Health and Health Care Disparities Among Homeless Women

While disparities in health and health care between vulnerable (e.g., minorities, low-income) and majority populations are well documented, less is known about disparities within these special populations that are large and diverse. Such knowledge is essential to determine the neediest within these generally needy populations, and to plan interventions to reduce their health and health care disparities. With data from 1,331 women residing in Los Angeles County California, in one of the largest, most comprehensive studies of the health of homeless women to date, this study examined the health and health care disparities among homeless African American, Latina, and white women. This study further explored if race/ethnicity and other factors that predispose homeless women to poor health, or enable them to obtain better health care, were associated with their unmet need for medical care. The study found that white, non-Latina women were more likely to report unmet need than African Americans and Latinas, and women suffering from drug abuse, violence, or depression were most in need of care. These findings should be considered in targeting and addressing the special needs of homeless women of different racial/ethnic groups.     

Revisiting the Relationship between Managed Care and Hospital Consolidation

Objective. This paper analyzes whether the rise in managed care during the 1990s caused the increase in hospital concentration.
Data Sources. We assemble data from the American Hospital Association, InterStudy and government censuses from 1990 to 2000.
Study Design. We employ linear regression analyses on long differenced data to estimate the impact of managed care penetration on hospital consolidation. Instrumental variable analogs of these regressions are also analyzed to control for potential endogeneity.
Data Collection. All data are from secondary sources merged at the level of the Health Care Services Area.
Principle Findings. In 1990, the mean population-weighted hospital Herfindahl–Hirschman index (HHI) in a Health Services Area was .19. By 2000, the HHI had risen to .26. Most of this increase in hospital concentration is due to hospital consolidation. Over the same time frame HMO penetration increased three fold. However, our regression analysis strongly implies that the rise of managed care did not cause the hospital consolidation wave. This finding is robust to a number of different specifications.     

Managed Care Quality of Care and Plan Choice in New York SCHIP

Objective. To examine whether low-income parents of children enrolled in the New York State Children's Health Insurance Program (SCHIP) choose managed care plans with better quality of care.
Data Sources. 2001 New York SCHIP evaluation data; 2001 New York State Managed Care Plan Performance Report; 2000 New York State Managed Care Enrollment Report.
Study Design. Each market was defined as a county. A final sample of 2,325 new enrollees was analyzed after excluding those in markets with only one SCHIP plan. Plan quality was measured using seven Consumer Assessment of Health Plans Survey (CAHPS) and three Health Plan Employer Data and Information Set (HEDIS) scores. A conditional logit model was applied with plan and individual/family characteristics as covariates.
Principle Findings. There were 30 plans in the 45 defined markets. The choice probability increased 2.5 percentage points for each unit increase in the average CAHPS score, and the association was significantly larger in children with special health care needs. However, HEDIS did not show any statistically significant association with plan choice.
Conclusions. Low-income parents do choose managed care plans with higher CAHPS scores for their newly enrolled children, suggesting that overall quality could improve over time because of the dynamics of enrollment.     

America's Health Centers: Reducing Racial and Ethnic Disparities in Perinatal Care and Birth Outcomes

Objective. To examine whether community health centers (CHCs) reduce racial/ethnic disparities in perinatal care and birth outcomes, and to identify CHC characteristics associated with better outcomes.
Background. Despite great national wealth, the U.S. continues to rank poorly relative to other industrialized nations on infant mortality and other birth outcomes, and with wide inequities by race/ethnicity. Disparities in primary care (including perinatal care) may contribute to disparities in birth outcomes, which may be addressed by CHCs that provide safety-net medical services to vulnerable populations.
Methods. Data are from annual Uniform Data System reports submitted to the Bureau of Primary Health Care over six years (1996–2001) by about 700 CHCs each year.
Results. Across all years, about 60% of CHC mothers received first-trimester prenatal care and more than 70% received postpartum and newborn care. In 2001, Asian mothers were the most likely to receive both postpartum and newborn care (81.7% and 80.3%), followed by Hispanics (75.0% and 76.3%), blacks (70.8% and 69.9%), and whites (70.7% and 66.7%). In 2001, blacks had higher rates of low birth weight (LBW) babies (10.4%), but the disparity in rates for blacks and whites was smaller in CHCs (3.3 percentage points) compared to national disparities for low-socioeconomic status mothers (5.8 percentage points) and the total population (6.2 percentage points). In CHCs, greater perinatal care capacity was associated with higher rates of first-trimester prenatal care, which was associated with a lower LBW rate.
Conclusion. Racial/ethnic disparities in certain prenatal services and birth outcomes may be lower in CHCs compared to the general population, despite serving higher-risk groups. Within CHCs, increasing first-trimester prenatal care use through perinatal care capacity may lead to further improvement in birth outcomes for the underserved.     

Measuring Racial/Ethnic Disparities across the Distribution of Health Care Expenditures

Objective. To assess whether black–white and Hispanic–white disparities increase or abate in the upper quantiles of total health care expenditure, conditional on covariates.
Data Source. Nationally representative adult population of non-Hispanic whites, African Americans, and Hispanics from the 2001–2005 Medical Expenditure Panel Surveys.
Study Design. We examine unadjusted racial/ethnic differences across the distribution of expenditures. We apply quantile regression to measure disparities at the median, 75th, 90th, and 95th quantiles, testing for differences over the distribution of health care expenditures and across income and education categories. We test the sensitivity of the results to comparisons based only on health status and estimate a two-part model to ensure that results are not driven by an extremely skewed distribution of expenditures with a large zero mass.
Principal Findings. Black–white and Hispanic–white disparities diminish in the upper quantiles of expenditure, but expenditures for blacks and Hispanics remain significantly lower than for whites throughout the distribution. For most education and income categories, disparities exist at the median and decline, but remain significant even with increased education and income.
Conclusions. Blacks and Hispanics receive significantly disparate care at high expenditure levels, suggesting prioritization of improved access to quality care among minorities with critical health issues.     

Medicaid Managed Care and Health Care for Children

Objective. Many states expanded their Medicaid managed care programs during the 1990s, causing concern about impacts on health care for affected populations. We investigate the relationship between Medicaid managed care enrollment and health care for children.
Data Sources and Measures. Repeated cross-sections of Medicaid-covered children under 18 years of age from the 1996/1997 and 1998/1999 Community Tracking Study Household Surveys ( n =2,602) matched to state-year CMS Medicaid managed care enrollment data. For each individual, we constructed measures of health care utilization (provider and emergency department visits, hospitalizations, surgeries); health care access (usual source of care, unmet medical needs, put-off needed care); and satisfaction (satisfaction overall, with doctor choice, and with last visit).
Study Design. Regression analysis of the relationship between within-state changes in Medicaid managed care enrollment rates and changes in mean utilization, access, and satisfaction measures for children covered by Medicaid, controlling for a range of potentially confounding factors.
Principal Findings. Increases in Medicaid health maintenance organization (HMO) enrollment are associated with less emergency room use, more outpatient visits, fewer hospitalizations, higher rates of reporting having put off care, and lower satisfaction with the most recent visit. Medicaid primary care case management (PCCM) plans are associated with increases in outpatient visits, but also with higher rates of reporting unmet medical needs, putting off care, and having no usual source of care.
Conclusions. Both Medicaid HMO and PCCM plans can have important impacts on health care utilization, access, and satisfaction. Some impacts may be positive (e.g., less ED use and more outpatient provider use), although concern about increasing challenges in access to care and satisfaction is also warranted.     

Addressing Racial and Ethnic Disparities in Health Care: Using Federal Data to Support Local Programs to Eliminate Disparities

To reduce racial and ethnic disparities in health care, managers, policy makers, and researchers need valid and reliable data on the race and ethnicity of individuals and populations. The federal government is one of the most important sources of such data. In this paper we review the strengths and weaknesses of federal data that pertain to racial and ethnic disparities in health care. We describe recent developments that are likely to influence how these data can be used in the future and discuss how local programs could make use of these data.     

Managed Care Organizational Characteristics and Health Care Use among Children with Special Health Care Needs

Objective. To examine the relationship between features of managed care organizations (MCOs) and health care use patterns by children.
Data Sources. Telephone survey data from 2,223 parents of children with special health care needs, MCO-administrator interview data, and health care claims data.
Study Design. Cross-sectional survey data from families about the number of consequences of their children's conditions and from MCO administrators about their plans' organizational features were used. Indices reflecting the MCO characteristics were developed using data reduction techniques. Hierarchical models were developed to examine the relationship between child sociodemographic and health characteristics and the MCO indices labeled: Pediatrician Focused (PF) Index, Specialist Focused (SF) Index, and Fee-for-Service (FFS) Index, and outpatient use rates and charges, inpatient admissions, emergency room (ER) visits, and specialty consultations.
Data Collection/Extraction Methods. The telephone and MCO-administrator survey data were linked to the enrollment and claims files.
Principal Findings. The child's age, gender, and condition consequences were consistent predictor variables related to health care use and charges. The PF Index was associated with decreased outpatient use rates and charges and decreased inpatient admissions. The SF Index was associated with increased ER visits and decreased specialty consultations, while the FFS Index was associated with increased outpatient use rates and charges.
Conclusion. After controlling for sociodemographic and health characteristics, the PF, SF, and FFS indices were significantly associated with children's health care use patterns.     

Problematic Notions in Dutch Health Care Package Decisions

This paper discusses the problematic and sometimes implicit nature of some central notions and criteria used in debates about inclusion (or exclusion) of health care services in the health care benefit package. An analysis of discussions about four health care services--lungtransplantation, statins, (sildenafil (viagra) and rivastigmine--illustrates a case-by-case approach and inconsistent use of criteria, which present a challenge to develop a decision-making procedure in which important criteria or central notions can be discussed explicitly.     

Evaluating Area-Based Socioeconomic Status Indicators for Monitoring Disparities within Health Care Systems: Results from a Primary Care Network

ObjectiveTo determine which area-based socioeconomic status (SES) indicator is best suited to monitor health care disparities from a delivery system perspective.ConclusionsArea-based SES indicators detected health outcome differences well and may be useful for monitoring disparities within health care systems. Our preferred indicator was ZIP-level median household income or percent poverty, using cut points.     

Assessing Racial/Ethnic Disparities in Treatment across Episodes of Mental Health Care

ObjectiveTo investigate disparities in mental health care episodes, aligning our analyses with decisions to start or drop treatment, and choices made during treatment.Study DesignWe analyzed whites, blacks, and Latinos with probable mental illness from Panels 9–13 of the Medical Expenditure Panel Survey, assessing disparities at the beginning, middle, and end of episodes of care (initiation, adequate care, having an episode with only psychotropic drug fills, intensity of care, the mixture of primary care provider (PCP) and specialist visits, use of acute psychiatric care, and termination).FindingsCompared with whites, blacks and Latinos had less initiation and adequacy of care. Black and Latino episodes were shorter and had fewer psychotropic drug fills. Black episodes had a greater proportion of specialist visits and Latino episodes had a greater proportion of PCP visits. Blacks were more likely to have an episode with acute psychiatric care.ConclusionsDisparities in adequate care were driven by initiation disparities, reinforcing the need for policies that improve access. Many episodes were characterized only by psychotropic drug fills, suggesting inadequate medication guidance. Blacks’ higher rate of specialist use contradicts previous studies and deserves future investigation. Blacks’ greater acute mental health care use raises concerns over monitoring of their treatment.     

Latina Self-Reported Mental Health and Delay in Health Care in a New Latino Destination

Understanding how depression and/or anxiety affects use of health care among Latinas in rapidly growing new Latino destinations, population where the growth rate of the Latino population exceeds the national average, may enhance community engagement efforts. Using community-based participatory research, a questionnaire assessing health care use was administered to 289 Latinas. Most (70%) reported delaying healthcare, and self-reported depression/anxiety was associated with a 3.1 fold (95% CI: 1.6–5.9) increase in delay, after adjusting for current health status, acculturation, age, education, and place of birth. Mental health disparities exist among Latinas, which are related to delays in use of health care. A gap exists regarding health education interventions for Latinas. More research is needed to identify successful models, especially in new Latino destinations as they may be particularly vulnerable to delay care.     

Post-Acute Care Use Associated with Medicare Shared Savings Program and Disparities

ObjectivesMedicare Shared Savings Program (MSSP) was implemented in 2012, but the impact of the MSSP on institutional post-acute care (PAC) use, and by race/ethnicity and payer status is less studied. We studied the impact of hospital participation in the MSSP on institutional PAC use and variations by race/ethnicity and payer status among 3 Medicare patient groups: ischemic stroke, hip fracture, and elective total joint arthroplasty (TJA).DesignA retrospective analysis of 2010–2016 Medicare Provider Analysis and Review files.Setting and ParticipantsMedicare fee-for-service patients originally admitted for ischemic stroke, hip fracture, or elective TJA in MSSP-participating hospitals or nonparticipating hospitals.MethodsPatient-level linear probability models with difference-in-differences approach were used to compare the changes in institutional PAC use in MSSP-participating hospitals with nonparticipating hospitals as well as to compare the changes in differences by race/ethnicity and payer status in institutional PAC use over time.ResultsHospital participation in MSSP was significantly associated with increased institutional PAC use for the ischemic stroke cohort by 1.5 percentage points [95% confidence interval (CI) 0.00–0.3, P < .05] compared with non-MSSP participating hospitals. Regarding variations by race/ethnicity and payer status, for the elective TJA patients, racial minority patients in MSSP-participating hospitals had 3.8 percentage points greater (95% CI 0.01–0.06, P < .01) in institutional PAC use than white patients. Also, for ischemic stroke cohort, dual-eligible patients in MSSP-participating hospitals had 2.0 percentage points greater (95% CI 0.00–0.04, P < .10) in institutional PAC use than Medicare-only patients.Conclusions and ImplicationsThis study found that hospital participation in the MSSP was associated with slightly increased institutional PAC use for ischemic stroke Medicare patients. Also, compared to non-MSSP participating hospitals, MSSP-participating hospitals were more likely to discharge racial minority patients for elective TJA and dual-eligible patients for ischemic stroke to institutional PAC.