Expressions of inequalities in access to health services in Latin America: a scoping review. / Expressões das desigualdades no acesso aos serviços de saúde na América Latina: uma revisão de escopo.

Latin America is one of the most unequal regions in the world. Due to colonization and occupation of the territory, structural inequalities mark people's living and health conditions. In health, we can observe how different dimensions of inequalities condition access and user experience in the service. This scoping review aimed to map and analyze the expressions of inequalities in access to health services in Latin American countries from the scientific production of the last ten years, from which 272 articles were selected. The categorical analysis classified articles into five dimensions, which characterize the expressions of inequalities in access to health services: socioeconomic, geospatial, ethnic/racial, gender, and people with disabilities. The most frequent access barriers were socioeconomic or ability to pay, geographic or transportation difficulty, availability of services, cultural/ethnic, communication, and architecture. The main conditioning factors of health inequalities were income, schooling, transportation, and living conditions. Combating health inequalities requires proposing structuring and sectorial policies.

A América Latina é uma das regiões mais desiguais do mundo. Desigualdades estruturais, fruto dos processos de colonização e ocupação do território, marcam as condições de vida e saúde das pessoas. Na saúde, é possível observar como diferentes dimensões das desigualdades condicionam o acesso e a experiência do usuário no serviço. Objetivou-se mapear e analisar as expressões das desigualdades no acesso aos serviços de saúde nos países da América Latina a partir da produção científica dos últimos dez anos. O desenho de estudo foi a revisão de escopo, por meio da qual foram selecionados 272 artigos. A análise categorial permitiu a classificação dos artigos em cinco dimensões, que caracterizam as expressões das desigualdades no acesso aos serviços de saúde: socioeconômica, geoespacial, étnica/racial, gênero e de pessoas com deficiência. As barreiras de acesso mais frequentes foram: socioeconômica ou capacidade de pagamento; geográfica ou dificuldade de transporte; disponibilidade de serviços; cultural/étnica; comunicação; e arquitetônica. Os principais fatores condicionantes das desigualdades em saúde foram renda, escolaridade, transporte e condições de moradia. O enfrentamento das desigualdades em saúde requer a proposição de políticas estruturantes e setoriais.

Race and Ethnicity, Socioeconomic Factors, and Epigenetic Age Acceleration in Survivors of Childhood Cancer.

Importance: Current research in epigenetic age acceleration (EAA) is limited to non-Hispanic White individuals. It is imperative to improve inclusivity by considering racial and ethnic minorities in EAA research. Objective: To compare non-Hispanic Black with non-Hispanic White survivors of childhood cancer by examining the associations of EAA with cancer treatment exposures, potential racial and ethnic disparity in EAA, and mediating roles of social determinants of health (SDOH). Design, Setting, and Participants: In this cross-sectional study, participants were from the St Jude Lifetime Cohort, which was initiated in 2007 with ongoing follow-up. Eligible participants included non-Hispanic Black and non-Hispanic White survivors of childhood cancer treated at St Jude Children's Research Hospital between 1962 and 2012 who had DNA methylation data. Data analysis was conducted from February 2023 to May 2024. Exposure: Three treatment exposures for childhood cancer (chest radiotherapy, alkylating agents, and epipodophyllotoxin). Main Outcomes and Measures: DNA methylation was generated from peripheral blood mononuclear cell-derived DNA. EAA was calculated as residuals from regressing Levine or Horvath epigenetic age on chronological age. SDOH included educational attainment, annual personal income, and the socioeconomic area deprivation index (ADI). General linear models evaluated cross-sectional associations of EAA with race and ethnicity (non-Hispanic Black and non-Hispanic White) and/or SDOH, adjusting for sex, body mass index, smoking, and cancer treatments. Adjusted least square means (ALSM) of EAA were calculated for group comparisons. Mediation analysis treated SDOH as mediators with average causal mediation effect (ACME) calculated for the association of EAA with race and ethnicity. Results: Among a total of 1706 survivors including 230 non-Hispanic Black survivors (median [IQR] age at diagnosis, 9.5 [4.3-14.3] years; 103 male [44.8%] and 127 female [55.2%]) and 1476 non-Hispanic White survivors (median [IQR] age at diagnosis, 9.3 [3.9-14.6] years; 766 male [51.9%] and 710 female [48.1%]), EAA was significantly greater among non-Hispanic Black survivors (ALSM = 1.41; 95% CI, 0.66 to 2.16) than non-Hispanic White survivors (ALSM = 0.47; 95% CI, 0.12 to 0.81). Among non-Hispanic Black survivors, EAA was significantly increased among those exposed to chest radiotherapy (ALSM = 2.82; 95% CI, 1.37 to 4.26) vs those unexposed (ALSM = 0.46; 95% CI, -0.60 to 1.51), among those exposed to alkylating agents (ALSM = 2.33; 95% CI, 1.21 to 3.45) vs those unexposed (ALSM = 0.95; 95% CI, -0.38 to 2.27), and among those exposed to epipodophyllotoxins (ALSM = 2.83; 95% CI, 1.27 to 4.40) vs those unexposed (ALSM = 0.44; 95% CI, -0.52 to 1.40). The association of EAA with epipodophyllotoxins differed by race and ethnicity (ß for non-Hispanic Black survivors, 2.39 years; 95% CI, 0.74 to 4.04 years; ß for non-Hispanic White survivors, 0.68; 95% CI, 0.05 to 1.31 years) and the difference was significant (1.77 years; 95% CI, 0.01 to 3.53 years; P for interaction = .049). Racial and ethnic disparities in EAA were mediated by educational attainment (

The contribution of school climate, socioeconomic status, ethnocultural affiliation, and school level to language arts scores: A multilevel moderated mediation model.

Evidence suggests that schools can promote academic success and higher grades by reducing the negative effect of socioeconomic disadvantage through the mediation of a positive climate. However, a critical question largely remains unanswered: Does the mediation of positive school climate on the link between socioeconomic background and academic achievement remain similar for all schools in all cultures and among all ethnic groups? Using a nationally representative database with school climate and language arts test scores of primary and secondary Hebrew and Arabic language schools in Israel (N = 1188), we examined the contribution of both internal (i.e., school climate and grade level) and external (i.e., ethnocultural and socioeconomic backgrounds) influences on schools' language arts test scores. Using multilevel analyses, findings indicated that the magnitude of the mediation of positive school climate, as manifested by a greater sense of security and decreased school violence, in the link between socioeconomic status and test scores was significant only for elementary schools educating Arabic language minority populations and not for nonminority elementary Hebrew language schools. However, this was not the case for secondary schools, where evidence of higher test scores in schools with positive school climate did not emerge. Despite the many socioeconomic obstacles that ethnocultural minority students face, these results indicate that schools prioritizing a positive climate can increase academic opportunities and level the playing field for students from vulnerable cultures and backgrounds. School professionals are encouraged to invest resources that improve school climate to support underprivileged students' prosperity, especially in schools educating students from minoritized backgrounds, where more significant contributions likely exist. Implications for educational policy and future research are discussed.

Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in Pennsylvania.

The incidence of low birthweight is a common measure of public health due to the increased risk of complications associated with infants having low and very low birthweights. Moreover, many factors that increase the risk of an infant having a low birthweight can be linked to the mother's socioeconomic status, leading to large racial/ethnic disparities in its incidence. Our objective is thus to analyze the incidence of low and very low birthweight in Pennsylvania counties by race/ethnicity. Due to the small number of births in many Pennsylvania counties when stratified by race/ethnicity, our methods must walk a fine line: While we wish to leverage spatial structure to improve the precision of our estimates, we also wish to avoid oversmoothing the data, which can yield spurious conclusions. As such, we develop a framework by which we can measure (and control) the informativeness of our spatial model. To analyze the data, we first model the Pennsylvania birth data using the conditional autoregressive model to demonstrate the extent to which it can lead to oversmoothing. We then reanalyze the data using our proposed framework and highlight its ability to detect (or not detect) evidence of racial/ethnic disparities in the incidence of low birthweight.

Association of race, ethnicity and insurance status with outcomes for patients with acute pulmonary embolism treated by PERT: a retrospective observational study.

BACKGROUND: Management of PE has become streamlined with the implementation of PE Response Teams (PERT). Race, ethnicity and insurance status are known to influence the outcomes of patients with acute PE. However, whether the implementation of PERT-based care mitigates these racial and ethnic disparities remains unknown. Our aim was to assess the association of race, ethnicity and insurance with outcomes for patients with acute PE managed by PERT. METHODS: We performed a retrospective chart review of 290 patients with acute PE, who were admitted to one of three urban teaching hospitals in the Mount Sinai Health System (New York, NY) from January 2021 to October 2023. A propensity score-weighted analysis was performed to explore the association of race, ethnicity and insurance status with overall outcomes. RESULTS: Median age of included patients was 65.5 years and 149 (51.4%) were female. White, Black and Asian patients constituted 56.2% (163), 39.6% (115) and 3.5% [10] of the cohort respectively. Patients of Hispanic or Latino ethnicity accounted for 8.3% [24] of the sample. The 30-day rates of mortality, major bleeding and 30-day re-admission were 10.3%, 2.1% and 12.8% respectively. Black patients had higher odds of major bleeding (odds ratio [OR]: 1.445; p < 0.0001) when compared to White patients. Patients of Hispanic or Latino ethnicity had lower odds of receiving catheter-directed thrombolysis (OR: 0.966; p = 0.0003) and catheter-directed or surgical embolectomy (OR: 0.906; p < 0.0001) when compared to non-Hispanic/Latino patients. Uninsured patients had higher odds of receiving systemic thrombolysis (OR: 1.034; p = 0.0008) and catheter-directed thrombolysis (OR: 1.059; p < 0.0001), and lower odds of receiving catheter-directed or surgical embolectomy (OR: 0.956; p = 0.015) when compared to insured patients, although the odds of 30-day mortality and 30-day major bleeding were not significantly different. CONCLUSION: Within a cohort of PE patients managed by PERT, there were significant associations between race, ethnicity and overall outcomes. Hispanic or Latino ethnicity and uninsured status were associated with lower odds of receiving catheter-directed or surgical embolectomy. These results suggest that disparities related to ethnicity and insurance status persist despite PERT-based care of patients with acute PE.

The Role of Culturally Appropriate Mediated Communication Strategies to Reduce Hepatitis B and Liver Cancer Disparities.

Asian, Pacific Islander, African, and Caribbean communities in the U.S. are heavily impacted by chronic hepatitis B (HBV) and hepatocellular carcinoma (HCC). Educating these groups about the link between the two diseases is imperative to improve screening rates and health outcomes. This study aims to identify and incorporate preferred mediated communication methods into community-specific educational campaigns which emphasize the connection between the conditions, to promote uptake of prevention and management behaviors for HBV and HCC. Fifteen focus groups and two key informant interviews were conducted with Micronesian, Chinese, Hmong, Nigerian, Ghanaian, Vietnamese, Korean, Somali, Ethiopian, Filipino, Haitian, and Francophone West African communities. Data were analyzed using thematic coding and analysis. Findings demonstrate that all communities preferred materials be offered in both English and native languages and requested that materials highlight the connection between HBV and HCC. Delivery channel preferences and messaging themes varied by group. This study provides insight into community-specific preferences for learning about HBV and HCC. The findings can be used to design culturally and linguistically tailored, multi-platform, health education campaigns to facilitate improved HBV screening and vaccination rates and increase knowledge about HCC risk among highly impacted communities in the U.S.

Diversity, Equity, and Inclusion in Urolithiasis Clinical Trials: Representative Enrollment by Race, Ethnicity, and Sex.

INTRODUCTION: We sought to assess whether participant enrollment is appropriately representative of the overall urolithiasis population in published urolithiasis clinical trials. METHODS: PubMed was queried for urolithiasis US clinical trials published from 2000 to 2022. Trials were evaluated for reporting patient race/ethnicity and sex data. These were then compared to the stone prevalence reported by the National Health and Nutrition Examination Survey from 2015 to 2018. We calculated a representation quotient (RQ) to describe enrollment of patients and then stratified by geographic location, study type, and funding source. RESULTS: Of the 180 urolithiasis trials performed in the US, we identified 40 trials (22%) reporting race or ethnicity and 104 trials (58%) reporting sex. Male and female participants are well represented (RQ 0.97 and 1.02, respectively). Overall, the RQ of Black, Asian American and Pacific Islander, White, Hispanic, and mixed/other participants is 1.84, 1.06, 1.04, 0.46, and 0.34, respectively. Trials completed in the Western Section and multi-institutional trials have the most proportional enrollment, while trials in the South Central and Southeastern Sections have underrepresentation of mixed/other and Hispanic patients. Enrollment was similar among all trial subtypes. Government- and industry-funded trials had more diverse enrollment than academic-funded trials. CONCLUSIONS: Only 1 in 4 published US urolithiasis trials report race or ethnicity enrollment. Mixed race and Hispanic participants are consistently underrepresented, while Black participants are overrepresented. Government- and industry-sponsored multi-institutional trials have the most proportional representation. Investigators should prioritize inclusive recruitment and improve reporting practices to accurately reflect the diversity of the urolithiasis population.

Incidence of menstrual symptoms suggestive of possible endometriosis in adolescents: and variance in these by ethnicity and socio-economic status.

BACKGROUND: Dysmenorrhoea affects up to 94% of adolescents who menstruate; approximately one third miss school and activities. Dysmenorrhoea can occur without identified pelvic pathology (primary dysmenorrhoea) or in association with other conditions (secondary dysmenorrhoea). In adolescence, the commonest cause of secondary dysmenorrhoea is endometriosis. The incidence of symptoms in adolescence suggesting possible endometriosis has not been previously documented in GP records. AIM: To document incidence of adolescent endometriosis and symptoms associated with endometriosis in English GP records. METHOD: Data from the QResearch primary care database were used for adolescent females aged 10- 19 years between 1 January 2011 and 30 June 2021, reported using descriptive statistics. RESULTS: The population cohort included 2 843 347 female adolescents; 98 887 participants had coded dysmenorrhoea (3.48%) and 1994 (0.07%) had documented endometriosis. The cumulative incidence for the cohort who turned 10 years old in 2011 was 7.2% for dysmenorrhoea and 0.12% for endometriosis. The period prevalence of coded symptoms during adolescence potentially associated with dysmenorrhoea and endometriosis includes: heavy menstrual bleeding (3.73%), irregular menstrual bleeding (2.21%), pelvic pain (0.63%), dyspareunia (0.40%), premenstrual syndrome (PMS)/premenstrual dysphoric disorder (PMDD) (0.22%), cystitis (8.45%), and irritable bowel syndrome (IBS) (1.00%). Disparities in coding were observed for these variables by ethnicity and socioeconomic status. Incidence of prescribed hormonal medication, with and without coded dysmenorrhoea, varied by ethnicity. This was less apparent for non-steroidal anti-inflammatory medications. CONCLUSION: Prevalence of coded dysmenorrhoea in GP records is significantly lower than community surveys suggest; however, adolescent menstrual symptoms are commonly encountered in primary care, and deserve specific guidance and resources. There are demographic patterns, likely structural, that warrant further exploration.

Assessing the heterogeneity of ethnic categories for patient records in primary care.

BACKGROUND: UK general practice surgeries collect data regarding patient ethnicities, typically at registration. These data are subsequently used in both clinical care and research, for example, when embedded in risk modelling tools. The published standard list of ethnic categories exists, but little is known about what happens in frontline practice. AIM: To document the variation in ethnic categories available on online patient registration forms across GP surgeries in Oxfordshire. METHOD: Of all 67 GP surgeries in Oxfordshire, 56 had online registration forms that included an option list for ethnicity reporting. The authors compared these against the 2001, 2011, and 2021 UK census ethnic group categorisation. RESULTS: Significant heterogeneity was identified across practices. The number of options for ethnicity group ranged from 5 to 84, with a median of 14, compared to the census lists that comprise of 19 (2021), 18 (2011), and 16 (2001) groups. Of the 56 practices, six used the 2001 census list, five used the 2011 census list, and none used the 2021 census list. Overall, 45 practices used lists that differed from any census list, including categories not typically considered to be ethnic, for example 'Muslim' or 'Buddhist', meaning individuals could potentially identify with multiple options. CONCLUSION: High-quality research and healthcare data that includes patient ethnicity is essential to understand, document, and mitigate against health inequalities. However, this may be compromised by poorly conceived ethnic categorisations and a lack of standardisation. This pilot/exploratory study suggests that the ethnicity records in primary health care may be neither standardised nor meaningful.

Racial and Ethnic and Rural Variations in Access to Primary Care for Veterans Following the MISSION Act.

Importance: The 2018 Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks (VA MISSION) Act was implemented to increase timely access to care by expanding veterans' opportunities to receive Veterans Affairs (VA)-purchased care in the community (community care [CC]). Because health equity is a major VA priority, it is important to know whether Black and Hispanic veterans compared with White veterans experienced equitable access to primary care within the VA MISSION Act. Objective: To examine whether utilization of and wait times for primary care differed between Black and Hispanic veterans compared with White veterans in rural and urban areas after the implementation of the VA MISSION Act. Design, Setting, and Participants: This cross-sectional study used VA and CC outpatient and consult data from the VA's Corporate Data Warehouse for fiscal years 2021 to 2022 (October 1, 2020, to September 30, 2022). Separate fixed-effects multivariable models were run to predict CC utilization and wait times. Each model was run twice, once comparing Black and White veterans and then comparing Hispanic and White veterans. Adjusted risk ratios (ARRs) were calculated for Black and Hispanic veterans compared with White veterans within rurality status for both outcomes. Main Outcomes and Measures: VA and CC primary care utilization as measured by primary care visits (utilization cohort); VA and CC primary care access as measured by mean wait times (access cohort). Results: A total of 5 046 087 veterans (994 517 [19.7%] Black, 390 870 [7.7%] Hispanic, and 3 660 700 [72.6%] White individuals) used primary care from fiscal years 2021 to 2022. Utilization increased for all 3 racial and ethnicity groups, more so in CC than VA primary care. ARRs were significantly less than 1 regardless of rurality status, indicating Black and Hispanic veterans compared with White veterans were less likely to utilize CC for primary care. There were 468 246 primary care consultations during the study period. The overall mean (SD) wait time was 33.3 (32.4) days. Despite decreases in wait times over time, primary care wait times remained longer in CC than in VA. Black veterans compared with White veterans had significantly longer wait times in CC (ARRs >1) but significantly shorter wait times in VA (ARRS <1) regardless of rurality status in VA and CC. CC wait times for Hispanic veterans compared with White veterans were longer in rural areas only and in VA rural and urban areas (ARRs >1). Conclusion and Relevance: The results of this cross-sectional study suggest that additional research should explore the determinants and implications of utilization differences among Black and Hispanic veterans compared with White veterans. Efforts to promote equitable primary care access for all veterans are needed so that policy changes can be more effective in ensuring timely access to care for all veterans.

Racial and Ethnic Disparities in Cancer Occurrence and Outcomes in Rural United States: A Scoping Review.

BACKGROUND: Cancer is the second-leading cause of death in the United States. Most studies have reported rural versus urban and Black versus White cancer disparities. However, few studies have investigated racial disparities in rural areas. OBJECTIVE: We conducted a literature review to explore the current state of knowledge on racial and ethnic disparities in cancer attitudes, knowledge, occurrence, and outcomes in rural United States. METHODS: A systematic search of PubMed and Embase was performed. Peer-reviewed articles published in English from 2004-2023 were included. Three authors independently reviewed the articles and reached a consensus. RESULTS: After reviewing 993 articles, a total of 30 articles met the inclusion criteria and were included in the present review. Studies revealed that underrepresented racial and ethnic groups in rural areas were more likely to have low cancer-related knowledge, low screening, high incidence, less access to treatment, and high mortality compared to their White counterparts. CONCLUSION: Underrepresented racial and ethnic groups in rural areas experienced a high burden of cancer. Improving social determinants of health may help reduce cancer disparities and promote health.

Racial and ethnic disparities related to the Medicare Part D Medication Therapy Management Program.

Medicare's Part D Medication Therapy Management (MTM) programs serve approximately 4.5 million eligible beneficiaries. Prior research suggested that the thresholds to enter Part D MTM programs would disproportionately favor White beneficiaries compared with Black or Hispanic beneficiaries. This article summarizes those initial studies and compares the results with more recent analyses of racial and ethnic differences in MTM program enrollment, which, in general, show higher odds of MTM enrollment for minority beneficiaries compared with White beneficiaries. Disparities in the utilization of comprehensive medication review (CMR), a core MTM service, are also discussed. Although trends vary, disparities exist for various minority groups. For example, Black beneficiaries and Hispanic beneficiaries are less likely to be offered a CMR compared with White beneficiaries. Additionally, minority (Asian, Hispanic, and North American Native) beneficiaries are less likely to receive a CMR after being offered the service compared with White beneficiaries. Black, Hispanic, and Asian beneficiaries are more likely than White beneficiaries to have a longer duration between MTM enrollment and CMR offer. There is also a distinct difference in the type of pharmacist (ie, plan pharmacist, MTM vendor pharmacist, or community pharmacist) completing the CMR for certain racial and ethnic groups. For example, compared with White beneficiaries, Black beneficiaries were less likely to receive a CMR from a community pharmacist, whereas Asian beneficiaries were more likely.

Racial-Ethnic Gaps in Pandemic-Related Economic Hardship: Age Differences Among Older Adults.

OBJECTIVES: Racial-ethnic disparities in experiences of economic hardship during the pandemic are well documented in the population overall and among older adults. Existing research shows that this economic hardship was much less common at older than younger ages. Little is known about the intersection of racial-ethnic and age disparities in pandemic-related hardship in later life. This research report investigated racial-ethnic gaps in economic hardship by age group among older adults. METHODS: Data were from the 2018 and 2020 U.S. Health and Retirement Study (HRS) including the 2020 coronavirus disease 2019 module. We estimated Heckman-corrected linear probability models to examine differences in experiences of pandemic-related economic hardship in the 2020 HRS by race-ethnicity (non-Hispanic White, non-Hispanic Black, U.S.-born Hispanic, foreign-born Hispanic) across age groups (55-64, 65-74, 75+). In the multivariable analysis, we controlled for sociodemographic characteristics, participation in social programs, pre-existing health conditions and behaviors, and economic resources from the 2018 HRS. RESULTS: Experiences of economic hardship declined with age within each racial-ethnic group. Racial-ethnic gaps in hardship remained at older ages without any controls. However, when all controls were added, racial-ethnic gaps in economic hardship were eliminated for those ages 75+. Individual characteristics prior to the pandemic explained racial-ethnic differences in hardship for the oldest adults (75+) but did not explain gaps for those ages 55-74. DISCUSSION: Results point to structural factors generating new racial-ethnic gaps in pandemic-related economic hardship among those approaching retirement (ages 55-74) that did not affect the oldest adults (ages 75+).

Understanding ethnic inequities associated with tobacco use in Aotearoa New Zealand: a quantitative analysis.

Despite the inclusion of both individual interventions and population-based measures in the Aotearoa New Zealand (Aotearoa NZ) Tobacco Control Programme, the gap between Maori, Pacific peoples and European/Asian/Other (EAO) populations in tobacco use has not decreased significantly. Tobacco control interventions that focus on individual behaviour change have produced little impact towards reducing tobacco smoking inequities for Maori and Pacific peoples in Aotearoa NZ. Using data from the New Zealand Health Survey (NZHS), this research investigates the impact of the wider determinants of health and individual-level factors on inequities in tobacco use between Maori, Pacific peoples and EAO. A conceptual framework was developed to support the theoretical positioning of this research and to inform data categorization, framing, discourse, analyses and interpretation. We conducted hierarchical regression to examine the effect of factors from each domain on ethnic inequities in tobacco use. We found that socioeconomic factors accounted for a significant amount of the disparity in adults currently smoking between Maori and Pacific peoples and EAO. Our results suggest that socioeconomic factors may be a more effective target of intervention than individual behaviours for reducing tobacco-related inequities. Addressing the broader determinants of health through comprehensive cross-agency cooperation to reduce ethnic inequities in tobacco use in Aotearoa NZ is likely to be more effective than individual behaviour change approaches.

Ethnic Disparities for Survival and Mortality in New Zealand Patients With Head and Neck Cancer.

Importance: It is essential to identify inequitable cancer care for ethnic minority groups, which may allow policy change associated with improved survival and decreased mortality and morbidity. Objective: To investigate ethnic disparities in survival and mortality among New Zealand (NZ) patients with head and neck cancer (HNC) and the association of other variables, including socioeconomic status, tumor stage, and age at diagnosis, with survival rates. Design, Setting, and Participants: This retrospective cohort study was conducted among NZ patients diagnosed with specific HNCs from 2010 to 2020. Anonymized data were obtained from the NZ Cancer Registry, including patients diagnosed from International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes C00-C14 and C30-C32. Data were analyzed from July 2020 through January 2024. Main Outcomes and Measures: Censored Kaplan-Meier estimates were used to analyze survival distribution. Cox regression models were used to estimate the association of age, tumor stage at diagnosis, and socioeconomic status with survival rates. Age-standardized mortality rates were assessed. Results: Among 6593 patients with HNCs (4590 males [69.6%]; 4187 patients aged 51-75 years [63.5%]), there were 706 Maori individuals (10.7%) and 5887 individuals with other ethnicity (89.3%), including 4327 NZ European individuals (65.6%; defined as New Zealanders of European descent). Maori individuals had a decreased survival proportion at all years after diagnosis compared with individuals with other ethnicity (eg, 66.1% [95% CI, 62.6%% to 69.8%] vs 71.2% [95% CI, 70.0% to 72.4%] at 2 years). At 1 year after diagnosis, Maori individuals did not have a significantly increased mortality rate compared with 5795 individuals with other ethnicity with data (193 deaths [27.3%] vs 1400 deaths [24.2%]; P = .06), but the rate was significantly increased at 5 years after diagnosis (277 deaths [39.3%] vs 2034 deaths [35.1%]; P = .03); there was greater disparity compared with NZ European individuals (1 year: 969 deaths [22.4%]; P = .003; 5 years: 1441 deaths [33.3%]; P = .002). There were persistent age-adjusted mortality rate disparities: 40.1% (95% CI, -25.9% to 71.2%) for Maori individuals and 18.8% (95% CI, -15.4% to 24.4%) for individuals with other ethnicity. Maori individuals were diagnosed at a mean age of 58.0 years (95% CI, 57.1-59.1 years) vs 64.3 years. (95% CI, 64.0-64.7 years) for individuals with other ethnicity, or 5 to 7 years younger, and died at mean age of 63.5 years (95% CI, 62.0-64.9 years) compared with 72.3 years (95% CI, 71.8-72.9 years) for individuals with other ethnicity, or 7 to 10 years earlier. Maori individuals presented with proportionally more advanced disease (only localized disease, 102 patients [14.5%; 95% CI, 12.0%-17.4%] vs 1413 patients [24.0%; 95% CI, 22.9%-25.1%]; P < .001) and showed an increase in regional lymph nodes (276 patients [39.1%; 95% CI, 35.5%-42.9%] vs 1796 patients [30.5%; 95% CI, 29.3%-31.8%]; P < .001) at diagnosis compared with individuals with other ethnicity. Socioeconomic status was not associated with survival. Conclusions and Relevance: This study found that Maori individuals experienced worse survival outcomes and greater mortality rates from HNC in NZ and presented with more advanced disease at a younger age. These findings suggest the need for further research to alleviate these disparities, highlight the importance of research into minority populations with HNC globally, and may encourage equity research for all cancers.

Racial and Ethnic Disparities in the Incidence of Anti-NMDA Receptor Encephalitis.

OBJECTIVES: To estimate the incidence of anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis. METHODS: We conducted a retrospective cohort study of >10 million person-years of observation from members of Kaiser Permanente Southern California, 2011-2022. The electronic health record of individuals with text-string mention of NMDA and encephalitis were reviewed to identify persons who met diagnostic criteria for anti-NMDAR encephalitis. Age-standardized and sex-standardized incidences stratified by race and ethnicity were estimated according to the 2020 US Census population. RESULTS: We identified 70 patients who met diagnostic criteria for anti-NMDAR encephalitis. The median age at onset was 23.7 years (IQR = 14.2-31.0 years), and 45 (64%) were female patients. The age-standardized and sex-standardized incidence of anti-NMDAR encephalitis per 1 million person-years was significantly higher in Black (2.94, 95% CI 1.27-4.61), Hispanic (2.17, 95% CI 1.51-2.83), and Asian/Pacific Island persons (2.02, 95% CI 0.77-3.28) compared with White persons (0.40, 95% CI 0.08-0.72). Ovarian teratomas were found in 58.3% of Black female individuals and 10%-28.6% in other groups. DISCUSSION: Anti-NMDA receptor encephalitis disproportionately affected Black, Hispanic, or Asian/Pacific Island persons. Ovarian teratomas were a particularly common trigger in Black female individuals. Future research should seek to identify environmental and biological risk factors that disproportionately affect minoritized individuals residing in the United States.

The Extent, Range, and Nature of Quantitative Nutrition Research Engaging with Intersectional Inequalities: A Systematic Scoping Review.

Addressing malnutrition for all requires understanding inequalities in nutrition outcomes and how they intersect. Intersectionality is increasingly used as a theoretical tool for understanding how social characteristics intersect to shape inequalities in health outcomes. However, little is known about the extent, range, and nature of quantitative nutrition research engaging with intersectional inequalities. This systematic scoping review aimed to address this gap. Between 15 May 2021 and 15 May 2022, we searched 8 databases. Studies eligible for inclusion used any quantitative research methodology and aimed to investigate how social characteristics intersect to influence nutrition outcomes. In total, 55 studies were included, with 85% published since 2015. Studies spanned populations in 14 countries but were concentrated in the United States (n = 35) and India (n = 7), with just 1 in a low-income country (Mozambique). Race or ethnicity and gender were most commonly intersected (n = 20), and body mass index and overweight and/or obesity were the most common outcomes. No studies investigated indicators of infant and young child feeding or micronutrient status. Study designs were mostly cross-sectional (80%); no mixed-method or interventional research was identified. Regression with interaction terms was the most prevalent method (n = 26); 2 of 15 studies using nonlinear models took extra steps to assess interaction on the additive scale, as recommended for understanding intersectionality and assessing public health impacts. Nine studies investigated mechanisms that may explain why intersectional inequalities in nutrition outcomes exist, but intervention-relevant interpretations were mostly limited. We conclude that quantitative nutrition research engaging with intersectionality is gaining traction but is mostly limited to the United States and India. Future research must consider the intersectionality of a wider spectrum of public health nutrition challenges across diverse settings and use more robust and mixed-method research to identify specific interventions for addressing intersectional inequalities in nutrition outcomes. Data systems in nutrition must improve to facilitate this. This review was registered in PROSPERO as CRD42021253339.

COVID-19 Hospitalization in Hawai'i and Patterns of Insurance Coverage, Race and Ethnicity, and Vaccination.

Importance: The people of Hawai'i have both high rates of health insurance and high levels of racial and ethnic diversity, but the degree to which insurance status and race and ethnicity contribute to health outcomes in COVID-19 remains unknown. Objective: To evaluate the associations of insurance coverage, race and ethnicity (using disaggregated race and ethnicity data), and vaccination with outcomes for COVID-19 hospitalization. Design, Setting, and Participants: This retrospective cohort study included hospitalized patients at a tertiary care medical center between March 2020 and March 2022. All patients hospitalized for acute COVID-19, identified based on diagnosis code or positive results on polymerase chain reaction-based assay for SARS-CoV-2, were included in analysis. Data were analyzed from May 2022 to May 2023. Exposure: COVID-19 requiring hospitalization. Main Outcome and Measures: Electronic medical record data were collected for all patients. Associations among race and ethnicity, insurance coverage, receipt of at least 1 COVID-19 vaccine, intensive care unit (ICU) transfer, in-hospital mortality, and COVID-19 variant wave (pre-Delta vs Delta and Omicron) were assessed using adjusted multivariable logistic regression. Results: A total of 1176 patients (median [IQR] age of 58 [41-71] years; 630 [54%] male) were hospitalized with COVID-19, with a median (IQR) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 30 (25-36) and Sequential Organ Failure Assessment score of 1 (0-2). The sample included 16 American Indian or Alaska Native patients, 439 Asian (not otherwise specified) patients, 15 Black patients, 66 Chinese patients, 246 Filipino patients, 76 Hispanic patients, 107 Japanese patients, 10 Korean patients, 299 Native Hawaiian patients, 523 Pacific Islander (not otherwise specified) patients, 156 Samoan patients, 5 Vietnamese patients, and 311 White patients (patients were able to identify as >1 race or ethnicity). When adjusting for age, BMI, sex, medical comorbidities, and socioeconomic neighborhood status, there were no differences in either ICU transfer (eg, Medicare vs commercial insurance: odds ratio [OR], 0.84; 95% CI, 0.43-1.64) or in-hospital mortality (eg, Medicare vs commercial insurance: OR, 0.85; 95% CI, 0.36-2.03) as a function of insurance type. Disaggregation of race and ethnicity revealed that Filipino patients were more likely to die in the hospital (OR, 1.79; 95% CI, 1.04-3.03; P = .03). When considering variant waves, mortality among Filipino patients was highest during the pre-Delta time period (OR, 2.72; 95% CI, 1.02-7.14; P = .04), when mortality among Japanese patients was lowest (OR, 0.19; 95% CI, 0.03-0.78; P = .04); mortality among Native Hawaiian patients was lowest during the Delta and Omicron period (OR, 0.35; 95% CI, 0.13-0.79; P = .02). Patients with Medicare, compared with those with commercial insurance, were more likely to have received at least 1 COVID-19 vaccine (OR, 1.85; 95% CI, 1.07-3.21; P = .03), but all patients, regardless of insurance type, who received at least 1 COVID-19 vaccine had reduced ICU admission (OR, 0.40; 95% CI, 0.21-0.70; P = .002) and in-hospital mortality (OR, 0.42; 95% CI, 0.21-0.79; P = .01). Conclusions and Relevance: In this cohort study of hospitalized patients with COVID-19, those with government-funded insurance coverage (Medicare or Medicaid) had similar outcomes compared with patients with commercial insurance, regardless of race or ethnicity. Disaggregation of race and ethnicity analysis revealed substantial outcome disparities and suggests opportunities for further study of the drivers underlying such disparities. Additionally, these findings illustrate that vaccination remains a critical tool to protect patients from COVID-19 mortality.

Differences in Cardiovascular Health at the Intersection of Race, Ethnicity, and Sexual Identity.

Importance: An understanding of the intersectional effect of sexual identity, race, and ethnicity on disparities in cardiovascular health (CVH) has been limited. Objective: To evaluate differences in CVH at the intersection of race, ethnicity, and sexual identity using the American Heart Association's Life's Essential 8 measure. Design, Setting, and Participants: This cross-sectional study was conducted from July 27 to September 6, 2023, using National Health and Nutrition Examination Survey data from 2007 to 2016. Participants were noninstitutionalized, nonpregnant adults (aged 18-59 years) without cardiovascular disease or stroke. Exposures: Self-reported sexual identity, categorized as heterosexual or sexual minority (SM; lesbian, gay, bisexual, or "something else"), and self-reported race and ethnicity, categorized as non-Hispanic Black (hereafter, Black), Hispanic, non-Hispanic White (hereafter, White), and other (Asian, multiracial, or any other race and ethnicity). Main Outcome and Measures: The primary outcome was overall CVH score, which is the unweighted mean of 8 CVH metrics, assessed from questionnaire, dietary, and physical examination data. Regression models stratified by sex, race, and ethnicity were developed for the overall CVH score and individual CVH metrics, adjusting for age, survey year, and socioeconomic status (SES) factors. Results: The sample included 12 180 adults (mean [SD] age, 39.6 [11.7] years; 6147 [50.5%] male, 2464 [20.2%] Black, 3288 [27.0%] Hispanic, 5122 [42.1%] White, and 1306 [10.7%] other race and ethnicity). After adjusting for age, survey year, and SES, Black (ß, -3.2; 95% CI, -5.8 to -0.6), Hispanic (ß, -5.9; 95% CI, -10.3 to -1.5), and White (ß, -3.3; 95% CI, -6.2 to -0.4) SM female adults had lower overall CVH scores compared with their heterosexual counterparts. There were no statistically significant differences for female adults of other race and ethnicity (ß, -2.8; 95% CI, -9.3 to 3.7) and for SM male adults of any race and ethnicity compared with their heterosexual counterparts (Black: ß, 2.2 [95% CI, -1.2 to 5.7]; Hispanic: ß, -0.9 [95% CI, -6.3 to 4.6]; White: ß, 1.5 [95% CI, -2.2 to 5.2]; other race and ethnicity: ß, -2.2 [95% CI, -8.2 to 3.8]). Conclusions and Relevance: In this cross-sectional study, CVH differed across race and ethnicity categories in SM females, suggesting that different communities within the larger SM population require tailored interventions to improve CVH. Longitudinal studies are needed to identify the causes of CVH disparities, particularly in Black and Hispanic SM females and inclusive of other racial and ethnic identities.

Identifying barriers to outpatient appointment attendance in patient groups at risk of inequity: a mixed methods study in a London NHS trust.

BACKGROUND: There is significant health inequity in the United Kingdom (U.K.), with different populations facing challenges accessing health services, which can impact health outcomes. At one London National Health Service (NHS) Trust, data showed that patients from deprived areas and minority ethnic groups had a higher likelihood of missing their first outpatient appointment. This study's objectives were to understand barriers to specific patient populations attending first outpatient appointments, explore systemic factors and assess appointment awareness. METHODS: Five high-volume specialties identified as having inequitable access based on ethnicity and deprivation were selected as the study setting. Mixed methods were employed to understand barriers to outpatient attendance, including qualitative semi-structured interviews with patients and staff, observations of staff workflows and interrogation of quantitative data on appointment communication. To identify barriers, semi-structured interviews were conducted with patients who missed their appointment and were from a minority ethnic group or deprived area. Staff interviews and observations were carried out to further understand attendance barriers. Patient interview data were analysed using inductive thematic analysis to create a thematic framework and triangulated with staff data. Subthemes were mapped onto a behavioural science framework highlighting behaviours that could be targeted. Quantitative data from patient interviews were analysed to assess appointment awareness and communication. RESULTS: Twenty-six patients and 11 staff were interviewed, with four staff observed. Seven themes were identified as barriers - communication factors, communication methods, healthcare system, system errors, transport, appointment, and personal factors. Knowledge about appointments was an important identified behaviour, supported by eight out of 26 patients answering that they were unaware of their missed appointment. Environmental context and resources were other strongly represented behavioural factors, highlighting systemic barriers that prevent attendance. CONCLUSION: This study showed the barriers preventing patients from minority ethnic groups or living in deprived areas from attending their outpatient appointment. These barriers included communication factors, communication methods, healthcare the system, system errors, transport, appointment, and personal factors. Healthcare services should acknowledge this and work with public members from these communities to co-design solutions supporting attendance. Our work provides a basis for future intervention design, informed by behavioural science and community involvement.