Family satisfaction, while recognized as important, is frequently missing from validated measures of long-term care quality. This is the first study to compare family satisfaction across two states using validated measures and to compare the organizational and structural factors associated with higher family satisfaction with nursing home care. Data sources are family satisfaction surveys from Minnesota (MN) and Ohio (OH), linked to facility characteristics from Certification and Survey Provider Enhanced Reports (CASPER) for both states (N = 378 facilities for MN; N = 926 facilities for OH). Activities and food were among lowest rated items in both states. Relationships with staff were the highest rated domain. Higher occupancy rates, smaller facility size, and non-profit ownership consistently predicted better satisfaction in both states. Our findings show consistent organizational factors associated with family satisfaction and provide further evidence to the validity of family satisfaction as a person-...

The past several decades have seen significant policy efforts to improve the quality of care in nursing homes, but the patient safety movement has largely ignored this setting. In this study we compared nursing homes’ performance on several composite quality measures from Nursing Home Compare, the most prominent recent example of a national policy aimed at improving the quality of nursing home care, to their performance on measures of patient safety in nursing homes such as pressure sores, infections, falls, and medication errors. Although Nursing Home Compare captures some aspects of patient safety, we found the relationship to be weak and somewhat inconsistent, leaving consumers who care about patient safety with little guidance. We recommend that Nursing Home Compare be refined to provide a clearer picture of patient safety and quality of life, allowing consumers to weight these domains according to their preferences and priorities.

OBJECTIVES The aim of this study is to investigate racial differences in nursing home (NH) residents' quality of life (QOL) at the resident and facility levels. METHOD We used hierarchical linear modeling to identify significant resident- and facility-level predictors for racial differences in six resident-reported QOL domains. Data came from the following: (a) resident-reported QOL (n = 10,929), (b) the Minimum Data Set, and (c) facility-level characteristics from the Minnesota Department of Human Services (n = 376). RESULTS White residents reported higher QOL in five of six domains, but in full models, individual-level racial differences remained only for food enjoyment. On the facility level, higher percentage of White residents was associated with better scores in three domains, even after adjusting for all characteristics. DISCUSSION Racial differences in QOL exist on individual and aggregate levels. Individual differences are mainly explained by health status. The finding that facility racial composition predicts QOL more than individual race underscores the importance of examining NH structural characteristics and practices.

PURPOSE OF THE STUDY: Although there is substantial research on quality of care in nursing homes (NH), less is known about what contributes to quality of life (QOL) for NH residents. This study assesses multiple domains of QOL and examines facility- and resident-level correlates for different domains. DESIGN AND METHODS: Data come from (a) self-reported resident interviews using a multidimensional measure of QOL; (b) resident clinical data from the Minimum Data Set; and (c) facility-level characteristics from Minnesota Department of Human Services. We used factor analysis to confirm domains of QOL, and then employed cross-sectional hierarchical linear modeling to identify significant resident- and facility-level predictors of each domain. RESULTS: We examined six unique domains of QOL: environment, personal attention, food, engagement, negative mood, and positive mood. In multilevel models, resident-level characteristics were more reliable correlates of QOL than facility characteristics. Among resident characteristics, gender, age, marital status, activities of daily living, mood disorders, cognitive limitations, and length of stay consistently predicted QOL domains. Among facility characteristics, size, staff hours, quality of care, and percent of residents on Medicaid predicted multiple QOL domains. IMPLICATIONS: Examining separate domains rather than a single summary score makes associations with predictors more accurate. Resident characteristics account for the majority of variability in resident QOL. Helping residents maintain functional abilities, and providing an engaging social environment may be particularly important in improving QOL.

Improving quality of nursing homes (NHs) is a major social priority, yet few studies examine the role of facility characteristics for residents' quality of life (QOL). This study goes beyond cross-sectional analyses by examining the predictors of NH residents' QOL on the facility level over time. We used three data sources, namely resident interviews using a multidimensional measure of QOL collected in all Medicaid-certified NHs in Minnesota (N = 369), resident clinical data from the minimum data set, and facility-level characteristics. We examined change in six QOL domains from 2007 to 2010, using random coefficient models. Eighty-one facilities improved across most domains and 85 facilities declined. Size, staffing levels (especially activities staff), and resident case mix are some of the most salient predictors of QOL over time, but predictors differ by facility performance status. Understanding the predictors of facility QOL over time can help identify facility characteristics most appropriate for targeting with policy and programmatic interventions.

We examined whether and how lesbian, gay, and bisexual (LGB) adults between 40 and 65 years of age differ from heterosexual adults in long-term care (LTC) expectations. Our data were derived from the 2013 National Health Interview Survey. We used ordered logistic regression to compare the odds of expected future use of LTC among LGB (n=297) and heterosexual (n=13120) adults. We also used logistic regression models to assess the odds of expecting to use specific sources of care. All models controlled for key socioeconomic characteristics. Although LGB adults had greater expectations of needing LTC in the future than their heterosexual counterparts, that association was largely explained by sociodemographic and health differences. After control for these differentials, LGB adults were less likely to expect care from family and more likely to expect to use institutional care in old age. LGB adults may rely more heavily than heterosexual adults on formal systems of care. As the older population continues to diversify, nursing homes and assisted living facilities should work to ensure safety and culturally sensitive best practices for older LGB groups.

Most Americans know little about options for long-term services and supports and underestimate their likely future needs for such assistance. Using data from the 2012 National Health Interview Survey, we examined expectations about future use of long-term services and supports among adults ages 4065 and how these expectations varied by current living arrangement. We found differences by living arrangement in expectations about both future need for long-term services and supports and who would provide such care if needed. Respondents living with minor children were the least likely to expect to need long-term services and supports and to require paid care if the need arose. In contrast, respondents living alone were the most likely to expect that it was very likely that they would need long-term services and supports and to rely on paid care. Overall, we found a disconnect between expectations of use and likely future reality: 60 percent of respondents believed that they were unlikely to need long-term services and supports in the future, whereas the evidence suggests that nearly 70 percent of older adults will need them at some point. These findings both underscore the need for programs that encourage people to plan for long-term services and supports and indicate that information about living arrangements can be useful in developing and targeting such programs.

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.

Research Objective: To investigate: (1.) How the risk of delayed medical care varies by household composition and (2.) Whether the relationship between household composition and delayed care differs by disability status. Study Design: Data are from the Integrated Health Interview Series (IHIS). Disability was defined by the presence of an activity limitation. Household composition is was constructed as living: with a spouse, alone, or with others. Respondents were asked whether they delayed care in the past year for several reasons, including: cost, difficulty making a timely appointment, limited office hours, difficulty getting through by phone, lack of transportation, or too long of a wait in the office. We used logistic regression to assess the odds of each type of delayed care, with sub-group analyses by disability status, controlling for demographic characteristics. Population Studied: Non-institutionalized adults aged 65 and older who answered questions on reasons for delayed medical care (n=17,663). Principal Findings: Fifteen percent of those living alone and with others delayed care for any reason vs. 10% of those living with a spouse. Older adults with disabilities had higher rates of delayed care than those without disabilities (18% vs. 10%). In multivariate models, having a disability was associated with higher odds of each type of delayed care. In sub-group analyses, living alone and living with others were associated with higher odds of delayed care due to cost or lack of transportation, compared with older adults living with a spouse, regardless of disability status. However, older adults without disabilities living alone had lower odds of delayed care due to difficulty getting a timely appointment, limited office hours, or long waits in the doctor's office if they lived alone, compared with those living with a spouse. Conclusions: Risk of delayed care is associated with both household composition and disability status. In particular, the risk of delayed care due to cost or lack of transportation is higher for older adults living alone or with others, compared with those living with a spouse. These relationships differ by disability status, however, and older adults living alone without a disability actually face lower odds of several types of delayed care compared with their counterparts living with a spouse. Implications for Policy, Delivery or Practice: Patterns of living arrangements for older adults have changed in recent decades, with a decline in institutionalization and an increase in multigenerational households. Such arrangements are impacted by disability, with older adults acting as caregivers (e.g., for spouses or grandchildren) and receiving care themselves (e.g., from spouses and adult children). Despite evidence of these changing patterns and complex roles, there is limited research on how household composition affects health services use. Delayed medical care can lead to poor health outcomes and increased risk of hospitalization or nursing home use, especially for older adults with complex medical conditions. Identifying who is at greatest risk of delayed care by household composition and disability status can help to target interventions, including home and community-based care and medical transportation.

Close to two-thirds of all US nursing home residents have some type of cognitive impairment such as Alzheimer's disease, and the quality of care and quality of life of these people has long been called into question. In this overview we first clarify the ongoing importance of nursing home care for people with Alzheimer's, even as policy makers "rebalance" long-term supports and services with home and community-based programs. We next identify the components of optimal care for people with Alzheimer's in nursing homes, and we highlight care innovations already in use. Finally, we summarize policy-relevant challenges to implementing best practices and innovations and explore potential policy solutions. Federal and state policy makers have a critical role to play in ensuring that nursing home residents with Alzheimer's disease have access to the appropriate, high-quality care that they and their families expect.

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.