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Effect of socioeconomic status on the healthcare-seeking behavior of migrant workers in China

Author

Listed:
  • Xuefeng Li
  • Li Deng
  • Han Yang
  • Hui Wang

Abstract

In recent years, China has made great efforts to resolve the health inequality caused by household registration restrictions, and the unequal allotment of health services faced by migrant workers has been effectively alleviated. However, inequality in health services may exist not only between migrant workers and local citizens but also among migrant workers. Thus, the unbalanced utilization of health services among migrant workers deserves attention. Using data from the 2017 China Migrants Dynamic Survey (CMDS), we examined the relationship between socioeconomic status (SES) and healthcare-seeking behavior through multivariate regression analysis. Then, from the perspective of SES, this study divided migrant workers into different groups to explore the characteristics of healthcare-seeking behavior in different groups. The results showed that SES had a significant relationship with healthcare-seeking behavior. Those with high SES were more likely to use high-quality health services. By subdividing the category of migrant workers, we found that the utilization of health services among migrant workers was unbalanced. Education and income had significant gradients in multiple measures of healthcare-seeking behavior, while occupation had no significant difference in the behavior. Migrant workers with higher income and education were more likely to use high-quality health services. Especially for migrant workers who had high incomes (above 15,000 CNY) or whose educational backgrounds were graduate level or above, their utilization of health resources was significantly higher than that of other groups. When designing particular policies to improve the healthcare-seeking behavior of different SES migrant workers, we should pay attention to the low-education groups and low-income groups. Policymakers can reduce the current health inequality of migrant workers by strengthening health education and increasing medical subsidies to achieve health equality among migrant workers and between migrant workers and local citizens.

Suggested Citation

  • Xuefeng Li & Li Deng & Han Yang & Hui Wang, 2020. "Effect of socioeconomic status on the healthcare-seeking behavior of migrant workers in China," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
  • Handle: RePEc:plo:pone00:0237867
    DOI: 10.1371/journal.pone.0237867
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    1. Qing Wang & Jay J Shen & Michelle Sotero & Casey A Li & Zhiyuan Hou, 2018. "Income, occupation and education: Are they related to smoking behaviors in China?," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
    2. Armenta, Amada & Sarabia, Heidy, 2020. "Receptionists, doctors, and social workers: Examining undocumented immigrant women's perceptions of health services," Social Science & Medicine, Elsevier, vol. 246(C).
    3. Smith, Sian K. & Dixon, Ann & Trevena, Lyndal & Nutbeam, Don & McCaffery, Kirsten J., 2009. "Exploring patient involvement in healthcare decision making across different education and functional health literacy groups," Social Science & Medicine, Elsevier, vol. 69(12), pages 1805-1812, December.
    4. Li, Xuefeng & Yang, Han & Wang, Hui & Jia, Jin, 2020. "Family socioeconomic status and home-based parental involvement: A mediation analysis of parental attitudes and expectations," Children and Youth Services Review, Elsevier, vol. 116(C).
    5. Wang, Qing & Zhang, Donglan & Hou, Zhiyuan, 2016. "Insurance coverage and socioeconomic differences in patient choice between private and public health care providers in China," Social Science & Medicine, Elsevier, vol. 170(C), pages 124-132.
    6. Liu, Yuanli & Berman, Peter & Yip, Winnie & Liang, Haocai & Meng, Qingyue & Qu, Jiangbin & Li, Zhonghe, 2006. "Health care in China: The role of non-government providers," Health Policy, Elsevier, vol. 77(2), pages 212-220, July.
    7. Zheng Xie & Adrienne N Poon & Zhijun Wu & Weiyan Jian & Kit Yee Chan, 2015. "Is Occupation a Good Predictor of Self-Rated Health in China?," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    8. Chen, Alice & Lakdawalla, Darius N., 2019. "Healing the poor: The influence of patient socioeconomic status on physician supply responses," Journal of Health Economics, Elsevier, vol. 64(C), pages 43-54.
    9. Vieri Lastrucci & Chiara Lorini & Saverio Caini & Florence Health Literacy Research Group & Guglielmo Bonaccorsi, 2019. "Health literacy as a mediator of the relationship between socioeconomic status and health: A cross-sectional study in a population-based sample in Florence," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-14, December.
    10. Qin, Xuezheng & Pan, Jay & Liu, Gordon G., 2014. "Does participating in health insurance benefit the migrant workers in China? An empirical investigation," China Economic Review, Elsevier, vol. 30(C), pages 263-278.
    11. Afridi, Farzana & Li, Sherry Xin & Ren, Yufei, 2015. "Social identity and inequality: The impact of China's hukou system," Journal of Public Economics, Elsevier, vol. 123(C), pages 17-29.
    12. Seeberg, Jens & Pannarunothai, Supasit & Padmawati, Retna Siwi & Trisnantoro, Laksono & Barua, Nupur & Pandav, Chandrakant S., 2014. "Treatment seeking and health financing in selected poor urban neighbourhoods in India, Indonesia and Thailand," Social Science & Medicine, Elsevier, vol. 102(C), pages 49-57.
    13. Liu, Zhiqiang, 2005. "Institution and inequality: the hukou system in China," Journal of Comparative Economics, Elsevier, vol. 33(1), pages 133-157, March.
    14. Håvard T Rydland & Erlend L Fjær & Terje A Eikemo & Tim Huijts & Clare Bambra & Claus Wendt & Ivana Kulhánová & Pekka Martikainen & Chris Dibben & Ramunė Kalėdienė & Carme Borrell & Mall Leinsalu & Ma, 2020. "Educational inequalities in mortality amenable to healthcare. A comparison of European healthcare systems," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
    15. Barman, Bikash & Saha, Jay & Chouhan, Pradip, 2020. "Impact of education on the utilization of maternal health care services: An investigation from National Family Health Survey (2015–16) in India," Children and Youth Services Review, Elsevier, vol. 108(C).
    16. Jimenez, Marcia P. & Wellenius, Gregory A. & Subramanian, S.V. & Buka, Stephen & Eaton, Charles & Gilman, Stephen E. & Loucks, Eric B., 2019. "Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study," Social Science & Medicine, Elsevier, vol. 241(C).
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    2. Haochuan Xu & Han Yang & Hui Wang & Xuefeng Li, 2021. "The Association of Residence Permits on Utilization of Health Care Services by Migrant Workers in China," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    3. Sarah Nurain Mohd Noh & Suhana Jawahir & Yeung R’ong Tan & Iqbal Ab Rahim & Ee Hong Tan, 2022. "The Health-Seeking Behavior among Malaysian Adults in Urban and Rural Areas Who Reported Sickness: Findings from the National Health and Morbidity Survey (NHMS) 2019," IJERPH, MDPI, vol. 19(6), pages 1-17, March.

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