Dan Li
Jiaotong University, China
Posters & Accepted Abstracts: J Health Med Informat
Statement of the Problem: China's rural-to-urban migrant workers are getting old, but they can't enjoy their old
age. The health inequality among elderly rural-to-urban migrant workers (age 50 and above) place them at greater
health risks. This study evaluated the health inequality of elderly rural-to-urban migrant workers in China by
comparison with their rural counterparts (elderly non-migrant rural residents), and aimed to shed some light on the
heterogeneity of health inequality among these two elderly groups in China and identify determinants of the health
inequality.
Methodology: Applying data from the China Health and Retirement Longitudinal Study conducted in 2015,
coarsened exact matching method (CEM) was employed to control confounding factors. After matching, we included
349 elderly rural-to-urban migrant workers and 2792 elderly non-migrant rural residents. This study employed the
number of chronic disease and self-assessed of health status (SAH) to explore the health status. Concentration index
was employed to evaluate the health inequality, and was decomposed into its contributing factors to explain health
inequality.
Findings: After matching, the horizontal inequity indexes of chronic disease were -0.0217 and -0.0093 in elderly
rural-to-urban migrant workers and their rural counterparts; the horizontal inequity indexes of SAH were 0.0097
and 0.0047 respectively. Decomposition analysis in chronic disease for these two elderly groups revealed that
economic status was the primary contributor, followed by education, insurance, and age. Decomposition analysis in
SAH indicates that economic status, education and insurance were proved to be major contributors among elderly
rural-to-urban migrant workers, comparing with economic status, age and social activity compared to their rural
counterparts.
Conclusion & Significance: Pro-poor inequality on chronic disease condition and pro-rich inequality on SAH
among these two elderly groups were observed. Therefore, the health inequality of heterogeneity among these two
elderly groups is an important consideration in making social policy and intervention strategies.
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report