Impact of Demographics and Insurance Coverage on Schizophrenia Treatment and Healthcare Resource Utilization Within an Integrated Healthcare System.

Purpose: Little is known about the impact of health disparities on antipsychotic treatment and healthcare resource utilization (HRU) among patients with schizophrenia. The objective of this analysis is to examine treatment patterns and HRU by age, race/ethnicity, and insurance coverage among patients with schizophrenia in an integrated delivery network (IDN). Patients and Methods: This cross-sectional study used electronic health record data from MedStar Health, an IDN in the Baltimore-Washington, DC, area. Patients were aged ≥18 years and had ≥2 outpatient encounters or ≥1 hospitalization with a diagnosis of schizophrenia between January 1, 2017 and March 31, 2021. Outcomes assessed included oral antipsychotic prescriptions, long-acting injectable antipsychotic (LAI) utilization, hospitalizations, emergency department (ED) visits, and outpatient visits. Analyses compared subgroups based on age, race/ethnicity (non-Hispanic Black, non-Hispanic White, and other), and type of insurance coverage at index (Medicare, Medicaid, and other) during 12 months of follow-up. Results: A total of 78.1% of patients had ≥1 prescription for an antipsychotic and 69.1% received ≥1 second-generation antipsychotic. Second-generation long-acting injectables (SGA LAI) were utilized by 9.0% of patients, with the elderly and Medicaid beneficiaries having the lowest SGA LAI utilization. Overall, 61.7% of patients had ≥1 hospitalization, 56.4% had ≥1 outpatient visit, and 50.5% had ≥1 ED visit. Hospitalizations and ED visits were most common in those 18 to 24 years of age and in Medicaid beneficiaries, whereas outpatient visits were more common for the elderly and Medicare beneficiaries. Conclusion: At the population level, the results indicate widespread underprescription/underutilization of antipsychotics that have been shown to improve clinical and economic outcomes in patients with schizophrenia, particularly SGA LAI. Within specific subpopulations, disparities in treatment selection and HRU were observed, suggesting the need for increased attention to at-risk groups to ensure consistent quality of care regardless of age, race/ethnicity, or insurance coverage.

Practice recommendations for culturally sensitive communication at the end of life in intensive care: A modified eDelphi study.

BACKGROUND: Clinicians need specific knowledge and skills to effectively communicate with patients and their family when a patient is dying in the ICU. End-of-life communication is compounded by language differences and diverse cultural and religious beliefs. AIM: The aim was to develop and evaluate practice recommendations for culturally sensitive communication at the end of life. METHOD: Modified two-round eDelphi study. An Australian national sample of 58 expert ICU clinicians of nursing and medical backgrounds participated in an online survey to rate the relevance of 13 practice recommendations. Ten clinicians participated in a subsequent expert panel interview to provide face validity and comprehensive details about the practical context of the recommendations. Survey data were analysed using descriptive statistics, interview data using deductive content analysis. RESULTS: All 13 practice recommendations achieved item content validity index (I-CVI) above 0.8, and scale content validity index (S-CVI) of 0.95, indicating sufficient consensus. Recommendations prioritising use of professional interpreters and nurse involvement in family meetings achieved near perfect agreement amongst participants. Recommendations to facilitate family in undertaking cultural, spiritual and religious rituals and customs, advocate for family participation in treatment limitation discussions, and clinician access to professional development opportunities about culturally sensitive communication also achieved high level consensus. CONCLUSION: These practice recommendations provide guidance for ICU clinicians in their communication with patients and families from culturally diverse backgrounds. IMPLICATIONS FOR CLINICAL PRACTICE: Clinicians want practice recommendations that are understandable and broadly applicable across diverse ICU contexts. The high consensus scores confirm these practice recommendations are relevant and feasible to clinicians who provide end-of-life care for patients and their family members. The recommendations also provide clear guidance for ICU leaders, managers and organisational policy makers.

Racial and Ethnic Survival Disparities in Pediatric Oncology Over Time: An Analysis of the SEER Registry.

BACKGROUND/PURPOSE: Studies have demonstrated existing racial and ethnic disparities in multiple aspects of pediatric oncology. The purpose of this study was to examine how racial and ethnic disparities in mortality among pediatric oncology patients have changed over time. We examined mortality by race and ethnicity over time within the Surveillance, Epidemiology, and End Results (SEER) registry. METHODS: Patients <20 years-old from 1975 to 2016 (n = 49,861) were selected for the analysis. Demographic characteristics, cancer diagnosis, and mortality data were extracted. Patients were divided by race and ethnicity: 1) non-Latino White, 2) Black, 3) Latino, and 4) Other Race. The interaction between race/ethnicity and decade was evaluated to better understand how disparities in mortality have changed over time. RESULTS: Unadjusted mortality among all cancers improved significantly, with 5-year mortality decreasing from the 1970s to the 2010s (log-rank: p < 0.001) for all race/ethnicity groups. However, improvements in mortality were not equal, with 5-year overall survival (OS) improving from 62.7 % in the 1970s to 87.5 % (Δ = 24.8 %) in the 2010s for White patients but only improving from 59.9 % to 80.8 % (Δ = 20.9 %) for Black patients (p < 0.01). The interaction between Race/Ethnicity and decade demonstrated that the Hazard Ratio (HR) for mortality worsened for Black [HR (95 % Confidence Interval): 1.10 (1.05-1.15) and Latino [1.11 (1.07-1.17)] patients compared to White, non-Latino patients. CONCLUSION: There has been a dramatic improvement in survival across pediatric oncology patients since 1975. However, the improvement has not been shared equally across racial/ethnic categories, with overall survival worsening over time for racial/ethnic minorities compared to White patients. LEVEL OF EVIDENCE: III.

A Descriptive, Post Hoc Analysis of Efficacy and Safety of Risankizumab in Diverse Racial and Ethnic Patient Populations With Moderate-to-Severe Psoriasis.

INTRODUCTION: Historically, patients with skin of color are underdiagnosed with psoriasis and underrepresented in clinical trials. In this study, we assess the efficacy and safety of risankizumab in patients with moderate-to-severe plaque psoriasis by race and ethnicity in the open label extension LIMMitless (NCT03047395). METHODS: Patients received continuous treatment with 150 mg risankizumab through their initial trial and the open label extension. Patients self-identified their race and ethnicity. Efficacy was assessed using Psoriasis Area Severity Index (PASI) and Dermatology Life Quality Index (DLQI). Safety is reported by events/100 patient-years. RESULTS: A total of 897 patients (race: 662 White, 196 Asian, 25 Black or African American, 14 Other; ethnicity: 98 Hispanic or Latino, 799 non-Hispanic or Latino) were included in this analysis. Compared to baseline, patients had a mean percent reduction in PASI between 94.6% (Asian) and 99.3% (Black or African American) and reported mean percent improvements in DLQI ranging from 87.1% (Asian and Black or African American) to 93.7% (Hispanic or Latino) at week 100. CONCLUSION: While the data presented here comprise a small retrospective descriptive analysis and cannot detect statistical differences, efficacy of risankizumab for the treatment of moderate-to-severe plaque psoriasis appears similar across the racial and ethnic groups studied and no new safety signals were detected.

Neurological Events Following COVID-19 Vaccination: Does Ethnicity Matter?

We conducted a retrospective cohort study in Ontario, Canada between December 1, 2020 and June 31, 2021 to compare the incidence of neurological events (hospitalization or emergency room visit) within six weeks of COVID-19 vaccination in Chinese, South Asian and Other ethnic groups. Compared to Others, the crude rates after the first dose for Bell's palsy, ischemic stroke and intracerebral hemorrhage were lower in Chinese (34, 159 and 48 per 1,000,000 doses) and in South Asians (44, 148 and 32), but similar after adjusting for age, sex and vaccine type. Our findings should help encourage vaccination for all, irrespective of ethnicity.

A Case Report on a Women's Residential Substance use Program in a Rural and Urban Setting.

PURPOSE: To describe program characteristics and outcomes of a residential substance use recovery program serving pregnant and parenting women in a rural and urban location. DESCRIPTION: This assessment of administrative records from April 1, 2020 through March 31, 2022, included women in a rural (n = 140) and urban (n = 321) county in Kentucky. ASSESSMENT: This retrospective case study used descriptive and non-parametric analyses to assess the population and examine differences between locations, race, and ethnicity for women served. Logistic regression tested predictors of goal achievement by community. Of 461 women served, 65 (14.1%) delivered a baby while in treatment; 62 of which were considered healthy. 13% of the women were Black, 83.1% non-Hispanic (NH) white, and 3.7% were other races/biracial; 1.3% were Hispanic. The mean age was 30.92 years (SD 6.23) and treatment duration was 90.11 days (SD 67.70). Program goals were achieved by 312 (67.7%). There were no differences in rates of goal achievement or treatment duration by race, ethnicity, or age and no difference in the rate of achievement by location in univariate analyses. However, treatment duration was positively associated with program success in both communities. In the urban community, Black women were 8% more likely to successfully complete the program compared to NH white women (OR = 9.77 [95% CI 1.21,79.18; p = 0.033]) after controlling for confounders. Insufficient sample size for non-white women in the rural community prohibited evaluation. CONCLUSIONS: Duration of time in the program best predicted successful completion for women in recovery. These findings have policy implications.

Factors Associated with Stigma and Beliefs About Psychotropics Among the Japanese Ancestry Population Diagnosed with Depression in Brazil.

To analyze stigma related to depression, beliefs about psychotropics, and associated factors in a population of Japanese ancestry in Brazil. This cross-sectional study was conducted between March and June, 2022. Beliefs about psychotropics (BMQ-specific) and depression-related stigma (The Stigma Scale) were collected through an online questionnaire. Multiple linear regression analysis was performed to identify the factors associated with these dependent variables. Ninety-three respondents of Japanese ancestry completed the questionnaire. Participants were more focused on the necessity of the prescribed psychotropics than on possible adverse effects. Married individuals (ß=-4.68 [95%CI -8.74, -0.63]; p = 0.024) were less concerned with their psychotropics than single individuals, while those undergoing treatment for longer years (ß = 6.23 [95%CI 1.35, 11.11]; p = 0.013) perceive a greater necessity for treatment than those who started it recently. In addition, older individuals perceived less necessity for treatment (ß=-5.83 [95%CI -10.76, -0.90]; p = 0.021) than younger individuals. Unemployed people (ß = 12.09 [95%CI 0.47, 23.70]; p = 0.042) perceived more depression-related stigma than those employed. Aspects of Japanese cultural heritage related to depression and its treatment are still prevalent among people of Japanese ancestry in Brazil. Factors such as age, treatment duration, and marital status affects the perception of beliefs about psychotropics, whereas occupation affects the perception of stigma.

Self-identified Race and Ethnicity and How this is Perceived: Associations with the Physical and Mental Health of Incarcerated Individuals.

OBJECTIVES: The singular focus on self-identified race and ethnicity in health disparities research may not fully convey the individual and structural components of experiencing race in society, or in a racialized context such as prison. Processes of racialization create boundaries between incarcerated individuals and regulate their daily interactions and access to resources, with possible effects on well-being. However, the relationship between perceived race and health has not been examined within the imprisoned population. DESIGN: We used data from the 2016 Survey of Prison Inmates (n = 23,010) to assess how self-identified race, perceived race, and the discordance between racial self-identification and perception were associated with the physical (number of chronic conditions) and mental health (psychological distress) of American Indian and Alaska Native, Asian, Black, Latino, White, and multiracial incarcerated individuals. RESULTS: Reported perception as Latino was associated with better mental and physical health relative to perception as White. Perceived Latino identity was more strongly associated with physical and mental health than a Latino self-identity. Reported perception as Black was associated with less psychological distress than perception as White, but this relationship dissipated after accounting for self-identified race. In contrast, perceived and self-identified multiracial incarcerated individuals reported worse health than their White counterparts. Having a discordant (vs. concordant) racial identity was associated with worse physical and mental health among imprisoned persons regardless of race. CONCLUSION: The use of a single, unidimensional measure of race and ethnicity in health disparities research does not fully reveal racialization's influence on health, specifically for those experiencing incarceration.

Shifts in Residential Mobility Predict Shifts in Culture.

Does residential mobility change cultures, or is it merely a downstream indicator for other forces? Using large-scale surveys of citizens of 18 industrialized nations, we find that increased rates of residential mobility predict living in a more dynamic society at least 10 years in the future: one in which residents are more satisfied with their lives, have greater optimism, endorse more individualistic concepts, are more open to new ideas, have a greater sense of freedom of action, feel able to make friends more easily, express a more cosmopolitan identity, believe that their society rewards merit, and hold their community to a higher standard for treatment of minorities. These findings are echoed in the experience of Americans who have themselves recently moved, where we find that having successfully moved predicts a future sense of personal thriving, optimism, and a belief that merit is rewarded.

Projecting the Likely Impact of COVID-19 Infections on the Prevalence of Dementia in the United States.

Background: The association between COVID-19 infection and the onset of dementia among adults 65 years and older has the potential to increase the burden of dementia worldwide significantly. Our research, which focuses on understanding the likely increase in the burden of dementia due to COVID-19 infection in the USA, has crucial public policy implications. By providing these insights, we aim to empower policymakers, healthcare professionals, researchers, and public health officials to make informed decisions and plan for the future. Objective: Project the prevalence of dementia in the United States while accounting for the impact of COVID-19 infection on the onset of dementia. Methods: A dynamic multi-state population model was developed. The model was initialized with USA demographic data and estimates of age, gender, and race-specific transition rates from the Health and Retirement Study (HRS). Results: The projected increase in the burden of dementia among Americans 65 years and older is a staggering 14.838 million by 2050. However, due to the COVID-19 pandemic, we anticipate an additional 265,000 to 677,000 older adults 65 years and older will be affected by dementia. This will escalate the burden of dementia to a potential 15.103 million to 15.515 million by 2050, a significant human toll that we must be prepared for. Conclusions: The projected dementia numbers underscore the urgent need for policy and intervention in social care services and healthcare needs planning. This includes providing robust support systems for caregivers and ensuring the healthcare staff is adequately trained to meet the healthcare needs of dementia patients and their families.

Referral Sources Across Racial and Ethnic Groups at Alzheimer's Disease Research Centers.

Background: Despite the need to increase engagement of underrepresented groups (URG) in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. Objective: Compare referral sources across racial and ethnic groups among participants enrolled in ADRC studies. Methods: Data for this cross-sectional secondary analysis were extracted from the National Alzheimer's Coordinating Center Uniform Data Set. We performed mixed effects logistic regression models using generalized estimating equations for professional referral versus non-professional referral by racial and ethnic group, adjusted for age, gender, education, visit year, and Clinical Dementia Rating scale (CDR) with a random effect for study site. Results: Included in the analysis were 48,330 participants across 46 ADRCs (mean [SD] age, 71.3 [10.5] years; 20,767 female [57%]; 4,138 Hispanic [8.6%]; 1,392 non-Hispanic Asian [2.9%]; 6,766 non-Hispanic Black [14%] individuals; and 676 individuals [1.4%] of other races. Non-Hispanic Black and Asian participants had lower odds of being referred by a professional contact compared to non-Hispanic White participants (Black: adjusted OR = 0.61, 95% CI = 0.44-0.86, p = 0.005; Asian: adjusted OR = 0.65, 95% CI, p = 0.004). In participants who had completed an MRI, there was no significant difference in referral source across ethnic and racial groups. Conclusions: Further studies are needed to better understand the systemic and structural factors that contribute to differences in referral sources and disparities in recruitment of URG into ADRD studies.

Race and ethnicity expression in reproductive endocrinology and infertility research studies compared with other obstetrics and gynecology subspecialty studies.

Objective: To compare the percentage of patients per race and ethnicity group in the most cited reproductive endocrinology and infertility studies with the most cited studies in 3 other obstetrics and gynecology (OBGYN) subspecialties: gynecologic oncology, urogynecology (URO), and maternal-fetal medicine. Design: Retrospective cohort study. Setting: Not applicable. Patients: Patients previously recruited in research studies. Interventions: None. Main Outcome Measures: Expression of minorities in research studies. Results: Individual searches were conducted for the most cited articles in OBGYN subspecialties until 50 studies met the inclusion criteria for each OBGYN subspecialty. A total of 29,821,148 patients were included and compared between subspecialty and US Census data. Reproductive endocrinology and infertility studies had the highest percentage of White patients (80.5%), although URO studies had fewer Black patients (6.6%) compared with other subspecialties. Reproductive endocrinology and infertility studies had the lowest percentage of Hispanic patients (4.9%), yet more Asian patients were present in URO studies (3.3%) than in other subspecialties. Gynecologic oncology studies were most likely to have missing data in race expression (19.3%). Comparing study types, retrospective studies had the highest percentage of White patients (61.9%), although randomized controlled trials had the lowest expression of Hispanic patients (8.8%). Conclusions: Reproductive endocrinology and infertility studies featured the highest rates of White patients compared with other OBGYN subspecialty studies, although URO studies had the lowest rates of Black patients. Randomized controlled trials featured higher rates of White patients and lower levels of Hispanic patients compared with US Census data.

Motivators and Barriers to Joining a Lifestyle Change Program for Disease Prevention.

Introduction: Lifestyle change programs (LCPs) are effective in helping people adopt healthy lifestyles and maintain healthy weight for disease prevention. LCPs are known to be underutilized, but the nuances surrounding women's interest in using these programs for disease prevention need to be further explored so that enrollment and retention in these programs can be improved. Methods: The purpose of this study was to explore women's interest in and knowledge of LCPs and identify their motivators and barriers to joining these types of programs through a survey. The survey was administered both online and in person. The survey had 22 questions and included demographics, medical and family history, knowledge and interest in LCPs, and barriers and motivators to participating in LCPs. Results: Participants in this study included 1,606 women from 40 to 74 years of age. We found that respondents had limited knowledge about the benefits of LCPs in reducing risks of specific diseases, such as breast cancer and osteoarthritis. Respondents reported low-to-moderate interest in LCPs. We found that their interest in these programs was negatively associated with their weekly physical activity and positively associated with their body mass index (BMI) and the number of reported barriers to joining LCPs. The most common barriers cited were cost, location, time, and too many meetings. In addition, we found that respondents who had or were unsure about their family history of diabetes were more interested in LCPs compared with individuals who had no family history of diabetes. We did not find significant differences in respondent interest in LCPs across ethnicity. Conclusions: Our study suggests that specific barriers to LCPs-including women's knowledge of such programs-will need to be addressed before enrollment and retention in LCPs are increased.

Ethnic-Specific Threshold Analysis and BMI and Waist Circumference Cutoffs for Cardiovascular Disease and Subjective Wellbeing: Results using Data from the UK Biobank.

OBJECTIVES: We aimed to identify ethnicity-specific BMI and waist circumference cutoffs for cardiovascular disease (CVD) and to define optimal thresholds for CVD risk and subjective wellbeing (SWB) through predictive modelling, to inform precise public health initiatives. METHODS: We used data from 296,767 UK Biobank participants and adjusted logistic and linear regression models for CVD and SWB, respectively, complemented by receiver operating characteristic analysis, to explore optimal risk thresholds of CVD in six different ethnic groups and to calculate ethnicity-specific cutoffs of BMI and waist circumference (WC) to further elucidate the relationships between demographic factors and cardiovascular risk among diverse populations. RESULTS: The logistic regression model of CVD revealed moderate discriminative ability (AUROC ~ 64-65%) across ethnicities for CVD status, with sensitivity and specificity values indicating the model's predictive accuracy. For SWB, the model demonstrated moderate performance with an AUROC of 63%, supported by significant variables that included age, BMI, WC, physical activity, and alcohol intake. Adjusted-incidence rates of CVD revealed the evidence ethnic-specific CVD risk profiles with Whites, South Asians and Blacks demonstrating higher predicted CVD events compared to East Asians, mixed and other ethnic groups. CONCLUSION: Alterations of ethnicity-specific BMI and waist circumference are required to ensure ethnic minorities are provided with proper mitigation of cardiovascular risk, addressing the disparities observed in CVD prevalence and outcomes across diverse populations. This tailored approach to risk assessment can facilitate early detection, intervention and management of CVD, ultimately improving health outcomes and promoting health equity. The moderate accuracy of predictive models underscores the need for further research to identify additional variables that may enhance predictive accuracy and refine risk assessment strategies.

Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study.

Background: Electronic health records (EHRs) are increasingly used for epidemiologic research to advance public health practice. However, key variables are susceptible to missing data or misclassification within EHRs, including demographic information or disease status, which could affect the estimation of disease prevalence or risk factor associations. Objective: In this paper, we applied methods from the literature on missing data and causal inference to assess whether we could mitigate information biases when estimating measures of association between potential risk factors and diabetes among a patient population of New York City young adults. Methods: We estimated the odds ratio (OR) for diabetes by race or ethnicity and asthma status using EHR data from NYU Langone Health. Methods from the missing data and causal inference literature were then applied to assess the ability to control for misclassification of health outcomes in the EHR data. We compared EHR-based associations with associations observed from 2 national health surveys, the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey, representing traditional public health surveillance systems. Results: Observed EHR-based associations between race or ethnicity and diabetes were comparable to health survey-based estimates, but the association between asthma and diabetes was significantly overestimated (OREHR 3.01, 95% CI 2.86-3.18 vs ORBRFSS 1.23, 95% CI 1.09-1.40). Missing data and causal inference methods reduced information biases in these estimates, yielding relative differences from traditional estimates below 50% (ORMissingData 1.79, 95% CI 1.67-1.92 and ORCausal 1.42, 95% CI 1.34-1.51). Conclusions: Findings suggest that without bias adjustment, EHR analyses may yield biased measures of association, driven in part by subgroup differences in health care use. However, applying missing data or causal inference frameworks can help control for and, importantly, characterize residual information biases in these estimates.

Challenges for eGFR equations in the developing world.

The populations in countries that have the highest number of individuals with chronic kidney disease (CKD) are the low and middle-income countries which are ethnically diverse. The regional and international data highlighting the need for continuous monitoring of renal function warrants that such countries use equations that give the best estimates of glomerular filtration rate for their settings. While chronic disease conditions such as diabetes and hypertension are the main conditions associated with CKD in adult populations and complicated urinary tract infections and congenital anomalies in the kidney and the urinary tract in the young, the management of patients with CKD at any age can be impacted by medical and non-biological factors. This communication seeks to posit issues that may be germane to consider when using the CKD-EPI 2021 equations in the adult and young adult populations. These equations, by excluding the race factor, have put the spotlight on the relevance of the cultural and economic context concerning the management of renal patents. The social determinants of health, how an individual defines their gender, the cultural acceptance of such or the lack thereof, factors influencing the choice of the test, communication, and technology among others may all affect renal care. These issues together may have a greater impact on renal patient care and outcome than racial disparity. While the racial divide may have been a driver for differential treatment in developed nations with different ethnic groups they may be less so when compared with more homogenous populations.

Patient-Reported Racial and Ethnic Disparities in Patients With Ulcerative Colitis: Results From the National Health and Wellness Survey.

Background: Ulcerative colitis (UC) is an inflammatory condition characterized by chronic, disabling gastrointestinal symptoms that can have detrimental effects on psychological, social, and professional quality of life. Few studies have examined patient-reported outcomes (PROs) and economic outcomes among individuals with varying UC severity and across different racial/ethnic groups. Methods: This cross-sectional study assessed sociodemographic data, PROs, and economic outcomes for participants from the National Health and Wellness Survey (2018, 2019, and 2020) with UC. Multivariable analyses were used to assess the association of self-reported UC severity and race/ethnicity with health-related quality of life (HRQoL), work productivity and activity impairment (WPAI), healthcare resource utilization (HCRU), and medical costs. Results: This study included 1500 participants with UC (1150 non-Hispanic White, 99 non-Hispanic Black, and 251 Hispanic). Moderate/severe disease was associated with significantly worse HRQoL and WPAI, greater HCRU, and higher direct medical costs than mild UC. Compared with non-Hispanic White participants, non-Hispanic Black participants reported better HRQoL, whereas Hispanic participants reported more HCRU and higher medical costs. Race/ethnicity significantly interacted with UC severity level in predicting labor force participation. Conclusions: Participants with moderate/severe disease had worse outcomes than those with mild UC. Additionally, racial/ethnic differences were found in HRQoL, employment, WPAI, HCRU, and direct medical costs. Notably, Hispanic participants showed distinct patterns, particularly in how disease severity influenced employment outcomes. Further research is needed to better understand the differential burden among patients across racial/ethnic groups.

Ethnicity and access to water, sanitation, and hygiene in Bangladesh: a study using MICS data and policy reviews.

INTRODUCTION: Safe drinking water, sanitation, and hygiene (WASH) are crucial to human health. Reducing inequalities and ensuring universal access to WASH are essential to achieving the agenda of sustainable development. We aimed to measure access to WASH among ethnic minority populations in Bangladesh and understand the situation and factors affecting WASH practices among them. Additionally, we reviewed policy related to WASH to highlight the inequality faced by ethnic minority populations. METHODOLOGY: We utilized data from the multiple indicator cluster survey-2019. We used the chi-square test for bivariate analysis and multilevel mixed-effect logistic regression analyses to identify the effect of ethnicity on WASH in Bangladesh after controlling selected covariates. Furthermore, we systematically reviewed Bangladesh's WASH-related policies and programs. FINDINGS: While 98.5% of Bengalis had access to basic drinking water services, the percentage is 60.6% for the ethnic minority population. For improved sanitation facilities not shared with others, the difference between Bengali and ethnic populations was 22.3% (64.6% vs. 42.3%). On the other hand, 75% of the Bengali population had a handwashing facility with water and soap, and 50% of the ethnic population had them. Ethnicity appeared to be a statistically significant predictor of every component of WASH. Compared to Bengali, the ethnic population had 87%, 45%, 31%, and 45% less access to water (aOR = 0.13, p ≤ 0.001), sanitation (aOR = 0.55, p ≤ 0.001), and handwashing (aOR = 0.69, p ≤ 0.05), and WASH facilities aOR = 0.55, p ≤ 0.001), respectively. Among the policies of Bangladesh, only one identified action for WASH rights of ethnic minorities. CONCLUSION: The government should identify the issues of WASH among ethnic minorities and represent them adequately in policies to achieve the aim of 'leaving none behind' of sustainable development goals.