IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0184866.html
   My bibliography  Save this article

The quality of invasive breast cancer care for low reimbursement rate patients: A retrospective study

Author

Listed:
  • Shaofei Su
  • Han Bao
  • Xinyu Wang
  • Zhiqiang Wang
  • Xi Li
  • Meiqi Zhang
  • Jiaying Wang
  • Hao Jiang
  • Wenji Wang
  • Siyang Qu
  • Meina Liu

Abstract

Though evidence-based treatments have been recommended for breast cancer, underuse of the treatments was still observed. To certain extent, patients’ access to care, which can be enhanced by increasing the coverage of health insurance, could account for the current underuse in recommended care. This study aimed to examine the association between different proportions of reimbursement and quality of recommended breast cancer care, as well as length of hospital stay. In this retrospective study, 3669 patients diagnosed with invasive breast cancer between 1 June, 2011 and 30 June, 2013 were recruited. Seven quality indicators from preoperative diagnosis procedures to adjuvant therapy and one composite indicator were selected as dependent variables. Logistic regression and generalized linear models were used to explore the association between quality of care and length of hospital stay with different reimbursement rates. Compared with UEBMI (urban employment basic medical insurance), which represented high level reimbursement rate, patients with lower rates of reimbursement were less likely to receive core biopsy, HER-2 (human epidermal growth factor receptor-2) testing, BCS (breast conserving surgery), SLNB (sentinel lymph nodes biopsy), adjuvant therapy and hormonal treatment. No significant difference in preoperative length of hospital stay was observed among the three insurance schemes, however URBMI (urban resident basic medical insurance) insured patients stayed longer for total length of hospital stay. Significant disparities in utilization of evidence-based breast cancer care among patients with different proportions of reimbursement were observed. Patients with lower rate of reimbursement were less likely to receive recommended care. Our findings could provide important support for further healthcare reform and quality improvement in breast cancer care.

Suggested Citation

  • Shaofei Su & Han Bao & Xinyu Wang & Zhiqiang Wang & Xi Li & Meiqi Zhang & Jiaying Wang & Hao Jiang & Wenji Wang & Siyang Qu & Meina Liu, 2017. "The quality of invasive breast cancer care for low reimbursement rate patients: A retrospective study," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-13, September.
    • Handle: RePEc:plo:pone00:0184866
    DOI: 10.1371/journal.pone.0184866
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0184866
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0184866&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0184866?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yu, Hao, 2015. "Universal health insurance coverage for 1.3 billion people: What accounts for China's success?," Health Policy, Elsevier, vol. 119(9), pages 1145-1152.
    2. Richardson, L.C. & Tian, L. & Voti, L. & Hartzema, A.G. & Reis, I. & Fleming, L.E. & MacKinnon, J., 2006. "The roles of teaching hospitals, insurance status, and race/ethnicity in receipt of adjuvant therapy for regional-stage breast cancer in Florida," American Journal of Public Health, American Public Health Association, vol. 96(1), pages 160-166.
    3. Li, Cheng & Yu, Xuan & Butler, James R.G. & Yiengprugsawan, Vasoontara & Yu, Min, 2011. "Moving towards universal health insurance in China: Performance, issues and lessons from Thailand," Social Science & Medicine, Elsevier, vol. 73(3), pages 359-366, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ying Wang & Yulei Zhu & Hang Shi & Xiaoluan Sun & Na Chen & Xin Li, 2019. "The Effect of the Full Coverage of Essential Medicines Policy on Utilization and Accessibility of Primary Healthcare Service for Rural Seniors: A Time Series Study in Qidong, China," IJERPH, MDPI, vol. 16(22), pages 1-14, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lavers, Tom, 2021. "Aiming for Universal Health Coverage through insurance in Ethiopia: State infrastructural power and the challenge of enrolment," Social Science & Medicine, Elsevier, vol. 282(C).
    2. Alex Jingwei He & Liang Ma, 2020. "Corporate policy entrepreneurship and cross‐boundary strategies: How a private corporation champions mobile healthcare payment innovation in China?," Public Administration & Development, Blackwell Publishing, vol. 40(1), pages 76-86, February.
    3. Zhan Wang & Niying Li & Mengsi Jiang & Keith Dear & Chee-Ruey Hsieh, 2017. "Records of medical malpractice litigation: A potential indicator of healthcare quality in China," WIDER Working Paper Series wp-2017-144, World Institute for Development Economic Research (UNU-WIDER).
    4. Jiang, Yawen & Ni, Weiyi, 2020. "Impact of supplementary private health insurance on hospitalization and physical examination in China," China Economic Review, Elsevier, vol. 63(C).
    5. Zhou, Wenhui & Wan, Qiang & Zhang, Ren-Qian, 2017. "Choosing among hospitals in the subsidized health insurance system of China: A sequential game approach," European Journal of Operational Research, Elsevier, vol. 257(2), pages 568-585.
    6. Xia, Fan & Xing, Jianwei & Xu, Jintao & Pan, Xiaochuan, 2022. "The short-term impact of air pollution on medical expenditures: Evidence from Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    7. Nolan, Anne & May, Peter & Matthews, Soraya & Normand, Charles & Kenny, Rose Anne & Ward, Mark, 2022. "Public health insurance and mortality in the older population: Evidence from the Irish Longitudinal Study on Ageing," Health Policy, Elsevier, vol. 126(3), pages 190-196.
    8. Samuel D. Towne & Xiaojun Liu & Rui Li & Matthew Lee Smith & Jay E. Maddock & Anran Tan & Samah Hayek & Shira Zelber-Sagi & Xiaoqing Jiang & Haotian Ruan & Zhaokang Yuan, 2021. "Social and Structural Determinants of Health Inequities: Socioeconomic, Transportation-Related, and Provincial-Level Indicators of Cost-Related Forgone Hospital Care in China," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
    9. Tianyuan Luo & Cesar L. Escalante, 2020. "Public Health Insurance and Farm Labor Supply: Evidence from China's Rural Health Insurance Reform," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(6), pages 101-124, November.
    10. Sha Chen & Zhiye Lin & Xiaoru Fan & Jushuang Li & Yao-Jie Xie & Chun Hao, 2022. "The Comparison of Various Types of Health Insurance in the Healthcare Utilization, Costs and Catastrophic Health Expenditures among Middle-Aged and Older Chinese Adults," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    11. Guangsheng Wan & Zixuan Peng & Yufeng Shi & Peter C. Coyte, 2020. "What Are the Determinants of the Decision to Purchase Private Health Insurance in China?," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
    12. Bredenkamp, Caryn & Evans, Timothy & Lagrada, Leizel & Langenbrunner, John & Nachuk, Stefan & Palu, Toomas, 2015. "Emerging challenges in implementing universal health coverage in Asia," Social Science & Medicine, Elsevier, vol. 145(C), pages 243-248.
    13. Wei Zheng & Patrick Paul Walsh, 2018. "Air pollution and health - A provincial level analysis of China," Working Papers 201819, Geary Institute, University College Dublin.
    14. Bairoliya, Neha & Miller, Ray, 2021. "Social insurance, demographics, and rural-urban migration in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    15. Niu, Geng & Wang, Qi & Li, Han & Zhou, Yang, 2020. "Number of brothers, risk sharing, and stock market participation," Journal of Banking & Finance, Elsevier, vol. 113(C).
    16. Xin Zhang & Xun Zhang & Yuehua Liu & Xintong Zhao & Xi Chen, 2023. "The morbidity costs of air pollution through the Lens of Health Spending in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1269-1292, July.
    17. Westmore, Ben, 2018. "Do government transfers reduce poverty in China? Micro evidence from five regions," China Economic Review, Elsevier, vol. 51(C), pages 59-69.
    18. Michael Howlett & M. Ramesh, 2016. "Achilles' heels of governance: Critical capacity deficits and their role in governance failures," Regulation & Governance, John Wiley & Sons, vol. 10(4), pages 301-313, December.
    19. Ghislando, S & Manachotphong, W & Perego, VME, 2013. "The impact of Universal Health Coverage on healthcare consumption and risky behaviours: evidence from Thailand," Working Papers 11200, Imperial College, London, Imperial College Business School.
    20. Yang Zhao & Lin Zhang & Yu Fu & Minyu Wang & Luwen Zhang, 2020. "Socioeconomic Disparities in Cancer Treatment, Service Utilization and Catastrophic Health Expenditure in China: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 17(4), pages 1-13, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0184866. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.