Health Insurance Coverage and Access to Care by Sexual Orientation During the COVID-19 Pandemic: United States, January 2021-February 2022.

Objectives. To compare health insurance coverage and access to care by sex and sexual minority status during the COVID-19 pandemic and assess whether lack of insurance hindered access to care by sexual minority status. Methods. Using Behavioral Risk Factor Surveillance System data (January 2021-February 2022), we examined differences by sex and sexual orientation among 158 722 adults aged 18 to 64 years living in 34 states. Outcomes were health insurance coverage type and 3 access to care measures. Results. Sexual minority women were significantly more likely to be uninsured than were heterosexual women, and lack of insurance widened the magnitude of disparity by sexual minority status in all measures of access. Compared with heterosexual men with health insurance, sexual minority men with health insurance were significantly more likely to report being unable to afford necessary care. Conclusions. During the pandemic, 1 in 8 sexual minority adults living in 34 study states were uninsured. Among sexual minority women, lack of insurance widened inequities in access to care. There were inequities among sexual minority men with health insurance. Public Health Implications. Sexual minority adults may be disproportionately affected by the unwinding of the COVID-19 public health emergency and may require tailored efforts to mitigate insurance coverage loss. (Am J Public Health. 2024;114(1):118-128. https://doi.org/10.2105/AJPH.2023.307446).

The Social Determinants of Health Among Lesbian, Gay, Bisexual, and Transgender (LGBT) Adults in Nashville, Tennessee.

Lesbian, gay, bisexual, and transgender (LGBT) populations experience widespread disparities in health outcomes, health behaviors, and access to care compared to their non-LGBT counterparts. Moreover, very few studies have either studied the social determinants of health (SDoH) of LGBT populations or LGBT health in large cities located in the US South. This study uses novel, community-informed, and representative data to study the SDoH of LGBT adults in Nashville and Davidson County, Tennessee. Compared to non-LGBT adults (n = 1583), LGBT adults (n = 128) in Nashville, Tennessee, were more likely to report being dissatisfied with life and feeling emotionally upset or physical symptoms as a result of how they were treated based on their race/ethnicity compared to non-LGBT adults. LGBT adults in Nashville were also less likely to keep a firearm in the home than their non-LGBT peers. This study documents new disparities in the SDoH for LGBT adults living in one of the largest and fastest growing cities in the southeastern US. More research on LGBT populations in urban centers located in the US South is critically needed. Meanwhile, locally based community organizations and public health leaders may consider developing and testing innovative solutions to enhance social networks and social supports among LGBT populations. Addressing the SDoH among LGBT adults in southern cities will be essential for achieving health equity for all LGBT populations in the USA.

LGBTQ College student health and wellbeing at the onset of the pandemic: additional evidence and lessons learned from COVID-19.

BACKGROUND: The coronavirus (COVID-19) pandemic has killed more than six million people and disrupted health care systems globally. In the United States alone, more than one million people have died from COVID-19 infections. At the start of the pandemic, nearly all aspects of our lives paused to prevent the spread of the novel coronavirus. Many institutions of higher education transitioned to remote learning and enacted social distancing measures. This study examined the health needs and vulnerabilities of lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ) college students at the start of the COVID-19 pandemic in the United States. METHODS: We fielded a rapid-response online survey between April and June of 2020. We recruited 578 LGBTQ-identifying college students aged 18 years and older by reaching out to LGBTQ-serving organizations on 254 college campuses and via targeted social media advertising. RESULTS: Approximately 40% of LGBTQ college students surveyed were dissatisfied with life at the start of the COVID-19 pandemic, and almost all (90%) were concerned that COVID-19 would threaten their mental health. Moreover, about 40% of LGBTQ college students reported unmet mental health needs, and 28% were worried about seeking care during the pandemic because of their LGBTQ identity. One out of four LGBTQ college students had to go back in the closet because of the pandemic, and approximately 40% were concerned about their finances or personal safety during the COVID-19 pandemic. Some of these adverse outcomes were prominent among younger students, Hispanic/Latinx students, and students with unsupportive families or colleges. CONCLUSIONS: Our study adds novel findings to the large body of research demonstrating that LGBTQ college students experienced distress and elevated mental health needs early in the pandemic. Future research should examine the long-term consequences of the pandemic among LGBTQ and other minoritized college students. Public health policymakers, health care providers, and college and university officials should provide LGBTQ students affirming emotional supports and services to ensure their success as the COVID-19 pandemic transitions to endemic.

LGBTQ+ Perspectives on Conducting Genomic Research on Sexual Orientation and Gender Identity.

We conducted in-depth, semi-structured interviews with LGBTQ+-identified individuals (n = 31) to explore the range of LGBTQ+ perspectives on genomic research using either sexual orientation or gender identity (SOGI) data. Most interviewees presumed that research would confirm genetic contributions to sexual orientation and gender identity. Primary hopes for such confirmation included validating LGBTQ+ identities, improved access to and quality of healthcare and other resources, and increased acceptance in familial, socio-cultural, and political environments. Areas of concern included threats of pathologizing and medicalizing LGBTQ+ identities and experiences, undermining reproductive rights, gatekeeping of health or social systems, and malicious testing or misuse of genetic results, particularly for LGBTQ+ youth. Overall, interviewees were divided on the acceptability of genomic research investigating genetic contributions to sexual orientation and gender identity. Participants emphasized researchers' ethical obligations to LGBTQ+ individuals and endorsed engagement with LGBTQ+ communities throughout all aspects of genomic research using SOGI data.

State Policies and Health Disparities between Transgender and Cisgender Adults: Considerations and Challenges Using Population-Based Survey Data.

CONTEXT: The authors examined the association between state-level policy protections and self-rated health disparities between transgender and cisgender adults. METHODS: They used data on transgender (n = 4,982) and cisgender (n = 1,168,859) adults from the 2014-2019 Behavioral Risk Factor Surveillance System. The authors estimated state-specific health disparities between transgender and cisgender adults, and they used multivariable logistic regression models to compare adjusted odds ratios between transgender and cisgender adults by state-level policy environments. FINDINGS: Transgender adults were significantly more likely to report poor/fair health, frequent mental distress, and frequent poor physical health days compared to cisgender adults. Disparities between transgender and cisgender adults were found in states with strengthened protections and in states with limited protections. Compared to transgender adults in states with limited protections, transgender adults in states with strengthened protections were marginally less likely to report frequent mental distress. CONCLUSIONS: Transgender adults in most states reported worse self-rated health than their cisgender peers. Much more research and robust data collection on gender identity are needed to study the associations between state policies and transgender health and to identify best practices for achieving health equity for transgender Americans.

Effects of the Affordable Care Act Dependent Coverage Mandate on Health Insurance Coverage for Individuals in Same-Sex Couples.

A large body of research documents that the 2010 dependent coverage mandate of the U.S. Affordable Care Act was responsible for significantly increasing health insurance coverage among young adults. No prior research has examined whether sexual minority young adults also benefitted from the dependent coverage mandate despite previous studies showing lower health insurance coverage among sexual minorities. Our estimates from the American Community Survey, using difference-in-differences and event study models, show that men in same-sex couples aged 21-25 experienced a significantly greater increase in the likelihood of having any health insurance after 2010 than older, 27- to 31-year-old men in same-sex couples. This increase is concentrated among employer-sponsored insurance, and it is robust to permutations of periods and age groups. Effects for women in same-sex couples and men in different-sex couples are smaller than the associated effects for men in same-sex couples. These findings confirm the broad effects of expanded dependent coverage and suggest that eliminating the federal dependent mandate could reduce health insurance coverage among young adult sexual minorities in same-sex couples.

Health Disparities among Lesbian, Gay, Bisexual, and Transgender (LGBT) Adults in Nashville, Tennessee.

OBJECTIVES: Health disparities for lesbian, gay, bisexual, and transgender (LGBT) adults are well documented, but LGBT health data at the municipal and county levels are lacking, especially in the southern United States. The objective of this study was to compare access to care, health outcomes, and behavioral risk factors between LGBT and non-LGBT adults in Nashville and Davidson County, Tennessee. METHODS: Data for this study came from a randomly selected, population-based sample of LGBT (n = 128) and non-LGBT (n = 1583) adults in Nashville. Multivariable logistic regression models were used to compare health outcomes between LGBT and non-LGBT Nashvillians while adjusting for demographic characteristics and socioeconomic status. RESULTS: LGBT Nashvillians were more likely to be uninsured (odds ratio [OR] 3.96, 95% confidence interval [CI] 1.72-9.10), report unmet medical care needs because of cost (OR 2.20, 95% CI 1.14-4.25), exhibit worse mental health outcomes (eg, frequent mental distress; OR 4.53, 95% CI 2.33-8.80), and report high-risk behaviors for human immunodeficiency virus (OR 9.47, 95% CI 3.96-22.62) compared with non-LGBT Nashvillians. CONCLUSIONS: To achieve health equity for LGBT individuals at the municipal level, Nashville and Tennessee should consider multifaceted approaches to expanding health insurance coverage and nondiscrimination protections and address mental health and human immunodeficiency virus risks among vulnerable populations.

Differences in US antibiotic prescription use by facility and patient characteristics: evidence from the National Ambulatory Medical Care Survey.

BACKGROUND: Antibiotic resistance is increasing, largely due to the overuse of antibiotics. Patient demographic characteristics can influence rates of antibiotic prescription, but less research has assessed the role of facility-level characteristics. OBJECTIVE: The objective of this study was to examine the prevalence of antibiotic prescriptions for viral-like illness, as well as patient and provider factors that influence antibiotic prescription practices. METHODS: We conducted an observational cohort study using data from the 2012 National Ambulatory Medical Care Survey. We compared the prevalence of antibiotic prescription for all aetiologies and for viral-like illnesses between community health centres, non-community health centre clinics and emergency departments. Then, we used logistic regression models to compare the odds of antibiotic prescription use by facility and patient characteristics. RESULTS: Data came from 630 community health centre visits, 857 non-community health centre outpatient clinic visits and 627 emergency department visits. Compared to patients visiting non-community health centre clinics, patients visiting community health centres and emergency departments for any aetiology were more likely to receive antibiotic prescriptions. Patients with viral-like illnesses were less likely to receive antibiotics at community health centres and exhibited similar odds of receiving antibiotics at emergency departments. Certain patient demographics (age, race/ethnicity and payment source) were associated with variation in overall antibiotic prescription, but these factors were mostly unassociated with antibiotic prescription for viral-like illnesses. CONCLUSIONS: The care setting that patients visit may influence their odds of receiving antibiotics. Initiatives addressing overuse of antibiotics should be mindful of facility- and patient-based characteristics when designing interventions.

Disparities in Health Insurance Coverage and Access to Care for Children By Mother's Sexual Orientation.

OBJECTIVE: Few population-based studies have examined the health care experiences of children with sexual minority parents. The purpose of this study was to compare health insurance status, access to care, and health services utilization for children by mother's sexual orientation. METHODS: We used data on children with lesbian mothers (n = 195), bisexual mothers (n = 299), and heterosexual mothers (n = 23,772) in the 2013-2017 National Health Interview Survey. Logistic regression models were used to compare health insurance status, access to care, and health services utilization while adjusting for demographic and socioeconomic characteristics of the child, mother, and household. RESULTS: After controlling for sociodemographic factors, there were no statistically significant differences in health insurance coverage, access to care, or health services utilization between children of lesbian mothers and children of heterosexual mothers. Compared to children with heterosexual mothers, children with bisexual mothers were more likely to have public health insurance (OR 2.33; 95% CI 1.07-7.68), delayed medical care due to cost (OR 2.33; 95% CI 1.12-4.86), unmet medical care due to cost (OR 2.86; 95% CI 1.07-7.68), and a visit to the emergency room (OR 1.74; 95% CI 1.27-2.39) in the prior year after controlling for child-level characteristics. Some of these differences were attenuated after controlling for maternal demographics and household characteristics. CONCLUSIONS FOR PRACTICE: Children with bisexual mothers experience barriers to routine medical care. Addressing socioeconomic dimensions of health care access and targeted outreach to bisexual parents will help promote health equity for children growing up in sexual minority households.

Disparities in Access to Health Care Among US-Born and Foreign-Born US Adults by Mental Health Status, 2013-2016.

Objectives. To compare access to care between US-born and foreign-born US adults by mental health status. Methods. We analyzed data on nonelderly adults (n = 100 428) from the 2013-2016 National Health Interview Survey. We used prevalence estimates and multivariable logistic regression models to compare issues of affordability and accessibility between US-born and foreign-born individuals. Results. Approximately 22.2% of US-born adults and 18.1% of foreign-born adults had symptoms of moderate to severe psychological distress. Compared with US-born adults with no psychological distress, and after adjustment for sociodemographic characteristics, US-born and foreign-born adults with psychological distress were much more likely to report multiple emergency room visits and unmet medical care, mental health care, and prescription medications because of cost. Conclusions. Our study found that adults with moderate to severe psychological distress, regardless of their immigration status, were at greater risk for reporting issues of affordability when accessing health care compared with US-born adults with no psychological distress. Public Health Implications. Health care and mental health reforms should focus on reducing health care costs and establishing innovative efforts to broaden access to care to diverse populations.

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey.

Research linking economic conditions and health often does not consider children's mental health problems, which are the most common and consequential health issues for children and adolescents. We examine the effects of unemployment rates and housing prices on well-validated child and adolescent mental health outcomes and use of special education services for emotional problems in the 2001-2013 National Health Interview Survey. We find that the effects of economic conditions on children's mental health are clinically and economically meaningful; children's mental health outcomes worsen as the economy weakens. The effects of economic conditions on child and adolescent mental health are pervasive, found in almost every subgroup that we examine. The use of special education services for emotional problems also rises when economic conditions worsen. Our analyses of possible mechanisms that link economic conditions to child mental health suggest that parental unemployment cannot fully explain the relationship between economic conditions and child mental health.

Cancer diagnoses among lesbian, gay, and bisexual adults: results from the 2013-2016 National Health Interview Survey.

PURPOSE: The objective of this study was to compare cancer diagnoses by age, gender, and sexual orientation. METHODS: This study used data on 129,431 heterosexual adults and 3,357 lesbian, gay, and bisexual (LGB) adults in the 2013-2016 National Health Interview Survey. Logistic regression models compared the prevalence of cancer diagnoses by sexual orientation while controlling for demographics, socioeconomic status, and health profiles. Then, using coefficients from fully adjusted models, we estimated average marginal effects to compare the probability of a cancer diagnosis by sexual orientation across five age categories. RESULTS: After controlling for demographic and socioeconomic characteristics, gay men (odds ratio [OR] 1.54; 95% confidence interval [CI] 1.10-2.18) were more likely to have been diagnosed with cancer compared to heterosexual men, and bisexual women (OR 1.70; 95% CI 1.16-2.48) were more likely to have been diagnosed with cancer compared to heterosexual women. Gay men aged 65 years and older were 6.0% points (p < 0.05) more likely to be diagnosed with cancer compared to heterosexual men of the same age. Bisexual women aged 65 years and older were 7.6% points (p < 0.05) more likely to be diagnosed with cancer compared to women of the same age. CONCLUSIONS: Some sexual minorities may be at greater risk for cancer (or having a personal history of cancer) compared to heterosexuals. More research on cancer detection, treatment, and survivorship in sexual minorities is critically needed. Health care providers and public health practitioners should be aware of the unique health care needs in LGB adults, including their elevated cancer risks.

Differences by Sexual Orientation in Perceptions of Neighborhood Cohesion: Implications for Health.

A large body of research documents the relationship between health and place, including the positive association between neighborhood cohesion and health. However, very little research has examined neighborhood cohesion by sexual orientation. This paper addresses that gap by examining differences in perceived neighborhood cohesion by sexual orientation. We use data from the 2016 National Health Interview Survey (n = 28,164 respondents aged 18 years and older) to examine bivariate differences by sexual orientation in four measures of neighborhood cohesion. We then use ordered logistic regression models to assess the relationship between sexual orientation and a scaled measure of neighborhood cohesion, adjusting for socio-demographic characteristics, living arrangements, health status, region, and neighborhood tenure. We find that lesbian, gay, and bisexual (LGB) adults are less likely to say that they live in a close-knit neighborhood (54.6 vs. 65.6%, p < 0.001), they can count on their neighbors (74.7 vs. 83.1%, p < 0.001), they trust their neighbors (75.5 vs. 83.7%, p < 0.001), or people in their neighborhood help each other out (72.9 vs. 83.1%, p < 0.001), compared to heterosexual adults. Even after controlling for socio-demographic factors, neighborhood cohesion scores are lower for LGB adults compared to heterosexual adults (odds ratio of better perceived neighborhood cohesion for sexual minorities: 0.70, p < 0.001). Overall, LGB adults report worse neighborhood cohesion across multiple measures, even after adjusting for individual characteristics and neighborhood tenure. Because living in a cohesive neighborhood is associated with better health outcomes, future research, community-level initiatives, and public policy efforts should focus on creating welcoming neighborhood environments for sexual minorities.

Barriers to Care Among Transgender and Gender Nonconforming Adults.

Policy Points: Transgender and gender nonconforming (GNC) adults may experience barriers to care for a variety of reasons, including discrimination and lack of awareness by providers in health care settings. In our analysis of a large, population-based sample, we found transgender and GNC adults were more likely to be uninsured and have unmet health care needs, and were less likely to have routine care, compared to cisgender (nontransgender) women. Our findings varied by gender identity. More research is needed on transgender and GNC populations, including on how public policy and provider awareness affects health care access and health outcomes differentially by gender identity. CONTEXT: Very little population-based research has examined health and access to care among transgender populations. This study compared barriers to care between cisgender, transgender, and gender nonconforming (GNC) adults using data from a large, multistate sample. METHODS: We used data from the 2014-2015 Behavioral Risk Factor Surveillance System to estimate the prevalence of having no health insurance, unmet medical care needs due to cost, no routine checkup, and no usual source of care for cisgender women (n = 183,370), cisgender men (n = 131,080), transgender women (n = 724), transgender men (n = 449), and GNC adults (n = 270). Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) for each barrier to care while adjusting for sociodemographic characteristics. FINDINGS: Transgender and GNC adults were more likely to be nonwhite, sexual minority, and socioeconomically disadvantaged compared to cisgender adults. After controlling for sociodemographic characteristics, transgender women were more likely to have no health insurance (OR = 1.60; 95% CI = 1.07-2.40) compared to cisgender women; transgender men were more likely to have no health insurance (OR = 2.02; 95% CI = 1.25-3.25) and no usual source of care (OR = 1.84; 95% CI = 1.18-2.88); and GNC adults were more likely to have unmet medical care needs due to cost (OR = 1.93; 95% CI = 1.02-3.67) and no routine checkup in the prior year (OR = 2.41; 95% CI = 1.41-4.12). CONCLUSIONS: Transgender and GNC adults face barriers to health care that may be due to a variety of reasons, including discrimination in health care, health insurance policies, employment, and public policy or lack of awareness among health care providers on transgender-related health issues.

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.

Health insurance disparities among racial/ethnic minorities in same-sex relationships: an intersectional approach.

OBJECTIVES: We examined disparities in health insurance coverage for racial/ethnic minorities in same-sex relationships. METHODS: We used data from the 2009 to 2011 American Community Survey on nonelderly adults (aged 25-64 years) in same-sex (n = 32 744), married opposite-sex (n = 2 866 636), and unmarried opposite-sex (n = 268 298) relationships. We used multinomial logistic regression models to compare differences in the primary source of health insurance while controlling for key demographic and socioeconomic factors. RESULTS: Adults of all races/ethnicities in same-sex relationships were less likely than were White adults in married opposite-sex relationships to report having employer-sponsored health insurance. Hispanic men, Black women, and American Indian/Alaska Native women in same-sex relationships were much less likely to have employer-sponsored health insurance than were their White counterparts in married opposite-sex relationships and their White counterparts in same-sex relationships. CONCLUSIONS: Differences in coverage by relationship type and race/ethnicity may worsen over time as states follow different paths to implementing health care reform and same-sex marriage.