Despite advancements in medical interventions, the disease burden caused by viral pathogens remains large and highly diverse. This burden includes the wide range of signs and symptoms associated with active viral replication as well as a variety of clinical sequelae of infection. Moreover, there is growing evidence supporting the existence of sex- and ethnicity-based health disparities linked to viral infections and their associated diseases. Despite several well-documented disparities in viral infection rates, our current understanding of virus-associated health disparities remains incomplete. This knowledge gap can be attributed, in part, to limitations of the most commonly used viral detection methodologies, which lack the breadth needed to characterize exposures across the entire virome. Additionally, virus-related health disparities are dynamic and often differ considerably through space and time. In this study, we utilize PepSeq, an approach for highly multiplexed serology, to broadly assess an individual\'s history of viral exposures, and we demonstrate the effectiveness of this approach for detecting infection disparities through a pilot study of 400 adults aged 30-60 in Phoenix, AZ. Using a human virome PepSeq library, we observed expected seroprevalence rates for several common viruses and detected both expected and previously undocumented differences in inferred rates of infection between our male/female and Hispanic/non-Hispanic White individuals.
OBJECTIVE: Our understanding of population-level virus infection rates and associated health disparities is incomplete. In part, this is because of the high diversity of human-infecting viruses and the limited breadth and sensitivity of traditional approaches for detecting infection events. Here, we demonstrate the potential for modern, highly multiplexed antibody detection methods to greatly increase our understanding of disparities in rates of infection across subpopulations (e.g., different sexes or ethnic groups). The use of antibodies as biomarkers allows us to detect evidence of past infections over an extended period, and our approach for highly multiplexed serology (PepSeq) allows us to measure antibody responses against hundreds of viruses in an efficient and cost-effective manner.

Since the 1998 Master Settlement Agreement in the U.S., many studies have examined the associations between tobacco control policies and smoking; however, there is a need to comprehensively examine the impact of these policies on sociodemographic disparities in cigarette smoking. This protocol outlines a systematic review that seeks to fill this gap. Quantitative observational, experimental, and quasi-experimental studies are eligible for inclusion. Policies include cigarette taxes, smoke-free air laws, anti-tobacco media campaigns, and Tobacco 21 laws implemented in the U.S. Outcomes include cigarette smoking initiation, prevalence, and cessation among youth and adults. Sources to be searched include Clarivate BIOSIS, EBSCO CINAHL Plus, Cochrane Library, Ovid MEDLINE, PsycINFO, Sociological Abstracts, Clarivate Web of Science Core Collection, and the National Bureau of Economic Research. Included studies must be written in English. Two independent reviewers will screen and analyze relevant articles and then extract data on participants, context, methods, and key findings. Studies will be assessed using the Joanna Briggs Institute critical appraisal checklists and presented in 2 reviews: 1 youth focused (aged <18 years) and 1 adult focused (aged ≥18 years). The findings are intended to inform the creation of new and potentially more targeted tobacco control policies to improve health equity.

The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient\'s demographics and social determinants of health. While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI.

BACKGROUND: The United States notoriously has one of the highest rates of incarceration in the world, yet scant attention to the health care needs of those incarcerated exists within laboratory medicine and pathology training and education. This article explores health disparities among incarcerated and released individuals regarding diagnostic laboratory testing and pathology services.
METHODS: A literature search was conducted for articles published between 2002 and 2023 using keywords including \"healthcare,\" \"incarcerated,\" \"laboratory services,\" \"pathology services,\" and \"health insurance for prisoners.\" Central themes were extracted and discussed to reveal the realities of health care during and after release from incarceration. Excluded from the analysis were articles about the immediate or extended family of incarcerated persons.
RESULTS: Incarcerated individuals have an increased risk for the development and exacerbation of communicable and noncommunicable diseases and mental health disorders, which results in exceedingly high morbidity and mortality rates.
CONCLUSIONS: Policy changes are needed to mitigate disparities and improve health outcomes for incarcerated and released persons. Central to these disparities is decreased access to laboratory and pathology services, impeded by inadequate health care funding for these carceral institutions. Providing additional funding to the carceral system\'s health care budget is necessary to improve access to pathology and laboratory services.

Most older adults with lesbian, gay, bisexual, queer, questioning, transgender, and related identities (LGBTQ+) are concerned about receiving lower-quality care and/or being mistreated in nursing homes. Older LGBTQ+ Veterans may have additional reservations about receiving care in Veterans Affairs (VA) nursing homes [Community Living Centers (CLCs)] because of experience with past discriminatory military policies (eg, bans on participating in military service, Don\'t Ask Don\'t Tell). The Human Rights Campaign developed the Long-Term Care Equality Index (LEI) as a facility benchmarking tool to support more inclusive environments for LGBTQ+ residents and employees. The LEI offers 4 evaluation criteria: (1) Non-Discrimination and Staff Training; (2) LGBTQ+ Resident Services and Support; (3) Employee Benefits and Policies; and (4) Resident and Community Engagement. Facilities receive ratings based on the number of requirements achieved in each criteria category. This article describes one of the first VA CLCs to participate in the LEI self-assessment and the formative evaluation process used to identify opportunities for growth. Older LGBTQ+ Veterans, current CLC residents, interdisciplinary CLC providers and leadership, and national Geriatrics and Extended Care program managers collaborated to pilot the LEI and develop tools and materials to support other VA facilities\' participation in the LEI. Results of qualitative interviews with Veterans and CLC residents supported inclusion of gender identity and sexual orientation in resident handbooks, discussions about person-centered care, and opportunities for additional staff training and community engagement (eg, observing Pride Month in June). Resources to support other VA long-term care facilities\' participation in the LEI were developed and are discussed. The LEI offers a structured approach to identifying areas for improvement in providing high-quality and equitable care in long-term care settings. We offer 6 practical suggestions for CLCs and other nursing home settings considering the LEI for the first time.

OBJECTIVE: The COVID-19 pandemic impacted testing and incidence of sexually transmitted infections (STIs), with some studies showing uneven effects across sociodemographic groups. We aim to determine whether rates of gonorrhea and chlamydia testing and infections were affected by the pandemic, overall and by subgroups, defined by sociodemographic factors and comorbidities.
METHODS: We conducted a retrospective cohort study from January 1, 2016, through December 31, 2022, among adolescents and young adults ages 15-29 years within Kaiser Permanente Northern California (KPNC). We determined the rate of testing for gonorrhea/chlamydia, and the incident rates of infections before and during the COVID-19 pandemic by sociodemographic factors. We compared incidence rates of gonorrhea/chlamydia testing and infection before and during the pandemic using Poisson regression.
RESULTS: Gonorrhea/chlamydia testing during the pandemic was 19% lower than prepandemic baseline. Testing among Black patients was 1.8-fold higher than White patients. Black patients had 5.5 and 3.6-fold higher rate of gonorrhea and chlamydia infections, respectively, compared with White patients. Patients living in more deprived neighborhoods also had higher rates of infection compared to those in the least deprived neighborhoods. In multivariable analyses stratified by the period before and during the COVID-19 pandemic, there were no significant differences in the incidence rate ratios of testing or infections for any specific sociodemographic factor.
CONCLUSIONS: STI testing in adolescents and young adults dropped dramatically after the start of the pandemic and has not recovered to its prior levels. Preexisting disparities in STI testing and infections were not exacerbated by the pandemic.

OBJECTIVE: To examine rural and urban disparities in cardiovascular disease (CVD) death rates by poverty level and region.
METHODS: Using 2021 county-level population and mortality data for CVD deaths listed as the underlying cause among adults aged 35-64 years, we calculated age-standardized CVD death rates and rate ratios (RR) for 4 categories of counties: high-poverty rural, high-poverty urban, low-poverty rural, and low-poverty urban (referent). Results are presented nationally and by US Census region.
RESULTS: Rural and urban disparities in CVD mortality varied markedly by poverty and region. Nationally, the CVD death rate was highest among high-poverty rural areas (191 deaths per 100,000, RR: 1.76, CI: 1.73-1.78). By region, Southern high-poverty rural areas had the highest CVD death rate (256 deaths per 100,000) and largest disparity relative to low-poverty urban areas (RR: 2.05; CI: 2.01-2.09). In the Midwest and West, CVD death rates among high-poverty areas were higher than low-poverty areas, regardless of rural or urban classification.
CONCLUSIONS: Results reinforce the importance of prioritizing high-poverty rural areas, especially in the South, in efforts to reduce CVD mortality. These efforts may need to consider socioeconomic conditions and region, in addition to rural and urban disparities.

Purpose: The present study investigated associations of sexual orientation and/or gender identity-based medical mistrust and racial/ethnic-based medical mistrust, respectively, with unmet medical care need among lesbian, gay, bisexual, transgender, queer, and/or sexually or gender diverse (LGBTQ+) people of color (POC) assigned female at birth (AFAB). We also tested the interaction of the two types of medical mistrust on unmet medical care need. Methods: Participants were 266 LGBTQ+ POC AFAB. Participants completed measures of medical mistrust based on race/ethnicity and LGBTQ+ identity. Unmet medical care need was assessed using the item: \"During the past 12 months, was there ever a time where you felt that you needed health care but you didn\'t receive it?\" Multivariate logistic regression models were run with either type of medical mistrust, as well as their interaction, as the predictor and unmet medical care need as the outcome variable. Results: There were no significant main effects of either type of medical mistrust on unmet medical care need. However, there was an interaction between the two types of medical mistrust, such that associations between each type of medical mistrust and unmet medical care needs were stronger at higher levels of the other type of medical mistrust. Racial/ethnic medical mistrust was associated with a greater likelihood of unmet medical needs at high, but not low, levels of LGBTQ+ medical mistrust. Conclusions: Racial/ethnic medical mistrust and LGBTQ+ medical mistrust exacerbate each other\'s influence on unmet medical care need. These results underscore the need for inclusive clinical practices for LGBTQ+ POC.

Research on dual combustible and electronic nicotine use among Latinx persons is needed to better understand patterns of use because this group is an established tobacco disparities population. Negative emotional symptoms and related processes (e.g., reactive transdiagnostic vulnerabilities) have been among the most prominent factors linked to the onset, maintenance, and relapse of smoking. As such, the current study sought to compare levels of mental health symptoms among combustible users compared to dual combustible and electronic users among Latinx persons who smoke. The current sample consisted of 297 adult Latinx daily cigarette smokers (Mage = 35.90 years; SD = 8.87; age range 18-61; 36.4% female), of which 92 reported current dual use of an e-cigarette (Mage = 33.34 years; SD = 7.75; age range 19-60; 28.3% female). Differences in anxiety, depression, anxiety sensitivity, emotion dysregulation, and distress tolerance were examined, and we hypothesized that dual users would showcase higher mental health problems. Results indicated that adult Latinx dual users evidenced greater levels of anxiety, depression, emotional dysregulation, anxiety sensitivity, and lower levels of distress tolerance compared to combustible users. The current study sheds light on the clinical importance of affective differences among dual versus combustible Latinx smokers.

BACKGROUND: People with diabetes, vascular disease, and asthma often struggle to maintain stability in their chronic health conditions, particularly those in rural areas, living in poverty, or racially or ethnically minoritized populations. These groups can experience inequities in healthcare, where one group of people has fewer or lower-quality resources than others. Integrating behavioral healthcare services into primary care holds promise in helping the primary care team better manage patients\' conditions, but it involves changing the way care is delivered in a clinic in multiple ways. Some clinics are more successful than others in fully integrating behavioral health models as shown by previous research conducted by our team identifying four patterns of implementation: Low, Structural, Partial, and Strong. Little is known about how this variation in integration may be related to chronic disease management and if IBH could be a strategy to reduce healthcare inequities. This study explores potential relationships between IBH implementation variation and chronic disease management in the context of healthcare inequities.
METHODS: Building on a previously published latent class analysis of 102 primary care clinics in Minnesota, we used multiple regression to establish relationships between IBH latent class and healthcare inequities in chronic disease management, and then structural equation modeling to examine how IBH latent class may moderate those healthcare inequities.
RESULTS: Contrary to our hypotheses, and demonstrating the complexity of the research question, clinics with better chronic disease management were more likely to be Low IBH rather than any other level of integration. Strong and Structural IBH clinics demonstrated better chronic disease management as race in the clinic\'s location became more White.
CONCLUSIONS: IBH may result in improved care, though it may not be sufficient to resolve healthcare inequities; it appears that IBH may be more effective when fewer social determinants of health are present. Clinics with Low IBH may not be motivated to engage in this practice change for chronic disease management and may need to be provided other reasons to do so. Larger systemic and policy changes are likely required that specifically target the mechanisms of healthcare inequities.