This study examines the changes in health care utilization for mental health disorders among patients who were diagnosed with depressive and/or anxiety disorders during the Great Recession 2007-2009 in the USA. Negative binomial regressions are used to estimate the association of the economic recession and mental health care use for females and males separately. Results show that prescription drug utilization (e.g., antidepressants, psychotropic medications) increased significantly during the economic recession 2007-2009 for both females and males. Physician visits for mental health disorders decreased during the same period. Results show that racial disparities in mental health care might have increased, while ethnic disparities persisted during the Great Recession. Future research should separately examine mental health care utilization by gender and race/ethnicity.

This study shows that the relationship between the Great Recession and health care spending varied along the health expenditure distribution. More variability was observed in the lower end of the health spending distribution compared to the higher end.

SUMMARY This study identifies differences in health insurance predictors and investigates the main reported reasons for lacking health insurance coverage between short-stayed (≤ 10 years) and long-stayed (> 10 years) US immigrant adults to parse the possible consequences of the Affordable Care Act among immigrants by length of stay and documentation status. Foreign-born adults (18–64 years of age) from the 2009 California Health Interview Survey are the study population. Health insurance coverage predictors and the main reasons for being uninsured are compared across cohorts and by documentation status. A logistic-regression two-part multivariate model is used to adjust for confounding factors. The analyses determine that legal status is a strong health insurance predictor, particularly among long-stayed undocumented immigrants. Immigration status is the main reported reason for lacking health insurance. Although long-stayed documented immigrants are likely to benefit from the Affordable Care Act implementation, undocumented immigrants and short-stayed documented immigrants may encounter difficulties getting health insurance coverage.

Background Traditionally, economic recessions have resulted in decreased utilization of preventive health services. Purpose To explore racial and ethnic differences in breast and cervical cancer screening rates before and during the Great Recession. Methods The Medical Expenditure Panel was the source for identifying 10,894 women, ages 50–74 for breast screening and 19,957 women, ages 21–65 for cervical screening. Survey years included 2004-2005 and 2009-2010. Dependent variables were as follows: 1) receipt of mammogram within the past 2 years; and 2) receipt of a Pap smear within the past 3 years. The interaction of the recession and the likelihood of screening between whites and minorities was analyzed. Multivariate regressions were applied to estimate the likelihood of screening for the two time periods while controlling for a recession variable. Results Nationally, breast and cervical cancer screening rates dropped during the recession period; white women contributed most to the decline. However, there were significant improvements in timely screening for both cancers among Hispanics during the recession period. After controlling for the recession, African American women were more likely to have timely screenings compared to white women. Screening rates during the recession were lowest in the South, Midwest and West. Conclusion There was a national reduction in the percentages of women who obtained timely breast and cervical screenings during the Great Recession. Outreach efforts are needed to ensure that women who were not screened during the recession are screened. Widespread education about the Affordable Care Act may be helpful.

Background The state of Maryland implemented innovative budgeting of outpatient and inpatient services in eight rural hospitals under the Total Patient Revenue (TPR) system in July, 2010. Methods This paper uses data on Maryland discharges from the 2009-2011 Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID). Individual inpatient discharges from eight treatment hospitals and three rural control hospitals (n=374,353) are analyzed. To get robust estimates and control for trends in the state, we also compare treatment hospitals to all hospitals in Maryland that report readmissions (n=1,997,164). Linear probability models using the difference-in-differences approach with hospital fixed effects are estimated to determine the effect of the innovative payment mechanisms on hospital readmissions, controlling for patient demographics and characteristics. Results Difference-in-differences estimates show that after implementation of TPR in the treatment hospitals, there were no statistically significant changes in the predicted probability of readmissions. Conclusions Early evidence from the TPR program shows that readmissions were not affected in the 18 months after implementation. Implications : As the health care system innovates, it is important to evaluate the success of these innovations. One of the goals of TPR was to lower readmission rates, however these rates did not show consistent downward trends after implementation. Our results suggest that payment innovations that provide financial incentives to ensure patients receive care in the most appropriate setting while maintaining quality of care may not have immediate effects on commonly used measures of hospital quality, particularly for rural hospitals that may lack coordinated care delivery infrastructure.