Carrie Henning-Smith

Comparison of Health and Health Risk Factors Between Lesbian, Gay, and Bisexual Adults and Heterosexual Adults in the United States: Results From the National Health Interview Survey

IMPORTANCE Previous studies identified disparities in health and health risk factors among lesbian, gay, and bisexual (LGB) adults, but prior investigations have been confined to samples not representative of the US adult population or have been limited in size or geographic scope. For the first time in its long history, the 2013 and 2014 National Health Interview Survey included a question on sexual orientation, providing health information on sexual minorities from one of the nations leading health surveys. OBJECTIVE To compare health and health risk factors between LGB adults and heterosexual adults in the United States. DESIGN, SETTING, AND PARTICIPANTS Data from the nationally representative 2013 and 2014 National Health Interview Survey were used to compare health outcomes among lesbian (n = 525), gay (n = 624), and bisexual (n = 515) adults who were 18 years or older and their heterosexual peers (n = 67 150) using logistic regression. MAIN OUTCOMES AND MEASURES Self-rated health, functional status, chronic conditions, psychological distress, alcohol consumption, and cigarette use. RESULTS The study cohort comprised 68 814 participants. Their mean (SD) age was 46.8 (11.8) years, and 51.8% (38 063 of 68 814) were female. After controlling for sociodemographic characteristics, gay men were more likely to report severe psychological distress (odds ratio [OR], 2.82; 95% CI, 1.55-5.14), heavy drinking (OR, 1.97; 95% CI, 1.08-3.58), and moderate smoking (OR, 1.98; 95% CI, 1.39-2.81) than heterosexual men; bisexual men were more likely to report severe psychological distress (OR, 4.70; 95% CI, 1.77-12.52), heavy drinking (OR, 3.15; 95% CI, 1.22-8.16), and heavy smoking (OR, 2.10; 95% CI, 1.08-4.10) than heterosexual men; lesbian women were more likely to report moderate psychological distress (OR, 1.34; 95% CI, 1.02-1.76), poor or fair health (OR, 1.91; 95% CI, 1.24-2.95), multiple chronic conditions (OR, 1.58; 95% CI, 1.12-2.22), heavy drinking (OR, 2.63; 95% CI, 1.54-4.50), and heavy smoking (OR, 2.29; 95% CI, 1.36-3.88) than heterosexual women; and bisexual women were more likely to report multiple chronic conditions (OR, 2.07; 95% CI, 1.34-3.20), severe psychological distress (OR, 3.69; 95% CI, 2.19-6.22), heavy drinking (OR, 2.07; 95% CI, 1.20-3.59), and moderate smoking (OR, 1.60; 95% CI, 1.05-2.44) than heterosexual women. CONCLUSIONS AND RELEVANCE This study supports prior research finding substantial health disparities for LGB adults in the United States, potentially due to the stressors that LGB people experience as a result of interpersonal and structural discrimination. In screening for health issues, clinicians should be sensitive to the needs of sexual minority patients.

Resident- and Facility-Level Predictors of Quality of Life in Long-Term Care

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.

Quality of Life and Psychological Distress Among Older Adults The Role of Living Arrangements

This study asks (a) What are the relationships between types of living arrangements and psychological well-being for older adults? and (b) How do these relationships differ by gender? Data come from the 2010 wave of the National Health Interview Survey and include non-institutionalized adults aged 65 and older (N = 4,862). Dependent variables include self-rated quality of life and psychological distress. The study finds that older adults living alone or with others fare worse than those living with a spouse only. Yet, the outcomes of different types of living arrangements for older adults vary by gender. Women living with others are at greater risk of worse quality of life and serious psychological distress than men. Programs and policies must be responsive to the diverse needs of this population, rather than attempting a “one-size-fits-all” approach to housing and community-based services designed to promote older adults’ psychological well-being and independence.

Disparities in Health and Disability Among Older Adults in Same-Sex Cohabiting Relationships

Objective: The present study compared indicators of impaired health and disability between older adults in same-sex cohabiting relationships and their peers in opposite-sex cohabiting relationships. Method: Data were obtained on men (n = 698) and women (n = 630) aged 50 years and older and in self-reported same-sex relationships from the National Health Interview Survey. Multiple regression analyses were conducted to estimate differences in physical health, mental health, and disability status. Results: Compared with their peers in married opposite-sex relationships, older men in same-sex relationships exhibited greater odds of psychological distress, and older women in same-sex relationships experienced elevated odds of poor/fair health, needing help with activities of daily living and instrumental activities of daily living, functional limitations, and psychological distress. Discussion: This study adds to the limited information on health and disability among older lesbian, gay, and bisexual adults. As this population grows, gerontologists must develop a better understanding of the unique issues and challenges facing them and their families.

Delayed and unmet need for medical care among publicly insured adults with disabilities

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.

Health Disparities by Sexual Orientation: Results and Implications from the Behavioral Risk Factor Surveillance System

Until recently, population-based data for monitoring sexual minority health have been limited, making it difficult to document and address disparities by sexual orientation. The primary objective of this study was to examine differences by sexual orientation in an array of health outcomes and health risk factors using one of the nation’s largest health surveys. Data for this study came from 8290 adults who identified as lesbian, gay, or bisexual (LGB) and 300,256 adults who identified as heterosexual in the 2014–2015 Behavioral Risk Factor Surveillance System (BRFSS). Logistic regression models were used to compare physical and mental health outcomes, health condition diagnoses, and health risk factors by sexual orientation, controlling for demographic and socioeconomic status. Controlling for sociodemographic characteristics, gay and bisexual men reported higher odds of frequent mental distress [odds ratio (OR) 1.71, P = 0.001; OR 2.33, P < 0.001] and depression (OR 2.91, P < 0.001; OR 2.41, P < 0.001), compared with heterosexual men. Lesbian and bisexual women had higher odds of frequent mental distress (OR 1.53, P < 0.001; OR 2.08, P < 0.001) and depression (OR 1.93, P < 0.01; OR 3.15, P < 0.001), compared to heterosexual women. Sexual minorities also faced higher odds of poor physical health, activity limitations, chronic conditions, obesity, smoking, and binge drinking, although these risks differed by sexual orientation and gender. This study adds to the mounting evidence of health disparities by sexual orientation. Community health practitioners and policymakers should continue to collect data on sexual orientation in order to identify and address root causes of sexual orientation-based disparities, particularly at the community-level.

Longitudinal Changes in Nursing Home Resident-Reported Quality of Life: The Role of Facility Characteristics.

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.

Differences by Sexual Orientation in Expectations About Future Long-Term Care Needs Among Adults 40 to 65 Years Old.

OBJECTIVES 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. METHODS 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 = 13 120) 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. RESULTS 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. CONCLUSIONS 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.

Family Satisfaction With Nursing Home Care: The Role of Facility Characteristics and Resident Quality-of-Life Scores

This article explores the factor structure of a new family satisfaction with nursing home care instrument and determines the relationship of resident quality of life (QOL) and facility characteristics with family satisfaction. Data sources include (1) family satisfaction interviews (n = 16,790 family members), (2) multidimensional survey of resident QOL (n = 13,433 residents), and (3) facility characteristics (n = 376 facilities). We used factor analysis to identify domains of family satisfaction and multivariate analyses to identify the role of facility-level characteristics and resident QOL on facility-mean values of family satisfaction. Four distinct domains were identified for family satisfaction: “care,” “staff,” “environment,” and “food.” Chain affiliation, higher resident acuity, more deficiencies, and large size were all associated with less family satisfaction, and resident QOL was a significant (albeit weak) predictor of family satisfaction. Results suggest that family member satisfaction is distinct from resident QOL but is associated with resident QOL and facility characteristics.

The Practice of Midwifery in Rural US Hospitals.

INTRODUCTION Workforce shortages limit access to care for pregnant women in rural and remote areas. The goal of this analysis was to describe the role of certified nurse-midwives (CNMs) in providing maternity care in rural US hospitals and to examine state-level variation in rural CNM practice. METHODS We identified 306 rural hospitals with at least 10 births in 2010 using discharge data from the Statewide Inpatient Databases for 9 US states. We conducted a telephone survey of hospital maternity unit managers (N = 244) from November 2013 to March 2014 to understand their maternity care workforce and practice models. We describe the presence of CNMs attending births by hospital and state characteristics. Using logistic multivariate regression, we examined whether CNMs attend births, adjusting for hospital characteristics, practice regulations, and state. We also analyzed the content of open-ended responses about staffing plans, challenges, and opportunities that unit managers identified, with a focus on midwifery practice. RESULTS CNMs attend births at one-third of rural maternity hospitals in 9 US states. Significant variability across states appears to be partially related to autonomous practice regulations: states allowing autonomous midwifery practice have a greater proportion of rural hospitals with midwives attending births (34% vs 28% without autonomous midwifery practice). In rural maternity hospitals, CNMs practice alongside obstetricians in 86%, and with family physicians in 44%, of hospitals. Fourteen percent of all respondents planned recruitment to increase the number of midwives at their hospital, although many, especially in smaller hospitals, noted challenges in doing so. DISCUSSION CNMs play a crucial role in the maternity care workforce in rural US hospitals. The participation of CNMs in birth attendance varies by hospital birth volume and across state settings. Interprofessional practice is common for CNMs attending births in rural hospitals, and administrators hope to increase the number of midwives in rural maternity practice.