Asian-Indian physicians' experience with managed care organizations

Racial and Ethnic Disparities in Health Care Access and Utilization among Medicaid Managed Care Beneficiaries

This quasi-experimental study examined the impact of a statewide integrated special needs program Health and Recovery Plan (HARP) for individuals with serious mental illness and identified racial and ethnic disparities in access to Medicaid services. Generalized estimating equation negative binomial models were used to estimate changes in service use, difference-in-differences, and difference-in-difference-in-differences in the pre- to post-HARP periods. Implementation of the special needs plan contributed to reductions in racial/ethnic disparities in access and utilization. Notable among those enrolled in the special needs plan was the declining Black-White disparities in emergency room (ER) visits and inpatient stays, but the disparity in non-behavioral health clinic visits remains. Also, the decline of Hispanic-White disparities in ER, inpatient, and clinic use was more evident for HARP-enrolled patients. Health equity policies are needed in the delivery of care to linguistically and culturally disadvantaged Medicaid beneficiaries.

Risk factors for low high-density lipoprotein among Asian Indians in the United States

AIM

To examine the differences in metabolic risk factors (RFs) by gender in the Asian Indian (AI) population in the United States.

METHODS

Using cross-sectional data from 1038 randomly selected Asian Indians, we investigated the relationship between metabolic syndrome (MetS) RFs, cardiovascular disease, and diabetes.

RESULTS

A greater percent of women in this group had increased waist circumference and low high density lipoprotein (HDL) levels than men, but AI males had increased blood glucose, increased blood pressure, and increased triglycerides compared to females. Those individuals who met the MetS criteria had increased cardiovascular disease. One of the biggest single RFs for cardiovascular disease and diabetes reported in the literature for AIs is low HDL.

CONCLUSION

Our results show that lack of knowledge about diabetes, low physical activity, increased body mass index, and age were the factors most significantly correlated with low HDL in this population. Future studies and prospective trials are needed to further elucidate causes of the MetS and diabetes in AIs.