The Urban Environment and Cardiometabolic Health.

Urban environments contribute substantially to the rising burden of cardiometabolic diseases worldwide. Cities are complex adaptive systems that continually exchange resources, shaping exposures relevant to human health such as air pollution, noise, and chemical exposures. In addition, urban infrastructure and provisioning systems influence multiple domains of health risk, including behaviors, psychological stress, pollution, and nutrition through various pathways (eg, physical inactivity, air pollution, noise, heat stress, food systems, the availability of green space, and contaminant exposures). Beyond cardiometabolic health, city design may also affect climate change through energy and material consumption that share many of the same drivers with cardiometabolic diseases. Integrated spatial planning focusing on developing sustainable compact cities could simultaneously create heart-healthy and environmentally healthy city designs. This article reviews current evidence on the associations between the urban exposome (totality of exposures a person experiences, including environmental, occupational, lifestyle, social, and psychological factors) and cardiometabolic diseases within a systems science framework, and examines urban planning principles (eg, connectivity, density, diversity of land use, destination accessibility, and distance to transit). We highlight critical knowledge gaps regarding built-environment feature thresholds for optimizing cardiometabolic health outcomes. Last, we discuss emerging models and metrics to align urban development with the dual goals of mitigating cardiometabolic diseases while reducing climate change through cross-sector collaboration, governance, and community engagement. This review demonstrates that cities represent crucial settings for implementing policies and interventions to simultaneously tackle the global epidemics of cardiovascular disease and climate change.

The Role of Neighborhood Air Pollution in Disparate Racial and Ethnic Asthma Acute Care Use.

Rationale: The share of Black or Latinx residents in a census tract remains associated with asthma-related emergency department (ED) visit rates after controlling for socioeconomic factors. The extent to which evident disparities relate to the within-city heterogeneity of long-term air pollution exposure remains unclear. Objectives: To investigate the role of intraurban spatial variability of air pollution in asthma acute care use disparity. Methods: An administrative database was used to define census tract population-based incidence rates of asthma-related ED visits. We estimate the associations between census tract incidence rates and 1) average fine and coarse particulate matter, nitrogen dioxide (NO2), and sulfur dioxide (SO2), and 2) racial and ethnic composition using generalized linear models controlling for socioeconomic and housing covariates. We also examine for the attenuation of incidence risk ratios (IRRs) associated with race/ethnicity when controlling for air pollution exposure. Measurements and Main Results: Fine and coarse particulate matter and SO2 are all associated with census tract-level incidence rates of asthma-related ED visits, and multipollutant models show evidence of independent risk associated with coarse particulate matter and SO2. The association between census tract incidence rate and Black resident share (IRR, 1.51 [credible interval (CI), 1.48-1.54]) is attenuated by 24% when accounting for air pollution (IRR, 1.39 [CI, 1.35-1.42]), and the association with Latinx resident share (IRR, 1.11 [CI, 1.09-1.13]) is attenuated by 32% (IRR, 1.08 [CI, 1.06-1.10]). Conclusions: Neighborhood-level rates of asthma acute care use are associated with local air pollution. Controlling for air pollution attenuates associations with census tract racial/ethnic composition, suggesting that intracity variability in air pollution could contribute to neighborhood-to-neighborhood asthma morbidity disparities.

Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population.

BACKGROUND: Generalizability of predictive models for pathological complete response (pCR) and overall survival (OS) in breast cancer patients requires diverse datasets. This study employed four machine learning models to predict pCR and OS up to 7.5 years using data from a diverse and underserved inner-city population. METHODS: Demographics, staging, tumor subtypes, income, insurance status, and data from radiology reports were obtained from 475 breast cancer patients on neoadjuvant chemotherapy in an inner-city health system (01/01/2012 to 12/31/2021). Logistic regression, Neural Network, Random Forest, and Gradient Boosted Regression models were used to predict outcomes (pCR and OS) with fivefold cross validation. RESULTS: pCR was not associated with age, race, ethnicity, tumor staging, Nottingham grade, income, and insurance status (p > 0.05). ER-/HER2+ showed the highest pCR rate, followed by triple negative, ER+/HER2+, and ER+/HER2- (all p < 0.05), tumor size (p < 0.003) and background parenchymal enhancement (BPE) (p < 0.01). Machine learning models ranked ER+/HER2-, ER-/HER2+, tumor size, and BPE as top predictors of pCR (AUC = 0.74-0.76). OS was associated with race, pCR status, tumor subtype, and insurance status (p < 0.05), but not ethnicity and incomes (p > 0.05). Machine learning models ranked tumor stage, pCR, nodal stage, and triple-negative subtype as top predictors of OS (AUC = 0.83-0.85). When grouping race and ethnicity by tumor subtypes, neither OS nor pCR were different due to race and ethnicity for each tumor subtype (p > 0.05). CONCLUSION: Tumor subtypes and imaging characteristics were top predictors of pCR in our inner-city population. Insurance status, race, tumor subtypes and pCR were associated with OS. Machine learning models accurately predicted pCR and OS.

Socioeconomic disadvantage and racial/ethnic disparities in low-risk cesarean birth in California.

Our objective was to assess the relationship of socioeconomic disadvantage and race/ethnicity with low-risk cesarean birth. We examined birth certificates (2007-18) linked with maternal hospitalization data from California; the outcome was cesarean birth among low-risk deliveries (i.e., nulliparous, term, singleton, vertex [NTSV]). We used GEE Poisson regression with an interaction term for race/ethnicity (7 groups) and a measure of socioeconomic disadvantage (census tract-level neighborhood deprivation index [NDI], education, or insurance). Among 1,815,933 NTSV births, 26.6% were cesarean. When assessing the joint effect of race/ethnicity and socioeconomic disadvantage among low-risk births, risk of cesarean birth increased with socioeconomic disadvantage for most racial/ethnic groups, and disadvantaged Black individuals had the highest risks; e.g., Black individuals with a high school education or less had a risk ratio of 1.49 (95% CI 1.45-1.53), relative to White individuals with a college degree. The disparity in risk of cesarean birth between Black and White individuals was observed across all strata of socioeconomic disadvantage. Asian American and Hispanic individuals had higher risks than White individuals at lower socioeconomic disadvantage; this disparity was not observed at higher levels of disadvantage. Black individuals have a persistent, elevated risk of cesarean birth, relative to White individuals, regardless of socioeconomic disadvantage.

Invited Commentary: Is the Polysocial Score Approach Valuable for Advancing Social Determinants of Health Research?

Social determinants of health (SDOH) encompass the social environmental factors and lived experiences that collectively shape an individual's health. Recently, the polysocial score approach has been introduced as an innovative method for capturing the cumulative impact of a broad spectrum of social factors. This approach offers a promising opportunity to complement and enhance conventional methodologies in the advancement of SDOH research. In this issue of the Journal, Jawadekar et al. (Am J Epidemiol. XXXX;XXX(XX):XX-X-XXXX) evaluated the value of the polysocial score for predicting cognitive performance and mortality among middle-aged and older adults. Models built on a smaller set of social determinants, including race, gender, and education, performed comparably to the polysocial score models where a more complex set of social factors were included. In this invited commentary, I welcome the evaluation of the predictive ability of the polysocial score and the discussion of its merits and limitations. I also summarize the practical utility of the polysocial score in predicting health outcomes and its mechanistic significance in unveiling the relationship between genetics, social environment, and lifestyles in shaping an individual's health and elucidate health disparities. Lastly, I propose several avenues for future research.

Disparities for Hispanic Adults With Metabolic Dysfunction-associated Steatotic Liver Disease in the United States: A Systematic Review and Meta-analysis.

BACKGROUND & AIMS: Prevalence and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) is reported to be higher in Hispanic adults in the United States (U.S.), although rates vary substantially across studies and have increased given the evolving obesity epidemic. This systematic review and meta-analysis quantifies MASLD disease burden and severity in contemporary cohorts to characterize health disparities experienced by adult Hispanic individuals in the U.S. METHODS: We searched the MEDLINE, Embase, and Cochrane databases per the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Studies from 2010 to December 2023 were included to capture data representative of current populations given the obesity epidemic. Studies from overlapping cohorts were excluded. Meta-analyses were conducted using random-effects models to estimate pooled prevalence and relative risk (RR) with 95% confidence intervals (CIs). RESULTS: We identified 22 studies, comprising 756,088 subjects, of which 62,072 were Hispanic. The pooled prevalence in U.S. Hispanic adults was 41% (95% CI, 30%-52%) for MASLD, 61% (95% CI, 39%-82%) for metabolic dysfunction-associated steatohepatitis (MASH), 27% (95% CI, 15%-39%) for MASH-associated advanced fibrosis (AF), and 5% (95% CI, 1%-8%) for MASH cirrhosis. Compared with non-Hispanic adults, Hispanic adults had a RR of 1.50 (95% CI, 1.32-1.69) for MASLD, 1.42 (95% CI, 1.04-1.93) for MASH, 1.37 (95% CI, 0.96-1.96) for MASH-associated AF, and 0.93 (95% CI, 0.49-1.77) for MASH cirrhosis. CONCLUSION: Health disparities for U.S. Hispanic adults continue to worsen with significantly higher relative risk of MASLD and MASH compared with non-Hispanic adults. Public health efforts to optimize screening and care delivery for the adult Hispanic population are urgently needed.

Persistent cervical cancer disparities among American Indian/Alaska Native women: a systematic scoping review exploring the state of the science in this population.

PURPOSE: American Indian/Alaska Native (AI/AN) populations experience significantly higher incidence and mortality rates of cervical cancer. The objective of this systematic scoping review is to characterize the volume and nature of research being conducted specific to the AI/AN population regarding cervical cancer and related clinical themes. METHODS: This scoping review was conducted in collaboration with the Pacific Northwest Evidence-based Practice Center. Search strategies identified eligible publications from 1990 through 4 February 2022. Two reviewers independently abstracted study data, including clinical area, number of participants and percent inclusion of AI/AN, intervention or risk factor, outcomes reported, Indian Health Service (IHS) Region, and funding source. We used published algorithms to assess study design. RESULTS: Database searches identified 300 unique citations. After full-text evaluation of 129 articles, 78 studies and 9 secondary publications were included (total of 87). Approximately 74% of studies were observational in design, with cross-sectional methodology accounting for 42.7% of all included studies. The most common clinical theme was cervical cancer screening. The most common intervention/exposure was risk factor, typically race (AI/AN compared with other groups) (69%). For studies with documented funding sources, 67% were funded by the US Government. CONCLUSION: Of the small number of publications identified, the majority are funded through government agencies, are descriptive and/or cross-sectional studies that are hypothesis generating in nature, and fail to represent the diversity of the AI/AN populations in the US. This systematic scoping review highlights the paucity of rigorous research being conducted in a population suffering from a greater burden of disease.

'Humility, Concern, Respect': A Qualitative Study Exploring Parent Perspectives on a Pediatrician's Role in Addressing Racism.

OBJECTIVE: To explore racially minoritized families' perceptions on how, and if, physicians should address children's racial identity and concepts of racism within clinical settings. STUDY DESIGN: Parents of racially minoritized children, ages 5 through 18, were interviewed to explore experiences with racial identity formation, discrimination, and the extent to which they wanted pediatricians to address these topics. Children were included at the discretion of their parents. Interviews were transcribed, coded, and analyzed through a critical race theory lens based in constructivist grounded theory. RESULTS: Parents encouraged their children to embrace their racial identities but also wanted to shield them from negative experiences of racism to preserve identity safety. Parents felt pediatricians should address racial issues in a manner specific to their child's situation. Thoughtful inclusion of race-related questions, whether in discussion or on questionnaires, is essential to prevent tension in a therapeutic relationship. There was no consensus on the use of preclinical screening. Instead, families highlighted the importance of embracing humility, trust, and respect. CONCLUSIONS: Participant families have preferences for approaches to address the effects of racism on their children's health. Pediatricians should understand the importance of identity safety and approach their discussions with cultural humility, which includes self-reflection, empathy, active listening, and flexible negotiation. Above all, pediatricians need to create a safe environment for appropriate discussion of these issues.

Association of Family Member Incarceration During Childhood and Smoking and Unhealthy Drinking Behaviors, Access to Care, and Functional Status Among Adults in the United States.

IMPORTANCE: Incarceration can result in adverse socioeconomic and health consequences for individuals who have been incarcerated; these consequences extend to their children and may have impacts into later adulthood. OBJECTIVE: To examine the association of family member incarceration (FMI) during childhood and smoking and unhealthy drinking behaviors, access to care, and functional status in later adulthood. DESIGN AND PARTICIPANTS: Adults aged 18-64 and ≥ 65 with and without FMI during childhood from 42 states and Washington DC from the 2019-2022 Behavioral Risk Factor Surveillance System. MAIN MEASURES: Having FMI history was defined as "living with anyone during childhood who served time or was sentenced to serve time in a prison, jail, or other correctional facility." Study outcomes included 1) smoking and unhealthy drinking behaviors, 2) access to care (health insurance coverage, care affordability, having a usual source of care, and use of preventive services), and 3) functional status (e.g., having difficulty walking or climbing stairs). KEY RESULTS: After adjusting for demographic characteristics and other adverse childhood experiences, compared to adults without FMI, adults aged 18-64 with FMI were more likely to report any history of smoking or unhealthy drinking (adjusted odds ratio (AOR): 1.19, 95% confidence interval (CI): 1.11-1.28), any access to care problems (AOR: 1.26, 95% CI: 1.12-1.42), and any functional limitations (AOR: 1.18, 95% CI: 1.10-1.28); adults aged ≥ 65 with FMI reported higher likelihood of reporting any smoking or unhealthy drinking behaviors (AOR: 1.23, 95% CI: 1.05-1.43) and impaired functional status (AOR: 1.30, 95% CI: 1.10-1.54). Associations were attenuated after additional adjustment for socioeconomic measures, especially educational attainment, but remained statically significant for multiple outcomes. CONCLUSIONS: FMI during childhood was associated with adverse health-related outcomes for adults of all ages. Developing programs to improve access to education and economic opportunities for adults with FMI may help mitigate the disparities.

Food Insecurity, Race and Ethnicity, and Cognitive Function Among United States Older Adults.

BACKGROUND: Cognitive impairment and dementia are severe public health issues in aging populations, which can be exacerbated by insufficient or unhealthy dietary intake. Food (in)security status is linked to cognitive function among older adults, but the relationship is complex and can vary by sociodemographic characteristics. OBJECTIVE: This article aimed to investigate the association between food insecurity and cognitive function among United States older adults and explore potential variations by race and ethnicity groups. METHODS: We prospectively examined changes in cognitive function and incidence of cognitive impairment alongside the presence of self-reported food insecurity among older adults of different racial and ethnic groups. Data were from the 2012-2018 Health and Retirement Study (HRS) and the 2013 Health Care and Nutrition Study (HCNS), including N = 6,638 United States adults aged 50 years and older. Food insecurity was measured by a self-reported United States Household Food Security Survey Module, and cognitive function was assessed by the modified version of the Telephone Interview for Cognitive Status. RESULTS: Results showed that 17% of United States older adults reported food insecurity in the 2013 HCNS. Compared with food secure older adults, those reporting food insecurity experienced worsened cognitive functioning over time (B = -0.63, p < .001), and they were more likely to have onset of cognitive impairment (OR= 1.46, p < .001) in the 6-y observation. Compared with non-Hispanic White older adults, being non-Hispanic Black, non-Hispanic Other, or Hispanic was associated with 2.96, 2.09, or 1.26 odds (p < .001) of cognitive impairment (2012-2018), respectively. Older adults of racial and ethnic minority groups also had higher risks of experiencing the double burden of cognitive impairment alongside food insecurity compared with non-Hispanic White older adults. CONCLUSION: Findings underscore racial and ethnic structural disparities in food security and cognitive health in the United States aging population.

Investigating MRI-Associated Biological Aspects of Racial Disparities in Prostate Cancer for African American and White Men.

BACKGROUND: Understanding the characteristics of multiparametric MRI (mpMRI) in patients from different racial/ethnic backgrounds is important for reducing the observed gaps in clinical outcomes. PURPOSE: To investigate the diagnostic performance of mpMRI and quantitative MRI parameters of prostate cancer (PCa) in African American (AA) and matched White (W) men. STUDY TYPE: Retrospective. SUBJECTS: One hundred twenty-nine patients (43 AA, 86 W) with histologically proven PCa who underwent mpMRI before radical prostatectomy. FIELD STRENGTH/SEQUENCE: 3.0 T, T2-weighted turbo spin echo imaging, a single-shot spin-echo EPI sequence diffusion-weighted imaging, and a gradient echo sequence dynamic contrast-enhanced MRI with an ultrafast 3D spoiled gradient-echo sequence. ASSESSMENT: The diagnostic performance of mpMRI in AA and W men was assessed using detection rates (DRs) and positive predictive values (PPVs) in zones defined by the PI-RADS v2.1 prostate sector map. Quantitative MRI parameters, including Ktrans and ve of clinically significant (cs) PCa (Gleason score ≥ 7) tumors were compared between AA and W sub-cohorts after matching age, prostate-specific antigen (PSA), and prostate volume. STATISTICAL TESTS: Weighted Pearson's chi-square and Mann-Whitney U tests with a statistically significant level of 0.05 were used to examine differences in DR and PPV and to compare parameters between AA and matched W men, respectively. RESULTS: A total number of 264 PCa lesions were identified in the study cohort. The PPVs in the peripheral zone (PZ) and posterior prostate of mpMRI for csPCa lesions were significantly higher in AA men than in matched W men (87.8% vs. 68.1% in PZ, and 89.3% vs. 69.6% in posterior prostate). The Ktrans of index csPCa lesions in AA men was significantly higher than in W men (0.25 ± 0.12 vs. 0.20 ± 0.08 min-1; P < 0.01). DATA CONCLUSION: This study demonstrated race-related differences in the diagnostic performances and quantitative MRI measures of csPCa that were not reflected in age, PSA, and prostate volume. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Social determinants of health in uterine carcinosarcoma.

OBJECTIVE: UCS survival outcome disparities by race have been reported. We aimed to investigate social determinants of health (SDOH) and their relation to survival outcomes in women at two affiliated high-volume institutions serving a racially and economically diverse population. METHODS: Women diagnosed with stage I-IV UCS treated at St. Paul University Hospital, University of Texas Southwestern (UTSW) Zale Lipshy Pavilion-William P. Clements Jr. University Hospital, and Parkland Memorial Hospital between 1992 and 2022 were eligible. Patients were identified by the local tumor registries; a retrospective study was conducted. The Pearson chi-square test was utilized for categorical variables. OS and PFS were calculated using Kaplan-Meier estimates and compared with the log-rank test. Multivariate Cox models were used to identify independent prognostic factors. All statistical analyses were performed using SAS, version 9.4. RESULTS: Over half of the 218 patients with UCS were NHB. 35% of the patients had stage IV disease. Most HSP and NHB patients had a lower median household income* than Asian/Pacific Islander (API) or NHW (p < 0.001). Stage at diagnosis significantly affected OS (p < 0.001) but not PFS (p = 0.46) in univariate analyses. Accounting for age at diagnosis, insurance, income*, hospital, distance between hospital and home, months from diagnosis to first treatment, stage, and adjuvant therapy, race was significant for OS (p = 0.03) and PFS (p = 0.04). *Median household income by ZIP Code. CONCLUSIONS: Racial disparities were seen in median household income. Most SDOH independently analyzed in this study did not affect OS. The complex interaction between race and stage in UCS survival outcomes needs further investigation.

The effects of Asian American Pacific Islander (AAPI) data inequities in gynecologic oncology.

Asian American and Pacific Islanders (AAPI) are the fastest growing racial group in the United States. Data on AAPI communities, however, are significantly limited. The oversimplification and underreporting of this ethnically and socioeconomically heterogenous population through the use of aggregated data has deleterious effects and worsens disparities in patient treatment, outcomes, and experiences. Gynecologic oncology disparities do not exist in a vacuum, and are rooted in larger cultural gaps in our understanding and delivery of healthcare. In this paper, we aim to demonstrate how AAPI data inequities have negative downstream effects on research and public health policies and initiatives, and also provide a call to action with specific recommendations on how to improve AAPI data equity within these realms.

Altered extracellular matrix-related pathways accelerate the transition from normal to prefibroid myometrium in Black women.

BACKGROUND: Black women experience a disproportionate impact of uterine fibroids compared to White women, including earlier diagnosis, higher frequency, and more severe symptoms. The etiology underlying this racial disparity remains elusive. OBJECTIVE: The aim of this study was to evaluate the molecular differences in normal myometrium (fibroid-free uteri) and at-risk myometrium (fibroid-containing uteri) tissues in Black and White women. STUDY DESIGN: We conducted whole-genome RNA-seq on normal and at-risk myometrium tissues obtained from both self-identified Black and White women (not Hispanic or Latino) to determine global gene expression profiles and to conduct enriched pathway analyses (n=3 per group). We initially assessed the differences within the same type of tissue (normal or at-risk myometrium) between races. Subsequently, we analyzed the transcriptome of normal myometrium compared to at-risk myometrium in each race and determined the differences between them. We validated our findings through real-time PCR (sample size range=5-12), western blot (sample size range=5-6), and immunohistochemistry techniques (sample size range=9-16). RESULTS: The transcriptomic analysis revealed distinct profiles between Black and White women in normal and at-risk myometrium tissues. Interestingly, genes and pathways related to extracellular matrix and mechanosensing were more enriched in normal myometrium from Black than White women. Transcription factor enrichment analysis detected greater activity of the serum response transcription factor positional motif in normal myometrium from Black compared to White women. Furthermore, we observed increased expression levels of myocardin-related transcription factor-serum response factor and the serum response factor in the same comparison. In addition, we noted increased expression of both mRNA and protein levels of vinculin, a target gene of the serum response factor, in normal myometrium tissues from Black women as compared to White women. Importantly, the transcriptomic profile of normal to at-risk myometrium conversion differs between Black and White women. Specifically, we observed that extracellular matrix-related pathways are involved in the transition from normal to at-risk myometrium and that these processes are exacerbated in Black women. We found increased levels of Tenascin C, type I collagen alpha 1 chain, fibronectin, and phospho-p38 MAPK (Thr180/Tyr182, active) protein levels in at-risk over normal myometrium tissues from Black women, whereas such differences were not observed in samples from White women. CONCLUSION: These findings indicate that the racial disparities in uterine fibroids may be attributed to heightened production of extracellular matrix in the myometrium in Black women, even before the tumors appear. Future research is needed to understand early life determinants of the observed racial differences.

Racial differences in knowledge, attitudes, and sources of information about germline cancer genetic testing in the U.S.A.: An analysis of the health information National Trends Survey System.

PURPOSE: To understand racial disparities in germline cancer genetic testing and the role of prior knowledge, attitudes, and sources of information. METHODS: A cross-sectional analysis of the Health Information National Trends Survey 5 (HINTS 5) was conducted between February 24th and June 15th, 2020. The study aimed to investigate knowledge and receipt of genetic testing, attitudes toward the importance of genetic testing in preventing, detecting, and treating cancer, and information sources of genetic testing in the United States of America. RESULTS: Non-Hispanic Black (NHB) and Hispanic race/ethnicity were associated with lower odds of being informed about genetic testing, whereas those of NHB race were more likely to endorse the importance of genetic testing in cancer prevention and treatment. Regarding sources of information about genetic testing: Non-Hispanic Asians were less likely to be informed about genetic testing from television (Mean Predicted Probability (MPP) 0.38 95%CI; 0.21-0.55, (Adjusted Risk Difference) ARD vs. Non-Hispanic White (NHW); -0.228, p = 0.01), NHB were less likely to report being informed about genetic testing from social media (MPP 0.27 95%CI; 0.20-0.34, ARD vs. NHW; -0.139, p < 0.01). CONCLUSIONS: NHB and Hispanic groups face unequal access to information about genetic testing. There are significant race-based differences in information sources. These differences could be used to promote equitable access to cancer genetic testing.

Sexually transmitted infection testing and diagnosis in adolescents and young adults with sickle cell disease.

BACKGROUND: Sexually transmitted infections (STIs) are common and disproportionately affect Black adolescents and young adults (AYAs). Less is known about STIs among Black AYAs with chronic conditions, such as sickle cell disease (AYAs-SCD). This study compared STI testing and diagnosis between AYAs-SCD and their peers, overall and among STI-related encounters. PROCEDURE: This retrospective, cross-sectional study used diagnosis and billing codes in the Pediatric Health Information System (PHIS) to identify inpatient and emergency department encounters from January 1, 2022 to May 31, 2023 among all AYAs 15-24 years and those with STI-related diagnoses (e.g., "cystitis"). STI testing and diagnosis rates were compared between AYAs-SCD, non-Black AYAs, and Black AYAs, controlling for age, sex, and encounter setting. RESULTS: We identified 3602 AYAs-SCD, 177,783 Black AYAs, and 534,495 non-Black AYAs. AYAs-SCD were less likely to be tested for STIs than non-Black AYAs (odds ratio [OR] = 0.26; adj. p < .001) and Black AYAs (OR = 0.53; adj. p < .001). When tested, AYAs-SCD were more likely to be diagnosed with an STI than non-Black AYAs (OR = 2.39; adj. p = .006) and as likely as Black AYAs (OR = 0.67; adj. p = .15). Among STI-related encounters, AYAs-SCD were less likely to be tested than non-Black AYAs (OR = 0.18; adj. p < .001) and Black AYAs (OR = 0.44; adj. p < .001). No significant differences in STI diagnoses were found in this subset between AYAs-SCD and non-Black AYAs (OR = 0.32; adj. p = .28) or Black AYAs (OR = 1.07; adj. p = .99). CONCLUSIONS: STI care gaps may disproportionately affect AYAs-SCD. STIs should be considered when evaluating symptomatic AYAs-SCD in acute settings. More research is needed to further contextualize STI care for AYAs-SCD.

Ageism and lookism as stereotypes of health disparity in intensive care units in Iran: a critical ethnography.

BACKGROUND: The intensive care unit presents structural complexities, and the prevailing power imbalance between patients and staff can lead to health disparities. Hence, unveiling the underlying factors that give rise to and reinforce these disparities can contribute to their prevention. This study aims to shed light on the stereotypes linked to ageism and lookism, which perpetuate health disparities within the intensive care unit setting in Iran. METHODS: This critical ethnographic study employed Carsepkan's approach and was carried out in intensive care units in the west of Iran from 2022 to 2023. The data collection and analysis were conducted through three interconnected stages. In the initial stage, more than 300 h of observations were made at the research site. In the subsequent stage, a horizon analysis was performed. Conversations with 14 informants were conducted in the final stage to enrich the dataset further. Then the analysis process was carried out as in the previous step to uncover an implicit culture of health disparity. To verify the validity and reliability of the study, credibility, conformability, dependability, and transferability were all taken into account. FINDINGS: The ageism and lookism stereotypes emerged from seven main themes; youth-centric; negative ageism; age-friendliness; age-related priority; centered care for pediatric patients and families; appearance-centeredness; and a contradiction between belief and behavior. CONCLUSION: This critical study showed that ageism and lookism stereotypes permeated the intensive care unit's culture. These stereotypes have the potential to influence equality dynamics, as well as to foster and support health disparity in the intensive care unit.

Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models.

OBJECTIVE: Despite increased availability of methodologies to identify algorithmic bias, the operationalization of bias evaluation for healthcare predictive models is still limited. Therefore, this study proposes a process for bias evaluation through an empirical assessment of common hospital readmission models. The process includes selecting bias measures, interpretation, determining disparity impact and potential mitigations. METHODS: This retrospective analysis evaluated racial bias of four common models predicting 30-day unplanned readmission (i.e., LACE Index, HOSPITAL Score, and the CMS readmission measure applied as is and retrained). The models were assessed using 2.4 million adult inpatient discharges in Maryland from 2016 to 2019. Fairness metrics that are model-agnostic, easy to compute, and interpretable were implemented and apprised to select the most appropriate bias measures. The impact of changing model's risk thresholds on these measures was further assessed to guide the selection of optimal thresholds to control and mitigate bias. RESULTS: Four bias measures were selected for the predictive task: zero-one-loss difference, false negative rate (FNR) parity, false positive rate (FPR) parity, and generalized entropy index. Based on these measures, the HOSPITAL score and the retrained CMS measure demonstrated the lowest racial bias. White patients showed a higher FNR while Black patients resulted in a higher FPR and zero-one-loss. As the models' risk threshold changed, trade-offs between models' fairness and overall performance were observed, and the assessment showed all models' default thresholds were reasonable for balancing accuracy and bias. CONCLUSIONS: This study proposes an Applied Framework to Assess Fairness of Predictive Models (AFAFPM) and demonstrates the process using 30-day hospital readmission model as the example. It suggests the feasibility of applying algorithmic bias assessment to determine optimized risk thresholds so that predictive models can be used more equitably and accurately. It is evident that a combination of qualitative and quantitative methods and a multidisciplinary team are necessary to identify, understand and respond to algorithm bias in real-world healthcare settings. Users should also apply multiple bias measures to ensure a more comprehensive, tailored, and balanced view. The results of bias measures, however, must be interpreted with caution and consider the larger operational, clinical, and policy context.

Association of Race, Ethnicity, and Gender to Disparities in Functional Recovery and Social Health After Major Lower Limb Amputation: A Cross-sectional Pilot Study.

OBJECTIVE: To assess if evidence of disparities exists in functional recovery and social health post-lower limb amputation. DESIGN: Race-ethnicity, gender, and income-based group comparisons of functioning and social health in a convenience sample of lower limb prosthetic users. SETTING: Prosthetic clinics in 4 states. PARTICIPANTS: A geographically diverse cohort of 56 English and Spanish speaking community-dwelling individuals with dysvascular lower limb amputation, between 18-80 years old. INTERVENTIONS: None. MAIN OUTCOMES MEASURES: Primary outcomes included 2 physical performance measures, the Timed Up and Go test and 2-minute walk test, and thirdly, the Prosthetic Limb Users Survey of Mobility. The PROMIS Ability to Participate in Social Roles and Activities survey measured social health. RESULTS: Of the study participants, 45% identified as persons of color, and 39% were women (mean ± SD age, 61.6 (9.8) years). People identifying as non-Hispanic White men exhibited better physical performance than men of color, White women, and women of color by -7.86 (95% CI, -16.26 to 0.53, P=.07), -10.34 (95% CI, -19.23 to -1.45, P=.02), and -11.63 (95% CI, -21.61 to -1.66, P=.02) seconds, respectively, on the TUG, and by 22.6 (95% CI, -2.31 to 47.50, P=.09), 38.92 (95% CI, 12.53 to 65.30, P<.01), 47.53 (95% CI, 17.93 to 77.13, P<.01) meters, respectively, on the 2-minute walk test. Income level explained 14% and 11% of the variance in perceived mobility and social health measures, respectively. CONCLUSIONS: Study results suggest that sociodemographic factors of race-ethnicity, gender, and income level are associated with functioning and social health post-lower limb amputation. The clinical effect of this new knowledge lies in what it offers to health care practitioners who treat this patient population, in recognizing potential barriers to optimal recovery and quality of life. More work is required to assess lived experiences after amputation and provide better understanding of amputation-related health disparities.

A pilot study on the effectiveness of a language-specific (Chinese) pulmonary rehabilitation programme for individuals with chronic pulmonary disease: a 2-year prospective cohort study in Sydney, Australia.

BACKGROUND AND AIMS: Pulmonary rehabilitation (PR) improves dyspnoea, fatigue and healthcare-related quality of life (QoL) in patients with chronic lung disease (CLD). Non-English-speaking background (NESB) patients face language and cultural barriers that hinder their access to PR programmes, contributing to health disparities. Our trial aimed to demonstrate the effectiveness and feasibility of a Chinese language-specific PR programme on lung function, functional exercise capacity and QoL measures. METHODS: A prospective cohort study was conducted over a 2-year period. Participants were enrolled in an 8-week PR programme with biweekly sessions conducted by Chinese-speaking physiotherapists. Baseline and post-rehabilitation testing included pulmonary function testing, 6-min walk test (6MWT), St. George Respiratory Questionnaire (SGQR) and Short Form Health Survey (SF-36). RESULTS: We enrolled 76 patients (58% male) with a median age of 77 years (interquartile range (IQR) 68-81) and achieved a completion rate of 86.8% (n = 66). CLD included chronic obstructive pulmonary disease (42%), asthma (15%) and interstitial lung disease (3%). Baseline median forced expiratory volume in 1 s (FEV1) was 1.63 L (IQR 1.17-2.05), and the median 6MWT was 282 m (IQR 232-332). Post-intervention median 6MWT increased to 332 m (IQR 290-390), and the median FEV1 was 1.99 L (IQR 1.3-2.1). Both QoL measures (SGQR and SF-36) showed significant improvement after intervention (P < 0.05). CONCLUSION: Our study demonstrates that a language-specific PR programme is feasible, improving outcomes in NESB patients with CLD. The improvement in 6MWT and QoL measures was comparable to English-based programmes. Ensuring equal access to healthcare programmes, regardless of cultural background or language barriers, is crucial in promoting health equity.