The “Cadillac Tax” on Health Benefits in the United States Will Hit the Middle Class Hardest: Refuting the Myth That Health Benefit Tax Subsidies Are Regressive

Health financing strategies to reduce out-of-pocket burden in India: a comparative study of three states

Background

To achieve the Sustainable Development Goals, Indian States have implemented different strategies to arrest high out-of-pocket expenditure (OOPE) and to increase equity into healthcare system. Tamil Nadu (TN) and Rajasthan have implemented free medicine scheme in all public hospitals and West Bengal (WB) has devised Fair Price Medicine Shop (FPMS) scheme, a public-private-partnership model in the state. In this background, the objectives of the paper are to -

Study the utilization pattern of public in-patient care facilities for the states,

Examine the effectiveness of the strategies adopted by the states to arrest high OOPE and

Analyze the extent of equity in public in-patient care services in the states.

Methods

National Sample Survey (71st and 60th round) data, Detailed Demand for Grants of the state governments and the National Rural/Urban Health Mission data have been used for the study. Exploratory data analysis and benefit incidence analysis have been applied to estimate the utilization, OOPE and extend of equity in the states.

Results

The results show that overall utilization of public facilities in TN and Rajasthan has increased substantially; whereas, utilization of public facility has decreased in WB even among the poorest. In addition, OOPE for both medical and medicine is the highest in WB among three states for public sector hospitalizations. Surprisingly, OOPE on medicine is the highest for the poorest class of WB. Analysis showed that the mismatch between actual need and FPMS drug-list has led to high OOPE in the state. Overall, benefit incidence of public subsidy is the highest among the poorest class in all the states. However, geographical sector-wise inequity in public subsidy distribution persists in the states. Analysis of cost of inpatient care shows that TN provides the maximum subsidy for hospitalization and WB provides the minimum. An inverse relationship between utilization of inpatient care and public subsidy has been observed from the analysis.

Conclusion

In conclusion we could say that TN & Rajasthan have successfully implemented their health financing strategies to reduce the health expenditure burden. However, policy-level changes are required to improve the situation in WB.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3633-5) contains supplementary material, which is available to authorized users.

Factors Associated with Health Insurance Status in an Asian American Population in New York City: Analysis of a Community-Based Survey

BACKGROUND

Immigrants comprise approximately 13% of the US population and 33% lack health coverage. Asian Americans are the fastest growing immigrant group; many lack a usual source of care. This study examines factors associated with health insurance among Asian American immigrants living in New York City.

METHODS

Community needs assessments were conducted among Asian American subgroups in New York City from 2013 to 2015; analysis was completed in 2017 and 2018. Descriptive statistics examined factors associated with health insurance status while stratifying by Asian ethnic subgroup; multivariable logistic regression models further assessed these associations (p < 0.05 significance level).

RESULTS

Approximately 19% of the study population (n = 1399) was uninsured. Logistic regression models adjusted for all factors. Among East Asians, insurance status was associated with female sex (OR = 2.8, p = 0.005), excellent/very good health status (OR = 3.5, p = 0.014), and seeing a private doctor when sick or injured (OR = 3.2, p = 0.033). Among South Asians, insurance status was associated with high school/some college and college education (OR = 2.6 and 2.9, respectively, p = 0.039 and p = 0.021), having a routine health check in the past year (OR = 6.4, p < 0.001), no diabetes diagnosis (OR = 2.7, p = 0.030), and a tuberculosis diagnosis (OR = 4.7, p = 0.019). Among Southeast Asians, insurance status was associated with less than high school education (p < 0.05), living in the USA > 20 years (OR = 3.7, p = 0.009), having a routine health check in the past year (OR = 5.6, p = 0.025), and seeing a private doctor when sick or injured (OR = 2.6, p = 0.018).

CONCLUSIONS

Health insurance status was associated with differing factors among each subgroup. Findings may inform strategies to address challenges and barriers of healthcare access to immigrants, making healthcare more accessible to this underserved population.