BACKGROUND: The Affordable Care Act provides for the expansion of Medicaid, which may result in as many as 16 million people gaining health insurance coverage. Yet it is unclear to what extent this coverage expansion will meaningfully increase access to health care. OBJECTIVE: The objective of the study was to identify barriers that may persist even after individuals are moved to insurance and to explore racial/ethnic variation in problems accessing health care services. RESEARCH DESIGN: Data are from a 2008 cross-sectional mixed-mode survey (mail with telephone follow-up in 4 languages), which is unique in measuring a comprehensive set of barriers and in focusing on several select understudied ethnic groups. We examine racial/ethnic variation in cost and coverage, access, and provider-related barriers. The study adhered to a community-based participatory research process. SUBJECTS: Surveys were obtained from a stratified random sample of adults enrolled in Minnesota Health Care Programs who self-report ethnicity as white, African American, American Indian, Hispanic, Hmong, or Somali (n=1731). RESULTS: All enrollees reported barriers to getting needed care; enrollees from minority cultural groups (Hmong and American Indian in particular) were more likely to experience problems than whites. Barriers associated with cost and coverage were the most prevalent, with 72% of enrollees reporting 1 or more of these problems. Approximately 63% of enrollees reported 1 or more access barriers. Provider-related barriers were the least prevalent (about 29%) yet revealed the most pervasive disparities. CONCLUSIONS: Many challenges to care persist for publicly insured adults, particularly minority racial and ethnic groups. The ACA expansion of Medicaid, although necessary, is not sufficient for achieving improved and equitable access to care.

BACKGROUND: While Medicaid is an important source of insurance coverage for persons with disabilities, barriers remain to accessing care for this population. OBJECTIVES: This study addresses 3 research questions: (1) do adults with disabilities experience greater unmet need/delayed care?; (2) do barriers related to cost, providers, or structure vary by disability status?; and (3) do barriers mediate the relationship between disability and access to care? RESEARCH DESIGN: Data were obtained from a 2008 stratified random sample of Minnesota Health Care Program's nonelderly adult enrollees (n=1880). The survey was administered by mail, with a telephone follow-up for nonresponders. MEASURES: Disability is defined by self-report. Access to care is measured by reported delayed and unmet need for medical care within the past year. Respondents were asked about their experiences with a variety of cost-related, provider-related, and structural barriers to care. RESULTS: Respondents with a disability were more likely to experience delayed (40%) and unmet need (23%) for medical care than persons without disabilities (24% and 10%, respectively). Persons with disabilities also reported multiple barriers to health care, especially structural barriers, such as making a timely appointment and accessing transportation (74% vs. 59%). The greater likelihood of facing a structural barrier partially explained increased risk of delayed or unmet care among adults with disabilities. CONCLUSIONS: Disparities in access to health care based on disability status remain even for persons who have insurance. These disparities deserve further research and policy attention to better address the particular needs of this population.

PURPOSE: Little is known about mental health disorders (MHDs) and their associated health care expenditures for the dual eligible elders across long-term care (LTC) settings. We estimated the 12-month diagnosed prevalence of MHDs among dual eligible older adults in LTC and non-LTC settings and calculated the average incremental effect of MHDs on medical care, LTC, and prescription drug expenditures across LTC settings. METHODS: Participants were fee-for-service dual eligible elderly beneficiaries from 7 states. We obtained their 2005 Medicare and Medicaid claims data and LTC program participation data from federal and state governments. We grouped beneficiaries into non-LTC, community LTC, and institutional LTC groups and identified enrollees with any of 5 MHDs (anxiety, bipolar, major depression, mild depression, and schizophrenia) using the International Classification of Diseases Ninth Revision codes associated with Medicare and Medicaid claims. We obtained medical care, LTC, and prescription drug expenditures from related claims. RESULTS: Thirteen percent of all dual eligible elderly beneficiaries had at least 1 MHD diagnosis in 2005. Beneficiaries in non-LTC group had the lowest 12-month prevalence rates but highest percentage increase in health care expenditures associated with MHDs. Institutional LTC residents had the highest prevalence rates but lowest percentage increase in expenditures. LTC expenditures were less affected by MHDs than medical and prescription drug expenditures. IMPLICATIONS: MHDs are prevalent among dual eligible older persons and are costly to the health care system. Policy makers need to focus on better MHD diagnosis among community-living elders and better understanding in treatment of MHDs in LTC settings.

BACKGROUND: Dual eligible Medicare and Medicaid beneficiaries consume disproportionate shares of both programs. OBJECTIVES: To compare Medicare and Medicaid expenditures of elderly dual eligible beneficiaries with non-dual eligible beneficiaries based on their long-term care (LTC) use. RESEARCH DESIGN: Secondary analysis of linked MAX and Medicare data in seven states. SUBJECTS: Dual eligible adults (65+) receiving LTC in institutions, in the community, or not at all; and Medicare non-dual eligibles. MEASURES: Medicaid acute medical and LTC expenditures per beneficiary year, Medicare expenditures. RESULTS: Among dual eligibles and non-dual eligibles, the average number of diseases and case mix scores are higher for LTC users. Adjusting for case mix virtually eliminates the difference for medical costs, but not for LTC expenditures. Adjusting for LTC status reduces the difference in LTC costs, but increases the difference in medical costs. CONCLUSIONS: Efforts to control costs for dual eligibles should target those in LTC while better coordinating medical and LTC expenditures.

Areal interpolation transforms data for a variable of interest from a set of source zones to estimate the same variable's distribution over a set of target zones. One common practice has been to guide interpolation by using ancillary control zones that are related to the variable of interest's spatial distribution. This guidance typically involves using source zone data to estimate the density of the variable of interest within each control zone. This article introduces a novel approach to density estimation, the geographically weighted expectation-maximization (GWEM) algorithm, which combines features of two previously used techniques, the expectation-maximization (EM) algorithm and geographically weighted regression. The EM algorithm provides a framework for incorporating proper constraints on data distributions, and using geographical weighting allows estimated control-zone density ratios to vary spatially. We assess the accuracy of GWEM by applying it with land-use/land-cover ancillary data to population counts from a nationwide sample of 1980 United States census tract pairs. We find that GWEM generally is more accurate in this setting than several previously studied methods. Because target-density weighting (TDW)-using 1970 tract densities to guide interpolation-outperforms GWEM in many cases, we also consider two GWEM-TDW hybrid approaches, and find them to improve estimates substantially.

OBJECTIVES: Childbirth is the leading reason for hospitalization in the United States, and maternity related expenditures are substantial for many health insurance programs, including Medicaid. We studied the relationship between primary payer and trends in hospital-based childbirth care. STUDY DESIGNS: Retrospective analysis of hospital discharge data from the Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project, a 20% stratified sample of US hospitals. METHODS: Data on 6,717,486 hospital-based births for the years 2002 through 2009 came from the NIS. We used generalized estimating equations to measure associations over time between primary payer (Medicaid, private insurance, or self) and cesarean delivery, vaginal birth after cesarean (VBAC), labor induction, and episiotomy. RESULTS: Controlling for clinical, demographic, and hospital factors, births covered by Medicaid had lower odds of cesarean delivery (adjusted odds ratio [AOR], 0.91), labor induction (AOR, 0.73), and episiotomy (AOR, 0.62) and higher odds of VBAC (AOR, 1.20; P <.001 for all AORs) compared with privately insured births. Cesarean rates increased 6% annually among births paid by private insurance (AOR, 1.06; P <.001) and less rapidly (5% annually) among those covered by Medicaid. CONCLUSIONS: US hospital-based births covered by private insurance were associated with higher rates of obstetric intervention than births paid for by Medicaid. After controlling for clinical, demographic, and hospital factors, cesarean delivery rates increased more rapidly among births covered by private insurance, compared with Medicaid. Changes in insurance coverage associated with healthcare reform may impact costs and quality of care for women giving birth in US hospitals.

OBJECTIVES We examined differences in self-reported mental health (SRMH) between US-born and Somalia-born Black Americans compared with White Americans. We tested how SRMH was affected by stigma toward seeing a mental health provider, discrimination in the health care setting, or symptoms of depression. METHODS Data were from a 2008 survey of adults in Minnesota and were limited to US-born and Somalia-born Black and White Americans (n = 938). RESULTS Somalia-born adults were more likely to report better SRMH than either US-born Black or White Americans. They also reported lower levels of discrimination (18.6%) than US-born Black Americans (33.4%), higher levels of stigma (23.6% vs 4.7%), and lower levels of depressive symptoms (9.1% vs 31.6%). Controlling for stigma, discrimination, and symptomatology, Somalia-born Black Americans reported better SRMH than White and Black Americans (odds ratio = 4.76). CONCLUSIONS Mental health programming and health care providers who focus on Black Americans' mental health might be missing important sources of heterogeneity. It is essential to consider the role of race and ethnicity, but also of nativity, in mental health policy and programming.

The School Attendance Boundary Information System is a social science data infrastructure project that assembles, processes, and distributes spatial data delineating K through 12th grade school attendance boundaries for thousands of school districts in U.S. Although geography is a fundamental organizing feature of K to 12 education, until now school attendance boundary data have not been made readily available on a massive basis and in an easy-to-use format. The School Attendance Boundary Information System removes these barriers by linking spatial data delineating school attendance boundaries with tabular data describing the demographic characteristics of populations living within those boundaries. This paper explains why a comprehensive GIS database of K through 12 school attendance boundaries is valuable, how original spatial information delineating school attendance boundaries is collected from local agencies, and techniques for modeling and storing the data so they provide maximum flexibility to the user community. An important goal of this paper is to share the techniques used to assemble the SABINS database so that local and state agencies apply a standard set of procedures and models as they gather data for their regions.