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The healthcare inequality among middle-aged and older adults in China: a comparative analysis between the full samples and the homogeneous population

Author

Listed:
  • Liping Fu

    (Tianjin University
    Qinghai Minzu University)

  • Ya’nan Fang

    (Tianjin University)

  • Yongqing Dong

    (Tianjin University)

Abstract

Background In the Chinese population, the middle-aged and older adults are the two main segments that utilize a large portion of healthcare. With the fast growth of the two segments, the demands of healthcare services increases significantly. The issue related to inequality in utilization of healthcare emerges with the growth and it deserves more attention. Most existing studies discuss overall inequality. Less attention is paid to inequality among subdivisions, that is, relative inequality. This study focuses on the inequality of healthcare utilization among the homogeneous population and the inequality of the full samples in China. Methods Data were obtained from four waves of the China Health and Retirement Longitudinal Study (CHARLS): 2011, 2013, 2015 and 2018. First, the Concentration Index (CI) was used to measure the inequality of outpatient, inpatient and preventive care for the samples, and regression analysis was applied to decompose the contributing factors of inequality. Then SOM is introduced to identify homogeneous population through clustering and measure the inequality in three types of healthcare utilization among homogeneous population. Based on this, the difference between absolute inequalities and relative inequalities was discussed. Results The preventive care is shown to have the highest degree of inequality inclined to the rich and has the largest increase (CI: 0.048 in 2011 ~ 0.086 in 2018); The inequality degree in outpatient care appears to be the smallest (CI: -0.028 in 2011 ~ 0.014 in 2018). The decomposition results show that age, education, income, chronic disease and self-reported health issues help explain a large portion of inequality in outpatient and inpatient care. And the contribution of socioeconomic factors and education to the inequality of preventive care is the largest. In regards to three types of healthcare among the homogeneous population, the degree of inequality seems to be higher among group with high socioeconomic status than those with lower socioeconomic status. In particular, for the people who are in the high socioeconomic group, the degree of inequality in preventive care is consistently higher than in outpatient and inpatient care. The inequality degree of preventive care in the low socioeconomic status group varies significantly with the flexibility of their response to policies. Conclusions Key policy recommendations include establishing a health examination card and continuously improving the fit of free preventive care with the needs of the middle-aged and older adults; developing CCB activities to avoid people’s excessive utilization in the high socioeconomic status group or insufficient utilization in the low socioeconomic status group; reasonable control of reimbursement and out-of-pocket payments.

Suggested Citation

  • Liping Fu & Ya’nan Fang & Yongqing Dong, 2022. "The healthcare inequality among middle-aged and older adults in China: a comparative analysis between the full samples and the homogeneous population," Health Economics Review, Springer, vol. 12(1), pages 1-17, December.
  • Handle: RePEc:spr:hecrev:v:12:y:2022:i:1:d:10.1186_s13561-022-00383-x
    DOI: 10.1186/s13561-022-00383-x
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    References listed on IDEAS

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    4. Yongqing Dong & Quheng Deng & Shaoping Li, 2022. "The Health Inequality of Children in China: A Regression-Based Decomposition Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(1), pages 137-159, February.
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    Cited by:

    1. Yunhan Wang & Nan Jiang & Haiya Shao & Zhonghua Wang, 2024. "Exploring unmet healthcare needs and associated inequalities among middle-aged and older adults in Eastern China during the progression toward universal health coverage," Health Economics Review, Springer, vol. 14(1), pages 1-12, December.

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