non-Hispanic White Veterans Research Articles

Oncogenic Alterations, Race, and Survival in US Veterans with Metastatic Prostate Cancer Undergoing Somatic Tumor Next Generation Sequencing.

National guidelines recommend next generation sequencing (NGS) of tumors in patients diagnosed with metastatic prostate cancer (mPCa) to identify potential actionable alterations. We sought to describe the spectrum and frequency of alterations in PCa-related genes and pathways, as well as associations with self-identified race/ethnicity, and overall survival in US Veterans. This retrospective cohort study included Non-Hispanic Black (NHB) and Non-Hispanic white (NHW) Veterans with mPCa who obtained NGS through the Veterans Affairs National Precision Oncology Program. 45 genes in seven canonical or targetable mPCa pathways were evaluated in addition to TMB and MSI status. Multivariable logistic regression evaluated associations between race/ethnicity and genomic alteration frequencies. Cox proportional hazards models were used to determine associations between race/ethnicity, specific gene/pathway alteration, and overall survival. 5,015 Veterans with mPCa who had NGS conducted were included (1,784 NHB, 3,231 NHW). NHB Veterans were younger, had higher PSA at diagnosis, were less likely to report Agent Orange exposure, and resided in more deprived neighborhoods compared to NHW Veterans. Nine of the top ten most commonly altered genes were the same in NHB v NHW Veterans; however, the frequencies of alterations varied by race/ethnicity. NHB race/ethnicity was associated with higher odds of genomic alterations in SPOP (OR 1.7 [1.2-2.6]) as well as immunotherapy targets (OR 1.7 [1.1-2.7]) including MSI high status (OR 3.1 [1.1-9.4]). Furthermore, NHB race/ethnicity was significantly associated with lower odds of genomic alterations in the AKT/PI3K pathway (OR 0.6 [0.4-0.7]), AR axis (OR 0.7 [0.5-0.9]), and tumor suppressor genes (OR 0.7 [0.5-0.8]). Cox proportional hazards modelling stratified by race/ethnicity demonstrated alterations in tumor suppressor genes including TP53 were associated with shorter OS in both NHB (HR 1.54 [1.13-2.11] and NHW individuals (HR 1.52 [1.25-1.85]). In the equal access VA healthcare setting, Veterans undergoing NGS for mPCa exhibited differences in alteration frequencies in both actionable and non-actionable pathways that may be associated with survival. This analysis affirms the utility of genomic testing for identifying candidates irrespective of race/ethnicity for precision oncology treatments, which could contribute to equitable outcomes in patients with mPCa.

Trends in Racial and Ethnic Disparities in Early Glycemic Control Among Veterans Receiving Care in the Veterans Health Administration, 2008-2019.

Racial and ethnic disparities in glycemic control among non-Hispanic Black (NHB) and non-Hispanic White (NHW) veterans with type 2 diabetes (T2D) have been reported. This study examined trends in early glycemic control by race and ethnicity to understand how disparities soon after T2D diagnosis have changed between 2008 and 2019 among cohorts of U.S. veterans with newly diagnosed T2D. We estimated the annual percentage of early glycemic control(average A1C <7%) in the first 5 years after diagnosis among 837,023 veterans (95% male) with newly diagnosed T2D in primary care. We compared early glycemic controlby racial and ethnic group among cohorts defined by diagnosis year (2008-2010, 2011-2013, 2014-2016, and 2017-2018) using mixed-effects models with random intercepts. We estimated odds ratios of early glycemic controlcomparing racial and ethnic groups with NHW, adjusting for age, sex, and years since diagnosis. The average annual percentage of veterans who achieved early glycemic controlduring follow-up was 73%, 72%, 72%, and 76% across the four cohorts, respectively. All racial and ethnic groups were less likely to achieve early glycemic controlcompared with NHW veterans in the 2008-2010 cohort. In later cohorts, NHB and Hispanic veterans were more likely to achieve early glycemic control; however, Hispanic veterans were also more likely to have an A1C ≥9% within 5 years in all cohorts. Early glycemic controldisparities for non-Hispanic Asian, Native Hawaiian/Pacific Islander, and American Indian/Alaska Native veterans persisted in cohorts until the 2017-2018 cohort. Overall early glycemic controltrends among veterans with newly diagnosed T2D have been stable since 2008, but trends differed by racial and ethnic groups and disparities in very poor glycemic control were still observed. Efforts should continue to minimize disparities among racial and ethnic groups.

Assessing the Relationship Between Sleep Duration and the Prevalence of Chronic Kidney Disease Among Veterans in the United States: A 2022 Behavior Risk Factor Surveillance System (BRFSS) Cross-Sectional Study.

Chronic kidney disease (CKD) is more prevalent among veterans in the United States than in the general population. Similarly, veterans also exhibit higher rates of abnormal sleep duration compared to the general population. The aim of this study was to investigate the association between self-reported length of sleep and the prevalence of CKD among veterans in the United States using responses from the 2022 Behavioral Risk Factor Surveillance System (BRFSS). For this cross-sectional study, a total of 53,211 veterans who responded to the 2022 BRFSS survey were analyzed. Measures include the outcome variable which is self-reported CKD diagnosis and a major independent variable sleep duration. Sleep duration was recategorized into ≤ 5 hours (short sleep duration), 6-10 hours (normal sleep duration), and >10 hours (long sleep duration). Covariates included gender, age, race, residence, insurance, alcohol consumption, diabetes comorbidity, coronary artery disease (CAD) comorbidity, and stroke comorbidity. Descriptive, bivariate, and multivariate logistic regressions were conducted using the SAS software (SAS Institute Inc., Cary, North Carolina, United States). Results: The prevalence of CKD among veterans in the United States is 3332 (6.29%). Veterans with sleep duration of 6-10 hours had 17.5% lower odds of CKD than veterans who slept for ≤5 hours (adjusted OR (AOR)= 0.825, 95%CI= 0.821-0.830; P=<0.0001). Veterans who slept for more than 10 hours had 68.2% higher odds of having CKD (AOR=1.682, 95%CI= 1.662-1.702; P=<0.0001). Additionally, veterans diagnosed with diabetes, stroke, and coronary artery disease had 2.447-2.103, and 2.838, respectively, higher odds of developing CKD (AOR=2.447, 95%CI= 2.435-2.459; p=<0.0001). Veterans who were 65 years and older had higher odds of developing CKD compared to those aged 35-44 years (AOR= 5.743, 95%CI= 5.669-5.818; P<0.001). The odds of having CKD were also higher among veterans who identified as Black (AOR 1.397, 95%CI =1.388-1.405; P<0.01) or as Hispanic (AOR =1.318, 95%CI = 1.307-1.329; P<0.01) compared to non-Hispanic White veterans. Those who identified as Asian had lower odds of CKD (AOR= 0.87, 95%CI=0.853-0.888; P<0.01). Furthermore, veterans who consumed alcohol had 7.8% lower odds of having CKD as compared to individuals who did not consume alcohol (AOR= 0.922, 95%CI =0.918-0.927; p=<0.0001). Male veterans had 24.7% lower odds of having CKD as compared to female veterans (AOR = 0.753, 95%CI= 0.747-0.758; P<0.001). Conclusion: This research provides evidence of a greater prevalence of CKD among veterans with short sleep duration (≤ 5 hours) and long sleep duration (> 10 hours). Sleep hygiene education and sleep optimization programs can improve sleep and boost overall kidney health among veterans.

Evaluating equity in a national virtual care management intervention: Delivery and outcomes by race/ethnicity among Veterans with hypertension and diabetes.

To evaluate whether the Preventive Health Inventory (PHI)-a virtual care management intervention addressing hypertension and diabetes management implemented nationally in the Veterans Health Administration (VHA)-was delivered equitably among racial/ethnic groups and if existing inequities in hypertension and diabetes outcomes changed following PHI receipt. We used data from the VHA Corporate Data Warehouse among Veterans enrolled in primary care nationally from February 28, 2021 to March 31, 2022. We used logistic regression to evaluate PHI receipt and hypertension and diabetes outcomes after PHI implementation among Veterans with hypertension and/or diabetes. We conducted unadjusted analyses and analyses adjusting for clinic fixed effects using dummy variables. We identified Veterans engaged in primary care with documented race/ethnicity and hypertension and/or diabetes diagnoses in all months during the study period. Prior to PHI, Non-Hispanic Black (NHB) (42.2%) and Hispanic (39.5%) Veterans were less likely to have controlled hypertension vs. Non-Hispanic White (NHW) Veterans (47.5%); NHB Veterans (32.9%) were more likely to have uncontrolled diabetes vs. NHW Veterans (25.1%). Among 1,805,658 Veterans, 5.7% NHW (N = 68,744), 5.6% NHB (N = 22,580), 10.2% Hispanic (N = 13,313), 6.2% Asian/Pacific Islander/Native Hawaiian (N = 1868), 5.1% American Indian/Native Alaskan (N = 744), and 5.6% multiple races or other race (N = 1647) Veterans received PHI. We found no significant racial inequities in PHI receipt in unadjusted and adjusted models. Hypertension and diabetes measures improved more in the intervention group compared with the group who did not receive the intervention. There were no new or worsened inequities after PHI, and in pre-/post-intervention analysis, among NHB Veterans, the inequity in uncontrolled diabetes improved by 1.9 percentage points (95% CI 0.2, 3.6). Our findings suggest the PHI intervention was equitably deployed across race/ethnicity groups without significantly impacting most existing inequities in diabetes and hypertension.

Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study

IntroductionThe U.S. Veterans Health Administration has undertaken several initiatives to improve veterans' access to and retention on buprenorphine because it prevents overdose and reduces drug-related morbidity. We aimed to determine whether improvements in retention duration over time was equitable across veterans of different races and ethnicities. MethodsThis retrospective cohort study was conducted among veterans who initiated buprenorphine from federal fiscal years (FY) 2006 to 2020 after diagnosis of opioid use disorder. Using an accelerated failure time model, we estimated the association between time to buprenorphine discontinuation and FY of initiation, race and ethnicity, and other control covariates. We followed veterans from buprenorphine initiation until they discontinued or had a censoring event. We then estimated the predicted median days retained on buprenorphine, the average marginal effect of initiating in a later FY, the same measure by race and ethnicity, the incremental effect of the various racial and ethnic identities in contrast to non-Hispanic White, and the total change in the size of the gap over the 15 years of the study between veterans with a minoritized racial or ethnic identity compared to non-Hispanic White veterans. ResultsMost of the 31,797 veterans in the sample were non-Hispanic White (74.5 %), from urban areas (83.5 %), male (92.0 %), and had significant comorbidities, most frequently anxiety disorders (51.0 %) and depression (63.0 %). Overall, 49.8 % of veterans were retained at least 180 days. The average marginal effect of FY was 7.0 days [95%CI:5.3, 8.8] but was significantly smaller among veterans identifying as Black or African American [3.2 days; 95%CI:2.4, 4.1] or Asian [3.6 days; 95%CI:1.6, 5.7] compared to veterans who identify as non-Hispanic White [7.9 days; 95%CI:5.9, 9.9]. Additional measures of change were significant for veterans identifying as Hispanic White or with two or more races. ConclusionAlthough buprenorphine retention in OUD treatment improved for all veterans over the 15-year study period, veterans from most minoritized racial and ethnic groups fell further behind as gains in duration on therapy accrued primarily to non-Hispanic White veterans. Targeted interventions addressing specific challenges experienced by veterans with minoritized identities are needed to close gaps in retention on buprenorphine.

Demographic characteristics and epigenetic biological aging among post-9/11 veterans: Associations of DunedinPACE with sex, race, and age

Measures of epigenetic aging derived from DNA methylation (DNAm) have enabled the assessment of biological aging in new populations and cohorts. In the present study, we used an epigenetic measure of aging, DunedinPACE, to examine rates of aging across demographic groups in a sample of 2,309 United States military veterans from the VISN 6 MIRECC's Post-Deployment Mental Health Study. As assessed by DunedinPACE, female veterans were aging faster than male veterans (β = 0.39, 95 % CI [0.29, 0.48], p < .001), non-Hispanic Black veterans were aging faster than non-Hispanic White veterans (β = 0.58, 95 % CI [0.50, 0.66], p < .001), and older veterans were biologically aging faster than younger veterans (β = 0.21, 95 % CI [0.18, 0.25], p < .001). In secondary analyses, these differences in rates of aging were not explained by a variety of biopsychosocial covariates. In addition, the percentage of European genetic admixture in non-Hispanic Black veterans was not associated with DunedinPACE. Our findings suggest that female and non-Hispanic Black veterans are at greater risk of accelerated aging among post-9/11 veterans. Interventions that slow aging might provide relatively greater benefit among veterans comprising these at-risk groups.

Geographic, Patient, and VA Medical Center Variation in the Receipt and Mode of Primary Care in a National Sample of Veterans with Diabetes during 2020.

While telemedicine infrastructure was in place within the Veterans Health Administration (VHA) healthcare system before the onset of the COVID-19 pandemic, geographically varying ordinances/closures disrupted vital care for chronic disease patients such as those with type 2 diabetes. We created a national cohort of 1,647,158 non-Hispanic White, non-Hispanic Black, and Hispanic veterans with diabetes including patients with at least one primary care visit and HbA1c lab result between 3.5% and 20% in the fiscal year (FY) 2018 or 2019. For each VAMC, the proportion of telehealth visits in FY 2019 was calculated. Two logistic Bayesian spatial models were employed for in-person primary care or telehealth primary care in the fourth quarter of the FY 2020, with spatial random effects incorporated at the VA medical center (MC) catchment area level. Finally, we computed and mapped the posterior probability of receipt of primary care for an "average" patient within each catchment area. Non-Hispanic Black veterans and Hispanic veterans were less likely to receive in-person primary care but more likely to receive tele-primary care than non-Hispanic white veterans during the study period. Veterans living in the most socially vulnerable areas were more likely to receive telehealth primary care in the fourth quarter of FY 2020 compared to the least socially vulnerable group but were less likely to receive in-person care. In summary, racial minorities and those in the most socially vulnerable areas were less likely to receive in-person primary care but more likely to receive telehealth primary care, potentially indicating a disparity in the impact of the pandemic across these groups.

Do Hispanic Puerto Rican men have worse outcomes after radical prostatectomy? Results from SEARCH.

We previously reported that outcomes after radical prostatectomy (RP) were similar among non-Hispanic Black, non-Hispanic White, and Hispanic White Veterans Affairs (VA) patients. However, prostate cancer (PC) mortality in Puerto Rican Hispanics (PRH) may be higher than in other Hispanic groups. Data focused on PRH patients is sparse; thus, we tested the association between PR ethnicity and outcomes after RP. Analysis included men in SEARCH cohort who underwent RP (1988-2020, n = 8311). PRH patients (n = 642) were treated at the PR VA, and outcomes were compared to patients treated in the Continental US regardless of race. Logistic regression was used to test the associations between PRH and PC aggressiveness, adjusting for demographic and clinicopathological features. Multivariable Cox models were used to investigate PRH versus Continental differences in biochemical recurrence (BCR), metastases, castration-resistant PC (CRPC), and PC-specific mortality (PCSM). Compared to Continental patients, PRH patients had lower adjusted odds of pathological grade group ≥2 (p < 0.001), lymph node metastasis (p < 0.001), and positive margins (p < 0.001). In contrast, PRH patients had higher odds of extracapsular extension (p < 0.001). In Cox models, PRH patients had a higher risk for BCR (HR = 1.27, p < 0.001), metastases (HR = 1.49, p = 0.014), CRPC (HR = 1.80, p = 0.001), and PCSM (HR = 1.74, p = 0.011). Further adjustment for extracapsular extension and other pathological variables strengthened these findings. In an equal access setting, PRH RP patients generally had better pathological features, but despite this, they had significantly worse post-treatment outcomes than men from the Continental US, regardless of race. The reasons for the poorer prognosis among PRH men require further research.

Post Service Labor Market Performance of Immigrant Veterans

ABSTRACTMy research examines the labor market performance of prime-age (20-54) male immigrant veterans in the all-volunteer era, using the American Community Survey (2010-2019) and a linear regression model. I compare them with two reference groups: U.S.-born male veterans and non-veteran male immigrants. Immigrant veterans show higher labor force participation and employment rates compared to U.S.-born veterans. Conversely, when compared to non-veteran immigrants, the trend is reversed. Overall, no statistically significant disparities are found in labor income and wage analysis. However, heterogeneous effects emerge based on education level, race, and birthplace. Immigrant veterans earn less income compared to U.S.-born veterans in the non-Hispanic White group, while no significant differences are observed in other races. Furthermore, compared to non-veteran immigrants, Hispanic/Latino and non-Hispanic Black immigrant veterans have higher labor incomes or wages, especially for those with a high school education as their highest level of attainment. In contrast, non-Hispanic White immigrant veterans earn less, particularly among individuals with a college education. Additionally, immigrant veterans from developed countries have lower incomes and wages compared to their non-veteran counterparts, whereas no such disadvantage is observed for immigrants from developing countries. These findings suggest potential advantages associated with military service in minority groups.

Prevalence andCorrelates ofCannabis Use among U.S. Veterans during the Second Wave ofthe COVID-19 Pandemic.

Military veterans are at increased risk of substance use disorders. Limited research is available about veterans' cannabis use (CU) during the coronavirus disease 2019 (COVID-19) pandemic. This study estimated the prevalence of past 30-day CU, investigated individual-level correlates of past 30-day CU, and evaluated the reasons (medical, recreational, or both) of past 30-day CU among U.S. Veterans during the second wave of the COVID-19 pandemic. We used population-based, cross-sectional data from the 2021 Behavioral Risk Factor Surveillance System Survey Marijuana Use model. The sample included nationally representative military veterans aged 18+ years (n = 11,167). The outcome was past 30-day CU. Individual-level demographic, socioeconomic, behavioral, and clinical correlates were examined. Analyses were weighted to account for the survey's complex design with results generalizable to nearly 2.9 million veterans. We conducted weighted descriptive statistics, prevalence estimates, and multivariable logistic regression analyses. Out of 2.9 million veterans, 11.1% self-reported as non-Hispanic Black, 3.7% Hispanic, and 79.1% non-Hispanic White; 88.5% were men, and 72.8% were aged 50+ years. About 14.6% were current tobacco smokers, 4.7% were current e-cigarette users, 12.5% were binge alcohol drinkers, and 43.4% had three or more comorbid conditions. Overall, 8.5% reported CU in the past 30 days, of which 30.4% used it for medical reasons and 25.8% used it for nonmedical reasons. The prevalence of past 30-day CU decreased with age, education, and income level. Compared to their counterparts, the odds of past 30-day CU were greater among men, those living in urban areas, those with frequent mental distress, infrequent physical distress, and those who had at least one comorbid condition. Non-Hispanic Black veterans had 89% increased odds of past 30-day CU (adjusted odds ratio [AOR] =1.89, 95% confidence interval [CI], 1.19-3.0) compared with non-Hispanic White veterans. Current tobacco smokers had 3.54 (95% CI, 2.40-5.24) and former smokers had 1.78 (95% CI, 1.28-2.47) times higher odds of reporting past 30-day CU than never smokers. Current e-cigarette use (AOR = 3.37, 95% CI, 2.20-5.16) and binge drinking (AOR = 3.18, 95% CI, 2.29-4.41) were also statistically significantly associated with increased odds of past 30-day CU compared to no e-cigarette use and no binge drinking. CU is prevalent among veterans, and certain subgroups are at higher risk of CU. Thus, identifying high-risk subgroups of veterans and adequately educating them about CU's benefits, risks, and safety is crucial.

VA family service access and utilization in a national sample of veterans.

Relationship and family difficulties are common experiences for military veterans, who are able to access family services (i.e., couple and family therapy) through the Veterans Affairs (VA) Healthcare System. This study examines demographic, mental health, military, and referral source variables associated with referral to and utilization of family services using a large national VA dataset of 22,969 veterans who were referred to couple or family therapy from 2016 to 2019. Of those referred, 44.39% had a completed referral; among those who initiated therapy, 31.11% attended five or more sessions. Logistic regression was used to evaluate predictors of completed referrals and of attending five or more sessions of couple or family therapy. Veterans identifying as Black/African American, American Indian or Alaska Native were less likely to have a completed referral than non-Hispanic White veterans; moreover, veterans identifying as Black/African American or Hispanic were less likely to attend five or more sessions. Lower likelihood of a completed referral was also associated with rural county residence, being separated, post-9/11 service era, a substance use disorder diagnosis, and being referred by a psychiatrist, neurologist, physician, or nursing staff rather than a psychologist. Lower likelihood of attending five or more sessions was associated with a delay of 22 or more days to intake, an adjustment disorder diagnosis, and being referred from VA specialty care, or by a psychiatrist or neurologist. These findings may help inform efforts for outreach and service retention within VA family services in order to ensure equity in access to care and healthcare utilization. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Racial and Ethnic Variation in Complementary and Integrative Health Therapy Use Among US Veterans

White individuals are the greatest users of complementary and integrative health (CIH) therapies in the general population, but this might partially be due to differences in age, health condition, and location. Identifying the nuances in racial and ethnic differences in care is one important step to addressing them. To evaluate racial and ethnic differences in Veterans Affairs (VA)-covered CIH therapy use in a more nuanced manner by examining the association of 5 demographic characteristics, health conditions, and medical facility locations with those differences. Retrospective cross-sectional observational study of VA health care system users, using electronic health record and administrative data at all VA medical facilities and community-based clinics. Participants included veterans with nonmissing race and ethnicity data using VA-funded health care between October 2018 and September 2019. Data were analyzed from June 2022 to April 2023. Any use of VA-covered acupuncture, chiropractic care, massage therapy, yoga, or meditation/mindfulness. The sample consisted of 5 260 807 veterans with a mean (SD) age of 62.3 (16.4) years and was 91% male (4 788 267 veterans), 67% non-Hispanic White (3 547 140 veterans), 6% Hispanic (328 396 veterans), and 17% Black (903 699 veterans). Chiropractic care was the most used CIH therapy among non-Hispanic White veterans, Hispanic veterans, and veterans of other races and ethnicities, while acupuncture was the most commonly used therapy among Black veterans. When not accounting for the location of the VA medical facilities in which veterans used health care, Black veterans appeared more likely to use yoga and meditation than non-Hispanic White veterans and far less likely to use chiropractic care, while those of Hispanic or other race and ethnicity appeared more likely to use massage than non-Hispanic White veterans. However, those differences mostly disappeared once controlling for medical facility location, with few exceptions-after adjustment Black veterans were less likely than non-Hispanic White veterans to use yoga and more likely to use chiropractic care. This large-scale, cross-sectional study found racial and ethnic differences in use of 4 of 5 CIH therapies among VA health care system users when not considering their medical facility location. Given those differences mostly disappeared once medical facilities were accounted for, the results demonstrated the importance of considering facilities and residential locations when examining racial differences in CIH therapy use. Medical facilities could be a proxy for the racial and ethnic composition of their patients, CIH therapy availability, regional patient or clinician attitudes, or therapy availability.

Opioid and High-Risk Prescribing Among Racial and Ethnic Minority Veterans

The purpose of this study is to compare opioid prescribing and high-risk prescribing by race and ethnicity in a national cohort of U.S. veterans. A cross-sectional analysis of veteran characteristics and healthcare use was performed on electronic health record data for 2018 Veterans Health Administration users and enrollees in 2022. Overall, 14.8% received an opioid prescription. The adjusted odds of being prescribed an opioid were lower for all race/ethnicity groups than for non-Hispanic White veterans, except for non-Hispanic multiracial (AOR=1.03; 95% CI=0.999, 1.05) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=1.03, 1.09) veterans. The odds of any day of overlapping opioid prescriptions (i.e., opioid overlap) were lower for all race/ethnicity groups than for the non-Hispanic White group, except for the non-Hispanic American Indian/Alaska Native group (AOR=1.01; 95% CI=0.96, 1.07). Similarly, all race/ethnicity groups had lower odds of any day of daily dose >120 morphine milligram equivalents than the non-Hispanic White group, except for the non-Hispanic multiracial (AOR=0.96; 95% CI=0.87, 1.07) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=0.96, 1.17) groups. Non-Hispanic Asian veterans had the lowest odds for any day of opioid overlap (AOR=0.54; 95% CI=0.50, 0.57) and daily dose >120 morphine milligram equivalents (AOR=0.43; 95% CI=0.36, 0.52). For any day of opioid-benzodiazepine overlap, all races/ethnicities had lower odds than non-Hispanic White. Non-Hispanic Black/African American (AOR=0.71; 95% CI=0.70, 0.72) and non-Hispanic Asian (AOR=0.73; 95% CI=0.68, 0.77) veterans had the lowest odds of any day of opioid-benzodiazepine overlap. Non-Hispanic White and non-Hispanic American Indian/Alaska Native veterans had the greatest likelihood to receive an opioid prescription. When an opioid was prescribed, high-risk prescribing was more common in White and American Indian/Alaska Native veterans than in all other racial/ethnic groups. As the nation's largest integrated healthcare system, the Veterans Health Administration can develop and test interventions to achieve health equity for patients experiencing pain.

Impact of Race and Ethnicity on Severe Hypoglycemia Associated with Sulfonylurea Use for Type 2 Diabetes among Veterans.

Sulfonylureas are associated with hypoglycemia. Whether a racial/ethnic disparity in this safety outcome exists is unknown. We sought to assess the impact of race/ethnicity on severe hypoglycemia associated with sulfonylurea use for type 2 diabetes (T2D). Using Veterans Affairs and Medicare data, Veterans initially receiving metformin monotherapy for T2D between 2004 and 2006 were identified. Sulfonylurea use (either alone or via the addition of a prescription for a sulfonylurea to metformin) was captured and compared to remaining on metformin alone during the follow-up period (2007-2016). Hazard ratios (HR) and 95% confidence intervals (CI) from longitudinal competing risk Cox models were used to measure the association between sulfonylurea use and severe hypoglycemia defined as hospitalization for hypoglycemia. A total of 113,668 Veterans with T2D were included. A higher risk of severe hypoglycemia was associated with the receipt of sulfonylurea prescriptions versus remaining on metformin alone across all groups. The effect was largest among Hispanic Veterans (HR: 7.59, 95%CI:4.32-13.33), followed by Veterans in the other race/ethnicity cohort (HR: 4.57, 95%CI:2.50-8.36) and Non-Hispanic Black Veterans (HR: 3.67, 95%CI:2.78-4.85). The effect was smallest among Non-Hispanic White Veterans (HR: 3.11, 95%CI:2.77-3.48). In conclusion, a higher risk of severe hypoglycemia associated with sulfonylurea prescriptions was observed across all analyses. The relationship was most pronounced for Hispanic Veterans, who had nearly 8 times the risk of severe hypoglycemia with sulfonylureas versus remaining on metformin alone.

Racial, Ethnic, and Rural Disparities in U.S. Veteran COVID-19 Vaccine Rates

Race, ethnicity, and rurality-related disparities in coronavirus disease 2019 (COVID-19) vaccine uptake have been documented in the United States (US). We determined whether these disparities existed among patients at the Department of Veterans Affairs (VA), the largest healthcare system in the US. Using VA Corporate Data Warehouse data, we included 5,871,438 patients (9.4% women) with at least one primary care visit in 2019 in a retrospective cohort study. Each patient was assigned a single race/ethnicity, which were mutually exclusive, self-reported categories. Rurality was based on 2019 home address at the zip code level. Our primary outcome was time-to-first COVID-19 vaccination between December 15, 2020-June 15, 2021. Additional covariates included age (in years), sex, geographic region (North Atlantic, Midwest, Southeast, Pacific, Continental), smoking status (current, former, never), Charlson Comorbidity Index (based on ≥1 inpatient or two outpatient ICD codes), service connection (any/none, using standardized VA-cutoffs for disability compensation), and influenza vaccination in 2019-2020 (yes/no). Compared with unvaccinated patients, those vaccinated (n=3,238,532; 55.2%) were older (mean age in years vaccinated=66.3, (standard deviation=14.4) vs. unvaccinated=57.7, (18.0), p<.0001)). They were more likely to identify as Black (18.2% vs. 16.1%, p<.0001), Hispanic (7.0% vs. 6.6% p<.0001), or Asian American/Pacific Islander (AA/PI) (2.0% vs. 1.7%, P<.0001). In addition, they were more likely to reside in urban settings (68.0% vs. 62.8, p<.0001). Relative to non-Hispanic White urban Veterans, the reference group for race/ethnicity-urban/rural hazard ratios reported, all urban race/ethnicity groups were associated with increased likelihood for vaccination except American Indian/Alaskan Native (AI/AN) groups. Urban Black groups were 12% more likely (Hazard Ratio (HR)=1.12 [CI 1.12-1.13]) and rural Black groups were 6% more likely to receive a first vaccination (HR=1.06 [1.05-1.06]) relative to white urban groups. Urban Hispanic, AA/PI and Mixed groups were more likely to receive vaccination while rural members of these groups were less likely (Hispanic: Urban HR=1.17 [1.16-1.18], Rural HR=0.98 [0.97-0.99]; AA/PI: Urban HR=1.22 [1.21-1.23], Rural HR=0.86 [0.84-0.88]). Rural White Veterans were 21% less likely to receive an initial vaccine compared with urban White Veterans (HR=0.79 [0.78-0.79]). AI/AN groups were less likely to receive vaccination regardless of rurality: Urban HR=0.93 [0.91-0.95]; AI/AN-Rural HR=0.76 [0.74-0.78]. Urban Black, Hispanic, and AA/PI Veterans were more likely than their urban White counterparts to receive a first vaccination; all rural race/ethnicity groups except Black patients had lower likelihood for vaccination compared with urban White patients. A better understanding of disparities and rural outreach will inform equitable vaccine distribution.

Prevalence and socio-economic determinates of food insecurity in Veterans: findings from National Health and Nutrition Examination Survey.

To determine predictors of the association between being a Veteran and adult food security, as well as to examine the relation of potential covariates to this relationship. Data collected during 2011-2012, 2013-2014 and 2015-2016 National Health and Nutrition Examination Survey (NHANES) were pooled for analyses. Veterans (self-reported) were matched to non-Veterans on age, race/ethnicity, sex and education. Adjusted logistic regression was used to determine the odds of Veterans having high food security v. the combination of marginal, low and very low food security compared with non-Veterans. 2011-2012, 2013-2014 and 2015-2016 NHANES. 1227 Veterans; 2432 non-Veterans. Veteran status had no effect on the proportion of food insecurities between Veterans and non-Veterans reporting high (Veterans v. non-Veteran: 79 % v. 80 %), marginal (9 % v. 8 %), low (5 % v. 6 %) and very low (8 % v. 6 %) food security (P = 0·11). However, after controlling for covariates, Veterans tended to be less likely to have high food security (OR: 0·82 (95 % CI 0·66, 1·02), P = 0·07). Further, non-Hispanic White Veterans (OR: 0·72 (95 % CI 0·55, 0·95), P = 0·02) and Veterans completing some college (OR: 0·71 (95 % CI 0·50, 0·99), P < 0·05) were significantly less likely to experience high food security compared with non-Veterans. This study supports previous research findings that after controlling for covariates, Veterans tend to be less likely to have high food security. It also highlights ethnicity and level of education as important socio-economic determinates of food security status in Veterans.

Inclusion of Race and Ethnicity With Neighborhood Socioeconomic Deprivation When Assessing COVID-19 Hospitalization Risk Among California Veterans Health Administration Users

Despite complexities of racial and ethnic residential segregation (hereinafter referred to as segregation) and neighborhood socioeconomic deprivation, public health studies, including those on COVID-19 racial and ethnic disparities, often rely on composite neighborhood indices that do not account for residential segregation. To examine the associations by race and ethnicity among California's Healthy Places Index (HPI), Black and Hispanic segregation, Social Vulnerability Index (SVI), and COVID-19-related hospitalization. This cohort study included veterans with positive test results for COVID-19 living in California who used Veterans Health Administration services between March 1, 2020, and October 31, 2021. Rates of COVID-19-related hospitalization among veterans with COVID-19. The sample available for analysis included 19 495 veterans with COVID-19 (mean [SD] age, 57.21 [17.68] years), of whom 91.0% were men, 27.7% were Hispanic, 16.1% were non-Hispanic Black, and 45.0% were non-Hispanic White. For Black veterans, living in lower-HPI (ie, less healthy) neighborhoods was associated with higher rates of hospitalization (odds ratio [OR], 1.07 [95% CI, 1.03-1.12]), even after accounting for Black segregation (OR, 1.06 [95% CI, 1.02-1.11]). Among Hispanic veterans, living in lower-HPI neighborhoods was not associated with hospitalization with (OR, 1.04 [95% CI, 0.99-1.09]) and without (OR, 1.03 [95% CI, 1.00-1.08]) Hispanic segregation adjustment. For non-Hispanic White veterans, lower HPI was associated with more frequent hospitalization (OR, 1.03 [95% CI, 1.00-1.06]). The HPI was no longer associated with hospitalization after accounting for Black (OR, 1.02 [95% CI, 0.99-1.05]) or Hispanic (OR, 0.98 [95% CI, 0.95-1.02]) segregation. Hospitalization was higher for White (OR, 4.42 [95% CI, 1.62-12.08]) and Hispanic (OR, 2.90 [95% CI, 1.02-8.23]) veterans living in neighborhoods with greater Black segregation and for White veterans in more Hispanic-segregated neighborhoods (OR, 2.81 [95% CI, 1.96-4.03]), adjusting for HPI. Living in higher SVI (ie, more vulnerable) neighborhoods was associated with greater hospitalization for Black (OR, 1.06 [95% CI, 1.02-1.10]) and non-Hispanic White (OR, 1.04 [95% CI, 1.01-1.06]) veterans. In this cohort study of US veterans with COVID-19, HPI captured neighborhood-level risk for COVID-19-related hospitalization for Black, Hispanic, and White veterans comparably with SVI. These findings have implications for the use of HPI and other composite neighborhood deprivation indices that do not explicitly account for segregation. Understanding associations between place and health requires ensuring composite measures accurately account for multiple aspects of neighborhood deprivation and, importantly, variation by race and ethnicity.

A scoping review of veteran suicide prevention programs in Native American communities and in the general population.

Suicide is a major public health problem that disproportionately impacts veterans in the general U.S. population. Recent analyses indicate that American Indian and Alaska Native (AI/AN) veterans may be two to three times as likely as non-Hispanic White veterans to experience suicidal ideation. Although suicide prevention programs have been successfully implemented for many at-risk populations, to our knowledge, none have been designed or implemented for AI/AN veterans. To address this gap, we conducted a scoping review of suicide prevention programs with the objective of identifying promising strategies and lessons learned to identify promising practices for preventing suicide among AI/AN veterans. We conducted two parallel literature searches-a review of suicide prevention programs for the general U.S. adult population and AI/AN communities. We rated programs on 16 criteria, covering five domains-best practices in suicide prevention, U.S. Department of Veterans Affairs (VA) Office of Rural Health Promising Practice criteria, cultural fit, care coordination, and outcomes. Our findings indicate that many of the VA evidence-based or best practice programs are available system-wide, but none have been tailored for AI/AN veterans or the communities in which they live. Conversely, we found that many culturally specific programs implemented in AI/AN communities were rarely disseminated beyond tribal land and none were specifically developed for veterans. Based upon these findings, and to advance suicide prevention programs for AI/AN veterans, we propose a suicide prevention model that builds upon existing VA infrastructure to disseminate best practices to AI/AN communities and integrate tribal-specific cultural approaches to suicide prevention. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Racial and ethnic disparities in excess mortality among U.S. veterans during the COVID-19 pandemic.

The COVID-19 pandemic disproportionately affected racial and ethnic minorities among the general population in the United States; however, little is known regarding its impact on U.S. military Veterans. In this study, our objectives were to identify the extent to which Veterans experienced increased all-cause mortality during the COVID-19 pandemic, stratified by race and ethnicity. Administrative data from the Veterans Health Administration's Corporate Data Warehouse. We use pre-pandemic data to estimate mortality risk models using five-fold cross-validation and quasi-Poisson regression. Models were stratified by a combined race-ethnicity variable and included controls for major comorbidities, demographic characteristics, and county fixed effects. We queried data for all Veterans residing in the 50 states plus Washington D.C. during 2016-2020. Veterans were excluded from analyses if they were missing county of residence or race-ethnicity data. Data were then aggregated to the county-year level and stratified by race-ethnicity. Overall, Veterans' mortality rates were 16% above normal during March-December 2020 which equates to 42,348 excess deaths. However, there was substantial variation by racial and ethnic group. Non-Hispanic White Veterans experienced the smallest relative increase in mortality (17%, 95% CI 11%-24%), while Native American Veterans had the highest increase (40%, 95% CI 17%-73%). Black Veterans (32%, 95% CI 27%-39%) and Hispanic Veterans (26%, 95% CI 17%-36%) had somewhat lower excess mortality, although these changeswere significantly higher compared to White Veterans. Disparities were smaller than in the general population. Minoritized Veterans experienced higher rates excess of mortality during the COVID-19 pandemic compared to White Veterans, though with smaller differences than the general population. This is likely due in part to the long-standing history of structural racism in the United States that has negatively affected the health of minoritized communities via several pathways including health care access, economic, and occupational inequities.

Telemedicine Utilization Among Patients With Multiple Sclerosis in the US Veterans Health Administration, 2010-2020.

Telemedicine may help to bridge the specialty care access gap for patients with MS (PwMS) restricted by distance or disability. The objective of this study is to assess the frequency and longitudinal patterns of telemedicine utilization among PwMS and controls. We conducted a population-based nested case-control study within the Veterans Health Administration (VHA) from January 1, 2010, to December 31, 2020. MS cases and controls were individually matched on sex, age, and Veterans Affair (VA) service region (Veterans Integrated Service Network). MS case and control participants sample sizes by year included 2010: 19,387/86,379; 2016: 19,752/88,535; and 2020: 16,451/78,315. Telemedicine encounter codes were used to identify telemedicine utilization among MS cases and controls in the VHA for 2010, 2016, and 2020. Telemedicine encounters were categorized according to mode (video, phone, and supplementary remote) and type of care provided. Patients in the VHA have had increasing utilization of telemedicine over the past decade. Among PwMS, mean telemedicine encounters increased steadily from 2010 to 2020 (5.6-10.5 encounters/patient, respectively). Across all years, MS cases were significantly more likely than controls to use telemedicine. The odds ratios (ORs) (95% confidence interval [CI]) of any telemedicine utilization comparing MS cases with controls in 2010, 2016, and 2020, respectively, were 1.5 (CI: 1.3-1.5), 1.9 (CI: 1.8-2.0), and 1.7 (CI: 1.6-1.8). Compared with non-Hispanic White veterans, non-Hispanic Black veterans were more likely to use telemedicine (adjusted OR = 1.5; [CI: 1.40-1.60]). The most common and least common modes of telemedicine among cases and controls were telephone and supplementary remote, respectively. Comparing 2010 with 2020, the largest increases in telemedicine utilization exhibited among MS cases were among primary care, specialty care, specialty neurology care, and other types of health care. States with the highest increases in telemedicine utilization were AL, CA, CO, FL, GA, KS, IL, NY, and SC. PwMS tended to live in counties with more adverse social determinants of health compared with controls. PwMS were significantly more likely to use telemedicine than their matched controls. There were significant increases in telemedicine utilization between 2010 and 2020. The VHA has a robust telemedicine system of care that has grown to supplement in person care more so than other US health care systems. Future work is needed to assess the determinants of telemedicine utilization.