Racial and Ethnic Disparities in Access to and Quality of Health Care

Reviews research on racial and ethnic disparities in health care access and quality and analyzes findings on the extent to which disparities can be attributed to factors other than race/ethnicity, such as insurance, socioeconomic status, and language

Do Patients Bypass Rural Hospitals? Determinants of Inpatient Hospital Choice in Rural California

Rural hospitals play a crucial role in providing healthcare to rural Americans, a vulnerable and underserved population; however, rural hospitals have faced threats to their financial viability and many have closed as a result. This paper examines the hospital characteristics that are associated with patients choosing rural hospitals, and sheds light on the types of patients who depend on rural hospitals for care and, hence, may be the most impaired by the closure of rural hospitals. Using data from California hospitals, the paper shows that patients were more likely to choose nearby hospitals, larger hospitals, and hospitals that offered more services and technologies. However, even after adjusting for these factors, patients had a propensity to bypass rural hospitals in favor of large urban hospitals. Offering additional services and technologies would increase the share of rural residents choosing rural hospitals only slightly.Rural hospitals, hospital choice, rural health

Individuals' Use of Care While Uninsured: Effects of Time Since Episode Inception and Episode Length

Few studies have addressed how use of care may vary over the course of an episode of being uninsured or across uninsured episodes of varying duration. This research models the probability that an uninsured individual has (a) any medical expenditures or charges, and (b) any office-based visit during each month of an uninsured episode. We find that the ultimate length of an individual's episode of being uninsured bears relatively little on individuals' use of healthcare in any particular month and that the probability of health care utilization rises during the first year of the episode, with more use in the second six months of the year compared to the first six months.

Does How Much and How You Pay Matter? Evidence from the Inpatient Rehabilitation Facility Prospective Payment System

We use the implementation of a new prospective payment system (PPS) for inpatient rehabilitation facilities (IRFs) to investigate the effect of changes in marginal and average reimbursement on costs. The results show that the IRF PPS led to a significant decline in costs and length of stay. Changes in marginal reimbursement associated with the move from a cost based system to a PPS led to a 7 to 11% reduction in costs. The elasticity of costs with respect average reimbursement ranged from 0.26 to 0.34. Finally, the IRF PPS had little or no impact on costs in other sites of care, mortality, or the rate of return to community residence.

Racial residential segregation, socioeconomic disparities, and the White-Black survival gap.

ObjectiveTo evaluate the association between racial residential segregation, a prominent manifestation of systemic racism, and the White-Black survival gap in a contemporary cohort of adults, and to assess the extent to which socioeconomic inequality explains this association.DesignThis was a cross sectional study of White and Black men and women aged 35-75 living in 102 large US Core Based Statistical Areas. The main outcome was the White-Black survival gap. We used 2009-2013 CDC mortality data for Black and White men and women to calculate age-, sex- and race adjusted White and Black mortality rates. We measured segregation using the Dissimilarity index, obtained from the Manhattan Institute. We used the 2009-2013 American Community Survey to define indicators of socioeconomic inequality. We estimated the CBSA-level White-Black gap in probability of survival using sequential linear regression models accounting for the CBSA dissimilarity index and race-specific socioeconomic indicators.ResultsBlack men and women had a 14% and 9% lower probability of survival from age 35 to 75 than their white counterparts. Residential segregation was strongly associated with the survival gap, and this relationship was partly, but not fully, explained by socioeconomic inequality. At the lowest observed level of segregation, and with the Black socioeconomic status (SES) assumed to be at the White SES level scenario, the survival gap is essentially eliminated.ConclusionWhite-Black differences in survival remain wide notwithstanding public health efforts to improve life expectancy and initiatives to reduce health disparities. Eliminating racial residential segregation and bringing Black socioeconomic status (SES) to White SES levels would eliminate the White-Black survival gap

Take-Up of Public Insurance and Crowd-out of Private Insurance Under Recent CHIP Expansions to Higher Income Children

We analyze the effects of states’ expansions of CHIP eligibility to children in higher income families during 2002-2009 on take-up of public coverage, crowd-out of private coverage, and rates of uninsurance. Our results indicate these expansions were associated with limited uptake of public coverage and only a two percentage point reduction in the uninsurance rate among these children. Because not all of the take-up of public insurance among eligible children is accounted for by children who transfer from being uninsured to having public insurance, our results suggest that there may be some crowd-out of private insurance coverage; the upper bound crowd-out rate we calculate is 46 percent.

Survival of Medicare Patients After Enrollment in Hospice Programs

Background: Each year more than 220,000 Medicare beneficiaries receive care from hospice programs designed to enhance the quality of the end of life. Enrollment requires certification by a physician that the patient has a life expectancy of less than six months. We examined how long before death patients enrolled in hospice programs. Methods: Using 1990 Medicare claims data, we analyzed the characteristics and survival of 6451 hospice patients followed for a minimum of 27 months with respect to mortality. Results: The patients' mean age was 76.4 years; 92.4 percent were white. Half the patients were women, and 80.2 percent had cancer of some type. The most common diagnoses were lung cancer (21.4 percent), colorectal cancer (10.5 percent), and prostate cancer (7.4 percent). The median survival after enrollment was only 36 days, and 15.6 percent of the patients died within 7 days. At the other extreme, 14.9 percent of the patients lived longer than six months. Survival varied substantially according to diagnosis, even after adjustment for age and coexisting conditions. The unadjusted survival after enrollment was shortest for those with renal failure, those with leukemia or lymphoma, and those with liver or biliary cancer; it was longest for those with chronic lung disease, those with dementia, and those with breast cancer. Patients at for-profit, larger, outpatient, or newer hospices lived longer after enrollment than those in other types of hospice programs. Conclusions: Most patients who enter hospice care do so late in the course of their terminal illnesses. The timing of enrollment in hospice programs varies substantially with the characteristics of the patients and the hospices.Sociolog

CHIP Expansions to Higher-Income Children in Three States: Profiles of Eligibility and Insurance Coverage

Summarizes findings on how changes in eligibility rules for children's public health insurance programs affected 2002-09 coverage rates and the number of uninsured children in Illinois, Pennsylvania, and Washington. Compares results by scope of reform

How Managed Care Growth Affects Where Physicians Locate Their Practices

Managed care has had a profound effect on physician practice. It has altered patterns in the use of physician services, and consequently, the practice and employment options available to physicians. But managed care growth has not been uniform across the United States, and has spawned wide geographic disparities in earning opportunities for generalists and specialists. This Issue Brief summarizes new information on how managed care has affected physicians’ labor market decisions and the impact of managed care on the number and distribution of physicians across the country