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Utilization of Health Services and Health-Related Quality of Life Research of Rural-to-Urban Migrants in China: A Cross-Sectional Analysis

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  • Ying Liang
  • Minglei Guo

Abstract

The number of China’s rural-to-urban migrants is increasing rapidly. Numerous rural-to-urban migrants have poor working and living conditions and lack local social security and support, so they are often faced with high public health risk, which is closely related to their health problems. In this study, we use the SF-36 scale to explore the rural-to-urban migrant health of Wuhan City. Gender, marital status, age, and residence register are the control variables. The different ways in dealing with their sickness, medical health service from companies for injuries, and selective tendency to medical institutions are three independent variables. We use descriptive statistical and regression analysis methods (ordinal logistics and stereotype ordinal) to explore the utilization of health services of rural-to-urban migrants and its effect on health-related quality of life (HRQOL). The score of the SF-36 Table shows that whether or not the companies provide medical care for injuries on the job has a very significant effect on the quality of life in the eight dimensions. The rural-to-urban migrants who see a doctor when they are sick have higher quality of life than those who do not; those who select city or county hospitals have higher quality of life than those who select primary hospitals. The costs and time consumed by medical treatment mainly affect their choice on whether or not they will seek medical attention and/or hospitals when they are sick. To a considerable extent, the utilization of health services remarkably affects HRQOL of rural-to-urban migrants. The quality of life on the SF-36 scale does not reflect the particularity of rural-to-urban migrants on health status and needs. However, based on further analysis of the data, improving the utilization and accessibility of health services for rural-to-urban migrants can guarantee their healthy life. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ying Liang & Minglei Guo, 2015. "Utilization of Health Services and Health-Related Quality of Life Research of Rural-to-Urban Migrants in China: A Cross-Sectional Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 277-295, January.
  • Handle: RePEc:spr:soinre:v:120:y:2015:i:1:p:277-295
    DOI: 10.1007/s11205-014-0585-y
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    References listed on IDEAS

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    1. Tianhui Chen & Lu Li, 2009. "Influence of health-related quality of life on health service utilization in addition to socio-demographic and morbidity variables among primary care patients in China," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(5), pages 325-332, October.
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    1. Liyan Huang & Rosli Said & Hong Ching Goh & Yu Cao, 2023. "The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    2. Tien Ha Duong, My & Nguyen, Quyen Le Hoang Thuy To & Nguyen, Phong Thanh, 2022. "Measurement Quality of Life of Rural to Urban Migrants in Ho Chi Minh City by Using Partial Least Square Structural Equation Model," MPRA Paper 116777, University Library of Munich, Germany, revised Oct 2022.
    3. Zhiming Cheng & Vinod Mishra & Ingrid Nielsen & Russell Smyth & Ben Zhe Wang, 2017. "Wellbeing in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 1-10, May.
    4. Haiyang Lu & Ivan T. Kandilov & Peng Nie, 2022. "Heterogeneous Impact of Social Integration on the Health of Rural-to-Urban Migrants in China," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    5. Qilong Cao & Ying Liang & Xueting Niu, 2017. "China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model," IJERPH, MDPI, vol. 14(9), pages 1-15, September.

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