IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i19p3728-d273253.html
   My bibliography  Save this article

Availability, Price and Affordability of Anticancer Medicines: Evidence from Two Cross-Sectional Surveys in the Jiangsu Province, China

Author

Listed:
  • Yulei Zhu

    (Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu 211166, China)

  • Ying Wang

    (Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu 211166, China)

  • Xiaoluan Sun

    (Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu 211166, China)

  • Xin Li

    (Department of Health Policy, School of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu 211166, China
    Department of Clinical Pharmacy, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 211166, China
    Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China)

Abstract

Objectives: With the increasing incidence of cancer, poor access to affordable anticancer medicines has been a serious public health problem in China. To help address this issue, we assessed the availability, price and affordability of pharmacotherapy for cancer in public hospitals in the Jiangsu Province, China. Methods: In 2012 and 2016, anticancer medicine availability and price information in the capital and five other cities was collected. A total of six cancer care hospitals, 26 tertiary general hospitals and 28 secondary general hospitals were sampled, using an adaptation of the World Health Organization/Health Action International methodology. Data was collected for the anticancer medicines in stock at the time of the surveys. Prices were expressed as inflation-adjusted median unit prices (MUPs). Medicine was affordable if the overall cost of all the prescribed anticancer medicines was less than 20% of the household’s capacity to pay. We used generalized estimating equations to estimate the significance of differences in availability from 2012 to 2016 and the Wilcoxon rank test to estimate the significance of differences in MUPs. Multivariate logistic regression was computed to measure predictors of affordability. Results: From 2012 to 2016 there was a significant decrease in the mean availability of originator brands (OBs) (from 7.79% to 5.71%, p = 0.012) and lowest-priced generics (LPGs) (36.29% to 32.67%, p = 0.009). The mean availability of anticancer medicines in secondary general hospitals was significantly lower than the cancer care, as well as in tertiary general hospitals. The MUPs of OBs (difference: −21.29%, p < 0.01) and their LPGs (−22.63%, p < 0.01) decreased significantly from 2012 to 2016. The OBs (16.67%) of all the anticancer medicines were found to be less affordable than LPGs (34.62% for urban residents and 30.77% for rural residents); their affordability varied among the different income regions. From 2012 to 2016, the proportion of LPGs with low availability and low affordability dropped from 30.77% to 19.23% in urban areas and 34.62% to 26.92% in rural areas, respectively. Generic substitution and medicine covered by basic medical insurance are factors facilitating affordability. Conclusion: There were concerning decreases in the availability of anticancer medicines in 2016 from already low availability in 2012. Anticancer medicines were more affordable for the patients in high-income regions than the patients in low-income regions. Governments should consider using their bargaining power to reduce procurement prices and abolish taxes on anticancer medicines. Policy should focus on the special health insurance plan for low-income patients with cancer. The goal of drug policy should ensure that first-line generic drugs are available for cancer patients and preferentially prescribed.

Suggested Citation

  • Yulei Zhu & Ying Wang & Xiaoluan Sun & Xin Li, 2019. "Availability, Price and Affordability of Anticancer Medicines: Evidence from Two Cross-Sectional Surveys in the Jiangsu Province, China," IJERPH, MDPI, vol. 16(19), pages 1-22, October.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3728-:d:273253
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/19/3728/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/19/3728/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qingyue Meng & Ling Xu, 2014. "Monitoring and Evaluating Progress towards Universal Health Coverage in China," PLOS Medicine, Public Library of Science, vol. 11(9), pages 1-3, September.
    2. Jianwei Deng & Huilin Tian & Yilun Guo & Tengyang Ma & Yangjie Sun & Shiyang Zhang & Tianan Yang & Xu Tian, 2018. "A retrospective and prospective assessment of the zero‐markup drug reform in China from the perspective of policy diffusion," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(4), pages 918-929, October.
    Full references (including those not matched with items on IDEAS)

    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. Kaushalendra Kumar & Ashish Singh & Santosh Kumar & Faujdar Ram & Abhishek Singh & Usha Ram & Joel Negin & Paul R Kowal, 2015. "Socio-Economic Differentials in Impoverishment Effects of Out-of-Pocket Health Expenditure in China and India: Evidence from WHO SAGE," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-19, August.
    2. Runguo Wu & Niying Li & Angelo Ercia, 2020. "The Effects of Private Health Insurance on Universal Health Coverage Objectives in China: A Systematic Literature Review," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    3. Wanyue Dong & Anthony B. Zwi & Ruhai Bai & Chi Shen & Jianmin Gao, 2021. "Benefits Associated with China’s Social Health Insurance Schemes: Trend Analysis and Associated Factors Since Health Reform," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    4. Lin Pan & Cong Wang & Xiaolin Cao & Huanhuan Zhu & Li Luo, 2022. "Unmet Healthcare Needs and Their Determining Factors among Unwell Migrants: A Comparative Study in Shanghai," IJERPH, MDPI, vol. 19(9), pages 1-18, May.
    5. Connolly, Sheelah & Wren, Maev-Ann, 2023. "Towards universal healthcare in Ireland – what can we learn from the literature?," Research Series, Economic and Social Research Institute (ESRI), number SUSTAT121, June.
    6. Cui, Kun & Li, Bo & Wang, Hanyang, 2021. "Quantitative analysis of health insurance reform in China: Pure consolidation or universal health insurance?," Economic Modelling, Elsevier, vol. 101(C).

    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:gam:jijerp:v:16:y:2019:i:19:p:3728-:d:273253. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.