American Indian Research Articles

Association of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy.

Introduction and Objective: Continuous glucose monitoring (CGM) can improve glycemic control in people with diabetes on insulin therapy. We assessed rates of prescriptions for CGM in a national sample of Veterans across subgroups defined by race and ethnicity. Methods: This cross-sectional analysis of data from the U.S. Veterans Health Administration included adults with type 1 or type 2 diabetes on insulin therapy. Main exposures included self-reported race and ethnicity, and primary outcome was the percentage of patients with at least one CGM prescription between January 1, 2020, and December 31, 2021. Association of race and ethnicity categories with CGM prescription was examined using multilevel, multivariable mixed-effects models. Results: Among 368,794 patients on insulin (mean age, 68.5 years; 96% male; 96.8% type 2 diabetes; 0.8% American Indian or Alaska Native, 0.7% Asian, 18.9% Black or African American, 0.9% Native Hawaiian or other Pacific Islander, 70.2% White, 2.8% multiracial, 5.7% with unknown race, and 7.0% Hispanic or Latino ethnicity), 11.2% were prescribed CGM. CGM was prescribed for 10.4% American Indian or Alaska Native, 9.7% Asian, 9.2% Black or African American, 9.3% Native Hawaiian or other Pacific Islander, 11.8% White, 11.8% multiracial, and 10.1% patients with unknown race. CGM was prescribed for 8.3% Hispanic or Latino, 11.4% non-Hispanic, and 11.5% of patients with unknown ethnicity. After accounting for patient-, clinical-, and system-level factors, Black or African American patients had significantly lower odds of CGM prescription compared with White patients (adjusted odds ratio [aOR] 0.62, 95% confidence interval [CI] 0.59-0.64), whereas Hispanic or Latino patients had significantly lower odds compared with non-Hispanic patients (aOR 0.79, 95% CI 0.74-0.84). Findings were consistent across subgroups with clinical indications for CGM use. Conclusions: Among Veterans with diabetes on insulin therapy, there were significant disparities in prescribing of CGM technology by race and ethnicity, which require further study and intervention.

Implementing a Metabolism-informed approach for smoking cessation in an Alaska Tribal health system: study protocol for a single-arm implementation pilot trial

BackgroundIndividualized treatment for commercial tobacco smoking cessation, such as through the utilization of the nicotine metabolite ratio (NMR), offers potential clinical benefit. NMR is a metabolism-informed biomarker that can be used to guide medication selection. NMR testing is particularly promising for tobacco cessation efforts in populations with high rates of smoking, such as some Alaska Native and American Indian (AN/AI) communities. To date, no prior study has evaluated the implementation of NMR-guided tobacco cessation with AN/AI populations.MethodsThe present “QUIT” protocol is a two-phase study that will occur at Southcentral Foundation (SCF), an Alaska Native-owned health system, serving 70,000 AN/AI people, based in Anchorage, Alaska. In Phase one, qualitative interviews with customer-owners (patients), providers and administrators (n = 36) and a 10-participant beta-test will be used to refine a strategy to implement NMR testing in the health system. Phase two will involve a single-arm pilot trial (n = 50) and qualitative interviews throughout data collection (n = 48) to evaluate the implementation strategy and explore the real-world acceptability and feasibility of NMR testing to guide tobacco cessation with AN/AI populations.DiscussionThis study utilizes a community-based participatory approach to refine and implement a nicotine metabolism-informed smoking cessation program in a Tribal healthcare setting. The process and findings from this study will reflect the importance of customer-owner choice and honor the lived experience involved in quitting commercial tobacco. Pilot study data will inform the effect and sample sizes required for a future pragmatic trial of NMR-guided smoking cessation.Trial registrationThis study will be registered with clinicaltrials.gov after the beta test is complete and the final IRB protocol is approved.

Vital Signs: Trends and Disparities in Childhood Vaccination Coverage by Vaccines for Children Program Eligibility - National Immunization Survey-Child, United States, 2012-2022.

The Vaccines for Children (VFC) program was established in 1994 to provide recommended vaccines at no cost to eligible children and help ensure that all U.S. children are protected from life-threatening vaccine-preventable diseases. CDC analyzed data from the 2012-2022 National Immunization Survey-Child (NIS-Child) to assess trends in vaccination coverage with ≥1 dose of measles, mumps, and rubella vaccine (MMR), 2-3 doses of rotavirus vaccine, and a combined 7-vaccine series, by VFC program eligibility status, and to examine differences in coverage among VFC-eligible children by sociodemographic characteristics. VFC eligibility was defined as meeting at least one of the following criteria: 1) American Indian or Alaska Native; 2) insured by Medicaid, Indian Health Service (IHS), or uninsured; or 3) ever received at least one vaccination at an IHS-operated center, Tribal health center, or urban Indian health care facility. Overall, approximately 52.2% of U.S. children were VFC eligible. Among VFC-eligible children born during 2011-2020, coverage by age 24 months was stable for ≥1 MMR dose (88.0%-89.9%) and the combined 7-vaccine series (61.4%-65.3%). Rotavirus vaccination coverage by age 8 months was 64.8%-71.1%, increasing by an average of 0.7 percentage points annually. Among all children born in 2020, coverage was 3.8 (≥1 MMR dose), 11.5 (2-3 doses of rotavirus vaccine), and 13.8 (combined 7-vaccine series) percentage points lower among VFC-eligible than among non-VFC-eligible children. Although the VFC program has played a vital role in increasing and maintaining high levels of childhood vaccination coverage for 30 years, gaps remain. Enhanced efforts must ensure that parents and guardians of VFC-eligible children are aware of, have confidence in, and are able to obtain all recommended vaccines for their children.

Direct and indirect pathways linking gentrification to adolescent reading and math achievement via educational aspirations and psychological distress.

This study examined how living in a gentrifying neighborhood may impact adolescents' reading and math achievement via educational aspirations and psychological distress and asked whether these pathways differ according to socioeconomic status and race. A framework combining theories of adolescent development and neighborhood effects was empirically tested using a racially diverse sample of adolescents living in urban neighborhoods in North Carolina matched to administrative school records and census data (N = 1,045, Mage = 12, 8% American Indian, 4% Asian, 32% Black, 62% White, 15% multiracial, 16% Latinx, categories not mutually exclusive). At the population level, structural equation models found no relation between the extent of gentrification occurring in youths' neighborhood of residence and reading and math achievement, educational aspirations, or psychological distress. However, moderated mediation models revealed a positive association between gentrification and psychological distress among youth with low (but not high) subjective family economic status, leading to a small negative indirect effect of gentrification on math achievement. The link between gentrification and increased psychological distress was largest among Black youth with low subjective family economic status, who may face both heightened racism and classism-related social stressors as their neighborhood gentrifies. Findings have theoretical and policy implications, as they challenge the assumption that living in proximity to higher income, higher educated peers will benefit youth from disadvantaged neighborhoods. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study.

Despite the high burden of diabetes and cardiovascular risk factors in American Indian communities in the United States, prospective studies of heart failure (HF) in this population group are scarce, and the generalizability of previous HF risk scales may be limited. We developed a parsimonious HF risk prediction equation that accounts for relevant risk factors affecting American Indian communities, focusing on diabetes and kidney damage. A total of 3059 participants from the SHS (Strong Heart Study) (56±8 years of age, 58% women) were included. Five hundred seven developed HF. Progressively adjusted Cox proportional hazards models were used to identify risk factors for HF and HF subtypes. Predictors of risk at 5 and 10 years included older age (hazard ratio [HR], 1.79 [95% CI, 1.43-2.25]; HR, 1.68 [95% CI, 1.44-1.95]), smoking (HR, 2.26 [95% CI, 1.23-4.13]; HR, 2.08 [95% CI, 1.41-3.06]), macroalbuminuria (HR, 8.38 [95% CI, 4.44-15.83]; HR, 5.20 [95% CI, 3.42-7.9]), microalbuminuria (HR, 2.72 [95% CI, 1.51-4.90]; HR, 1.92 [95% CI, 1.33, 2.78]), and previous myocardial infarction (HR, 6.58 [95% CI, 2.54-17.03]; HR, 3.87 [95% CI, 2.29-6.54]), respectively. These predictors, together with diabetes diagnosis and glycated hemoglobin were significant at 10 and 28 years. High discrimination performance was achieved (C index, 0.81 [95% CI, 0.76-0.84]; C index, 0.78 [95% CI, 0.75-0.81]; and C index, 0.77 [95% CI, 0.74-0.78] at 5, 10, and up to 28 years of follow up, respectively). Some associations varied across HF subtypes, although diabetes, albuminuria, and previous myocardial infarction were associated with all subtypes. This prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

Racial Disparities in Pulse Oximetry, in COVID-19 and ICU Settings.

This study aimed to assess the impact of race on pulse oximetry reliability, taking into account Spo2 ranges, COVID-19 diagnosis, and ICU admission. Retrospective cohort study covering admissions from January 2020 to April 2024. National COVID Cohort Collaborative (N3C) database, consisting of electronic health records from 80 U.S. institutions. Patients were selected from the N3C database based on the availability of data on self-identified race and both pulse oximetry estimated Spo2 and Sao2. Subgroups included patients in ICU and non-ICU settings, with or without a diagnosis of COVID-19 disease. None. The agreement between Spo2 and Sao2 was assessed across racial groups (American Indian or Alaska Native, Asian, Black, Hispanic or Latino, Pacific Islander, and White). Each patient's initial Sao2 measurement was matched with the closest Spo2 values recorded within the preceding 10-minute time frame. The risk of hidden hypoxemia (Spo2 ≥ 88% but Sao2 < 88%) was determined for various Spo2 ranges, races, and clinical scenarios. We used a generalized logistic mixed-effects model to evaluate the impact of relevant variables, such as COVID-19, ICU admission, age, sex, race, and Spo2, on the risk of hidden hypoxemia, while accounting for the random effects within each hospital. A total of 80,541 patients were included, consisting of 596 American Indian or Alaska Native, 2,729 Asian, 11,889 Black, 13,154 Hispanic or Latino, 221 Pacific Islander, and 51,952 White individuals. Discrepancies between Spo2 and Sao2 were observed across all racial groups, with the most pronounced bias in Black patients. Hidden hypoxemia rates were higher in Black patients across all Spo2 subgroups, for all clinical scenarios. The odds of hidden hypoxemia were higher for Black and Hispanic or Latino patients and for those with COVID-19 disease. Race significantly impacts pulse oximetry reliability. Not only Black and Hispanic or Latino patients were at higher risk for hidden hypoxemia, but also those admitted with a COVID-19 diagnosis. Future in-depth explorations into the underlying causes and potential solutions are needed.

Efficacy of a Mobile App-Based Intervention for Young Adults With Anxiety Disorders: A Randomized Clinical Trial.

Anxiety disorders are prevalent and undertreated among young adults. Digital mental health interventions for anxiety are promising but limited by a narrow range of therapeutic components and low user engagement. To investigate the efficacy of and engagement with Maya, a scalable, self-guided, comprehensive mobile cognitive behavioral therapy (CBT) intervention with embedded engagement features, comparing the effects of 3 incentive conditions. This randomized clinical trial recruited young adults aged 18 to 25 years with anxiety disorders through online advertisements and outpatient psychiatry clinics at Weill Cornell Medicine. Enrollment was between June 16, 2021, and November 11, 2022. Data analysis was performed from December 21, 2022, to June 14, 2024. Participants received a 6-week program of the intervention and were randomized to 1 of 3 different text message-based incentive conditions (gain-framed, loss-framed, or gain-social support). The primary outcome was change in anxious symptoms from baseline to end of treatment, as measured by the Hamilton Anxiety Rating Scale (HAM-A). The Anxiety Sensitivity Index and the Leibowitz Social Anxiety Scale scores were secondary measures. The sample consisted of 59 participants (mean [SD] age, 23.1 [1.9] years; 46 [78%] female; 22 [37%] Asian, 3 [5%] Black, 5 [8%] Hispanic or Latino, 1 [2%] American Indian or Alaska Native, 25 [42%] White, and 6 [10%] >1 race; 32 [54%] college-educated and 12 [20%] graduate or professional school-educated; mean [SD] baseline HAM-A score, 15.0 [6.5]). Anxiety, measured by HAM-A, decreased across conditions from baseline to end of the intervention (mean difference, -5.64; 95% CI, -7.23 to -4.05), and symptomatic improvement was maintained at the week 12 follow-up (baseline to follow-up mean difference, -5.67; 95% CI, -7.29 to -4.04). However, there was no evidence that change in anxiety differed by incentive condition (loss-framed vs gain-social support mean difference, -1.40; 95% CI, -4.72 to 1.93; gain-framed vs gain-social support mean difference, 1.38; 95% CI, -1.19 to 3.96). Secondary anxiety measures (Anxiety Sensitivity Index and Liebowitz Social Anxiety Scale scores) showed a similar pattern of improvement, with no evidence of differences between incentive conditions. Participants completed most of the 12 sessions (mean [SD], 10.8 [2.1]; 95% CI, 10.3-11.4), and User Mobile Application Rating Scale app quality ratings exceeded the published threshold for acceptability at all study visits. There was no evidence that either session completion or app quality ratings differed by incentive condition. In this randomized clinical trial of an app-based intervention for anxiety, the primary hypothesis that improvement in anxiety would be greatest in the condition using gain of points plus social incentives was not supported; however, the results suggest that a CBT application incorporating a full suite of CBT skills and embedded user engagement features was efficacious in improving symptoms in young adults with anxiety disorders. Given these findings, digital interventions represent a promising step toward wider dissemination of high-quality, evidence-based interventions. ClinicalTrials.gov Identifier: NCT05130281.

Contract Termination and Insurance Enrollment Among Medicare Advantage Beneficiaries

Approximately one-fifth of Medicare Advantage (MA) contracts terminated their participation in the MA program between 2011 and 2020. Little is known about subsequent insurance choices following a termination. To examine the insurance destinations of MA enrollees and the characteristics of enrollees who switch into traditional Medicare (TM) after a contract termination. This cross-sectional study examined MA program data of MA beneficiaries in the Medicare Master Beneficiary File from 2016 to 2018. Statistical analysis was performed from June 2023 to April 2024. Beneficiary characteristics, including age, sex, race and ethnicity, dual eligibility; hospital, nursing home, and home health utilization; and contract characteristics, including plan type, vertical integration, premium, and MA star rating. The main outcome was switching to TM in the year immediately after termination. We also evaluated the characteristics of contracts among those who remained in MA. A total of 117 681 beneficiaries were included in this analysis (64 654 [54.9%] female; 409 [0.4%] American Indian or Alaska Native; 2817 [2.4%] Asian; 76 725 [16.8%] Black; 11 131 [9.5%] Hispanic; 81 226 [69.0%] White; and 2373 [2.0%] other race or ethnicity; 27 078 [23.0%] dual-eligible; mean [SD] age, 71.2 [10.4] years). Following a contract termination, 20.1% (95% CI, 19.9%-20.4%) of enrollees switched to TM, including 32.7% (95% CI, 32.4%-33.1%) of dual-eligible beneficiaries and 16.4% (95% CI, 16.2%-16.5%) of non-dual-eligible beneficiaries. In nonterminated contracts, the concurrent switch rate was 6.2% (95% CI, 6.2%-6.2%) for all, 10.4% (95% CI, 10.4%-10.4%) for dual-eligible beneficiaries and 5.1% (95% CI, 5.1%-5.1%) for non-dual-eligible enrollees. The highest switch rates to TM were among Black enrollees (32.3% [95% CI, 31.7%-32.8%]) and those with prior use of hospital (31.3% [95% CI, 30.7%-31.9%], nursing home, 41.4% [95% CI, 40.4%-42.4%], or home health care (28.3% [95% CI, 27.4%-29.2%]). Beneficiaries who stayed in MA selected higher-rated star plans (mean posttermination contract star rating of 3.8 [95% CI, 3.8-3.8] stars compared with 3.3 [95% CI, 3.3-3.3] stars in the terminated year), but did not pay more in monthly premiums with 66.5% (95% CI, 66.2%-66.8%) paying the same or lower premiums. In this cross-sectional study, 1 in 5 MA beneficiaries switched to TM after a contract termination, with Black beneficiaries and those with more intensive health needs having the highest switch rates. These findings highlight the need to examine consequences of contract terminations and subsequent insurance destinations on access to care and health outcomes, especially among those with marginalized race and ethnicity, those who are dual-eligible, and beneficiaries with higher health care needs.

Contextual Deprivation, Race and Ethnicity, and Income in Air Pollution and Cardiovascular Disease

Socioeconomically disadvantaged subpopulations are more vulnerable to fine particulate matter (PM2.5) exposure. However, as prior studies focused on individual-level socioeconomic characteristics, how contextual deprivation modifies the association of PM2.5 exposure with cardiovascular health remains unclear. To assess disparities in PM2.5 exposure association with cardiovascular disease among subpopulations defined by different socioeconomic characteristics. This cohort study used longitudinal data on participants with electronic health records (EHRs) from the All of Us Research Program between calendar years 2016 and 2022. Statistical analysis was performed from September 25, 2023, through February 23, 2024. Satellite-derived 5-year mean PM2.5 exposure at the 3-digit zip code level according to participants' residential address. Incident myocardial infarction (MI) and stroke were obtained from the EHRs. Stratified Cox proportional hazards regression models were used to estimate the hazard ratio (HR) between PM2.5 exposure and incident MI or stroke. We evaluated subpopulations defined by 3 socioeconomic characteristics: contextual deprivation (less deprived, more deprived), annual household income (≥$50 000, <$50 000), and race and ethnicity (non-Hispanic Black, non-Hispanic White). We calculated the ratio of HRs (RHR) to quantify disparities between these subpopulations. A total of 210 554 participants were analyzed (40% age >60 years; 59.4% female; 16.7% Hispanic, 19.4% Non-Hispanic Black, 56.1% Non-Hispanic White, 7.9% other [American Indian, Asian, more than 1 race and ethnicity]), among whom 954 MI and 1407 stroke cases were identified. Higher PM2.5 levels were associated with higher MI and stroke risks. However, disadvantaged groups (more deprived, income <$50 000 per year, Black race) were more vulnerable to high PM2.5 levels. The disparities were most pronounced between groups defined by contextual deprivation. For instance, increasing PM2.5 from 6 to 10 μg/m3, the HR for stroke was 1.13 (95% CI, 0.85-1.51) in the less-deprived vs 2.57 (95% CI, 2.06-3.21) in the more-deprived cohort; 1.46 (95% CI, 1.07-2.01) in the $50 000 or more per year vs 2.27 (95% CI, 1.73-2.97) in the under $50 000 per year cohort; and 1.70 (95% CI, 1.35-2.16) in White individuals vs 2.76 (95% CI, 1.89-4.02) in Black individuals. The RHR was highest for contextual deprivation (2.27; 95% CI, 1.59-3.24), compared with income (1.55; 95% CI, 1.05-2.29) and race and ethnicity (1.62; 95% CI, 1.02-2.58). In this cohort study, while individual race and ethnicity and income remained crucial in the adverse association of PM2.5 with cardiovascular risks, contextual deprivation was a more robust socioeconomic characteristic modifying the association of PM2.5 exposure.

Social Determinants of Health, Tribal Payments, and Probability of Contracting COVID-19 in American Indian and Alaska Native Peoples.

Little is known about the relationships between demographic and economic social determinants of health and the probability of contracting COVID-19 in American Indian and Alaska Native (AI/AN) peoples. In addition, we do not know if and how tribal payments, unique to AI/AN peoples, are associated with the probability of contracting COVID-19. We surveyed 767 AI/AN patients of five geographically disparate health organizations that primarily served AI/AN peoples in urban settings between January and May of 2021. We used univariate modified Poisson regressions to estimate the influence of age, gender, household composition, education, household income, and tribal payments on risk of contracting COVID-19, with results presented as both risk and risk difference. Fifteen percent of the sample contracted COVID-19, and individuals who lived in households with two or more generations had an 11-percentage point elevated risk of contracting COVID-19 compared to those who lived alone. Twenty-seven percent of participants received tribal payments; receipt was associated with seven percentage points (change from 18% probability to 11% probability) lower risk of contracting COVID-19. Our findings showed interventions specifically designed to reduce the spread of COVID-19 in multigenerational households, and regular tribal payments may help improve health outcomes in urban AI/AN populations.

Demographics and mortality trends of valvular heart disease in older adults in the United States: Insights from CDC-wonder database 1999–2019

BackgroundValvular heart disease (VHD) represents a spectrum of cardiac conditions, including valvular stenosis, valvular regurgitation, or mixed lesions affecting single or multiple valves. The severity of VHD has emerged as a major cause of cardiovascular (CV) morbidity and mortality among the older population in the United States (U.S). ObjectiveTo evaluate temporal trends in mortality associated with VHD in the elderly U.S population between 1999 and 2019. MethodsWe utilized the CDC WONDER database for VHD mortality in adults ≥75 from 1999 to 2019, using ICD-10 codes. Age-adjusted mortality rates (AAMR) per 100,000 people with associated annual percentage change (APC) were calculated. Joinpoint regression was used to assess the overall trends and trends for demographic, geographic, and type of valvular disease subgroups. ResultsA total of 666,765 VHD deaths in older adults from 1999 to 2019 was identified, with an initial decline in AAMR until 2007 with an APC: 0.62, 95 % CI (−1.66-0.33), stability until 2014, and a significant decrease until 2019 (APC: 1.47, 95 % CI [-2.24-1.04], P < 0.0001). Men consistently had higher AAMRs compared to women (overall AAMR men: 173.6; women: 138.2). The AAMRs were found to be highest in the White (166.5), followed by American Indian or Alaska Native population at (93.8) Hispanic or Latino at (80.7), Black or African American populations at (74.1) and lastly Asian or Pacific Islander (73.4). Non-metropolitan areas manifested higher AAMRs for deaths related to VHD than metropolitan areas (overall AAMRs 160.5 vs 149.5) respectively. State-wide AAMRs varied, with the highest in Vermont at 324.2 (95 % CI [313.0–335.4], P < 0.0001) and the lowest in Mississippi at 88.0 (95 % CI [85.0–91.0], P < 0.0001). Non-rheumatic and aortic valve disorders in adults ≥75 years had higher mortality rates compared to rheumatic or mitral valve conditions in those <75 years. ConclusionOur study showed a decline in U.S. VHD mortality from 1999 to 2019 but found persistent disparities by gender, race, age, region, and VHD type. Targeted policies for prevention and early diagnosis are needed to address these inequalities.

Blood Metal Mixture Effects on All-Cause Mortality in American Indian Populations, Strong Heart Study

Blood Metal Mixture Effects on All-Cause Mortality in American Indian Populations, Strong Heart Study

Lead and Cancer Mortality among American Indian Populations: A Prospective Cohort Study

Lead and Cancer Mortality among American Indian Populations: A Prospective Cohort Study

Quantifying the Burden of Opioid Use Disorder and Non-fatal Opioid Overdose in American Indian and Alaskan Native Populations Using the Cerner Real-World Data™ Database.

This study evaluated the prevalence and incidence of opioid use disorder (OUD), rates of opioid overdose (OD), and rates of non-fatal (NF) OD in American Indian/Alaskan Native (AI/AN) populations. We used de-identified patient data from Oracle Cerner Real-World Data™. Rates were estimated over time, and stratified by sex, age, marital status, insurance, and region. Mann-Kendall trend tests and Theil-Sen slopes assessed changes over time for each group while autoregressive modeling assessed differences between groups. The study identified trends in OUD and OD among 700,225 AI/AN patients aged 12 and above. Between 2012 and 2022, there was a significant upward trend in both OUD and OD rates(p < 0.05) , with OUD diagnosed in 1.75% and OD in 0.38% of the population. The Western region of the US exhibited the highest rates of OUD and OD. The 35-49 age group showed the highest rates of OUD, while the 12-34 age group had the highest rates of OD. Marital status analysis revealed higher rates of OUD and OD among separated, widowed, or single patients. Additionally, individuals with Medicare or Medicaid insurance demonstrated the highest rates of OUD and OD. Results show that rates of OUD, OD, and NF OD continue to rise among AI/AN individuals, with some regional and demographic variation. Our study provides foundational estimates of key AI/AN populations bearing greater burdens of opioid-related morbidity that federal, state, and tribal organizations can use to direct and develop targeted resources that can improve the health and well-being of AI/AN communities.

Palliative Care Experiences Among Adults From Underrepresented Racial and Ethnic Groups in the United States: A Scoping Review.

Patients from underrepresented racial and ethnic groups (URGs) in the United States (US) experience disparities in accessing palliative care (PC) at the end of life (EOL). Additionally, little effort has been made to understand their experiences with PC. To identify and synthesize existing literature on PC experiences among adults from URGs in nursing homes, community settings, and hospitals in the US. Guided by the Joanna Briggs Institute methodological recommendation and Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews, we conducted a scoping review. We searched PubMed, EMBASE, CINAHL, Scopus, and ProQuest Dissertations & Theses Global from inception to January 2024. We included five studies representing Hispanic/Latino, American Indian, African/Black American, and Chinese individuals. Data were organized around two themes: navigating PC pathway and choices and practices during PC. Navigating PC pathway theme highlights that despite the several barriers URGs face when accessing PC, they seek PC services due to their limited formal family assistance in managing their chronic conditions and pain. The choices and practices during PC theme emphasize the roles URG family members play in EOL care, the patient's care preferences, and their spiritual practices and beliefs related to EOL care. This scoping review reveals limited literature about URG experiences with PC and highlights the need for more studies to focus on making PC services more accessible to URGs and providing culturally sensitive care to meet the needs of the diverse growing US population.

An epigenome-wide study of selenium status and DNA methylation in the Strong Heart Study

BackgroundSelenium (Se) is an essential nutrient linked to adverse health endpoints at low and high levels. The mechanisms behind these relationships remain unclear and there is a need to further understand the epigenetic impacts of Se and their relationship to disease. We investigated the association between urinary Se levels and DNA methylation (DNAm) in the Strong Heart Study (SHS), a prospective study of cardiovascular disease (CVD) among American Indians adults. MethodsSelenium concentrations were measured in urine (collected in 1989–1991) using inductively coupled plasma mass spectrometry among 1,357 participants free of CVD and diabetes. DNAm in whole blood was measured cross-sectionally using the Illumina MethylationEPIC BeadChip (850 K) Array. We used epigenome-wide robust linear regressions and elastic net to identify differentially methylated cytosine-guanine dinucleotide (CpG) sites associated with urinary Se levels. ResultsThe mean (standard deviation) urinary Se concentration was 51.8 (25.1) μg/g creatinine. Across 788,368 CpG sites, five differentially methylated positions (DMP) (hypermethylated: cg00163554, cg18212762, cg11270656, and hypomethylated: cg25194720, cg00886293) were significantly associated with Se in linear regressions after accounting for multiple comparisons (false discovery rate p-value: 0.10). The top hypermethylated DMP (cg00163554) was annotated to the Disco Interacting Protein 2 Homolog C (DIP2C) gene, which relates to transcription factor binding. Elastic net models selected 425 hypo- and hyper-methylated DMPs associated with urinary Se, including three sites (cg00163554 [DIP2C], cg18212762 [MAP4K2], cg11270656 [GPIHBP1]) identified in linear regressions. ConclusionsUrinary Se was associated with minimal changes in DNAm in adults from American Indian communities across the Southwest and the Great Plains in the United States, suggesting that other mechanisms may be driving health impacts. Future analyses should explore other mechanistic biomarkers in human populations, determine these relationships prospectively, and investigate the potential role of differentially methylated sites with disease endpoints.

Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment.

Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no "gold standard" for EMA study design to promote compliance. The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs. Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined. Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance. Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies. ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228.

Public awareness of rip currents among American adults

AbstractRip current awareness is essential for safety of the beach-going American public. In this study, we investigated American adults’ awareness of ocean safety via an online survey. A total of 1226 respondents participated in the survey. The results revealed that only 44% of the participants were aware that rip currents are the major cause of drownings in the United States. Most participants (64%) reported that the best way to escape a rip current was by swimming parallel (sideways) to the shore, while 8% reported it to be floating and letting the current carry one; further 3% of the respondents mentioned screaming for help as a rescue measure. Interestingly, while most of the respondents reported they could swim (71%), the number of White participants among swimmers was four times higher than that of their Asian, Black, American Indian, and Latino counterparts. Furthermore, less than half of the respondents (44%) reported reading and following the posted beach signs with safety information, while around one-fourth (23%) reported swimming near lifeguards. We also found a strong association between the respondents’ knowledge about how to escape a rip current and reading beach ocean safety signs. The findings of this study contribute to previous research on rip currents and may assist in developing more effective ocean safety interventions for the diverse American public visiting various marine environments along the vast U.S. coastline.

The impact of health disparities on peripheral vascular access outcomes in hospitalized patients: an observational study

BackgroundPlacement of peripheral intravenous catheters (PIVC) is a routine procedure in hospital settings. The primary objective is to explore the relationship between healthcare inequities and PIVC outcomes.MethodsThis study was a multicenter, observational analysis of adults with PIVC access established in the emergency department requiring inpatient admission between January 1st, 2021, and January 31st, 2023, in metro Detroit, Michigan, United States. Epidemiological, demographic, therapeutic, clinical, and outcomes data were collected. Health disparities were defined by the National Institute on Minority Health and Health Disparities. The primary outcome was the proportion of PIVC dwell time to hospitalization length of stay, expressed as the proportion of dwell time (hours) to hospital stay (hours) x 100%. Multivariable linear regression and a machine learning model were used for variable selection. Subsequently, a multivariate linear regression analysis was utilized to adjust for confounders and best estimate the true effect of each variable.ResultsBetween January 1st, 2021, and January 31st, 2023, our study analyzed 144,524 ED encounters, with an average patient age of 65.7 years and 53.4% female. Racial demographics showed 67.2% White, and 27.0% Black, with the remaining identifying as Asian, American Indian Alaska Native, or other races. The median proportion of PIVC dwell time to hospital length of stay was 0.88, with individuals identifying as Asian having the highest ratio (0.94) and Black individuals the lowest (0.82). Black females had a median dwell time to stay ratio of 0.76, significantly lower than White males at 0.93 (p < 0.001). After controlling for confounder variables, a multivariable linear regression demonstrated that Black males and White males had a 10.0% and 19.6% greater proportion of dwell to stay, respectively, compared to Black females (p < 0.001).ConclusionsBlack females face the highest risk of compromised PIVC functionality, resulting in approximately one full day of less reliable PIVC access than White males. To comprehensively address and rectify these disparities, further research is imperative to improve understanding of the clinical impact of healthcare inequities on PIVC access. Moreover, it is essential to formulate effective strategies to mitigate these disparities and ensure equitable healthcare outcomes for all individuals.

Validating ICD-10-CM Diagnostic Codes With Laboratory Test Results for Use in Identifying Chlamydial and Gonococcal Infections Among American Indians and Alaska Natives: Indian Health Service, 2016-2021.

National case rates of chlamydia and gonorrhea (CT/GC) among American Indian and Alaska Native (AI/AN) persons are disproportionately high. The Indian Health Service (IHS), which provides health care to members of federally recognized tribes, does not currently have a dedicated CT/GC surveillance system. The purpose of this study was to validate the use of CT/GC diagnostic codes for estimating diagnosed CT/GC infections among AI/AN persons who use IHS services. We conducted a retrospective study using IHS medical records from all persons 15 years and older from 2016 to 2021. We linked records with CT (A56, A74) and GC (A54, O98.2) International Classification of Diseases, 10th Revision, Clinical Modification diagnostic codes to laboratory results within 30 days for each person. We calculated the sensitivity, specificity, and positive and negative predictive values of CT/GC diagnostic codes using laboratory test results as the reference standard. We identified more than 1.6 million CT/GC laboratory tests, and 52,815 CT and 19,971 GC diagnostic codes. Diagnostic code sensitivity was slightly higher for CT (54%) than GC (50%). Specificity, positive predictive value, and negative predictive value were high for CT and GC (range, 83.3%-99.8%). About one-third of CT/GC diagnostic codes could not be linked to a test result. The validation indicates that diagnostic codes align well with linked laboratory test results. However, because of the relatively large number of diagnostic codes and positive test results that could not be linked, combining the 2 would inform more reliable estimates of diagnosed CT/GC infections among AI/AN persons who use IHS for health care.