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. 2017 Feb 2;16(1):30.
doi: 10.1186/s12939-017-0523-0.

What limits the utilization of health services among china labor force? analysis of inequalities in demographic, socio-economic and health status

Liming Lu  1 , Jingchun Zeng  2 , Zhi Zeng  3
Affiliations

What limits the utilization of health services among china labor force? analysis of inequalities in demographic, socio-economic and health status

Liming Lu et al. Int J Equity Health. .

Abstract

Background: Inequalities in demographic, socio-economic and health status for China labor force place them at greater health risks, and marginalized them in the utilization of healthcare services. This paper identifies the inequalities which limit the utilization of health services among China labor force, and provides a reference point for health policy.

Methods: Data were collected from 23,505 participants aged 15 to 65, from the 2014 China Labor Force Dynamic Survey (a nationwide cross-sectional survey covering 29 provinces with a multi-stage cluster, and stratified, probability sampling strategy) conducted by Sun Yat-sen University. Logistic regression models were used to study the effects of demographic (age, gender, marital status, type of hukou and migration status), socio-economic (education, social class and insurance) and health status (self-perceived general health and several chronic illnesses) variables on the utilization of health services (two-week visiting and hospitalization during the past 12 months). Goodness of fit was assessed using Hosmer-Lemeshow test. Discrimination ability was assessed based on the area under the receiver operating curve (AUC).

Results: Migrants with more than 1 (OR 2.80, 95% CI 1.01 ~ 7.82) or none chronic illnesses (OR 1.26, 95% CI 1.01 ~ 7.82) are more likely to be two week visiting to the clinic than non-migrants; migrants with none chronic illnesses (OR 0.61, 95% CI 0.45 ~ 0.82) are less likely to be in hospitalization during the past 12 months than non-migrants. Female, elder, hukou of non-agriculture, higher education level, higher social class, purchasing more insurance and poorer self-perceived health were predictors for more utilization of health service. More insurance benefited more two-week visiting (OR 1.12, 95% CI 1.06 ~ 1.17) and hospitalization during the past 12 months (OR 1.12, 95% CI 1.07 ~ 1.18) for individuals with none chronic illness but not ≥1 chronic illnesses. All models achieved good calibration (Hosmer-Lemeshow test's P range of 0.258-0.987) and discrimination (AUC range of 0.626-0.725).

Conclusions: This study has shown that there are inequalities of demographic, socio-economic and health status in the utilization of health services for China labor force. Prudent health policy with equitable utilization of health services eliminating mentioned inequalities should be a priority in shaping China's healthcare system reform.

Keywords: China; Inequalities; Labor force; Utilization of health service.

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References

    1. Wang X, Wu S, Song Q, et al. Occupational health and safety challenges in China--focusing on township-village enterprises[J] Arch Environ Occup Health. 2011;66(1):3–11. doi: 10.1080/19338244.2010.486424. - DOI - PubMed
    1. Xie X, Wu Q, Hao Y, et al. Identifying determinants of socioeconomic inequality in health service utilization among patients with chronic non-communicable diseases in China[J] PLoS One. 2014;9(6):e100231. doi: 10.1371/journal.pone.0100231. - DOI - PMC - PubMed
    1. Jankovic J, Simic S, Marinkovic J. Inequalities that hurt: demographic, socio-economic and health status inequalities in the utilization of health services in Serbia[J] Eur J Public Health. 2010;20(4):389–396. doi: 10.1093/eurpub/ckp189. - DOI - PubMed
    1. Wang F, Liu L, Zhu X, et al. Analysis on the equity of essential public health services among different regions in china[J] Chin J Soc Med. 2011;28(6):421–423.
    1. Guo Q, Wang X, Li X, et al. The Lorenz curve, gini coefficient and their application study on fairness oF resource allocation for community health services[J] Chin Health Econ. 2006;25(1):50–53.

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