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Medical Care and Payment for Diabetes in China: Enormous Threat and Great Opportunity

Author

Listed:
  • Wenying Yang
  • Wenhui Zhao
  • Jianzhong Xiao
  • Rui Li
  • Ping Zhang
  • Katarzyna Kissimova-Skarbek
  • Erin Schneider
  • Weiping Jia
  • Linong Ji
  • Xiaohui Guo
  • Zhongyan Shan
  • Jie Liu
  • Haoming Tian
  • Li Chen
  • Zhiguang Zhou
  • Qiuhe Ji
  • Jiapu Ge
  • Gang Chen
  • Jonathan Brown

Abstract

Background: The Diabetes Impact Study followed up a large national population-based screening study to estimate the use of and expenditures for medical care caused by diabetes in China and to ascertain the use and cost of essential basic medicines and care. Methods: In 2009–10, the study team interviewed 1482 adults with diabetes and 1553 adults with glucose tolerance in the normal range from population-based random samples at 12 sites in China. The response rate was 67%. Findings: After adjusting for age, sex, and urban/rural location, people with diabetes received 1.93 times more days of inpatient treatment, 2.40 times more outpatient visits, and 3.35 times more medications than people with normal glucose tolerance (all p

Suggested Citation

  • Wenying Yang & Wenhui Zhao & Jianzhong Xiao & Rui Li & Ping Zhang & Katarzyna Kissimova-Skarbek & Erin Schneider & Weiping Jia & Linong Ji & Xiaohui Guo & Zhongyan Shan & Jie Liu & Haoming Tian & Li C, 2012. "Medical Care and Payment for Diabetes in China: Enormous Threat and Great Opportunity," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-13, September.
  • Handle: RePEc:plo:pone00:0039513
    DOI: 10.1371/journal.pone.0039513
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    References listed on IDEAS

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    1. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    2. Judith Banister & David E. Bloom & Larry Rosenberg, 2010. "Population Aging and Economic Growth in China," PGDA Working Papers 5310, Program on the Global Demography of Aging.
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    Cited by:

    1. Yunyu Huang & Pepijn Vemer & Jingjing Zhu & Maarten J Postma & Wen Chen, 2016. "Economic Burden in Chinese Patients with Diabetes Mellitus Using Electronic Insurance Claims Data," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-13, August.
    2. Clara Bermudez-Tamayo & Stéphane Besançon & Mira Johri & Sidibe Assa & Jonathan Betz Brown & Kaushik Ramaiya, 2017. "Direct and indirect costs of diabetes mellitus in Mali: A case-control study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.

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