IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i22p4578-d288497.html
   My bibliography  Save this article

Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015

Author

Listed:
  • Yang Zhao

    (The Nossal Institute for Global Health, The University of Melbourne, Melbourne 3010, Australia
    WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, Melbourne 3010, Australia)

  • Ajay Singh Mahal

    (The Nossal Institute for Global Health, The University of Melbourne, Melbourne 3010, Australia)

  • Tilahun Nigatu Haregu

    (The Nossal Institute for Global Health, The University of Melbourne, Melbourne 3010, Australia
    WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, Melbourne 3010, Australia)

  • Ameera Katar

    (The Nossal Institute for Global Health, The University of Melbourne, Melbourne 3010, Australia)

  • Brian Oldenburg

    (The Nossal Institute for Global Health, The University of Melbourne, Melbourne 3010, Australia
    WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, Melbourne 3010, Australia)

  • Luwen Zhang

    (School of Health Services Management, Southern Medical University, Guangzhou 500000, Guangdong, China)

Abstract

Background: Hypertension is one of the most significant and common risk factors for cardiovascular disease, yet it remains poorly controlled in China. This study aims to examine trends and socioeconomic inequalities in the management of hypertension between 2011 and 2015 in China and to investigate the association between antihypertensive medication treatment and reduction of blood pressure, using nationally representative data. Methods: Concentration curve and concentration index were used to assess socioeconomic-related inequalities in hypertension care and health service utilisation. The fixed-effects analysis was performed to measure the impact of medication treatment on reduction of blood pressure among people with hypertension by using linear regression models. Results : Among hypertensive individuals, there were growing trends in the rates of awareness and treatment from 55.87% and 48.44% in 2011, to 68.31% in 2013 and 61.97% in 2015, respectively. The proportion of hypertension control was still below 30%. The fixed-effects models indicated that medication treatment was statistically significant and associated with the patients’ systolic blood pressure (β: −13.483; 95% CI: −15.672, −11.293) and diastolic blood pressure (β: −5.367; 95% CI: −6.390, −4.344). Conclusions: China has made good progress in the hypertension diagnosis, medication treatment and coverage of health services over the last 10 years; however, pro-rich inequalities in hypertension care still exist, and there is considerable progress to be made in the prevention, treatment and effective control of hypertension.

Suggested Citation

  • Yang Zhao & Ajay Singh Mahal & Tilahun Nigatu Haregu & Ameera Katar & Brian Oldenburg & Luwen Zhang, 2019. "Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4578-:d:288497
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/22/4578/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/22/4578/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wagstaff, Adam & Lindelow, Magnus & Jun, Gao & Ling, Xu & Juncheng, Qian, 2009. "Extending health insurance to the rural population: An impact evaluation of China's new cooperative medical scheme," Journal of Health Economics, Elsevier, vol. 28(1), pages 1-19, January.
    2. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    3. Yi Liao & Stuart Gilmour & Kenji Shibuya, 2016. "Health Insurance Coverage and Hypertension Control in China: Results from the China Health and Nutrition Survey," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-14, March.
    4. Yu-Quan Ma & Wen-Hua Mei & Ping Yin & Xiao-Hui Yang & Sana Kiani Rastegar & Jian-Dong Yan, 2013. "Prevalence of Hypertension in Chinese Cities: A Meta-Analysis of Published Studies," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-7, March.
    5. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications - Books, The World Bank Group, number 6896.
    6. Dongfeng Gu & Jiang He & Pamela G Coxson & Petra W Rasmussen & Chen Huang & Anusorn Thanataveerat & Keane Y Tzong & Juyang Xiong & Miao Wang & Dong Zhao & Lee Goldman & Andrew E Moran, 2015. "The Cost-Effectiveness of Low-Cost Essential Antihypertensive Medicines for Hypertension Control in China: A Modelling Study," PLOS Medicine, Public Library of Science, vol. 12(8), pages 1-19, August.
    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. Powell-Jackson, Timothy & Mazumdar, Sumit & Mills, Anne, 2015. "Financial incentives in health: New evidence from India's Janani Suraksha Yojana," Journal of Health Economics, Elsevier, vol. 43(C), pages 154-169.
    2. Mengna Luan & Wenjing Shi & Zhigang Tao & Hongjie Yuan, 2023. "When patients have better insurance coverage in China: Provider incentives, costs, and quality of care," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1073-1106, October.
    3. Härpfer, Marco & Cacace, Mirella & Rothgang, Heinz, 2009. "And fairness for all? Wie gerecht ist die Finanzierung im deutschen Gesundheitssystem? Eine Berechnung des Kakwani-Index auf Basis der EVS," Working papers of the ZeS 04/2009, University of Bremen, Centre for Social Policy Research (ZeS).
    4. Zijing Pan & Wanchun Xu & Zhong Li & Chengzhong Xu & Fangfang Lu & Pei Zhang & Liang Zhang & Ting Ye, 2020. "Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China," IJERPH, MDPI, vol. 17(3), pages 1-15, January.
    5. Feng, Jin & Song, Hong & Wang, Zhen, 2020. "The elderly's response to a patient cost-sharing policy in health insurance: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 189-207.
    6. Emily Gustafsson-Wright & Gosia Popławska & Zlata Tanović & Jacques Gaag, 2018. "The impact of subsidized private health insurance and health facility upgrades on healthcare utilization and spending in rural Nigeria," International Journal of Health Economics and Management, Springer, vol. 18(3), pages 221-276, September.
    7. Bredenkamp,Caryn & Buisman,Leander Robert, 2015. "Universal health coverage in the Philippines : progress on financial protection goals," Policy Research Working Paper Series 7258, The World Bank.
    8. Jianmei Zhao & Hai Zhong, 2015. "Medical expenditure in urban China: a quantile regression analysis," International Journal of Health Economics and Management, Springer, vol. 15(4), pages 387-406, December.
    9. Ning Neil Yu & Xi Zhu, 2018. "Affordable care encourages healthy living: Theory and evidence from China's new cooperative medical scheme," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 2051-2066, December.
    10. Azam, Mehtabul, 2018. "Does Social Health Insurance Reduce Financial Burden? Panel Data Evidence from India," World Development, Elsevier, vol. 102(C), pages 1-17.
    11. He, Huajing & Nolen, Patrick J., 2019. "The effect of health insurance reform: Evidence from China," China Economic Review, Elsevier, vol. 53(C), pages 168-179.
    12. Carine Milcent & Binzhen Wu, 2015. "How Do You Feel? The Effect of the New Cooperative Medical Scheme in China," Journal of Development Studies, Taylor & Francis Journals, vol. 51(12), pages 1585-1602, December.
    13. Bai, Jin & Li, Hua, 2024. "Effects of urban-rural medical insurance integration on health: Evidence from rural China," Journal of Asian Economics, Elsevier, vol. 92(C).
    14. Hongmei Cao & Xinpeng Xu & Hua You & Jinghong Gu & Hongyan Hu & Shan Jiang, 2022. "Healthcare Expenditures among the Elderly in China: The Role of Catastrophic Medical Insurance," IJERPH, MDPI, vol. 19(21), pages 1-20, November.
    15. Chantzaras, Athanasios E. & Yfantopoulos, John N., 2018. "Financial protection of households against health shocks in Greece during the economic crisis," Social Science & Medicine, Elsevier, vol. 211(C), pages 338-351.
    16. O'Donnell, Owen, 2024. "Health and health system effects on poverty: A narrative review of global evidence," Health Policy, Elsevier, vol. 142(C).
    17. Qin Zhou & Gordon G. Liu & Sam Krumholz, 2017. "Is Chinese National Health Insurance Effective in the Face of Severe Illness? A Perspective from Health Service Utilization and Economic Burden," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(3), pages 1307-1329, July.
    18. Sujin Kim & Soonman Kwon, 2014. "The effect of extension of benefit coverage for cancer patients on health care utilization across different income groups in South Korea," International Journal of Health Economics and Management, Springer, vol. 14(2), pages 161-177, June.
    19. Sarah Alkenbrack & Magnus Lindelow, 2015. "The Impact of Community‐Based Health Insurance on Utilization and Out‐of‐Pocket Expenditures in Lao People's Democratic Republic," Health Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 379-399, April.
    20. Jeannette Amaya Lara & Fernando Ruiz Gómez, 2011. "Determining factors of catastrophic health spending in Bogota, Colombia," International Journal of Health Economics and Management, Springer, vol. 11(2), pages 83-100, June.

    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:22:p:4578-:d:288497. 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.