10.11648/j.hep.20210601.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hep.20210601.12},
      abstract = {Objective Diabetes is one of the most serious and most critical health problems facing the world in the 21st century. The number of patients is increasing year by year, and it has a huge impact and burden on individuals and families, society and the country. This study estimates the medical expenses of diabetes in China and provides a basis for implementing diabetes prevention and treatment strategies. Methods Using the 2015 China Health and Retirement Longitudinal Study (CHARLS), the propensity score matching (PSM) was used to solve the sample selection bias to study the impact of diabetes on residents' outpatient, hospitalization and total direct health expenditure. At the same time, attribution analysis is used to measure the part of the health expenditure of Chinese diabetic patients attributable to diabetes. Results Diabetes significantly increased the health expenditure of residents. The outpatient, hospitalization and total direct health expenditures of Chinese diabetic patients were significantly higher than those of non-diabetic patients. Among them, the difference in hospitalization expenses was the largest; 62.69% of the total expenditures of Chinese diabetic patients were attributed to diabetes. Conclusion Diabetes medical expenses are high, and diabetes-related treatment costs are high. We should expand the support and awareness of diabetes-related medical insurance compensation policies, strengthen early diabetes intervention and health education, and improve drug compensation policies to effectively reduce diabetes medical expenses.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Medical Expenses Analysis of Middle-Aged and Elderly Patients with Diabetes Mellitus in China
    AU  - Li Liu
    AU  - Xue Yu
    AU  - Jing Deng
    Y1  - 2021/02/20
    PY  - 2021
    N1  - https://doi.org/10.11648/j.hep.20210601.12
    DO  - 10.11648/j.hep.20210601.12
    T2  - International Journal of Health Economics and Policy
    JF  - International Journal of Health Economics and Policy
    JO  - International Journal of Health Economics and Policy
    SP  - 14
    EP  - 22
    PB  - Science Publishing Group
    SN  - 2578-9309
    UR  - https://doi.org/10.11648/j.hep.20210601.12
    AB  - Objective Diabetes is one of the most serious and most critical health problems facing the world in the 21st century. The number of patients is increasing year by year, and it has a huge impact and burden on individuals and families, society and the country. This study estimates the medical expenses of diabetes in China and provides a basis for implementing diabetes prevention and treatment strategies. Methods Using the 2015 China Health and Retirement Longitudinal Study (CHARLS), the propensity score matching (PSM) was used to solve the sample selection bias to study the impact of diabetes on residents' outpatient, hospitalization and total direct health expenditure. At the same time, attribution analysis is used to measure the part of the health expenditure of Chinese diabetic patients attributable to diabetes. Results Diabetes significantly increased the health expenditure of residents. The outpatient, hospitalization and total direct health expenditures of Chinese diabetic patients were significantly higher than those of non-diabetic patients. Among them, the difference in hospitalization expenses was the largest; 62.69% of the total expenditures of Chinese diabetic patients were attributed to diabetes. Conclusion Diabetes medical expenses are high, and diabetes-related treatment costs are high. We should expand the support and awareness of diabetes-related medical insurance compensation policies, strengthen early diabetes intervention and health education, and improve drug compensation policies to effectively reduce diabetes medical expenses.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • School of Public Health and Management, Chongqing Medical University, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing, China

  • School of Public Health and Management, Chongqing Medical University, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing, China

  • School of Public Health and Management, Chongqing Medical University, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing, China

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