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Objectives: This paper studies the institutional inequality that exists in the prevalence of diabetes and hypertension, as well as their diagnosis and medication management, between urban and rural residency status (hukou) holders in China. Methods: Exploiting the Chinese Health and Nutrition Survey, we primarily demonstrate that while a lower proportion of rural residency holders suffer from diabetes and hypertension, a larger proportion have never been diagnosed with these conditions and do not take medicine to control them. We explore the determinants of these disparities by the non-linear decomposition method. Results: Decomposition results illustrate that a large part of disparities in the prevalence of diabetes and hypertension can be explained by the differences in demographic structure and occupational socio-economic status. Regarding the ruralurban disparity in the under diagnosis and under-medication rates, the differences in demographic structure, household affluence, occupational socio-economic status and consumption patterns make the greatest contributions. Conclusions: This evidence suggests that improving the institutional economic inequality and enhancing the occupational mobility of rural residency holders are of paramount importance to mitigate any inequality in health and healthcare utilisation. [ABSTRACT FROM AUTHOR]

Objectives: To examine gender and national origin differences in the healthcare utilization of immigrants from the three largest populations in the U.S. today (Mexico, China, and India) and to determine if barriers to utilization operate similarly across groups. Methods: The analysis uses nationally-representative data from the 2003 New Immigrant Survey (NIS) to compare utilization behaviors among legal permanent residents from Mexico, China, and India (n = 2244). Conceptually, the study draws on Andersen’s Behavioral Model to hypothesize gender and national origin differences in utilization based on factors that might predispose, enable, or necessitate healthcare. Multivariate logistic regression models are used to predict the odds of having seen a doctor in the past year and to test whether obstacles to utilization differ across immigrant groups. Results: Chinese immigrants are less likely than Mexican and Indian immigrants to have seen a doctor in the past year, a finding that is largely driven by a lack of health insurance. Female immigrants are more likely than males to have done so, despite having fewer resources that enable access to care (e.g. income, English proficiency). Moreover, the relationship between gender and utilization is moderated by English language proficiency: among immigrants with low levels of proficiency, women are significantly more likely than men to have seen a doctor in the past year, while no difference exists between men and women who are proficient in English. This pattern is most evident among Mexican, and to a lesser extent, Indian immigrants. Conclusions: Barriers to immigrant healthcare utilization vary by gender and national origin. Research will need to continue documenting such variation in order to better inform policy makers and health practitioners of potential solutions for improving health outcomes in increasingly diverse immigrant communities. [ABSTRACT FROM AUTHOR]