Trends in diabetic ketoacidosis- and hyperosmolar hyperglycemic state-related mortality during the COVID-19 pandemic in the United States: A population-based study.

BACKGROUND: During the pandemic, a notable increase in diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS), conditions that warrant emergent management, was reported. We aimed to investigate the trend of DKA- and HHS-related mortality and excess deaths during the pandemic. METHODS: Annual age-standardized mortality rates related to DKA and HHS between 2006 and 2021 were estimated using a nationwide database. Forecast analyses based on prepandemic data were conducted to predict the mortality rates during the pandemic. Excess mortality rates were calculated by comparing the observed versus predicted mortality rates. Subgroup analyses of demographic factors were performed. RESULTS: There were 71 575 DKA-related deaths and 8618 HHS-related deaths documented during 2006-2021. DKA, which showed a steady increase before the pandemic, demonstrated a pronounced excess mortality during the pandemic (36.91% in 2020 and 46.58% in 2021) with an annual percentage change (APC) of 29.4% (95% CI: 16.0%-44.0%). Although HHS incurred a downward trend during 2006-2019, the excess deaths in 2020 (40.60%) and 2021 (56.64%) were profound. Pediatric decedents exhibited the highest excess mortality. More than half of the excess deaths due to DKA were coronavirus disease 2019 (COVID-19) related (51.3% in 2020 and 63.4% in 2021), whereas only less than a quarter of excess deaths due to HHS were COVID-19 related. A widened racial/ethnic disparity was observed, and females exhibited higher excess mortality than males. CONCLUSIONS: The DKA- and HHS-related excess mortality during the pandemic and relevant disparities emphasize the urgent need for targeted strategies to mitigate the escalated risk in these populations during public health crises.

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data.

BACKGROUND: Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic. OBJECTIVE: This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points. METHODS: Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age. RESULTS: For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking. CONCLUSIONS: Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

Prevalence of Obstructive Sleep Apnea Among Veterans and Nonveterans.

PURPOSE: Understanding disease prevalence can inform treatment and resource needs across populations. This study aimed to identify the prevalence of sleep apnea (OSA) among veterans and nonveterans. DESIGN: The national Comparative Health Assessment Interview Study, cross-sectional survey using probability-based sampling frames. SETTING: Surveys completed by Internet or phone. SUBJECTS: 15,166 veterans (40% response rate) and 4,654 nonveterans (57% response rate). MEASURES: Self-report of healthcare provider-based diagnosis of OSA. ANALYSIS: Calculation of prevalence of OSA using statistical weighting to allow for direct comparison between veterans and nonveterans. Secondary analyses evaluated OSA by deployment status among veterans and compared average age of OSA diagnosis and differences in OSA prevalence among veterans and nonveterans stratified by gender, marital status, race/ethnicity, and posttraumatic stress disorder diagnosis. RESULTS: OSA diagnosis was more than twice as prevalent among veterans (21%, 95% CI 20%-22%) than nonveterans (9%, 95% CI 8%-10%; aOR: 2.56, 95% CI 2.22-2.95, P < .001). Deployment was associated with higher odds of OSA among veterans (aOR: 1.64, 95% CI 1.43-18.7, P < 001.) Veterans were diagnosed with OSA on average 5 years earlier than nonveterans. CONCLUSION: Veterans have a high prevalence rate of OSA, highlighting the importance of veterans' access to treatment. OSA is likely underdiagnosed in nonveterans, particularly among racial/ethnic minoritized groups. Future research should investigate disparities in access to diagnostic testing for racial/ethnic minority nonveterans and/or risk factors for OSA among racial/ethnic minority veterans. The increased odds of OSA among those with PTSD highlights in the importance of early referral for OSA testing by providers as well as development of trauma-informed strategies to promote OSA treatment adherence. Limitations include a bias toward underestimation of true disease prevalence due to self-report of diagnosis.

Mavacamten in hypertrophic obstructive cardiomyopathy: Prospects for AI integration and mitigating healthcare disparities.

Hypertrophic obstructive cardiomyopathy (HOCM) is an autosomal dominant condition that still remains significantly under-diagnosed worldwide. Early detection through clinical evaluation, imaging, and familial history is crucial to prevent severe complications such as heart failure and sudden cardiac death. While cuddsnt management strategies primarily offer symptomatic relief through pharmacotherapy or invasive procedures, their effectiveness and accessibility are limited, revealing substantial gaps in care. The emergence of Mavacamten, a recently FDA-approved drug, could potentially revolutionize HOCM management as it addresses the underlying pathophysiology by inhibiting cardiac myosin ATPase, showing promise in reducing obstruction and improving cardiac function. Our review aims to assess mavacamten's efficacy, emphasizing the pivotal role of genetic testing in identifying at-risk individuals and guiding precise diagnoses for personalized treatments. Additionally, we aim to highlight disparities in access to advanced diagnostics and therapies, particularly affecting underserved populations globally and within communities, as well as explore the potential of artificial intelligence (AI) in enhancing early detection and monitoring treatment responses in HOCM. This review thus offers valuable insights to inform future research directions and clinical practices aimed at optimizing outcomes for individuals with HOCM.

Patients' perspectives on cancer care disparities in Central and Eastern European countries: experiencing taboos, misinformation and barriers in the healthcare system.

Introduction: Despite the advancements in oncological medicine and research, cancer remains the second leading cause of death in Europe with Central and Eastern European countries, such as Slovakia and Croatia, showing the highest mortality rates and disparities in access to appropriate and comprehensive cancer care. Therefore, the primary aim of the current study is to investigate cancer patients' perspectives and experiences to understand the possible underlying reasons for cancer disparities. Methods: Croatian cancer patients (n=15) and Slovak patients (n=11) were recruited through social media platforms, patients' organisations, and hospital websites and offered participation in online focus group discussions on perceived disparities, barriers or malfunctioning during and after their cancer journey. Transcripts of video and audio recordings of the interviews were translated and analysed using Thematic analysis. Results: Six Croatian and five Slovak themes emerged from the focus group discussions highlighting encountered barriers and perceived disparities, as well as suggestions or unmet needs. Most of the themes are common to both groups, such as the lack of information and use of the internet, and the taboos regarding cancer or psycho-oncological support. However, some themes are specific to each group, for instance, Slovak cancer patients remarked the fact that they do not mind travelling to get treatment as long as they can be treated in the west of Slovakia, while Croatian patients highlighted the need for more information after the illness and the socioeconomic impact deriving from a cancer diagnosis. Discussion: Urgent intervention is needed in addressing disparities in Central and Eastern Europe. Present results could inform dedicated guidelines or better resource allocation strategies to reduce disparities in cancer care and promote inclusive healthcare.

Stem cell therapy: a new hope for stroke and traumatic brain injury recovery and the challenge for rural minorities in South Carolina.

Stroke and traumatic brain injury (TBI) are a significant cause of death and disability nationwide. Both are considered public health concerns in rural communities in the state of South Carolina (SC), particularly affecting the African American population resulting in considerable morbidity, mortality, and economic burden. Stem cell therapy (SCT) has emerged as a potential intervention for both diseases with increasing research trials showing promising results. In this perspective article, the authors aim to discuss the current research in the field of SCT, the results of early phase trials, and the utilization of outcome measures and biomarkers of recovery. We searched PubMed from inception to December 2023 for articles on stem cell therapy in stroke and traumatic brain injury and its impact on rural communities, particularly in SC. Early phase trials of SCT in Stroke and Traumatic Brain injury yield promising safety profile and efficacy results, but the findings have not yet been consistently replicated. Early trials using mesenchymal stem cells for stroke survivors showed safety, feasibility, and improved functional outcomes using broad and domain-specific outcome measures. Neuroimaging markers of recovery such as Functional Magnetic Resonance Imaging (fMRI) and electroencephalography (EEG) combined with neuromodulation, although not widely used in SCT research, could represent a breakthrough when evaluating brain injury and its functional consequences. This article highlights the role of SCT as a promising intervention while addressing the underlying social determinants of health that affect therapeutic outcomes in relation to rural communities such as SC. It also addresses the challenges ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and strategies to overcome barriers to clinical trial enrollment such as the ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and equitable healthcare.

The Role of Socioeconomic Status in Patients With Cutaneous Melanoma of the Head and Neck.

OBJECTIVE: To determine the effects of socioeconomic status (SES) on cutaneous melanoma of the head and neck. DATA SOURCE: Surveillance Epidemiology and End Results (SEER) Program. REVIEW METHODS: We conducted a retrospective analysis of patients diagnosed with cutaneous melanoma of the head and neck from 2006 to 2018, utilizing population-based data including socioeconomic status (SES) assessed by the US-based Yost quintile index. SES quintiles ranged from Group 1 (lowest) to Group 5 (highest). We examined disease severity at diagnosis (stage, Breslow thickness, and spread) and survival outcomes (overall survival, cause-specific survival) to assess the impact of SES. RESULTS: A total of 53,967 melanomas of the head and neck were identified (14,146 females; 39,821 males; 51,890 white; 125 black; 317 other). Group 1 patients had a significantly higher percentage of end-stage disease (stage IV) at diagnosis (n = 101; 3.2% vs. n = 280; 1.9%, respectively) (p < .001), increased Breslow thickness (.80 mm vs .60 mm, respectively) (p < .001), and higher percentage of distant disease (n = 152; 3.6% vs. n = 431; 2.1%, respectively) (p < .001). Group 1 patients experienced a higher death rate from melanoma than group 5 patients (n = 585; 14% vs n = 1,753; 8.6%). Survival increased with SES. CONCLUSIONS: When evaluating cutaneous melanoma of the head and neck, low SES is related to more severe disease at diagnosis and worse survival outcomes. Addressing the underlying causes of this relationship could lead to more equitable management and survival outcomes. LEVEL OF EVIDENCE: III Laryngoscope, 2024.

Psychological needs fulfillment and perinatal well-being among low-SES individuals: a mixed methods investigation.

Poor perinatal mental health is associated with deleterious effects and individuals with low socioeconomic status (SES) are at elevated risk. Fortifying multi-level resources of low-SES pregnant individuals to boost their well-being is a crucial step toward achieving equity in perinatal health. The purpose of this project was to explore what patterns of resources supported well-being among low-SES pregnant individuals in Colorado. In a prospective mixed methods cohort study, 23 low-SES pregnant individuals completed surveys and interviews. Participants were separated into 3 subgroups based on their overall Warwick-Edinburgh Mental Well-being Scale (WEMWBS) score and interviewed to identify multi-level resources that supported their well-being. Our analysis was framed by Self-Determination Theory which contends that three universal basic psychological needs are required for individuals to function in a healthy manner: autonomy, competence, and relatedness. We extrapolated resources that promoted perinatal competence, autonomy, and relatedness from the high well-being group. Perinatal-related knowledge (construct related to competence); mindfulness and intended pregnancy (constructs related to autonomy); and emotional, informational, and friend support, social capital, and connection to nature (constructs related to relatedness) were identified as the resources more frequently endorsed in the high well-being group. Targeting interventions to fortify specific multi-level resources that support the autonomy, competence, and relatedness of pregnant individuals facing socioeconomic disadvantage is a crucial step toward achieving equity in perinatal health.

Assessing bias in personal exposure estimates when indoor air quality is ignored: A comparison between GPS-enabled mobile air sensor data and stationary outdoor sensor data.

Neglecting indoor air quality in exposure assessments may lead to biased exposure estimates and erroneous conclusions about the health impacts of exposure and environmental health disparities. This study assessed these biases by comparing two types of personal exposure estimates for 100 individuals: one derived from real-time particulate matter (PM2.5) measurements collected both indoors and outdoors using a low-cost portable air monitor (GeoAir2.0) and the other from PurpleAir sensor network data collected exclusively outdoors. The PurpleAir measurement data were used to create smooth air pollution surfaces using geostatistical methods. To obtain mobility-based exposure estimates, both sets of air pollution data were combined with the individuals' GPS tracking data. Paired-sample t-tests were then performed to examine the differences between these two estimates. This study also investigated whether GeoAir2.0- and PurpleAir-based estimates yielded consistent conclusions about gender and economic disparities in exposure by performing Welch's t-tests and ANOVAs and comparing their t-values and F-values. The study revealed significant discrepancies between GeoAir2.0- and PurpleAir-based estimates, with PurpleAir data consistently overestimating exposure (t = 5.94; p < 0.001). It also found that females displayed a higher average exposure than males (15.65 versus. 8.55 µg/m3) according to GeoAir2.0 data (t = 4.654; p = 0.055), potentially due to greater time spent indoors engaging in pollution-generating activities traditionally associated with females, such as cooking. This contrasted with the PurpleAir data, which indicated higher exposure for males (43.78 versus. 46.26 µg/m3) (t = 3.793; p = 0.821). Additionally, GeoAir2.0 data revealed significant economic disparities (F = 7.512; p < 0.002), with lower-income groups experiencing higher exposure-a disparity not captured by PurpleAir data (F = 0.756; p < 0.474). These findings highlight the importance of considering both indoor and outdoor air quality to reduce bias in exposure estimates and more accurately represent environmental disparities.

Proportion of Patients in the United States Who Fill Their Nirmatrelvir/Ritonavir Prescriptions.

INTRODUCTION: Although real-world studies demonstrate that those prescribed nirmatrelvir/ritonavir (and particularly within 5 days of symptom onset) are less likely to experience severe COVID-19 outcomes, prior studies show that only a small fraction of patients with COVID-19 who are eligible for nirmatrelvir/ritonavir receive a prescription. Studies calculating the proportion of nirmatrelvir/ritonavir prescriptions filled and identifying individual- and pharmacy-level correlates of filling nirmatrelvir/ritonavir are lacking. METHODS: This retrospective cohort study included individuals aged ≥ 12 years with a nirmatrelvir/ritonavir prescription ordered at a large national retail pharmacy (December 22, 2021-August 12, 2023). Those taking contraindicated medications were excluded. For those with only one nirmatrelvir/ritonavir prescription ordered, the outcome was whether the prescription was filled (yes/no). In a subanalysis of these individuals, the outcome was whether the prescription was filled within 5 days of symptom onset (yes/no). For those with multiple prescriptions ordered, the outcome was whether > 1 (vs. 0 or 1) prescriptions were filled. A log-binomial regression with generalized estimating equations was used to identify individual (clinical and demographic) and pharmacy-level (percentage of trade area that is non-Hispanic white, urbanicity, US Census region, and tract-level area deprivation index) correlates. RESULTS: A total of 2,103,570 unique nirmatrelvir/ritonavir prescriptions were ordered for 1,985,990 individuals. Among the 95% of individuals prescribed only one nirmatrelvir/ritonavir course, 88% filled their prescription. Among those with > 1 prescription ordered, 77% (82,993/108,411) filled one and 13% (13,662/108,411) filled > 1. Patients ≥ 50 years of age and those with documented high-risk conditions were slightly more likely to fill prescriptions, regardless of whether one or multiple courses were ordered. Individuals with cancer, asthma, or taking corticosteroids or immunosuppressive medications were more likely to fill multiple prescriptions. CONCLUSIONS: Most patients filled their nirmatrelvir/ritonavir prescriptions. Interventions to improve uptake should focus on increasing patient and provider awareness, reducing nirmatrelvir/ritonavir prescribing disparities, and ensuring treatment initiation within 5 days.

Global burden of young-onset Alzheimer's disease and other dementias: a secondary analysis of the global burden of disease study, 2019.

The aging of the world population has led to an increase in the epidemiology and burden of Alzheimer's disease and other dementias. Objective: To describe the global burden of young-onset Alzheimer's disease and other dementias by world region and income through a secondary analysis of the Global Burden of Disease Study 2019. Methods: This is a descriptive cross-sectional ecological study. Data by sex and five-year age groups from 40 to 64 years were extracted from the Global Burden of Disease Study results tool. We performed a descriptive analysis of prevalence, incidence, deaths, disability-adjusted life years, years of life lost, and years lived with disability. Results: In 2019, young-onset Alzheimer's disease and other dementias presented a prevalence of 2.67 cases and an incidence of 0.44 per 1,000 inhabitants globally. It carried a significant burden, resulting in 1.16 disability-adjusted life years per 1,000 inhabitants, primarily due to years of life lost, and to a lesser extent due to years lived with disability. East Asia & the Pacific, Latin America & the Caribbean, and North America are the most affected regions. Burden rates are consistently higher among women; no gradient was observed by country income. Smoking was the most relevant risk factor, presenting a broad difference by country income level. Conclusion: The global burden of young-onset Alzheimer's disease and other dementias may reshape healthcare requirements and the societal impact of dementias, and its understanding is relevant to inform decisions related to service offerings and research agendas.

O envelhecimento da população mundial tem levado a um aumento da epidemiologia e da carga da Doença de Alzheimer e outras Demências. Objetivo: Descrever a Carga Global da Doença de Alzheimer de Início Precoce e outras Demências (DAIPoD) por região do mundo e nível de renda por meio de uma análise secundária do Estudo Global de Carga de Doenças (Global Burden of Disease Study ­ GBD), 2019. Métodos: Estudo ecológico transversal descritivo. Os dados de cinco anos por sexo e faixa etária de 40 a 64 anos foram extraídos da ferramenta de resultados do GBD. Realizou-se uma análise descritiva de prevalência, incidência, óbitos, Anos de Vida Ajustados por Incapacidade (Disability Adjusted Life Years ­ DALY), Anos de Vida Perdidos (Years of Life Lost ­ YLL) e Anos Vividos com Incapacidade (Years Lived with Disability ­ YLD). Resultados: Em 2019, a DAIPoD apresentou uma prevalência de 2,67 casos e uma incidência de 0,44 casos por 1.000. Foi observada uma carga significativa, resultando em 1,16 DALY por 1.000, principalmente devido aos YLL e, em menor grau, aos YLDs. As regiões mais afetadas foram o Leste Asiático e Pacífico, a América Latina e Caribe, e a América do Norte. As taxas de carga são consistentemente mais elevadas entre as mulheres; não foi observado um gradiente por nível de renda dos países. O tabagismo foi o fator de risco mais relevante, apresentando uma ampla diferença por nível de renda do país. Conclusão: A carga global do DAIPoD pode remodelar as necessidades de saúde e o impacto social das demências, e sua compreensão é relevante para informar decisões relacionadas à oferta de serviços e agendas de pesquisa.

Community-level bystander treatment and outcomes for witnessed out-of-hospital cardiac arrest in the state of Connecticut.

Background: Prior reports have demonstrated underutilization of bystander cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use in patients with witnessed out-of-hospital cardiac arrest (OHCA) in Connecticut. This study aimed to identify community-level risk factors that contribute to low rates of bystander intervention to improve statewide OHCA outcomes. Methods: We analyzed 2,789 adult patients with witnessed, non-traumatic OHCA submitted to the Connecticut Cardiac Arrest Registry to Enhance Survival (CARES) between 2013-2022. Patients were grouped by zip code, and associated municipal characteristics were acquired from 2022 United States Census Bureau data. Use of bystander CPR, attempted bystander AED defibrillation, and patient survival with favorable neurological function were determined for 19 of the 20 most populous cities and towns. Pearson correlation tests and linear regression were used to determine associations between OHCA treatment and outcomes with population size, racial/ethnic demographics, language use, income, and educational level. Results: Bystander CPR was lower in municipalities with population size > 100,000 and in communities where > 40% of residents are non-English-speaking. AED use was also lower in these municipalities, as well as those with per capita incomes < $40,000 or > 1/3 Hispanic residents. Communities with populations > 100,000, > 40% non-English-speaking, per capita income < $40,000, and > 1/3 Hispanic residents were all associated with lower survival rates. Conclusions: OHCA pre-hospital treatment and outcomes vary significantly by municipality in Connecticut. Community outcomes might be improved by specifically targeting urban population centers and Hispanic communities with culturally sensitive, low, or no-cost CPR and AED educational programs, using instructional languages other than English.

Single or Multiplayer Mode? Examining the Effects of Exergames in Improving Physical Health and Well-Being Among Older Adults.

Objective: This study assesses the impact of single-player and multiplayer exergaming modes on improving exercise intentions, reduction of fear of falling, and emotional well-being among older adults, primarily from low socioeconomic status (SES) backgrounds-a group often underrepresented in exergame research. Method: We engaged 48 participants, primarily from low-SES communities in Singapore for a 4-week community-based exergaming intervention. Participants were divided into four groups as follows: (1) conventional exercise alone, (2) exergames alone, (3) exergames with a health coach, and (4) exergames with a peer. Using two-way repeated-measures ANOVA, we analyzed the effects of these interventions. Results: The findings revealed that all exergaming modes positively influenced exercise intentions, fear of falling, and emotional well-being to varying extents. Notably, exergaming with a health coach significantly improved participants' exercise intentions and emotional well-being, underscoring the value of expert guidance in motivating and supporting older adults in adopting healthier lifestyles. Exergaming with a peer was most effective in reducing fear of falling, highlighting the importance of social support and peer interaction in addressing physical health concerns among this population. Conclusion: This study emphasizes the potential of tailored exergame interventions incorporating various social interactions to improve health outcomes for older adults, contributing to more inclusive health promotion strategies.

The Relationships Among Neighborhood Disadvantage, Mental Health and Developmental Disabilities Diagnoses, and Race/Ethnicity in a U.S. Urban Location.

Childhood health disparities by race have been found. Neighborhood disadvantage, which may result from racism, may impact outcomes. The aim of the study is to describe the distribution of mental health (MH) and developmental disabilities (DD) diagnosis across Child Opportunity Index (COI) levels by race/ethnicity. A cross-sectional study using 2022 outpatient visit data for children < 18 years living in the Louisville Metropolitan Area (n = 115,738) was conducted. Multivariable logistic regression analyses examined the association between diagnoses and COI levels, controlling for sex and age. Almost 18,000 children (15.5%) had a MH or DD (7,905 [6.8%]) diagnosis. In each COI level, the prevalence of MH diagnosis was lower for non-Hispanic (N-H) Black than for N-H White children. In adjusted analyses, there were no significant associations between diagnoses and COI for non-White children for MH or DD diagnoses. The odds of receiving a MH [OR: 1.74 (95% CI: 1.62, 1.87)] and DD [OR: 1.69 (95% CI: 1.51, 1.88)] diagnosis were higher among N-H White children living in Very Low compared to Very High COI areas. Current findings suggest that COI does not explain disparities in diagnosis for non-White children. More research is needed to identify potential multi-level drivers such as other forms of racism. Identifying programs, policies, and interventions to reduce childhood poverty and link children and families to affordable, family-centered, quality community mental and physical health resources is needed to ensure that families can build trusting relationships with the providers while minimizing stigma.

Long-term trends in mental health disparities across sexual orientations in the UK: a longitudinal analysis (2010-2021).

BACKGROUNDS: In the context of increasing hate crimes, legislative challenges, and anti-LGBTQ + sentiment, we conducted the first study that comprehensively examined long-term mental health disparities across sexual orientations in the UK from 2010 to 2021. Prior studies predominantly relied on cross-sectional or limited longitudinal designs, thus failing to capture evolving trends over a decade and providing crucial insights into the dynamics of mental health challenges faced by sexual minorities, essential for devising targeted public health interventions and policies. METHODS: Waves 2-12 of the UK Longitudinal Household Survey for adults (n = 52,591) were used. MCS-12 (Mental Health Component Scale of the Short-Form Health Survey) for mental functioning and GHQ (General Health Questionnaire) for psychological distress were included as the main outcomes, along with other measures of well-being. Mixed-effect longitudinal models were used to examine the trends of mental health disparities across sexual orientations. RESULTS: Relative to their heterosexual counterparts, psychological distress (GHQ) increased for gay men, lesbians, and women with "other" orientations. Bisexual women saw the steepest increase from 1.69 higher GHQ vs. their heterosexual counterparts in 2010 (95%CI: 0.81 to 2.57), up to 3.37 in 2021 (95%CI: 2.28 to 4.45). Similar trends were also shown in the other measures. CONCLUSIONS: The study highlights increases in mental health disparities between sexual minorities and heterosexuals. The escalating psychological distress among sexual minorities, particularly bisexual women, calls for an urgent, multi-faceted, and intersectoral response. This approach must address both symptoms and the social structures perpetuating these disparities across sexual orientations.

Addressing dermatologic concerns and teledermatology in undomiciled and sheltered populations.

Homelessness in the United States is a significant public health issue, with dermatologic disease being the most prevalent health concern among the undomiciled and sheltered populations. Despite a growing need for dermatologic care, the supply of dermatologists remains insufficient, contributing to disparities in healthcare access for this vulnerable group. This review aims to detail the spectrum of dermatologic conditions experienced by homeless individuals, identify barriers to adequate care, and explore teledermatology as a potential solution to bridge these gaps. A comprehensive literature review was conducted, analyzing studies and reports on dermatologic issues prevalent among the homeless population and the efficacy of teledermatology in addressing these concerns. Homeless individuals face a wide range of dermatologic problems, from common conditions like acne and eczema to severe issues such as cellulitis, leg ulcers, and skin cancer. Drug abuse, domestic and sexual abuse, and parasitic infestations further complicate the dermatologic health of this population. Teledermatology has emerged as a promising tool to enhance access to dermatologic care, showing significant improvements in clinical outcomes and accessibility, especially in underserved urban settings. However, challenges remain, such as the digital divide affecting the elderly and low-income populations, which could potentially exacerbate disparities. Addressing the dermatologic needs of the homeless population requires a multifaceted approach. Teledermatology offers a viable solution to improve care access and efficiency, but additional efforts are necessary to ensure inclusivity and avoid further marginalization. Volunteer-driven multidisciplinary clinics also play a crucial role in providing care, though they face challenges in continuity and resource availability. Future strategies should focus on integrating teledermatology with other supportive services to create a comprehensive care model for this underserved population.

Racial differences in treatment adherence and response to acupuncture and cognitive behavioral therapy for insomnia among Black and White cancer survivors.

BACKGROUND: Racial disparities in sleep are well-documented. However, evidence-based options for addressing these disparities are lacking in cancer populations. To inform future research on sleep interventions, this study aims to understand racial differences in treatment responses to acupuncture and cognitive behavioral therapy for insomnia (CBT-I) among Black and White cancer survivors. METHODS: We conducted a secondary analysis of a comparative effectiveness trial evaluating acupuncture versus CBT-I for insomnia in cancer survivors. We compared insomnia severity, sleep characteristics, and co-morbid symptoms, as well as treatment attitudes, adherence, and responses among Black and White participants. RESULTS: Among 156 cancer survivors (28% Black), Black survivors reported poorer sleep quality, longer sleep onset latency, and higher pain at baseline, compared to White survivors (all p < 0.05). Black survivors demonstrated lower adherence to CBT-I than White survivors (61.5% vs. 88.5%, p = 0.006), but their treatment response to CBT-I was similar to white survivors. Black survivors had similar adherence to acupuncture as white survivors (82.3% vs. 93.4%, p = 0.16), but they had greater reduction in insomnia severity with acupuncture (-3.0 points, 95% CI -5.4 to 0.4, p = 0.02). CONCLUSION: This study identified racial differences in sleep characteristics, as well as treatment adherence and responses to CBT-I and acupuncture. To address racial disparities in sleep health, future research should focus on improving CBT-I adherence and confirming the effectiveness of acupuncture in Black cancer survivors.

Impact of breast cancer on in-hospital mortality and health care utilization in female heart failure patients: a retrospective cohort study.

Background: Heart failure (HF) and breast cancer are major health concerns with overlapping risk factors. This study investigated the impact of breast cancer on in-hospital mortality, length of stay, and health care charges in patients with HF. Methods: A retrospective cohort study was conducted using data from the National Inpatient Sample, focusing on female patients diagnosed with both breast cancer and HF. A control group of patients with HF without breast cancer was also analyzed. Main outcomes included in-hospital mortality, length of stay, and health care charges. Statistical analysis involved logistic and linear regression models. Results: The study included 17,551 unweighted cases of breast cancer, corresponding to 87,755 weighted cases. Breast cancer, particularly metastatic, was associated with increased in-hospital mortality across various types of HF. Patients with breast cancer and HF had longer hospital stays, which was more pronounced in metastatic cases. However, the impact on hospital charges was not consistent across the different HF types. Racial disparities were evident, with Native Americans showing the highest mortality risk in acute HF. Conclusion: Breast cancer significantly increases the in-hospital mortality risk and length of hospital stay in patients with HF. These findings highlight the need for integrated cardiovascular and oncological care, especially in the presence of metastatic breast cancer. The study underscores the importance of tailored management strategies for patients with HF with concurrent breast cancer and points toward the necessity for addressing racial disparities in health care.

Using Social Vulnerability Indices to Predict Priority Areas for Prevention of Sudden Unexpected Infant Death in Cook County, IL: Cross-Sectional Study.

Background: The incidence of sudden unexpected infant death (SUID) in the United States has persisted at roughly the same level since the mid-2000s, despite intensive prevention efforts around safe sleep. Disparities in outcomes across racial and socioeconomic lines also persist. These disparities are reflected in the spatial distribution of cases across neighborhoods. Strategies for prevention should be targeted precisely in space and time to further reduce SUID and correct disparities. Objective: We sought to aid neighborhood-level prevention efforts by characterizing communities where SUID occurred in Cook County, IL, from 2015 to 2019 and predicting where it would occur in 2021-2025 using a semiautomated, reproducible workflow based on open-source software and data. Methods: This cross-sectional retrospective study queried geocoded medical examiner data from 2015-2019 to identify SUID cases in Cook County, IL, and aggregated them to "communities" as the unit of analysis. We compared demographic factors in communities affected by SUID versus those unaffected using Wilcoxon rank sum statistical testing. We used social vulnerability indicators from 2014 to train a negative binomial prediction model for SUID case counts in each given community for 2015-2019. We applied indicators from 2020 to the trained model to make predictions for 2021-2025. Results: Validation of our query of medical examiner data produced 325 finalized cases with a sensitivity of 95% (95% CI 93%-97%) and a specificity of 98% (95% CI 94%-100%). Case counts at the community level ranged from a minimum of 0 to a maximum of 17. A map of SUID case counts showed clusters of communities in the south and west regions of the county. All communities with the highest case counts were located within Chicago city limits. Communities affected by SUID exhibited lower median proportions of non-Hispanic White residents at 17% versus 60% (P<.001) and higher median proportions of non-Hispanic Black residents at 32% versus 3% (P<.001). Our predictive model showed moderate accuracy when assessed on the training data (Nagelkerke R2=70.2% and RMSE=17.49). It predicted Austin (17 cases), Englewood (14 cases), Auburn Gresham (12 cases), Chicago Lawn (12 cases), and South Shore (11 cases) would have the largest case counts between 2021 and 2025. Conclusions: Sharp racial and socioeconomic disparities in SUID incidence persisted within Cook County from 2015 to 2019. Our predictive model and maps identify precise regions within the county for local health departments to target for intervention. Other jurisdictions can adapt our coding workflows and data sources to predict which of their own communities will be most affected by SUID.

Racial and ethnic disparities in potentially inappropriate medication use in patients with dementia.

INTRODUCTION: Racial and ethnic disparities in potentially inappropriate medication (PIM) use among older adults with dementia are unclear. METHODS: Data were drawn from the baseline visits of participants who were ≥60 years old and diagnosed with dementia in the National Alzheimer's Coordinating Center Uniform Data Set (NACCUDS) recruited from National Institute on Aging (NIA)-funded Alzheimer's Disease Research Centers (ADCs) throughout the United States. PIM utilization was evaluated using the 2019 American Geriatrics Society Beers Criteria for PIM Use in Older Adults. We estimated the association between race and ethnicity and the following outcomes and estimation models: (1) any PIM use, any PIM in each drug class, and any PIM best avoided in dementia patients using logistic regression models, (2) total number of medications, total number of PIMs, and anticholinergic burden scale (ACBS) using Poisson or negative binomial regression models, and (3) proportion of total medications that were PIMs using generalized linear models (GLM). RESULTS: Compared to White participants, Black, Hispanic, and Asian participants reported taking fewer total medications (incidence rate ratio [IRR] ± standard error[SE] = 0.903 ± 0.017, 0.875 ± 0.021, and 0.912 ± 0.041, respectively, all p < 0.01). Asian participants were less likely to be exposed to any PIM (odds ratio [OR] ± SE = 0.619 ± 0.118, p < 0.05). Compared to White participants, Black participants were less likely to be exposed to benzodiazepine (OR ± SE = 0.609 ± 0.094, p < 0.01) and antidepressant (OR ± SE = 0.416 ± 0.103, p < 0.001) PIMs, but greater antipsychotic (OR ± SE = 1.496 ± 0.204, p < 0.01), cardiovascular (OR ± SE = 2.193 ± 0.255, p < 0.001), and skeletal muscle relaxant (OR ± SE = 2.977 ± 0.860, p < 0.001) PIMs. Hispanic participants were exposed to greater skeletal muscle relaxant PIMs and had lower anticholinergic burden. Asian participants were exposed to fewer benzodiazepine PIMs. DISCUSSION: Significant racial and ethnic disparities in exposure to PIMs and PIMs by medication category in dementia research participants who have access to dementia experts found in the study suggest that disparities may be wider in the larger community.