Racial/Ethnic Disparities in Mortality Across the Veterans Health Administration

Socioeconomic Status Based on Area Deprivation Index Does Not Affect Postoperative Outcomes in Patients Undergoing Endovascular Aortic Aneurysm Repair in the VA Healthcare System

INTRODUCTION

Living conditions and socioeconomic status are known to impact individual health and access to medical care. Prior research has validated the Area Deprivation Index (ADI) tool as a measure of socioeconomic disadvantage for a given locality. Living in a neighborhood with a higher ADI score has been associated with increased rates of hospital readmission due to complications following surgery. We set forth to identify the possible associations between a patient's ADI score and post-operative endovascular aneurysm repair (EVAR) outcomes in the Veterans Health Care Administration (VHA).

METHODS

We retrospectively analyzed the outcomes of patients who underwent EVAR from January 2010 to December 2021 at a Level 1A VHA Hospital. Patient demographics and intra-operative variables were obtained. ADI score was calculated based on home addresses and resulted in a local score on a scale of 1-10 and a national percentile on a scale of 1-100. We then further stratified these patients into local and national quintile groups. Local ADI 1 included scores of 1-2, and local ADI 5 included scores of 9-10. National ADI 1 comprised scores 1-20, and national ADI 5 scored 81-100. The other scores were equally divided into ADI 2, 3, and 4. Higher ADI scores were associated with lower socioeconomic status. We identified clinical outcomes, including wound infection, respiratory failure, urinary tract infection, acute kidney injury, limb stenosis, readmission, length of stay, and subsequent re-intervention rates.

RESULTS

241 patients underwent EVAR over the time period examined. 57.3% (n=138) of patients were in quintiles 4 and 5 for local ADI; when national ADI percentiles organized these same patients, 47.3% (n=114) were in quintiles 4 and 5. Patient demographics did not vary between the local and national groups. We saw no statistically significant difference in intra-operative variables, postoperative complications, readmission, loss to follow-up, or 1-year mortality rates across ADI quintiles at the local or national level. Binary Logistic Regression showed no statistical significance for local and national ADI quintiles for hospital readmission and overall postoperative complications.

CONCLUSION

We found that there was no statistical significance between hospital readmission rates or worse surgical outcomes across local and national ADI quintiles. This suggests that the VHA resources and multidisciplinary support may improve care across neighborhoods. This comprehensive care provided at VHA may mitigate post-operative complications in patients undergoing EVARs. Further research is warranted to investigate the role of area deprivation in healthcare and EVAR outcomes in a veteran population.

Relationship between health system quality and racial and ethnic equity in diabetes care

Failing to consider disparities in quality measures, such as by race and ethnicity, may obscure inequities in care, which could exist in facilities with overall high-quality ratings. We examined the relationship between overall quality and racial and ethnic disparities in diabetes care quality by health care facility-level performance on a diabetes-related quality measure within a national dataset of veterans using Veterans Health Administration (VA) ambulatory care between March 1, 2020 and Feburary 28, 2021, and were eligible for diabetes quality assessment. We found racial and ethnic disparities in diabetes care quality existed in top-performing VA medical centers (VAMCs) among American Indian or Alaska Native (AIAN) (predicted probability = 30%), Black (predicted probability = 29%), and Hispanic VA-users (predicted probability = 30%) vs White VA-users (predicted probability = 26%). While disparities among Black and Hispanic VA-users were similar relative to White VA-users across VAMCs at all performance levels, disparities were exacerbated for AIAN and Native Hawaiian or Other Pacific Islander VA-users in bottom-performing VAMCs. Equity remains an issue even in facilities providing overall high-quality care. Integrating equity as a component of quality measures can incentivize greater focus on equity in quality improvement.

Health Conditions and Treatment Utilization Among Older Male Veterans Incarcerated in Prisons

BACKGROUND

More than 50,000 older male veterans incarcerated in prisons are expected to return to their communities and utilize the Veterans Health Administration (VHA) and community healthcare systems. To support the continuity of healthcare and overall successful community reentry of older incarcerated veterans, an understanding of their health profiles and treatment utilization while in correctional care is needed.

OBJECTIVE

To assess the health status of older male veterans incarcerated in state prisons and explore demographic, military, and VHA-related factors associated with medical conditions, disabilities, behavioral conditions, and medical and behavioral treatment utilization.

DESIGN/PARTICIPANTS

Cross-sectional observational study of 880 male veterans aged 50 + incarcerated in state prisons using data from the 2016 Bureau of Justice Statistics Survey of Prison Inmates.

MAIN MEASURES

Veteran status, self-report health status, and treatment utilization since prison admission. Prevalence rates for conditions and treatment utilization were calculated. Logistic regression models were used to examine the association of characteristics with conditions and treatment utilization.

KEY RESULTS

Among the 880 older male veterans in state prisons, the majority reported having a current medical condition (79.3%) or disability (61.6%), almost half had history of a mental health condition (44.5%), and more than a quarter (29%) had a substance use disorder. Compared to White veterans, Black veterans were less likely to report a disability or mental health condition. Few demographic, military, and VA-related characteristics were associated with medical or behavioral conditions or treatment utilization.

CONCLUSION

Our results suggest that the VHA and community healthcare systems need to be prepared to address medical and disability conditions among the majority of older male veterans who will be leaving prison and returning to their communities. Integrated medical and behavioral healthcare delivery models may be especially important for these veterans as many did not receive behavioral health treatment while in prison.

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.

Relationships among race, ethnicity, and gender and whole health among U.S. veterans

Racial, ethnic, and gender health care disparities in the United States are well-documented and stretch across the lifespan. Even in large integrated health care systems such as Veteran Health Administration, which are designed to provide equality in care, social and economic disparities persist, and limit patients' achievement of health goals across multiple domains. We explore Veterans' Whole Health priorities among Veteran demographic groups. Participants who were enrolling in Veteran Health Administration provided demographics and Whole Health priorities using eScreening, a web-based self-assessment tool. Veterans had similar health care goals regardless of demographic characteristics but differences were noted in current health appraisals. Non-White and women Veterans reported worse health-relevant functioning. Black Veterans were more likely to endorse a low rating for their personal development/relationships. Multiracial Veterans were more likely to endorse a low rating of their surroundings. Asian Veterans were less likely to provide a high rating of their surroundings. Women Veterans reported lower appraisals for body and personal development but higher appraisals of professional care. Results indicated that demographic factors such as race and gender, and to a lesser extent ethnicity, were associated with health disparities. The Whole Health model provides a holistic framework for addressing these disparities. These findings may inform more culturally sensitive care and enhance Veteran Health Administration equal access initiatives. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comparison of Racial and Ethnic Mortality Disparities among Post-9/11 Veterans with and without Traumatic Brain Injury to the Total U.S. Adult Population

INTRODUCTION

The extent of racial/ethnic disparities and whether they are attenuated in the Veteran population compared to the total US population is not well understood. We aimed to assess racial/ethnic mortality disparities from all-cause, cardiovascular (CVD) and cancer among post-9/11 military Veterans with and without exposure to TBI, compared to the total US population.

METHODS

This cohort study included 2,502,101 US military Veterans (18,932,083 person-years) who served after 09/11/2001 with 3 or more years of care in the Military Health System (MHS); or had 3 or more years of care in the MHS and 2 or more years of care in the Veterans Health Administration. Mortality follow-up occurred from 01/01/2002 to 12/31/2020. Mortality rate ratios (MRR) from negative binomial regression models were reported for racial/ethnic groups compared to White non-Hispanic Veterans for all-cause, CVD and cancer mortality. Veteran MRR were compared to the total US population.

RESULTS

Mortality rates for Black Non-Hispanic Veterans were higher for all-cause (MRR = 1.21;95%CI: 1.13-1.29; p < 0.001), CVD (MRR = 1.78;95%CI: 1.62-1.96; p < 0.001) and cancer (MRR = 1.17;95%CI: 1.10-1.25; p < 0.001) than in White Non-Hispanic Veterans. Among Veterans with TBI, only Black Non-Hispanics had higher mortality than White Non-Hispanics and only for CVD (MRR = 1.32;95%CI: 1.12-1.54; p < 0.001), while CVD mortality was higher among Veterans without TBI (MRR = 1.77;95%CI: 1.63-1.93;p < 0.001). MRR for Black Non-Hispanics in the total US population, were consistently higher than those in the Veteran population for all-cause (MRR = 1.52;95%CI: 1.46-1.58; p < 0.001), CVD (MRR = 2.03;95%CI: 1.95-2.13; p < 0.001) and cancer (MRR = 1.26;95%CI: 1.22-1.30; p < 0.001).

CONCLUSION

This Veteran cohort experienced less racial/ethnic disparity in mortality than the total US population, especially among Veterans with TBI.

Individual Risk Factors of PM2.5 Associated With Wintertime Mortality in Urban Patients With COPD

BACKGROUND

Air pollution contributes to premature mortality, but potential impacts differ in populations with existing disease, particularly for individuals with multiple risk factors. Although COPD increases vulnerability to air pollution, individuals with COPD and other individual risk factors are at the intersection of multiple risks and may be especially susceptible to the effect of acute outdoor air pollution.

RESEARCH QUESTION

What is the association between wintertime air pollution and mortality in patients with COPD and the modifying role of individual risk factors?

STUDY DESIGN AND METHODS

This study evaluated 19,243 deceased veterans with prior COPD diagnosis who had resided in 25 US metropolitan regions (2016-2019). Electronic health records included patient demographic characteristics; smoking status; and comorbidities such as asthma, coronary artery disease (CAD), obesity, and diabetes. Using geocoded addresses, individuals were assigned wintertime fine particulate matter (particulate matter smaller than 2.5 μg in diameter [PM2.5]) and nitrogen dioxide air pollution exposures. Associations between acute air pollution and mortality were estimated by using a time-stratified case-crossover design with a conditional logistic model, and individual risk differences were assessed according to stratified analysis.

RESULTS

A 1.05 (95% CI, 1.02-1.09) mortality risk was estimated for each 10 μg/m3 increase in daily wintertime PM2.5). Older patients and Black individuals displayed elevated risk. Obesity was a substantial air pollution-related mortality risk factor (OR, 1.11; 95% CI, 1.01-1.23), and the estimated risk for individuals with obesity plus CAD or obesity plus diabetes was 16% higher.

INTERPRETATION

Wintertime PM2.5 exposure was associated with elevated mortality risk in people with COPD, but individuals with multiple comorbidities, notably obesity, had high vulnerability. Our study suggests that obesity, CAD, and diabetes are understudied modifiers of air pollution-related risks for people with existing COPD.

The Impact of Time From Diagnosis to Initiation of Chemotherapy on Survival of Patients With Newly Diagnosed Diffuse Large B-Cell Lymphoma in the Veterans Health Administration

INTRODUCTION

Our retrospective study evaluates the impact of time from diagnosis to treatment (TDT) on outcomes of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL) treated within the Veterans Health Administration (VHA).

METHODS

VHA patients diagnosed with DLBCL between 2011 and 2019 were included, while those with primary central nervous system lymphoma were excluded. The median overall survival and progression-free survival were estimated with the Kaplan-Meier method. Univariate, bivariate, and multivariable analyses were performed using the Cox proportional hazards model. The odds ratio for refractory outcomes was calculated using logistic regression.

RESULTS

A total of 2448 patients were included. The median time from diagnosis to treatment of the cohort was 19 days. When comparing median progression-free survival, median overall survival, and the 2-year overall survival between the group that started treatment within 1 week and each of the other groups individually, there was a significant difference favoring improved survival in all groups with a TDT longer than 1 week (P < .0001). These patients also had a lower odds ratio for refractory outcomes. On multivariable analysis, TDT remained an independent prognostic factor.

CONCLUSION

Our study shows that a TDT equal to or less than 1 week is associated with adverse clinical factors, worse outcomes, and response in DLBCL, even after adjusting for multiple known poor prognostic factors. This was the first time that response to first-line therapy was correlated to time to treatment. Our findings support ongoing efforts to improve currently standardized prognostic tools and the incorporation of TDT into clinical trials to avoid selection bias.

Investigation of the role of perceived access to primary care in mediating and moderating racial and ethnic disparities in chronic disease control in the veterans health administration

OBJECTIVE

To examine the role of patient-perceived access to primary care in mediating and moderating racial and ethnic disparities in hypertension control and diabetes control among Veterans Health Administration (VA) users.

DATA SOURCE AND STUDY SETTING

We performed a secondary analysis of national VA user administrative data for fiscal years 2016-2019.

STUDY DESIGN

Our primary exposure was race or ethnicity and primary outcomes were binary indicators of hypertension control (<140/90 mmHg) and diabetes control (HgbA1c < 9%) among patients with known disease. We used the inverse odds-weighting method to test for mediation and logistic regression with race and ethnicity-by-perceived access interaction product terms to test moderation. All models were adjusted for age, sex, socioeconomic status, rurality, education, self-rated physical and mental health, and comorbidities.

DATA COLLECTION/EXTRACTION METHODS

We included VA users with hypertension and diabetes control data from the External Peer Review Program who had contemporaneously completed the Survey of Healthcare Experience of Patients-Patient-Centered Medical Home. Hypertension (34,233 patients) and diabetes (23,039 patients) samples were analyzed separately.

PRINCIPAL FINDINGS

After adjustment, Black patients had significantly lower rates of hypertension control than White patients (75.5% vs. 78.8%, p < 0.01); both Black (81.8%) and Hispanic (80.4%) patients had significantly lower rates of diabetes control than White patients (85.9%, p < 0.01 for both differences). Perceived access was lower among Black, Multi-Race and Native Hawaiian and Other Pacific Islanders compared to White patients in both samples. There was no evidence that perceived access mediated or moderated associations between Black race, Hispanic ethnicity, and hypertension or diabetes control.

CONCLUSIONS

We observed disparities in hypertension and diabetes control among minoritized patients. There was no evidence that patients' perception of access to primary care mediated or moderated these disparities. Reducing racial and ethnic disparities within VA in hypertension and diabetes control may require interventions beyond those focused on improving patient access.

Race and Ethnicity Disparities in Cardiovascular and Cancer Mortality: the Role of Socioeconomic Status-a Systematic Review and Meta-analysis

To clarify the role of socioeconomic status (SES) in cardiovascular and cancer mortality disparities observed between Black, Hispanic, and Asian compared to White adults, we conducted a meta-analysis of the longitudinal research in the USA. A PubMed, Ovid Medline, Web of Science, and EBSCO search was performed from January 1995 to May 2023. Two authors independently screened the studies and conducted risk assessments, with conflicts resolved via consensus. Studies were required to analyze mortality data using Cox proportional hazard regression. Random-effects models were used to pool hazard ratios (HR) and reporting followed PRISMA guidelines. Twenty-two studies with cardiovascular mortality (White and Black (n = 22), Hispanic (n = 7), and Asian (n = 3) adults) and twenty-three with cancer mortality endpoints (White and Black (n = 23), Hispanic (n = 11), and Asian (n = 10) adults) were included. The meta-analytic sample for cardiovascular mortality endpoints was 6,199,049 adults (White = 4,891,735; Black = 935,002; Hispanic = 295,623; Asian = 76,689), while for cancer-specific mortality endpoints was 7,745,180 adults (White = 5,988,392; Black= 1,070,447; Hispanic= 484,848; Asian = 201,493). Median follow-up was 10 and 11 years in cohorts with cardiovascular and cancer mortality endpoints, respectively. Adjustments for SES attenuated the higher risk for cardiovascular (HR, 1.46; 95% CI, 1.30-1.64) and cancer mortality (HR, 1.35; 95% CI, 1.32-1.38) of Black compared to White adults by 25% (HR, 1.21; 95% CI, 1.15-1.28) and 19% (HR, 1.16; 95% CI, 1.13-1.18), respectively. However, the Hispanic cardiovascular (HR, 0.79; 95% CI, 0.73-0.85) and Asian cancer mortality (HR, 0.81; 95% CI, 0.76-0.86) advantage were independent of SES. These findings emphasize the need to develop strategies focused on SES to reduce cardiovascular and cancer mortality in Black adults.

Eliminating Algorithmic Racial Bias in Clinical Decision Support Algorithms: Use Cases from the Veterans Health Administration

The Veterans Health Administration uses equity- and evidence-based principles to examine, correct, and eliminate use of potentially biased clinical equations and predictive models. We discuss the processes, successes, challenges, and next steps in four examples. We detail elimination of the race modifier for estimated kidney function and discuss steps to achieve more equitable pulmonary function testing measurement. We detail the use of equity lenses in two predictive clinical modeling tools: Stratification Tool for Opioid Risk Mitigation (STORM) and Care Assessment Need (CAN) predictive models. We conclude with consideration of ways to advance racial health equity in clinical decision support algorithms.

The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care

Polygenic risk scores (PRSs) hold promise for disease risk assessment and prevention. The Genomic Medicine at Veterans Affairs (GenoVA) Study is addressing three main challenges to the clinical implementation of PRSs in preventive care: defining and determining their clinical utility, implementing them in time-constrained primary care settings, and countering their potential to exacerbate healthcare disparities. The study processes used to test patients, report their PRS results to them and their primary care providers (PCPs), and promote the use of those results in clinical decision-making are modeled on common practices in primary care. The following diseases were chosen for their prevalence and familiarity to PCPs: coronary artery disease; type 2 diabetes; atrial fibrillation; and breast, colorectal, and prostate cancers. A randomized clinical trial (RCT) design and primary outcome of time-to-new-diagnosis of a target disease bring methodological rigor to the question of the clinical utility of PRS implementation. The study's pragmatic RCT design enhances its relevance to how PRS might reasonably be implemented in primary care. Steps the study has taken to promote health equity include the thoughtful handling of genetic ancestry in PRS construction and reporting and enhanced recruitment strategies to address underrepresentation in research participation. To date, enhanced recruitment efforts have been both necessary and successful: participants of underrepresented race and ethnicity groups have been less likely to enroll in the study than expected but ultimately achieved proportional representation through targeted efforts. The GenoVA Study experience to date offers insights for evaluating the clinical utility of equitable PRS implementation in adult primary care.

Survival Outcomes by Race and Ethnicity in Veterans With Nonmetastatic Castration-Resistant Prostate Cancer

Importance

Racial and ethnic disparities in prostate cancer are poorly understood. A given disparity-related factor may affect outcomes differently at each point along the highly variable trajectory of the disease.

Objective

To examine clinical outcomes by race and ethnicity in patients with nonmetastatic castration-resistant prostate cancer (nmCRPC) within the US Veterans Health Administration.

Design, Setting, and Participants

A retrospective, observational cohort study using electronic health care records (January 1, 2006, to December 31, 2021) in a nationwide equal-access health care system was conducted. Mean (SD) follow-up time was 4.3 (3.3) years. Patients included in the analysis were diagnosed with prostate cancer from January 1, 2006, to December 30, 2020, that progressed to nmCRPC defined by (1) increasing prostate-specific antigen levels, (2) ongoing androgen deprivation, and (3) no evidence of metastatic disease. Patients with metastatic disease or death within the landmark period (3 months after the first nmCRPC evidence) were excluded.

Main Outcomes and Measures

The primary outcome was time from the landmark period to death or metastasis; the secondary outcome was overall survival. A multivariate Cox proportional hazards model, Kaplan-Meier estimates, and adjusted survival curves were used to evaluate outcome differences by race and ethnicity.

Results

Of 12 992 patients in the cohort, 826 patients identified as Hispanic (6%), 3671 as non-Hispanic Black (28%; henceforth Black), 7323 as non-Hispanic White (56%; henceforth White), and 1172 of other race and ethnicity (9%; henceforth other, including American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, unknown by patient, and patient declined to answer). Median time elapsed from nmCRPC to metastasis or death was 5.96 (95% CI, 5.58-6.34) years for Black patients, 5.62 (95% CI, 5.11-6.67) years for Hispanic patients, 4.11 (95% CI, 3.96-4.25) years for White patients, and 3.59 (95% CI, 3.23-3.97) years for other patients. Median unadjusted overall survival was 6.26 (95% CI, 6.03-6.46) years among all patients, 8.36 (95% CI, 8.0-8.8) years for Black patients, 8.56 (95% CI, 7.3-9.7) years for Hispanic patients, 5.48 (95% CI, 5.2-5.7) years for White patients, and 4.48 (95% CI, 4.1-5.0) years for other patients.

Conclusions and Relevance

The findings of this cohort study of patients with nmCRPC suggest that differences in outcomes by race and ethnicity exist; in addition, Black and Hispanic men may have considerably improved outcomes when treated in an equal-access setting.

Rural and Urban Hispanic Patients of the Veterans Health Administration

Hispanic Veterans are the largest growing racial and ethnic minority group in the Veterans Health Administration (VA) system. Though recent research has found increasing suicide rates in this population and a growing rural-urban disparity, literature on core population characteristics remains sparse. We used extensive patient demographic and clinical data from VA's electronic medical record repository to examine geographic and longitudinal variation in Hispanic VA patients from 2001 to 2018. As the first such detailed characterization of this population, this study was largely descriptive in nature, and included heatmaps of Hispanic patient residence across rural and urban US counties, along with descriptive measures of patient characteristics by rurality, and first year of VA use. We found that Hispanic patients (n = 722,893) represented 5.2% of new VA users between 2001 and 2018, a proportion which grew nearly 90% from 4.0% (2001-2006) to 7.5% (2013-2018). Hispanic patients were largely White, male, under age 50, and had minimal illness or disability. The highest prevalence of Hispanic patients was in the Southwest US/Mexico border region, while the Midwest experienced the largest growth of Hispanic patients. Rural Hispanic patients were more likely to be older, male, and to live in areas characterized by small foreign-born populations and high socioeconomic deprivation. Compared with Hispanic patients entering the VA system in 2001-2006, patients in 2013-2018 were younger, more likely to be female, and to live in urban areas. These findings illustrate the wide range of demographic, clinical, and geographic experiences in the growing VA Hispanic population and demonstrate that culturally competent care for Hispanic Veterans must reflect their intra-ethnic diversity.

Disparities and Risk Factors for Surgical Complication in American Indians and Native Hawaiians

INTRODUCTION

American Indian and Alaskan Natives (AIAN) and Native Hawaiian and Pacific Islanders (NHPI) research is limited, particularly in postoperative surgical outcomes. This study analyzes disparities in AIAN and NHPI surgical complications across all surgical types and identifies factors that contribute to postoperative complications.

METHODS

This retrospective cohort study examined all surgeries from 2011 to 2020 in the National Surgical Quality Improvement Program, queried by race. Multivariable models analyzed the association of race and ethnicity and 30-day postoperative complication. Next, multivariable models were used to identify preoperative variables associated with postoperative complications, specifically in AIAN and NHPI patients. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated.

RESULTS

AIAN patients were associated with higher odds of postoperative complication (AOR: 1.008 [CI: 1.005-1.011], P < 0.001) compared to non-Hispanic white patients. The comorbidities that were of higher incidence in AIAN patients, which also adversely contributed to postoperative complication, included dependent functional status, diabetes, congestive heart failure (CHF), open wounds, preoperative weight loss, bleeding disorders, preoperative transfusion, sepsis, hypoalbuminemia, along with an active smoking status and ASA ≥3. In NHPI patients, dependent functional status, CHF, renal failure, preoperative transfusion, open wounds, and sepsis were of higher incidence and significantly contributed to postoperative complication.

CONCLUSIONS

Surgical outcome disparities exist particularly in AIAN patients. Identification of modifiable patient risk factors may benefit perioperative care for AIAN and NHPI patients, which are historically understudied racial groups.

COVID-19 mortality among veterans with serious mental illness in the veterans health administration

OBJECTIVE

Persons with serious mental illness (SMI: schizophrenia-spectrum disorders, bipolar disorder) experience increased risk of mortality after contracting COVID-19 based on the results of several international evaluations. However, information about COVID-19 mortality risk among patients with SMI in the Veterans Health Administration (VHA) has been limited, precluding identification of protective factors. The current evaluation was conducted to assess COVID-19 mortality risk among VHA patients with SMI and to evaluate potential protective factors in mitigating mortality risk following a positive COVID-19 diagnosis.

METHODS

National VHA administrative data was used to identify all patients (N = 52,916) who received a positive COVID-19 test result between March 1, 2020, and September 30, 2020. Mortality risk was assessed by SMI status via bivariate comparisons and multivariate regression analyses.

RESULTS

In unadjusted analyses, VHA patients with SMI overall and patients with bipolar disorder in particular did not experience increased mortality risk in the 30 days following a positive COVID test, although patients with schizophrenia had increased risk. Within adjusted analyses, patients with schizophrenia remained at increased mortality risk (OR = 1.38), but at reduced levels relative to previous evaluations in other healthcare settings.

CONCLUSIONS

Within VHA, patients with schizophrenia, but not those with bipolar disorder, experience increased mortality risk in the 30 days following a positive COVID-19 test. Large integrated healthcare settings such as VHA may offer services which may protect against COVID-19 mortality for vulnerable groups such as persons with SMI. Additional work is needed to identify practices which may reduce the risk of COVID-19 mortality among persons with SMI.

Mitigating the health effects of systemic racism: Evaluation of the Race-Based Stress and Trauma Empowerment intervention

BACKGROUND

Disparities in physical and mental health among Black, Indigenous, and People of Color (BIPOC) are well-documented and mirrored in the Veteran population. Chronic stress due to racism and discrimination is one possible mechanism driving these negative health outcomes. The Race-Based Stress and Trauma Empowerment (RBSTE) group is a novel, manualized, health promotion intervention designed to address the direct and indirect impacts of racism among Veterans of Color. This paper describes the protocol of the first pilot randomized controlled trial (RCT) of RBSTE. This study will examine the feasibility, acceptability, and appropriateness of RBSTE compared to an active control (an adaptation of Present-Centered Therapy; PCT) in a Veterans Affairs (VA) healthcare setting. A secondary aim is to identify and optimize strategies for holistic evaluation.

METHODS

Veterans of Color (N = 48) endorsing perceived discrimination and stress will be randomized to RBSTE or PCT; both groups will be delivered in 8 weekly, 90-min virtual group sessions. Outcomes will include measures of psychological distress, discrimination and ethnoracial identity, holistic wellness, and allostatic load. Measures will be administered at baseline and post-intervention.

CONCLUSION

This study will inform future interventions targeting identity-based stressors and represents an important step in advancing equity for BIPOC in medicine and research.

CLINICAL TRIAL REGISTRATION NUMBER

NCT05422638.

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

OBJECTIVE

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.

DATA SOURCES

Administrative data from the Veterans Health Administration's Corporate Data Warehouse.

STUDY DESIGN

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.

DATA COLLECTION

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.

PRINCIPAL FINDINGS

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 changes were significantly higher compared to White Veterans. Disparities were smaller than in the general population.

CONCLUSIONS

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.

Gynecologist Supply Deserts Across the VA and in the Community

BACKGROUND

The Veterans Health Administration (VA) refers patients to community providers for specialty services not available on-site. However, community-level specialist shortages may impede access to care.

OBJECTIVE

Compare gynecologist supply in veterans' county of residence versus at their VA site.

DESIGN

We identified women veteran VA patients from fiscal year (FY) 2017 administrative data and assessed availability of a VA gynecologist within 50 miles (hereafter called "local") of veterans' VA homesites (per national VA organizational survey data). For the same cohort, we then assessed community-level gynecologist availability; counties with < 2 gynecologists/10,000 women (per the Area Health Resource File) were "inadequate-supply" counties. We examined the proportion of women veterans with local VA gynecologist availability in counties with inadequate versus adequate gynecologist supply, stratified by individual and VA homesite characteristics. Chi-square tests assessed statistical differences.

PARTICIPANTS

All women veteran FY2017 VA primary care users nationally.

MAIN MEASURES

Availability of a VA gynecologist within 50 miles of a veteran's VA homesite; county-level "inadequate-supply" of gynecologists.

KEY RESULTS

Among 407,482 women, 9% were in gynecologist supply deserts (i.e., lacking local VA gynecologist and living in an inadequate-supply county). The sub-populations with the highest proportions in gynecologist supply deserts were rural residents (24%), those who got their primary care at non-VAMC satellite clinics (13%), those who got their care at a site without a women's clinic (13%), and those with American Indian or Alaska Native (12%), or white (12%) race. Among those in inadequate-supply counties, 59.9% had gynecologists at their local VA; however, 40.1% lacked a local VA gynecologist.

CONCLUSIONS

Most veterans living in inadequate-supply counties had local VA gynecology care, reflecting VA's critical role as a safety net provider. However, for those in gynecologist supply deserts, expanded transportation options, modified staffing models, or tele-gynecology hubs may offer solutions to extend VA gynecology capacity.

Social Determinants of Health: Considerations for Care of Older Veterans

Social determinants of health (SDOH), the environments and circumstances in which people are born, grow, live, work and age, are potent drivers of health, health disparities, and health outcomes over the lifespan. Military service affords unique experiences, exposures, and social and health vulnerabilities which impact the life course and may alter health equity and health outcomes for older veterans. Identifying and addressing SDOH, inclusive of the military experience, allows person-centered, more equitable care to this vulnerable population. Nurses and other health professionals should be familiar with how to identify and address health-related social needs and implement interdiciplinary, team-based approaches to connect patients with resources and benefits specifically available to veterans.

Optimizing Data on Race and Ethnicity for Veterans Affairs Patients

INTRODUCTION

Maintaining accurate race and ethnicity data among patients of the Veterans Affairs (VA) healthcare system has historically been a challenge. This work expands on previous efforts to optimize race and ethnicity values by combining multiple VA data sources and exploring race- and ethnicity-specific collation algorithms.

MATERIALS AND METHODS

We linked VA patient data from 2000 to 2018 with race and ethnicity data from four administrative and electronic health record sources: VA Medical SAS files (MedSAS), Corporate Data Warehouse (CDW), VA Centers for Medicare extracts (CMS), and VA Defense Identity Repository Data (VADIR). To assess the accuracy of each data source, we compared race and ethnicity values to self-reported data from the Survey of Health Experiences of Patients (SHEP). We used Cohen's Kappa to assess overall (holistic) source agreement and positive predictive values (PPV) to determine the accuracy of sources for each race and ethnicity separately.

RESULTS

Holistic agreement with SHEP data was excellent (K > 0.80 for all sources), while race- and ethnicity-specific agreement varied. All sources were best at identifying White and Black users (average PPV = 0.94, 0.93, respectively). When applied to the full VA user population, both holistic and race-specific algorithms substantially reduced unknown values, as compared to single-source methods.

CONCLUSIONS

Combining multiple sources to generate race and ethnicity values improves data accuracy among VA patients. Based on the overall agreement with self-reported data, we recommend using non-missing values from sources in the following order to fill in race values-SHEP, CMS, CDW, MedSAS, and VADIR-and in the following order to fill in ethnicity values-SHEP, CDW, MedSAS, VADIR, and CMS.

Patients undergoing colorectal surgery at a Veterans Affairs Hospital do not experience racial disparity in length of stay either before or after implementing an enhanced recovery pathway

Background

Enhanced Recovery Pathways (ERP) have been shown to reduce racial disparities following surgery. The objective of this study is to determine whether ERP implementation mitigates racial disparities at a Veterans Affairs Hospital.

Methods

A retrospective cohort study was conducted using data obtained from the Veterans Affairs Surgical Quality Improvement Program. All patients undergoing elective colorectal surgery following ERP implementation were included. Current procedural terminology (CPT) codes were used to identify patients who underwent similar procedures prior to ERP implementation.

Results

Our study included 417 patients (314 pre-ERP vs. 103 ERP), 97.1% of which were male, with an average age of 62.32 (interquartile range (IQR): 25–90). ERP patients overall had a significantly shorter post-operative length of stay (pLOS) vs. pre-ERP patients (median 4 days (IQR: 3–6.5) vs. 6 days (IQR: 4–9) days (p < 0.001)). Within the pre-ERP group, median pLOS for both races was 6 days (IQR: 4–6; p < 0.976) and both groups experienced a decrease in median pLOS (4 vs. 6 days; p < 0.009 and p < 0.001) following ERP implementation.

Conclusions

Racial disparities did not exist in patients undergoing elective surgery at a single VA Medical Center. Implementation of an ERP significantly reduced pLOS for black and white patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12893-022-01647-3.

Socioeconomic Disparities in Pancreas Cancer Resection and Survival in the Veterans Health Administration

BACKGROUND

Disparities based on socioeconomic factors such as race, ethnicity, marital status, and insurance status are associated with pancreatic cancer resection, but these disparities are usually not observed for survival after resection. It is unknown if there are disparities when patients undergo their treatment in a non-fee-for-service, equal-access healthcare system such as the Veterans Health Administration (VHA).

METHODS

Patients having T1-T3 M0 pancreatic adenocarcinoma diagnosed between 2006 and 2017 were identified from the VHA Corporate Data Warehouse. Socioeconomic, demographic, and tumor variables associated with resection and survival were assessed.

RESULTS

In total, 2580 patients with early-stage pancreatic cancer were identified. The resection rate was 36.5%. Surgical resection was independently associated with younger age [odds ratio (OR) 0.94, p < 0.001], White race (OR 1.35, p = 0.028), married status (OR 1.85, p = 0.001), and employment status (retired vs. unemployed, OR 1.41, p = 0.008). There were no independent associations with Hispanic ethnicity, geographic region, or Social Deprivation Index. Resection was associated with significantly improved survival (median 21 vs. 8 months, p = 0.001). Among resected patients, survival was independently associated with younger age (HR 1.019, p = 0.002), geographic region (South vs. Pacific West, HR 0.721, p = 0.005), and employment (employed vs. unemployed, HR 0.752, p = 0.029). Race, Hispanic ethnicity, marital status, and Social Deprivation Index were not independently associated with survival after resection.

CONCLUSIONS

Race, marital status, and employment status are independently associated with resection of pancreatic cancer in the VHA, whereas geographic region and employment status are independently associated with survival after resection. Further studies are warranted to determine the basis for these inequities.

Screening Colonoscopy Findings Are Associated With Noncolorectal Cancer Mortality

INTRODUCTION

Controversy exists regarding the impact of various risk factors on noncolorectal cancer (CRC) mortality in healthy screening populations. We examined the impact of known CRC risk factors, including baseline colonoscopy findings, on non-CRC mortality in a screening population.

METHODS

Cooperative Studies Program (CSP) #380 is comprised of 3,121 veterans aged 50-75 years who underwent screening colonoscopy from 1994 to 97 and were then followed for at least 10 years or until death. Hazard ratios (HRs) for risk factors on non-CRC mortality were estimated by multivariate Cox proportional hazards.

RESULTS

Current smoking (HR 2.12, 95% confidence interval [CI] 1.78-2.52, compared with nonsmokers) and physical activity (HR 0.89, 95% CI 0.84-0.93) were the modifiable factors most associated with non-CRC mortality in CSP#380. In addition, compared with no neoplasia at baseline colonoscopy, non-CRC mortality was higher in participants with ≥3 small adenomas (HR 1.43, 95% CI 1.06-1.94), advanced adenomas (HR 1.32, 95% CI 0.99-1.75), and CRC (HR 2.95, 95% CI 0.98-8.85). Those with 1-2 small adenomas were not at increased risk for non-CRC mortality (HR 1.15, 95% CI 0.94-1.4).

DISCUSSION

In a CRC screening population, known modifiable risk factors were significantly associated with 10-year non-CRC mortality. Furthermore, those who died from non-CRC causes within 10 years were more likely to have had high-risk findings at baseline colonoscopy. These results suggest that advanced colonoscopy findings may be a risk marker of poor health outcomes. Integrated efforts are needed to motivate healthy lifestyle changes during CRC screening, particularly in those with high-risk colonoscopy findings and unaddressed risk factors.

Disparities in Excess, All-Cause Mortality among Black, Hispanic, and White Veterans at the U.S. Department of Veterans Affairs during the COVID-19 Pandemic

Background: From 2019 to 2020, all-cause mortality in the U.S. increased, with most of the rise attributed to COVID-19. No studies have examined the racial disparities in all-cause mortality among U.S. veterans receiving medical care (VA users) at the U.S. Department of Veterans Affairs (VA) during the pandemic. Methods: In the present paper, we conduct a longitudinal study examining the differences in mortality among White, Black, and Hispanic veterans, aged 45 years and older, during the first, full year of the pandemic (March 2020–February 2021). We calculated the Standardized Mortality Rates (SMRs) per 100,000 VA users for each racial and ethnic group by age and gender. Results: The highest percentage increase between the number of deaths occurred between pre- and post-pandemic years (March 2020–February 2021 vs. March 2019–February 2020). For Hispanics, the all-cause mortality increased by 34%, while for Blacks, it increased by 32%. At the same time, we observed that an 18% increase in all-cause mortality occurred among Whites. Conclusion: Blacks and Hispanics were disproportionately affected by the COVID-19 pandemic, leading both directly and indirectly to higher all-cause mortality among these groups compared to Whites. Disparities in the all-cause mortality rates varied over time and across groups. Additional research is needed to examine which factors may account for the observed changes over time. Understanding those factors will permit the development of strategies to mitigate these disparities.

Life Expectancy Trends Among Integrated Health Care System Enrollees, 2014-2017

INTRODUCTION

The Centers for Disease Control and Prevention (CDC) has reported downward trends in life expectancy and racial/ethnic differences between 2014 and 2017.

OBJECTIVE

To determine the life expectancy of the Kaiser Permanente Mid-Atlantic States (KPMAS) insured population as compared to the CDC National Vital Statistics data from 2014 to 2017. We also aimed to highlight the utilization of membership data to inform population statistical estimates such as life expectancy. We examine whether national trends in life expectancy are reflected in an insured population with relatively uniform access to care.

METHODS

This retrospective, data only study examined life expectancy between 2014 and 2017. Data from electronic medical records and the National Death Index were combined to construct complete life tables by race and sex for the KPMAS population, which was compared to the CDC National Vital Statistics data.

RESULTS

From 2014 to 2017, the overall KPMAS population life expectancy at birth varied between 84.6 and 85.2 years compared to the CDC reported national average of 78.6-78.9 years (p < 0.001). While the CDC dataset reported a 3.5- to 3.7-year life expectancy gap between non-Hispanic White and non-Hispanic Black populations, in the KPMAS population, this gap was significantly smaller (0.0-0.9 years). The gap in life expectancy between males and females was consistent across KPMAS and the CDC data; however, overall KPMAS male and female patient life expectancy was extended in comparison.

CONCLUSION

Among members who disclosed their race/ethnicity, KPMAS Hispanic, non-Hispanic Black, and non-Hispanic White members had significantly higher life expectancies than the CDC dataset in all years reported.

Variations by race/ethnicity and time in Covid-19 testing among Veterans Health Administration users with COVID-19 symptoms or exposure

Racial/ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalization and mortality have emerged in the United States, but less is known about whether similar differences exist in testing, and how this changed as COVID-19 knowledge and policies evolved. We examined racial/ethnic variations in COVID-19 testing over time among veterans who sought care for COVID-19 symptoms or exposure. In the national population of all Veterans who sought Veterans Health Administration (VHA) care for COVID-19 symptoms or exposure (n = 913,806), we conducted multivariate logistic regressions to explore race/ethnicity-by-time period differences in testing from 3/1/2020-11/25/2020, and calculated predicted probabilities by race/ethnicity and time period. Early in the pandemic (3/1/2020-4/6/2020) when testing was limited and there was less awareness of racial/ethnic disparities, non-Hispanic Black, Hispanic, and other non-White racial/ethnic minority Veterans who sought care from VHA for COVID-19 symptoms or exposure were more likely than non-Hispanic White Veterans to receive a COVID-19 test (p < 0.05). In subsequent time periods (4/7/2020-11/25/2020), testing was similar among all racial/ethnic groups. Among Veterans with COVID-19 symptoms or exposure, non-Hispanic Black and Hispanic patients were just as likely, and in some cases, more likely, to receive a COVID-19 test versus non-Hispanic White patients. The United States faced testing shortages at the start of the third wave of the pandemic; additional shortages are likely to emerge as the pandemic continues to peak and ebb. It is important to ensure that racial/ethnic minorities and others at greater risk for infection continue to have access to COVID-19 testing with each of these peaks.

Association of race and health care system with disease stage and survival in veterans with larynx cancer

BACKGROUND

Black patients with laryngeal squamous cell carcinoma (LSCC) historically have inferior outcomes in comparison with White patients. The authors investigated these racial disparities within the Veterans Health Administration (VHA), an equal-access system, and within the Surveillance, Epidemiology, and End Results (SEER) program, which is representative of the US hybrid-payer system.

METHODS

Patients with invasive (T1 or greater) LSCC were included from SEER (2004-2015) and the VHA (2000-2017). The primary outcomes of overall survival (OS) and larynx cancer-specific survival (LCS) were evaluated in Cox and Fine-Gray models.

RESULTS

In the SEER cohort (7122 patients: 82.6% White and 17.4% Black), Black patients were more likely to present with advanced disease and had inferior OS (hazard ratio [HR], 1.37; 95% CI, 1.26-1.50; P < .0001) in a multivariable analysis. Black LCS was worse in a univariable analysis (HR, 1.42; 95% CI, 1.27-1.58; P < .0001), but this effect was attenuated by 83% when the authors controlled for the TNM category and was found to be insignificant in a multivariable analysis (HR, 1.05; 95% CI, 0.93-1.18; P = .42). In the VHA cohort (9248 patients: 79.7% White and 20.3% Black), the 2 racial cohorts presented with similar tumor characteristics and similar OS (HR, 0.95; 95% CI, 0.89-1.02; P = .14). Black LCS was similar in univariable (HR, 1.10; 95% CI, 1.00-1.22; P = .05) and multivariable analyses (HR, 1.02; 95% CI, 0.92-1.14; P = .67).

CONCLUSIONS

Black patients with LSCC had a tumor burden at diagnosis and survival outcomes comparable to those of White patients within the VHA; this was counter to what was observed in the SEER analysis and prior national trends. This study's findings point toward the notable role of health care access in contributing to racial health disparities in the realm of larynx cancer.

Interaction between race and prostate cancer treatment benefit in the Veterans Health Administration

BACKGROUND

Studies have demonstrated that Black men may undergo definitive prostate cancer (CaP) treatment less often than men of other races, but it is unclear whether they are avoiding overtreatment of low-risk disease or experiencing a reduction in appropriate care. The authors' aim was to assess the role of race as it relates to treatment benefit in access to CaP treatment in a single-payer population.

METHODS

The authors used the Veterans Health Administration (VHA) Corporate Data Warehouse to perform a retrospective cohort study of veterans diagnosed with low- or intermediate-risk CaP between 2011 and 2017.

RESULTS

The authors identified 35,427 men with incident low- or intermediate-risk CaP. When they controlled for covariates, Black men had 1.05 times the odds of receiving treatment in comparison with non-Black men (P < .001), and high-treatment-benefit men had 1.4 times the odds of receiving treatment in comparison with those in the low-treatment-benefit group (P < .001). The interaction of race and treatment benefit was significant, with Black men in the high-treatment-benefit category less likely to receive treatment than non-Black men in the same treatment category (odds ratio, 0.89; P < .001).

CONCLUSIONS

Although race does appear to influence the receipt of definitive treatment in the VHA, this relationship varies in the context of the patient's treatment benefit, with Black men receiving less definitive treatment in high-benefit situations. The influence of patient race at high treatment benefit levels invites further investigation into the driving forces behind this persistent disparity in this consequential group.

Association of Social and Behavioral Risk Factors With Mortality Among US Veterans With COVID-19

IMPORTANCE

The US Department of Veterans Affairs (VA) offers programs that reduce barriers to care for veterans and those with housing instability, poverty, and substance use disorder. In this setting, however, the role that social and behavioral risk factors play in COVID-19 outcomes is unclear.

OBJECTIVE

To examine whether social and behavioral risk factors were associated with mortality among US veterans with COVID-19 and whether this association might be modified by race/ethnicity.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from the VA Corporate Data Warehouse to form a cohort of veterans who received a positive COVID-19 test result between March 2 and September 30, 2020, in a VA health care facility. All veterans who met the inclusion criteria were eligible to participate in the study, and participants were followed up for 30 days after the first SARS-CoV-2 or COVID-19 diagnosis. The final follow-up date was October 31, 2020.

EXPOSURES

Social risk factors included housing problems and financial hardship. Behavioral risk factors included current tobacco use, alcohol use, and substance use.

MAIN OUTCOMES AND MEASURES

The primary outcome was all-cause mortality in the 30-day period after the SARS-CoV-2 or COVID-19 diagnosis date. Multivariable logistic regression was used to estimate odds ratios, clustering for health care facilities and adjusting for age, sex, race, ethnicity, marital status, clinical factors, and month of COVID-19 diagnosis.

RESULTS

Among 27 640 veterans with COVID-19 who were included in the analysis, 24 496 were men (88.6%) and the mean (SD) age was 57.2 (16.6) years. A total of 3090 veterans (11.2%) had housing problems, 4450 (16.1%) had financial hardship, 5358 (19.4%) used alcohol, and 3569 (12.9%) reported substance use. Hospitalization occurred in 7663 veterans (27.7%), and 1230 veterans (4.5%) died. Housing problems (adjusted odds ratio [AOR], 0.96; 95% CI, 0.77-1.19; P = .70), financial hardship (AOR, 1.13; 95% CI, 0.97-1.31; P = .11), alcohol use (AOR, 0.82; 95% CI, 0.68-1.01; P = .06), current tobacco use (AOR, 0.85; 95% CI, 0.68-1.06; P = .14), and substance use (AOR, 0.90; 95% CI, 0.71-1.15; P = .41) were not associated with higher mortality. Interaction analyses by race/ethnicity did not find associations between mortality and social and behavioral risk factors.

CONCLUSIONS AND RELEVANCE

Results of this study showed that, in an integrated health system such as the VA, social and behavioral risk factors were not associated with mortality from COVID-19. Further research is needed to substantiate the potential of an integrated health system to be a model of support services for households with COVID-19 and populations who are at risk for the disease.

Video-Assisted Thoracoscopic Surgery Lung Resection in United States Veterans: Trends and Outcomes versus Thoracotomy

BACKGROUND

 Video-assisted thoracoscopic surgery (VATS) offers reduced morbidity compared with open thoracotomy (OT) for pulmonary surgery. The use of VATS over time has increased, but at a modest rate in civilian populations. This study examines temporal trends in VATS use and compares outcomes between VATS and OT in the Veterans Health Administration (VHA).

METHODS

 Patients who underwent pulmonary surgery (wedge or segmental resection, lobectomy, or pneumonectomy) at Veterans Affairs centers from 2008 to 2018 were retrospectively identified using the Veterans Affairs Surgical Quality Improvement Project database. The cohort was divided into OT and VATS and propensity score matched, taking into account the type of pulmonary resection, preoperative diagnosis, and comorbidities. Thirty-day postoperative outcomes were compared. The prevalence of VATS use and respective complications over time was also analyzed.

RESULTS

 A total of 16,895 patients were identified, with 5,748 per group after propensity matching. VATS had significantly lower rates of morbidity and a 2-day reduction in hospital stay. Whereas 76% of lung resections were performed open in 2008, nearly 70% of procedures were performed using VATS in 2018. While VATS was associated with an 8% lower rate of major complications compared with thoracotomy in 2008, patients undergoing VATS lung resection in 2018 had a 58% lower rate of complications (p < 0.001).

CONCLUSIONS

 VATS utilization at VHA centers has become the predominant technique used for pulmonary surgeries over time. OT patients had more complications and longer hospital stays compared with VATS. Over the study period, VATS patients had increasingly lower complication rates compared with open surgery.

Pre-procedural barriers to accessing novel treatments for aortic stenosis among racial/ethnic minorities in the veterans affairs healthcare system

Background

Novel structural heart procedures offer life-saving treatment advantages, yet little is known about pre-procedural barriers to care by race/ethnicity.

Methods

All echocardiograms performed at a Veterans Affairs hospital from 2015 to 2019 were reviewed to identify patients with severe aortic stenosis and their access to transcatheter aortic valve replacement (TAVR) by race/ethnicity.

Results

From 19,403 echocardiograms, 355 individuals were identified to have severe aortic stenosis (72.6% White, 9.8% Hispanic, 3.9% Black). There was a non-significant trend towards increased TAVR treatment among White compared to non-White patients (OR 2.02, CI 0.96-4.24, p = 0.063), which attenuated after adjustment for age and comorbidities. Reasons for not undergoing replacement included poor procedural candidacy (25.3%), loss of follow-up (17.8%), and patient refusal (16.4%).

Conclusions

Racial/ethnic inequities were not detected in novel structural heart treatment within the VA. However, a high proportion of eligible patients did not receive procedural treatment due to patient refusal or loss of follow-up, highlighting barriers that require further study.

Time Trends in Racial/Ethnic Differences in COVID-19 Infection and Mortality

Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration's (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.

Racial Difference in the Association of Long-Term Exposure to Fine Particulate Matter (PM2.5) and Cardiovascular Disease Mortality among Renal Transplant Recipients

Ambient air pollutants are known risk factors for cardiovascular disease (CVD) morbidity and mortality with significant racial disparities. However, few studies have explored racial differences among highly susceptible subpopulations, such as renal transplant recipients (RTRs). Despite improvements in quality of life after transplantation, CVD remains the major cause of mortality, especially among Black recipients. This study aimed to evaluate potential racial differences in the association between long-term levels of PM2.5 and the risk of all-cause, total CVD, and coronary heart disease (CHD) mortality among RTRs. This retrospective study consists of 93,857 non-smoking adults who received a renal transplant between 2001 and 2015. Time-dependent Cox regression was used to assess the association between annual concentrations of PM2.5 and mortality risk. In the multivariable-adjusted models, a 10 μg/m3 increase in ambient PM2.5 levels found increased risk of all-cause (HR = 3.45, 95% CI: 3.08-3.78), CVD (HR = 2.38, 95% CI: 1.94-2.92), and CHD mortality (HR = 3.10, 95% CI: 1.96-4.90). Black recipients had higher risks of all-cause (HR = 4.09, 95% CI: 3.43-4.88) and CHD mortality (HR = 6.73, 95% CI: 2.96-15.32). High levels of ambient PM2.5 were associated with all-cause, CVD, and CHD mortality. The association tended to be higher among Black recipients than non-Blacks.

Advancement of echocardiography for surveillance of iron overload cardiomyopathy: comparison to cardiac magnetic resonance imaging

The prevalence of iron overload cardiomyopathy (IOC) is increasing. Patients with transfusion-dependent anemias or conditions associated with increased iron absorption over time are at a significant risk for the development of iron-overloaded states such as IOC. Current guidelines regarding the diagnostic evaluation and follow-up of patients at risk for IOC exist, and are composed of multiple components, including such as echocardiography, genetic testing, magnetic resonance imaging of liver, and cardiac magnetic resonance imaging (CMR). While these are considered reliable for the evaluation of patients at risk for an iron-overloaded state, there is an access challenge associated with initial and serial CMR scanning in this patient population. Furthermore, there are other limiting factors, such as patient characteristics that may preclude the use of CMR as a viable diagnostic imaging modality for these patients. On the other hand, recent evidence in the literature suggests that transthoracic echocardiography, which has had significant technological advances, can equal or even outperform CMR to identify cardiac functional abnormalities such as subclinical left ventricular strain and left atrial functional abnormalities in iron overload conditions. Therefore, there is a potential role of more frequent use of echocardiography for surveillance of the development of IOC. Our purpose with this narrative review is to describe recent advances in echocardiography and propose a potential increased use of echocardiography in the surveillance of the development of IOC.

New pathogen, same disparities: why COVID-19 and HIV remain prevalent in U.S. communities of colour and implications for ending the HIV epidemic

INTRODUCTION

The U.S. Ending the HIV Epidemic (EHE) Initiative was launched nationally in February 2019. With a target of ending the HIV epidemic by 2030, EHE initially scales up effective HIV prevention and care in 57 localities that comprise the greatest proportion of annual HIV diagnoses in the United States (US). However, the EHE effort has been eclipsed by another infectious disease 11 months into the Initiative's implementation. SARS-COV-2, a novel coronavirus, has infected more than eight million Americans and at least 223 000 (as of 23 October 2020) have succumbed to the disease. This commentary explores the social conditions that place communities of colour at greater risk for COVID-19 and HIV, and assesses challenges to EHE in a post-COVID-19 universe.

DISCUSSION

One of the many common threads between HIV and COVID-19 is the disproportionate impact of each disease among communities of colour. A recent report by the National Academy of Sciences surmised that as much as 70% of health outcomes are due to health access, socio-economic factors and environmental conditions. Social determinants of health associated with greater HIV burden in Black and Brown communities have re-emerged in epidemiological studies of disproportionate COVID-19 cases, hospitalizations and deaths in communities of colour. Using data from the scientific literature, this commentary makes direct comparisons between HIV and COVID-19 racial disparities across the social determinants of health. Furthermore, I examine three sets of challenges facing EHE: (1) Challenges that hamper both the EHE and COVID-19 response (i.e. insufficiently addressing the social determinants of health; amplification of disparities as new health technologies are introduced) (2) Challenges posed by COVID-19 (i.e. diverting HIV resources to address COVID-19 and tapering of EHE funding generally); and (3) Challenges unrelated to COVID-19 (i.e. emergence of new and related health disparities; repeal of the Affordable Care Act and long-term viability of EHE).

CONCLUSIONS

Racism and discrimination place communities of colour at greater risk for COVID-19 as well as HIV. Achieving and sustaining an end to the U.S. HIV epidemic will require structural change to eliminate conditions that give rise to and maintain disparities.

White Counties Stand Apart: The Primacy of Residential Segregation in COVID-19 and HIV Diagnoses

Emerging epidemiological data suggest that white Americans have a lower risk of acquiring COVID-19. Although many studies have pointed to the role of systemic racism in COVID-19 racial/ethnic disparities, few studies have examined the contribution of racial segregation. Residential segregation is associated with differing health outcomes by race/ethnicity for various diseases, including HIV. This commentary documents differing HIV and COVID-19 outcomes and service delivery by race/ethnicity and the crucial role of racial segregation. Using publicly available Census data, we divide US counties into quintiles by percentage of non-Hispanic white residents and examine HIV diagnoses and COVID-19 per 100,000 population. HIV diagnoses decrease as the proportion of white residents increase across US counties. COVID-19 diagnoses follow a similar pattern: Counties with the highest proportion of white residents have the fewest cases of COVID-19 irrespective of geographic region or state political party inclination (i.e., red or blue states). Moreover, comparatively fewer COVID-19 diagnoses have occurred in primarily white counties throughout the duration of the US COVID-19 pandemic. Systemic drivers place racial minorities at greater risk for COVID-19 and HIV. Individual-level characteristics (e.g., underlying health conditions for COVID-19 or risk behavior for HIV) do not fully explain excess disease burden in racial minority communities. Corresponding interventions must use structural- and policy-level solutions to address racial and ethnic health disparities.

Relationship of neighborhood social determinants of health on racial/ethnic mortality disparities in US veterans-Mediation and moderating effects

OBJECTIVE

To examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation.

DATA SOURCES

Electronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census.

STUDY DESIGN

Racial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions.

PRINCIPAL FINDINGS

Mortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations.

CONCLUSIONS

Neighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.

Elective surgery for diverticular disease in U.S. veterans: A VASQIP study of national trends and outcomes from 2004 to 2018

BACKGROUND

Treatment for diverticular disease has evolved over time. In the United States, there has been a trend towards minimally invasive surgical approaches and fewer postoperative complications, but no study has investigated this subject in the Veterans Health Administration.

METHODS

This retrospective review identified patients undergoing elective surgery for diverticular disease from 2004 to 2018. Demographics, comorbidities, operative approach, rates of ostomy creation, and 30-day outcomes were compared. The 15-year time period was divided into 3-year increments to assess changes over time.

RESULTS

4198 patients were identified. Complication rate decreased significantly over time (28.1%-15.7%, p < 0.001), as did infectious complications (21.5-6.3%, p < 0.001). Median hospital length-of-stay decreased from 7 to 5 days (p < 0.001). Rates of laparoscopic surgery increased over time (17.7%-48.1%, p < 0.001).

CONCLUSIONS

Increased utilization of laparoscopy in veterans undergoing elective surgery for diverticular disease coincided with fewer complications and a shorter length-of-stay. These trends mirror outcomes reported in non-veterans.

Racial/ethnic and gender differences in receipt of brief intervention among patients with unhealthy alcohol use in the U.S. Veterans Health Administration

OBJECTIVE

Brief intervention (BI) for unhealthy alcohol use is a top prevention priority for adults in the U.S, but rates of BI receipt vary across patients. We examine BI receipt across race/ethnicity and gender in a national cohort of patients from the Department of Veterans Affairs (VA)-the largest U.S. integrated healthcare system and a leader in implementing preventive care for unhealthy alcohol use.

METHODS

Among 779,041 VA patients with documented race/ethnicity and gender who screened positive for unhealthy alcohol use (AUDIT-C score ≥ 5) between 10/1/09 and 5/30/13, we fit Poisson regression models to estimate the predicted prevalence of BI (EHR-documented advice to reduce or abstain from drinking) across race/ethnicity and gender.

RESULTS

Rates of BI were lowest among Black women (67%), Black men (68%), and Asian/Pacific Islander women (68%), and highest among white men (75%), Hispanic men (75%), and Asian/Pacific Islander men (75%). A significant race/ethnicity by gender interaction indicated that the associations between race/ethnicity and gender with BI depended on the other factor. Gender differences were largest among Asian/Pacific Islander patients and were nonsignificant among American Indian/Alaska Native patients. Adjustment for covariates not expected to be on the causal pathway (e.g., age, year of AUDIT-C screen) slightly attenuated but did not change the direction of results.

CONCLUSIONS

Receipt of BI for unhealthy alcohol use varied by race/ethnicity and gender, and the impact of one factor depended on the other. Black women, Black men, and Asian/Pacific Islander women had the lowest rates of receiving recommended alcohol-related care. We found these disparities in a healthcare system that has implemented universal alcohol screening and incentivized BI for all patients with unhealthy alcohol use, suggesting that reducing disparities in alcohol-related care may require targeted interventions.