Mortality Disparities in Racial/Ethnic Minority Groups in the Veterans Health Administration: An Evidence Review and Map

Postanesthesia Care Unit and Anesthetic Management Outcomes Among Patients Undergoing Noncardiac Surgery: Differences by Race and Ethnicity

PURPOSE

To investigate the association of patient race and ethnicity with postanesthesia care unit (PACU) outcomes in common, noncardiac surgeries requiring general anesthesia.

DESIGN

Single tertiary care academic medical center retrospective matched cohort.

METHODS

We matched 1:1 1836 adult patients by race and/or ethnicity undergoing common surgeries. We compared racial and ethnic minority populations (62 American Indian, 250 Asian, 315 Black or African American, 281 Hispanic, and 10 Pacific Islander patients) to 918 non-Hispanic White patients. The primary outcomes were: the use of an appropriate number of postoperative nausea and vomiting (PONV) prophylactics; the incidence of PONV; and the use of a propofol infusion as part of the anesthetic (PROP). Secondary outcomes were: the use of opioid-sparing multimodal analgesia, including the use of regional anesthesia for postoperative pain control; the use of any local anesthetic, including the use of liposomal bupivacaine; the duration until readiness for discharge from the PACU; the time between arrival to PACU and first pain score; and the time between the first PACU pain score of ≥4 and administration of an analgesic. Logistic and linear regression were used for relevant outcomes of interest.

FINDINGS

Overall, there were no differences in the appropriate number of PONV prophylactics, nor the incidence of PONV between the two groups. There was, however, a decreased use of PROP (OR = 0.80; 95% CI: 0.69, 0.94; P = .005), PACU length of stay was 9.56 minutes longer (95% CI: 2.62, 16.49; P = .007), and time between arrival to PACU and first pain score was 2.30 minutes longer in patients from racial and ethnic minority populations (95% CI: 0.99, 3.61; P = .001). There were no statistically significant differences in the other secondary outcomes.

CONCLUSIONS

The rate of appropriate number of PONV prophylactic medications as well as the incidence of PONV were similar in patients from racial and ethnic minority populations compared to non-Hispanic White patients. However, there was a lower use of PROP in racial and ethnic minority patients. It is important to have a health equity lens to identify differences in management that may contribute to disparities within each phase of perioperative care.

Sex and Race-Ethnic Disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease: An Analysis of 40,166 Individuals

BACKGROUND

To overcome the limitations of the term "non-alcoholic fatty liver disease" (NAFLD), the term metabolic-associated steatotic liver disease (MASLD) was introduced. While epidemiologic studies have been conducted on MASLD, there is limited evidence on its associated sex and ethnic variations.

AIMS

This study assesses the differences across sex and race-ethnicity on the prevalence, associated risk factors and adverse outcomes in individuals with MASLD.

METHODS

Data retrieved from the National Health and Nutrition Examination Survey between 1999 to 2018 was analyzed. Prevalence, clinical characteristics, and outcomes were evaluated according to sex and race-ethnicity. Adverse outcomes and mortality events were analyzed using multivariate analyses.

RESULTS

Of 40,166 individuals included, 37.63% had MASLD. There was a significant increase in MASLD prevalence from 1999 to 2018 among Mexican Americans (Annual Percentage Change [APC] + 1.889%, p < 0.001), other Hispanics (APC + 1.661%, p = 0.013), NH Whites (APC + 1.084%, p = 0.018), NH Blacks (APC + 1.108%, p = 0.007), and females (APC + 0.879%, p = 0.030), but not males. Females with MASLD were at lower risk of all-cause (HR: 0.766, 95%CI 0.711 to 0.825, p < 0.001), cardiovascular disease-related (CVD) (SHR: 0.802, 95% CI 0.698 to 0.922, p = 0.002) and cancer-related mortality (SHR: 0.760, 95% CI 0.662 to 0.873, p < 0.001). Significantly, NH Blacks have the highest risk of all-cause and CVD-related mortality followed by NH Whites then Mexican Americans.

CONCLUSION

There has been an increase in prevalence in most race-ethnicities over time. While the change in definition shows no significant differences in previous associations found in NAFLD, the increased mortality in NH Whites relative to Mexican Americans remains to be explored.

Health care utilization of Hispanic/Latino veterans with epilepsy: A national population-based study

OBJECTIVE

Hispanic/Latino people with epilepsy are a growing population that has been understudied in clinical epilepsy research. U.S. veterans are at a higher risk of epilepsy due to greater exposures including traumatic brain injury. Hispanic/Latino Veterans with Epilepsy (HL-VWEs) represent a growing population; however the treatment utilization patterns of this population have been vastly understudied.

METHODS

HL-VWE were identified from administrative databases during fiscal year 2019. Variables compared between Hispanic and non-Hispanic VWEs included demographics, rurality, service era, utilization of clinical services/investigations, and service-connected injury. Chi-square and Student's t tests were used for comparisons.

RESULTS

Among 56 556 VWEs, 3247 (5.7%) were HL. HL-VWEs were younger (59.2 vs 63.2 years; p < .01) and more commonly urban-dwelling (81.6% vs 63.2%, p < .01) compared to non-HL-VWEs. They were also more likely to have served in recent missions such as the Persian Gulf War and post- 9/11 wars (p < .01). HL-VWEs had a higher utilization of all neurology services examined including neurology clinic visits, computed tomography (CT) scans, magnetic resonance imaging (MRI) scans, electroencephalography (EEG), epilepsy monitoring, and comprehensive epilepsy care (p < .01 for all). HL-VWEs were more likely to visit an emergency room or have seizure-related hospitalizations (p < .01). HL-VWEs were more likely to have a service-connected disability greater or equal to 50% (p < .01).

SIGNIFICANCE

This study is one of the largest cohorts examining HL-VWEs. We found higher utilization of services in neurology, epilepsy, and neuroimaging by HL-VWEs. HL-VWE are younger, more commonly urban-dwelling, and more likely to have served during recent combat periods and have higher amounts of service-connected disability. Given that the proportion of Hispanic veterans is projected to rise over time, more research is needed to provide the best interventions and mitigate the long-term impact of epilepsy on this diverse patient group.

Racial and Ethnic Differences in Health Care Experiences for Veterans Receiving VA Community Care from 2016 to 2021

BACKGROUND

Prior research documented racial and ethnic disparities in health care experiences within the Veterans Health Administration (VA). Little is known about such differences in VA-funded community care programs, through which a growing number of Veterans receive health care. Community care is available to Veterans when care is not available through the VA, nearby, or in a timely manner.

OBJECTIVE

To examine differences in Veterans' experiences with VA-funded community care by race and ethnicity and assess changes in these experiences from 2016 to 2021.

DESIGN

Observational analyses of Veterans' ratings of community care experiences by self-reported race and ethnicity. We used linear and logistic regressions to estimate racial and ethnic differences in community care experiences, sequentially adjusting for demographic, health, insurance, and socioeconomic factors.

PARTICIPANTS

Respondents to the 2016-2021 VA Survey of Healthcare Experiences of Patients-Community Care Survey.

MEASURES

Care ratings in nine domains.

KEY RESULTS

The sample of 231,869 respondents included 24,306 Black Veterans (mean [SD] age 56.5 [12.9] years, 77.5% male) and 16,490 Hispanic Veterans (mean [SD] age 54.6 [15.9] years, 85.3% male). In adjusted analyses pooled across study years, Black and Hispanic Veterans reported significantly lower ratings than their White and non-Hispanic counterparts in five of nine domains (overall rating of community providers, scheduling a recent appointment, provider communication, non-appointment access, and billing), with adjusted differences ranging from - 0.04 to - 0.13 standard deviations (SDs) of domain scores. Black and Hispanic Veterans reported higher ratings with eligibility determination and scheduling initial appointments than their White and non-Hispanic counterparts, and Black Veterans reported higher ratings of care coordination, with adjusted differences of 0.05 to 0.21 SDs. Care ratings improved from 2016 to 2021, but differences between racial and ethnic groups persisted.

CONCLUSIONS

This study identified small but persistent racial and ethnic differences in Veterans' experiences with VA-funded community care, with Black and Hispanic Veterans reporting lower ratings in five domains and, respectively, higher ratings in three and two domains. Interventions to improve Black and Hispanic Veterans' patient experience could advance equity in VA community care.

Evaluation of regional variation in racial and ethnic differences in patient experience among Veterans Health Administration primary care users

OBJECTIVE

To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level.

DATA SOURCE AND STUDY SETTING

We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019.

STUDY DESIGN

We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender.

DATA COLLECTION/EXTRACTION METHODS

We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence.

PRINCIPAL FINDINGS

Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination.

CONCLUSIONS

We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation.

Factors Associated with Delayed Care Among Women Veterans Actively Engaged in Primary Care

Background: Delaying needed medical care contributes to greater health risks and higher long-term medical costs. Women Veterans with complex medical and mental health needs face increased barriers to timely care access. Objectives: In a sample of women Veterans with recent engagement in Veterans Administration (VA) primary care, we aimed to compare characteristics of women Veterans who delayed care in the past 6 months with those who did not and examine factors associated with self-reported delayed care. Our study aims to inform interventions focused on eliminating health care access disparities among women Veterans. Materials and Methods: An innovation to improve women Veterans' engagement and retention in evidence-based health care for cardiovascular (CV) risk reduction (CV Toolkit) was implemented across five primary care sites within the VA. Women Veterans who were exposed to at least one CV Toolkit component participated in a mailed survey (n = 253). We used multivariate logistic regression to model factors associated with delaying care, including trust in VA providers, positive mental health screening (i.e., positive screen for either depression or anxiety), traumatic experience, self-rated health, and age. Results: Women with any mental health symptoms (odds ratio [OR] 2.42, 95% confidence interval [CI]: 1.23-4.74) and women who had experienced a traumatic event (OR 2.61, 95%CI: 1.11-6.14) were significantly more likely to report delaying care. Conclusions: Our study identified high rates of delayed care-over one-third of respondents-among women Veterans with recent primary care engagement. Mental health symptoms were the most common reported reason for delay among those who delayed care. Clinical Trial registration: NCT02991534.

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.

Racial Differences in 1-Year Mortality after Hospitalization for Chronic Obstructive Pulmonary Disease in the United States

Rationale: One quarter of Medicare beneficiaries hospitalized for chronic obstructive pulmonary disease (COPD) die within 1 year. Although overall mortality rates are higher among White patients with COPD, racial and ethnic differences in the vulnerable period following hospitalization are unknown.Objectives: To determine the association between race and ethnicity and mortality following COPD hospitalization and to evaluate the extent to which differences are explained by clinical, geographic, socioeconomic, and post-acute care factors among Medicare beneficiaries in the United States.Methods: In this retrospective cohort study of Medicare beneficiaries hospitalized for COPD exacerbation, we constructed Cox regression models for 1-year mortality accounting for hospital-level clustering; sequentially adjusting for clinical, geographic, neighborhood socioeconomic, and post-acute care characteristics; and stratifying by sex and individual socioeconomic status.Results: Among 244,624 hospitalizations, Medicare beneficiaries of racial and ethnic minority groups had a lower risk of dying within 1 year of hospitalization than those of White race (hazard ratios, 0.78 [95% confidence interval, 0.75-0.80] for Black patients, 0.79 [0.76-0.82] for Hispanic patients, and 0.82 [0.77-0.86] for others). Differences in visits to physicians, attendance of pulmonary rehabilitation, and discharge disposition explained some of the mortality gap among dual-eligible beneficiaries but not among non-dual-eligible beneficiaries.Conclusions: Medicare beneficiaries of White race are at greater risk of mortality following COPD hospitalization compared with beneficiaries of minority race and ethnicity groups. Our findings should be interpreted in the context of the selection of a hospitalized population and a potentially incomplete assessment of illness severity in administrative data, and warrant further investigation.

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 Does Not Affect Rates of Surgical Complications at Military Treatment Facility

INTRODUCTION

Racial minorities have been found to have worse health care outcomes, including perioperative adverse events. We hypothesized that these racial disparities may be mitigated in a military treatment facility, where all patients have a military service connection and are universally insured.

MATERIALS AND METHODS

This is a single institution retrospective review of American College of Surgeons National Surgical Quality Improvement Program data for all procedures collected from 2017 to 2020. The primary outcome analyzed was risk-adjusted 30-day postoperative complications compared by race.

RESULTS

There were 6,941 patients included. The overall surgical complication rate was 6.9%. The complication rate was 7.3% for White patients, 6.5% for Black patients, 12.6% for Asian patients, and 3.4% for other races. However, after performing patient and procedure level risk adjustment using multivariable logistic regression, race was not independently associated with surgical complications.

CONCLUSIONS

Risk-adjusted surgical complication rates do not vary by race at this military treatment facility. This suggests that postoperative racial disparities may be mitigated within a universal health care system.

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis

BACKGROUND

Researchers are increasingly interested in better methods for assessing the pace of aging in older adults, including vocal analysis. The present study sought to determine whether paralinguistic vocal attributes improve estimates of the age and risk of mortality in older adults.

METHODS

To measure vocal age, we curated interviews provided by male U.S. World War II Veterans in the Library of Congress collection. We used diarization to identify speakers and measure vocal features and matched recording data to mortality information. Veterans (N = 2 447) were randomly split into testing (n = 1 467) and validation (n = 980) subsets to generate estimations of vocal age and years of life remaining. Results were replicated to examine out-of-sample utility using Korean War Veterans (N = 352).

RESULTS

World War II Veterans' average age was 86.08 at the time of recording and 91.28 at the time of death. Overall, 7.4% were prisoners of war, 43.3% were Army Veterans, and 29.3% were drafted. Vocal age estimates (mean absolute error = 3.255) were within 5 years of chronological age, 78.5% of the time. With chronological age held constant, older vocal age estimation was correlated with shorter life expectancy (aHR = 1.10; 95% confidence interval: 1.06-1.15; p < .001), even when adjusting for age at vocal assessment.

CONCLUSIONS

Computational analyses reduced estimation error by 71.94% (approximately 8 years) and produced vocal age estimates that were correlated with both age and predicted time until death when age was held constant. Paralinguistic analyses augment other assessments for individuals when oral patient histories are recorded.

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.

The national utilization of nonoperative management for small renal masses over 10 years

BACKGROUND

Management of small renal masses often involves a nonoperative approach, but there is a paucity of information about the use and associated predictors of such approaches. This study aimed to determine the trends in and predictors of use of nonoperative management of small renal masses.

METHODS

Using data from the National Cancer Database for localized small renal masses (N0/M0, cT1a) diagnosed between 2010 and 2020, we conducted a cross-sectional study. Nonoperative management was defined as expectant management (active surveillance or watchful waiting) or focal ablation. Adjusted odds ratios (AORs) were calculated using multivariable logistic regression models.

RESULTS

Of the 156 734 patients included, 10.5% underwent expectant management, and 13.9% underwent focal ablation. Later year of diagnosis was associated with a higher likelihood of nonoperative management. In 2020, the odds of receiving expectant management and focal ablation were 90% (AOR = 1.90, 95% confidence interval [CI] = 1.71 to 2.11) and 44% (AOR = 1.44, 95% CI = 1.31 to 1.57) higher, respectively, than in 2010. Black patients had increased odds of expectant management (AOR = 1.47, 95% CI = 1.39 to 1.55) but decreased odds of focal ablation (AOR = 0.93, 95% CI = 0.88 to 0.99).

CONCLUSION

Over the decade, the use nonoperative management of small renal masses increased, with expectant management more frequently used than focal ablation among Black patients. Possible explanations include race-based differences in physicians' risk assessments and resource allocation. Adjusting for Black race in calculations for glomerular filtration rate could influence the differential uptake of these techniques through deflated glomerular filtration rate calculations. These findings highlight the need for research and policies to ensure equitable use of less invasive treatments in small renal masses.

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.

Differences in liver and mortality outcomes of non-alcoholic fatty liver disease by race and ethnicity: A longitudinal real-world study

BACKGROUND/AIMS

Understanding of nonalcoholic fatty liver disease (NAFLD) continues to expand, but the relationship between race and ethnicity and NAFLD outside the use of cross-sectional data is lacking. Using longitudinal data, we investigated the role of race and ethnicity in adverse outcomes in NAFLD patients.

METHODS

Patients with NAFLD confirmed by imaging via manual chart review from any clinics at Stanford University Medical Center (1995-2021) were included. Primary study outcomes were incidence of liver events and mortality (overall and non-liver related).

RESULTS

The study included 9,340 NAFLD patients: White (44.1%), Black (2.29%), Hispanic (27.9%), and Asian (25.7%) patients. For liver events, the cumulative 5-year incidence was highest among White (19.1%) patients, lowest among Black (7.9%) patients, and similar among Asian and Hispanic patients (~15%). The 5-year and 10-year cumulative overall mortality was highest for Black patients (9.2% and 15.0%, respectively, vs. 2.5-3.5% and 4.3-7.3% in other groups) as well as for non-liver mortality. On multivariable regression analysis, compared to White patients, only Asian group was associated with lower liver-related outcomes (aHR: 0.83, P=0.027), while Black patients were at more than two times higher risk of both non-liver related (aHR: 2.35, P=0.010) and overall mortality (aHR: 2.13, P=0.022) as well as Hispanic patients (overall mortality: aHR: 1.44, P=0.022).

CONCLUSION

Compared to White patients, Black patients with NAFLD were at the highest risk for overall and non-liver-related mortality, followed by Hispanic patients with Asian patients at the lowest risk for all adverse outcomes. Culturally sensitive and appropriate programs may be needed for more successful interventions.

Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011-2019

INTRODUCTION

Despite advances in diabetes management, only one-quarter of people with diabetes in the US achieve optimal targets for glycated hemoglobin A1c (HbA1c), blood pressure, and cholesterol. We sought to evaluate temporal trends and predictors of achieving glycemic control among adults with type 2 diabetes covered by Alabama Medicaid from 2011 through 2019.

METHODS

We completed a retrospective analysis of Medicaid claims and laboratory data, using person-years as the unit of analysis. Inclusion criteria were being aged 19 to 64 years, having a diabetes diagnosis, being continuously enrolled in Medicaid for a calendar year and preceding 12 months, and having at least 1 HbA1c result during the study year. Primary outcomes were HbA1c thresholds of <7% and <8%. Primary exposure was study year. We conducted separate multivariable-adjusted logistic regressions to evaluate relationships between study year and HbA1c thresholds.

RESULTS

We included 43,997 person-year observations. Mean (SD) age was 51.0 (9.9) years; 69.4% were women; 48.1% were Black, 42.9% White, and 0.4% Hispanic. Overall, 49.1% had an HbA1c level of <7% and 64.6% <8%. Later study years and poverty-based eligibility were associated with lower probability of reaching target HbA1c levels of <7% or <8%. Sex, race, ethnicity, and geography were not associated with likelihood of reaching HbA1c <7% or <8% in any model.

CONCLUSION

Later study years were associated with lower likelihood of meeting target HbA1c levels compared with 2011, after adjusting for covariates. With approximately 35% not meeting an HbA1c target of <8%, more work is needed to improve outcomes of low-income adults with type 2 diabetes.

Associations of Race and Ethnicity with Hepatocellular Carcinoma, Decompensation, and Mortality in US Veterans with Cirrhosis

BACKGROUND

Among patients with cirrhosis, it remains unclear whether there are racial/ethnic differences in cirrhosis complications and mortality. We examined the associations between race/ethnicity and risk for hepatocellular carcinoma (HCC), cirrhosis decompensation, and all-cause mortality overall and by cirrhosis etiology.

METHODS

US Veterans diagnosed with cirrhosis from 2001 to 2014 (n = 120,992), due to hepatitis C virus (HCV; n = 55,814), alcohol-associated liver disease (ALD; n = 36,323), hepatitis B virus (HBV; n = 1,972), nonalcoholic fatty liver disease (NAFLD; n = 17,789), or other (n = 9,094), were followed through 2020 for incident HCC (n = 10,242), cirrhosis decompensation (n = 27,887), and mortality (n = 81,441). Multivariable Cox proportional hazards regression was used to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI).

RESULTS

Compared with non-Hispanic White patients, Hispanic patients had higher risk for HCC overall (aHR, 1.32; 95% CI, 1.24-1.41) and by cirrhosis etiology, particularly for ALD- (aHR, 1.63; 95% CI, 1.42-1.87) and NAFLD-cirrhosis (aHR, 1.76; 95% CI, 1.41-2.20), whereas non-Hispanic Black patients had lower HCC risk in ALD- (aHR, 0.79; 95% CI, 0.63-0.98) and NAFLD-cirrhosis (aHR, 0.54; 95% CI, 0.33-0.89). Asian patients had higher HCC risk (aHR, 1.70; 95% CI, 1.29-2.23), driven by HCV- and HBV-cirrhosis. Non-Hispanic Black patients had lower risk for cirrhosis decompensation overall (aHR, 0.71; 95% CI, 0.68-0.74) and by cirrhosis etiology. There was lower risk for mortality among all other racial/ethnic groups compared with non-Hispanic White patients.

CONCLUSIONS

Race/ethnicity is an important predictor for risk of developing HCC, decompensation, and mortality.

IMPACT

Future research should examine factors underlying these racial/ethnic differences to inform prevention, screening, and treatment for patients with cirrhosis.

Diagnosis and Management of Cardiovascular Risk in Individuals With Spinal Cord Injury: A Narrative Review

More than 16 000 Americans experience spinal cord injury (SCI), resulting in chronic disability and other secondary sequelae, each year. Improvements in acute medical management have increased life expectancy. Cardiovascular disease is a leading cause of death in this population, and seems to occur earlier in individuals with SCI compared with the general population. People with SCI experience a high burden of traditional cardiovascular disease risk factors, including dyslipidemia and diabetes, and demonstrate anatomic, metabolic, and physiologic changes alongside stark reductions in physical activity after injury. They also experience multiple, complex barriers to care relating to disability and, in many cases, compounding effects of intersecting racial and socioeconomic health inequities. Given this combination of risk factors, some investigators have proposed that people with SCI are at increased risk for cardiovascular disease, beyond that associated with traditional risk factors, and SCI could be considered a risk-enhancing factor, analogous to other risk-enhancing factors defined by the 2019 American Heart Association/American College of Cardiology Primary Prevention Guidelines. However, more research is needed in this population to clarify the role of traditional risk factors, novel risk factors, health care access, social determinants of health, and intersectionality of disability, race, and socioeconomic status. There is an urgent need for primary care physicians and cardiologists to have awareness of the importance of timely diagnosis and management of cardiac risk factors for people with SCI.

Team-Based Qualitative Rapid Analysis: Approach and Considerations for Conducting Developmental Formative Evaluation for Intervention Design

Qualitative rapid analysis is one of many rapid research approaches that offer a solution to the problem of time constrained health services evaluations and avoids sacrificing the richness of qualitative data that is needed for intervention design. We describe modifications to an established team-based, rapid analysis approach that we used to rapidly collect and analyze semi-structured interview data for a developmental formative evaluation of a cardiovascular disease prevention intervention. Over 18 weeks, we conducted and analyzed 35 semi-structured interviews that were conducted with patients and health care providers in the Veterans Health Administration to identify targets for adapting the intervention in preparation for a clinical trial. We identified 12 key themes describing actionable targets for intervention modification. We highlight important methodological decisions that allowed us to maintain rigor when using qualitative rapid analysis for intervention adaptation and we provide practical guidance on the resources needed to execute similar qualitative studies. We additionally reflect on the benefits and challenges of the described approach when working within a remote research team environment.ClinicalTrials.gov: NCT04545489.

Development and Validation of a Lifespan Prediction Model in Chinese Adults Aged 65 Years or Older

OBJECTIVES

Previous studies investigated factors associated with mortality. Nevertheless, evidence is limited regarding the determinants of lifespan. We aimed to develop and validate a lifespan prediction model based on the most important predictors.

DESIGN

A prospective cohort study.

SETTING AND PARTICIPANTS

A total of 23,892 community-living adults aged 65 years or older with confirmed death records between 1998 and 2018 from 23 provinces in China.

METHODS

Information including demographic characteristics, lifestyle, functional health, and prevalence of diseases was collected. The risk prediction model was generated using multivariate linear regression, incorporating the most important predictors identified by the Lasso selection method. We used 1000 bootstrap resampling for the internal validation. The model performance was assessed by adjusted R2, root mean square error (RMSE), mean absolute error (MAE), and intraclass correlation coefficient (ICC).

RESULTS

Twenty-one predictors were included in the final lifespan prediction model. Older adults with longer lifespans were characterized by older age at baseline, female, minority race, living in rural areas, married, with healthier lifestyles and more leisure engagement, better functional status, and absence of diseases. The predicted lifespans were highly consistent with observed lifespans, with an adjusted R2 of 0.893. RMSE was 2.86 (95% CI 2.84-2.88) and MAE was 2.18 (95% CI 2.16-2.20) years. The ICC between observed and predicted lifespans was 0.971 (95% CI 0.971-0.971).

CONCLUSIONS AND IMPLICATIONS

The lifespan prediction model was validated with good performance, the web-based prediction tool can be easily applied in practical use as it relies on all easily accessible variables.

Enhanced Identification of Hispanic Ethnicity Using Clinical Data: A Study in the Largest Integrated United States Health Care System

BACKGROUND

Collection of accurate Hispanic ethnicity data is critical to evaluate disparities in health and health care. However, this information is often inconsistently recorded in electronic health record (EHR) data.

OBJECTIVE

To enhance capture of Hispanic ethnicity in the Veterans Affairs EHR and compare relative disparities in health and health care.

METHODS

We first developed an algorithm based on surname and country of birth. We then determined sensitivity and specificity using self-reported ethnicity from the 2012 Veterans Aging Cohort Study survey as the reference standard and compared this to the research triangle institute race variable from the Medicare administrative data. Finally, we compared demographic characteristics and age-adjusted and sex-adjusted prevalence of conditions in Hispanic patients among different identification methods in the Veterans Affairs EHR 2018-2019.

RESULTS

Our algorithm yielded higher sensitivity than either EHR-recorded ethnicity or the research triangle institute race variable. In 2018-2019, Hispanic patients identified by the algorithm were more likely to be older, had a race other than White, and foreign born. The prevalence of conditions was similar between EHR and algorithm ethnicity. Hispanic patients had higher prevalence of diabetes, gastric cancer, chronic liver disease, hepatocellular carcinoma, and human immunodeficiency virus than non-Hispanic White patients. Our approach evidenced significant differences in burden of disease among Hispanic subgroups by nativity status and country of birth.

CONCLUSIONS

We developed and validated an algorithm to supplement Hispanic ethnicity information using clinical data in the largest integrated US health care system. Our approach enabled clearer understanding of demographic characteristics and burden of disease in the Hispanic Veteran population.

The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients

BACKGROUND

Previous studies have been inconclusive about racial disparities in sepsis. This study evaluated the impact of ethnic background on management and outcome in sepsis and septic shock.

METHODS

This analysis included 17,146 patients suffering from sepsis and septic shock from the multicenter eICU Collaborative Research Database. Generalized estimated equation (GEE) population-averaged models were used to fit three sequential regression models for the binary primary outcome of hospital mortality.

RESULTS

Non-Hispanic whites were the predominant group (n = 14,124), followed by African Americans (n = 1,852), Hispanics (n = 717), Asian Americans (n = 280), Native Americans (n = 146) and others (n = 830). Overall, the intensive care treatment and hospital mortality were similar between all ethnic groups. This finding was concordant in patients with septic shock and persisted after adjusting for patient-level variables (age, sex, mechanical ventilation, vasopressor use and comorbidities) and hospital variables (teaching hospital status, number of beds in the hospital).

CONCLUSION

We could not detect ethnic disparities in the management and outcomes of critically ill septic patients and patients suffering from septic shock. Disparate outcomes among critically ill septic patients of different ethnicities are a public health, rather than a critical care challenge.

Racial, Ethnic, and Rural Disparities in US Veteran COVID-19 Vaccine Rates

Background

Race, ethnicity, and rurality-related disparities in coronavirus disease 2019 (COVID-19) vaccine uptake have been documented in the United States (US).

Objective

We determined whether these disparities existed among patients at the Department of Veterans Affairs (VA), the largest healthcare system in the US.

Design Settings Participants Measurements

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).

Results

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].

Conclusions

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.

Nursing leadership and influence in practice domains at a Veterans Affairs Health Care System

BACKGROUND

Studies in Veteran populations have examined disparities in health service use, care quality, outcomes and increased demands for behavioral health.

PURPOSE

The purpose is to describe the development of nursing leadership roles that influenced practice improvements and demonstrated outcomes related to health disparities in a Veterans Affairs (VA) population over a 12-year period.

METHODS

The Sundean and colleagues' concept analysis of nurse leadership influence was applied to frame the initiative process and impacts.

DISCUSSION

Antecedents and processes that facilitated leadership development included mentorship, disparities expertise, partnerships, consultation, scholarship, dissemination, advocacy, education, and strong coauthor collaboration. Improvements and outcomes included access to services, improved health indicators, tools, workforce, funding, innovations, and nurse investigator studies, consistent with VA priorities and policy related to disparities and equity. Limitations and barriers were addressed.

CONCLUSION

This initiative models' strategies to increase nurse leadership in health equity and care transformation in health systems and community practices.

Patient Perspectives on Artificial Intelligence in Healthcare Decision Making: A Multi-Center Comparative Study

Objective

Investigate the patient opinion on the use of Artificial Intelligence (AI) in Orthopaedics.

Methods

397 orthopaedic patients from a large urban academic center and a rural health system completed a 37-component survey querying patient demographics and perspectives on clinical scenarios involving AI. An average comfort score was calculated from thirteen Likert-scale questions (1, not comfortable; 10, very comfortable). Secondary outcomes requested a binary opinion on whether it is acceptable for patient healthcare data to be used to create AI (yes/no) and the impact of AI on: orthopaedic care (positive/negative); healthcare cost (increase/decrease); and their decision to refuse healthcare if cost increased (yes/no). Bivariate and multivariable analyses were employed to identify characteristics that impacted patient perspectives.

Results

The average comfort score across the population was 6.4, with significant bivariate differences between age (p = 0.0086), gender (p = 0.0001), education (p = 0.0029), experience with AI/ML (p < 0.0001), survey format (p < 0.0001), and four binary outcomes (p < 0.05). When controlling for age and education, multivariable regression identified significant relationships between comfort score and experience with AI/ML (p = 0.0018) and each of the four binary outcomes (p < 0.05). In the final multivariable model gender, survey format, perceived impact of AI on orthopaedic care, and the decision to refuse care if it were to increase cost remained significantly associated with the average AI comfort score (p < 0.05). Additionally, patients were not comfortable undergoing surgery entirely by a robot with distant physician supervision compared to close supervision.

Conclusion

The orthopaedic patient appears comfortable with AI joining the care team.

Diversity, Equity, and Inclusion in Clinical Research: A Path Toward Precision Health for Everyone

Healthcare disparities are a persistent societal problem. One of the contributing factors to this status quo is the lack of diversity and representativeness of research efforts, which result in nongeneralizable evidence that, in turn, provides suboptimal means to enable the best possible outcomes at the individual level. There are several strategies that research teams can adopt to improve the diversity, equity, and inclusion (DEI) of their efforts; these strategies span the totality of the research path, from initial design to the shepherding of clinical data through a potential regulatory process. These strategies include more intentionality and DEI-based goal-setting, more diverse research and leadership teams, better community engagement to set study goals and approaches, better tailored outreach interventions, decentralization of study procedures and incorporation of innovative technology for more flexible data collection, and self-surveillance to identify and prevent biases. Within their remit of overlooking research efforts, regulatory authorities, as stakeholders, also have the potential for a positive effect on the DEI of emerging clinical evidence. All these are implementable tools and mechanisms that can make study participation more approachable to diverse communities, and ultimately generate evidence that is more generalizable and a conduit for better outcomes. The research community has an imperative to make DEI principles key foundational aspects in study conduct in order to pursue better personalized medicine for diverse patient populations.

Exploring racial/ethnic disparities in rehabilitation outcomes after TBI: A veterans affairs model systems study

BACKGROUND

Almost one-third of the U.S. military population is comprised of service members and veterans (SMVs) of color. Research suggests poorer functional and psychosocial outcomes among Black and Hispanic/Latine vs. White civilians following traumatic brain injury (TBI).

OBJECTIVE

This study examined racial/ethnic differences in 5-year functional independence and life satisfaction trajectories among SMVs who had undergone acute rehabilitation at one of five VA TBI Model Systems (TBIMS) Polytrauma Rehabilitation Centers (PRCs).

METHODS

Differences in demographic and injury-related factors were assessed during acute rehabilitation among White (n = 663), Black (n = 89) and Hispanic/Latine (n = 124) groups. Functional Independence Measure (FIM) Motor, FIM Cognitive, and Satisfaction with Life Scale (SWLS) scores were collected at 1, 2, and 5 years after injury. Racial/ethnic comparisons in these outcome trajectories were made using hierarchical linear modeling.

RESULTS

Black SMVs were less likely than White and Hispanic/Latine SMVs to have been deployed to a combat zone; there were no other racial/ethnic differences in any demographic or injury-related variable assessed. In terms of outcomes, no racial/ethnic differences emerged in FIM Motor, FIM cognitive, or SWLS trajectories.

CONCLUSION

The absence of observable racial/ethnic differences in 5-year outcome trajectories after TBI among SMVs from VA TBIMS PRCs contrasts sharply with previous research identifying disparities in these same outcomes and throughout the larger VA health care system. Individuals enrolled in VA PRCs are likely homogenized on key social determinants of health that would otherwise contribute to racial/ethnic disparities in outcome trajectories.

Ethnodemographic characterization of stroke incidence and burden of disease in hospital discharge records in Ecuador

Introduction

Stroke is the second most common cause of death and disability-adjusted life years (DALYs) globally. However, the incidence and impact of stroke by ethnicity and gender is frequently distinct. This is particularly the case in Ecuador where geographic and economic marginalization are often correlated with ethnic marginalization and the extent to which females lack the same opportunities as their male counterparts. The aim of this paper is to investigate the differential impacts in terms of stroke diagnosis and burden of disease by ethnicity and gender, using hospital discharge records over the years 2015-2020.

Methods

This paper calculates stroke incidence, and fatality rates using hospital discharge and death records over the years 2015-2020. The DALY package in R was employed to calculate the Disability Adjusted Life Years lost due to stroke in Ecuador.

Results

The results show that while the incidence rate of stroke in males (64.96 per 100,000 persons-year) is higher than that for females on average (57.84 per 100,000 persons-year), males accounted for 52.41% of all stroke cases and 53% of all surviving cases. Thus, hospital data suggests that females had a higher death rate when compared to males. Case fatality rates also differed significantly by ethnicity. The highest fatality rate corresponded to the Montubio ethnic group (87.65%), followed by Afrodescendants (67.21%). The estimated burden of disease of stroke calculated using Ecuadorian hospital records (2015-2020) varied from 1,468 to 2,991 DALY per 1,000 population on average.

Discussion

Differences in the burden of disease by ethnic group are likely to reflect differential access to care by region and socio-economic group, both of which are frequently correlated with ethnic composition in Ecuador. Equitable access to health services remains an important challenge in the country. The gender discrepancy in fatality rates suggests that there is a need for targeted educational campaigns to identify stroke signs early, especially in the female population.

Treatment Differences in Medical Therapy for Heart Failure With Reduced Ejection Fraction Between Sociodemographic Groups

BACKGROUND

There are sociodemographic disparities in outcomes of heart failure with reduced ejection fraction (HFrEF), but disparities in guideline-directed medical therapy (GDMT) remain poorly characterized.

OBJECTIVES

This study aimed to analyze GDMT treatment rates in eligible patients with recently diagnosed HFrEF, and to determine how rates vary by sociodemographic characteristics.

METHODS

This retrospective cohort study included patients diagnosed with HFrEF at Veterans Affairs (VA) hospitals from 2013 to 2019. The authors analyzed GDMT treatment rates and doses, excluding patients with contraindications. Therapies of interest were evidence-based beta-blockers (BBs), renin-angiotensin system inhibitors (RASIs), angiotensin receptor-neprilysin inhibitors (ARNIs), and mineralocorticoid antagonists (MRAs). The authors compared adjusted treatment rates by race and ethnicity, neighborhood social vulnerability, rurality, distance to medical care, and sex.

RESULTS

The cohort comprised 126,670 VA patients with recently diagnosed HFrEF. The study found that racial and ethnic minorities had similar or higher treatment rates than White patients. Patients residing in socially vulnerable neighborhoods had 3.4% lower ARNI (95% CI: 1.9%-5.0%) treatment rates. Patients residing farther from specialty care had similar rates of GDMT therapy overall, but were less likely to be taking at least 50% of the target doses of either BBs (4.0% less likely; 95% CI: 3.1%-5.0%) or RASIs (5.0% less likely; 95% CI: 4.1%-6.0%) compared with those closer to care.

CONCLUSIONS

Among VA patients with recently diagnosed HFrEF, the authors did not find that racial and ethnic minority patients were less likely to receive GDMT. However, appropriate dose up-titration may occur less frequently in more remote patients.

Identifying prescribing differences of direct oral anticoagulants for atrial fibrillation within the Military Health System

Background

Direct oral anticoagulants (DOACs) are a first-line anticoagulant therapy for eligible patients with atrial fibrillation. Prescribing differences in the Military Health System have not yet been assessed.

Methods

We conducted a retrospective cross-sectional study using administrative claims data from the Military Health System Data Repository from fiscal years 2018-2019. We identified TRICARE Prime and Prime Plus patients between the ages of 18 and 64 with a diagnosis of atrial fibrillation and a CHA2DS2-VASc score of ≥2. Descriptive statistics and odds of receiving DOACs by gender, age, race, and socioeconomic status were calculated.

Results

A total of 5289 TRICARE Prime and Prime Plus patients within the Military Health System who carried a diagnosis of atrial fibrillation and a CHA2DS2-VASc ≥2 were identified. Of all patients, 2373 (40.71 %) were prescribed a DOAC whereas 287 (4.92 %) were prescribed warfarin within 90 days of diagnosis of atrial fibrillation. Black patients were significantly less likely to be prescribed a DOAC compared to White patients (adjusted odds ratio [aOR], 0.82; 95 % CI 0.68-0.99), as were females compared to males (aOR, 0.64; 95 % CI 0.52-0.79). Senior officers were significantly more likely to be prescribed a DOAC compared to senior enlisted service members (aOR, 0.64; 95 % CI 0.52-0.79).

Conclusions

Our study shows that differences exist within the Military Health System in the prescription of DOACs for atrial fibrillation by race, gender, and socio-economic status. These differences cannot be explained by differences in access to insurance or cost of medications.

Rates of and Factors Associated With Primary and Booster COVID-19 Vaccine Receipt by US Veterans, December 2020 to June 2022

Importance

COVID-19 vaccination rates remain suboptimal in the US. Identifying factors associated with vaccination can highlight existing gaps and guide targeted interventions to improve vaccination access and uptake.

Objective

To describe incidence and patient characteristics associated with primary, first booster, and second booster COVID-19 vaccination in the Veterans Health Administration (VHA).

Design, Setting, and Participants

This retrospective cohort study assessed US veterans receiving care in VHA medical centers and outpatient clinics as of December 1, 2020. All VHA enrollees with an inpatient, outpatient, or telehealth encounter in VHA as well as a primary care physician appointment in the preceding 24 months were included.

Exposures

Demographic characteristics, place of residence, prior SARS-CoV-2 infection, and underlying medical conditions.

Main Outcomes and Measures

Cumulative incidence of primary, first booster, and second booster COVID-19 vaccination through June 2022. Cox proportional hazards regression was used to identify factors independently associated with COVID-19 vaccination.

Results

Among 5 632 413 veterans included in the study, 5 094 392 (90.4%) were male, the median (IQR) age was 66 (51-74) years, 1 032 334 (18.3%) were Black, 448 714 (8.0%) were Hispanic, and 4 202 173 (74.6%) were White. Through June 2022, cumulative incidences were 69.0% for primary vaccination, 42.9% for first booster, and 9.3% for second booster. Cumulative incidence for primary vaccination increased with increasing age, from 46.9% (95% CI, 46.8%-47.0%) among veterans aged 18 to 49 years to 82.9% (95% CI, 82.8%-83.0%) among veterans aged 80 to 84 years. More Black veterans completed primary vaccination (71.7%; 95% CI, 71.6%-71.8%) compared with White veterans (68.9%; 95% CI, 68.9%-69.0%), and more urban-dwelling veterans completed primary vaccination (70.9%; 95% CI, 70.9%-71.0%) compared with highly rural-dwelling veterans (63.8%; 95% CI, 63.4%-64.1%). Factors independently associated with higher likelihood of both primary and booster vaccination included older age, female sex, Asian or Black race, Hispanic ethnicity, urban residence, and lack of prior SARS-CoV-2 infection.

Conclusions and Relevance

In this cohort study of US veterans, COVID-19 vaccination coverage through June 2022 was suboptimal. Primary vaccination can be improved among younger, rural-dwelling veterans. Greater uptake of booster vaccination among all veterans is needed.

The Microbiome and Mental Health Across the Lifespan

INTRODUCTION

The combined genetic material of the microorganisms in the human body, known as the microbiome, is being increasingly recognized as a major determinant of human health and disease. Although located predominantly on mucosal surfaces, these microorganisms have profound effects on brain functioning through the gut-brain axis.

METHOD

The content of the chapter is based on a study group session at the annual meeting of the American College of Neuropsychopharmacology (ACNP). The objective was to discuss the emerging relationship between the human microbiome and mental health as relevant to ACNP's interests in developing and evaluating novel neuropsychiatric treatment strategies. The focus is on specific brain disorders, such as schizophrenia, substance use, and Alzheimer's disease, as well as on broader clinical issues such as suicidality, loneliness and wisdom in old age, and longevity.

RESULTS

Studies of schizophrenia indicate that the microbiome of individuals with this disorder differs from that of non-psychiatric comparison groups in terms of diversity and composition. Differences are also found in microbial metabolic pathways. An early study in substance use disorders found that individuals with this disorder have lower levels of beta diversity in their oral microbiome than a comparison group. This measure, along with others, was used to distinguish individuals with substance use disorders from controls. In terms of suicidality, there is preliminary evidence that persons who have made a suicide attempt differ from psychiatric and non-psychiatric comparison groups in measures of beta diversity. Exploratory studies in Alzheimer's disease indicate that gut microbes may contribute to disease pathogenesis by regulating innate immunity and neuroinflammation and thus influencing brain function. In another study looking at the microbiome in older adults, positive associations were found between wisdom and alpha diversity and negative associations with subjective loneliness. In other studies of older adults, here with a focus on longevity, individuals with healthy aging and unusually long lives had an abundance of specific microorganisms which distinguished them from other individuals.

DISCUSSION

Future studies would benefit from standardizing methods of sample collection, processing, and analysis. There is also a need for the standardized collection of relevant demographic and clinical data, including diet, medications, cigarette smoking, and other potentially confounding factors. While still in its infancy, research to date indicates a role for the microbiome in mental health disorders and conditions. Interventions are available which can modulate the microbiome and lead to clinical improvements. These include microbiome-altering medications as well as probiotic microorganisms capable of modulating the inflammation in the brain through the gut-brain axis. This research holds great promise in terms of developing new methods for the prevention and treatment of a range of human brain disorders.

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as risk factors for mortality in Peruvian adults with chronic kidney disease

Objective

To assess the association between the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with all-cause mortality in Peruvian patients with chronic kidney disease (CKD) attending a tertiary hospital.

Methods

We conducted a retrospective cohort study in adults with CKD in stages 1–5. The outcome variable was mortality and as variables of exposure to NLR and PLR. Both ratios were categorized as high with a cutoff point of 3.5 and 232.5, respectively. We carried out a Cox regression model and calculated crude and adjusted hazard ratios (HR) with their 95% confidence interval (95% CI).

Results

We analyzed 343 participants with a mean age of 78.3 (± 11.9) years and 62.9% (n = 216) men. The median follow-up time was 2.45 years (2.08–3.08), and the frequency of deaths was 17.5% (n = 60). The mortality of patients with high NLR was 28% compared to 15.7% of the group with normal NLR, and the mortality was 35.7% in those with high PLR and 15.6% in those with normal PLR. In the crude analysis, the high NLR and PLR were significantly associated with all-cause mortality (HR = 2.01; 95% CI 1.11–3.66) and (HR = 2.58; 95% CI 1.31–5.20). In the multivariate model, after adjusting for age, sex, serum creatinine, albumin and hemoglobin, the high NLR and PLR remained as independent risk factors for all-cause mortality (aHR = 1.97; 95% CI 1.05–3.69) and (aHR = 2.62; 95% CI 1.25–5.51), respectively.

Conclusion

Our study suggests the relationship between high NLR and PLR with all-cause mortality in patients with CKD.

Neonatal resuscitation from a global perspective

The majority of perinatal and neonatal mortality occurs in low-resource settings in low- and middle-income countries. Access and quality of care at delivery are major determinants of the health and survival of newborn infants. Availability of basic neonatal resuscitation care at birth has improved, but basic neonatal resuscitation at birth or high-quality care continues to be inaccessible in some settings, leading to persistently high perinatal and neonatal mortality. Low-resource settings of high-income countries and socially disadvantaged communities also suffer from inadequate access to quality perinatal healthcare. Quality improvement, implementation research, and innovation should focus on improving the quality of perinatal healthcare and perinatal and neonatal outcomes in low-resource settings. The current review presents an update on issues confronting universal availability of optimal resuscitation care at birth and provides an update on ongoing efforts to address them.

Uptake and Equity in Influenza Vaccination Among Veterans with VA Coverage, Veterans Without VA Coverage, and Non-Veterans in the USA, 2019-2020

BACKGROUND

Vaccination is a primary method of reducing the burden of influenza, yet uptake is neither optimal nor equitable. Single-tier, primary care-oriented health systems may have an advantage in the efficiency and equity of vaccination.

OBJECTIVE

To assess the association of Veterans' Health Administration (VA) coverage with influenza vaccine uptake and disparities.

DESIGN

Cross-sectional.

PARTICIPANTS

Adult respondents to the 2019-2020 National Health Interview Survey.

MAIN MEASURES

We examined influenza vaccination rates, and racial/ethnic and income-based vaccination disparities, among veterans with VA coverage, veterans without VA coverage, and adult non-veterans. We performed multivariable logistic regressions adjusted for demographics and self-reported health, with interaction terms to examine differential effects by race/ethnicity and income.

KEY RESULTS

Our sample included n=2,277 veterans with VA coverage, n=2,821 veterans without VA coverage, and n=46,456 non-veterans. Veterans were more often White and male; among veterans, those with VA coverage had worse health and lower incomes. Veterans with VA coverage had a higher unadjusted vaccination rate (63.0%) than veterans without VA coverage (59.1%) and non-veterans (46.5%) (p<0.05 for each comparison). In our adjusted model, non-veterans were 11.4 percentage points (95% CI -14.3, -8.5) less likely than veterans with VA coverage to be vaccinated, and veterans without VA coverage were 6.7 percentage points (95% CI -10.3, -3.0) less likely to be vaccinated than those with VA coverage. VA coverage, compared with non-veteran status, was also associated with reduced racial/ethnic and income disparities in vaccination.

CONCLUSIONS

VA coverage is associated with higher and more equitable influenza vaccination rates. A single-tier health system that emphasizes primary care may improve the uptake and equity of vaccination for influenza, and possibly other pathogens, like SARS-CoV2.

Returning Individual Research Results to Vulnerable Individuals

Although issues associated with returning individual research results to study participants have been well explored, these issues have been less thoroughly investigated in vulnerable individuals and populations. Considerations regarding return of research results to these individuals and populations, including how best to ensure truly informed consent, how to minimize the risks and benefits of the return of research results, and how best to ensure justice may differ from those of the population at large. This article discusses the issues and challenges associated with the return of individual research results (such as genomic, proteomic, or other biomarker data) to potentially vulnerable individuals and populations, including those who may be vulnerable for cognitive, communicative, institutional, social, deferential, medical, economic, or social reasons. It explores factors that should be considered in the design, conduct, and oversight of ethically responsible research involving the return of research results to vulnerable individuals and populations and discuss recommendations for those engaged in this work.

Preserving independence among under-resourced older adults in the Southeastern United States: existing barriers and potential strategies for research

Disability prevention and preservation of independence is crucial for successful aging of older adults. To date, relatively little is known regarding disparities in independent aging in a disadvantaged older adult population despite widely recognized health disparities reported in other populations and disciplines. In the U.S., the Southeastern region also known as “the Deep South”, is an economically and culturally unique region ravaged by pervasive health disparities – thus it is critical to evaluate barriers to independent aging in this region along with strategies to overcome these barriers. The objective of this narrative review is to highlight unique barriers to independent aging in the Deep South and to acknowledge gaps and potential strategies and opportunities to fill these gaps. We have synthesized findings of literature retrieved from searches of computerized databases and authoritative texts. Ultimately, this review aims to facilitate discussion and future research that will help to address the unique challenges to the preservation of independence among older adults in the Deep South region.

Temporal trends in Black-White disparities in cancer surgery and cancer-specific survival in the United States between 2007 and 2015

BACKGROUND

The American Society of Clinical Oncology (ASCO) has strived to address racial/ethnic disparities in cancer care since 2009. Surgery plays a pivotal role in cancer care; however, it is unclear whether and how racial/ethnic disparities in cancer surgery have changed over time.

METHODS

This cohort study included 1,113,256 White and Black cancer patients across 9 years (2007-2015) using patient data extracted from the Surveillance, Epidemiology, and End Results (SEER)-18 registries. Patient data were included from 2007 to adjust insurance status and by 2015 to obtain at least a 3-year survival follow-up (until 2018). The primary outcome was a surgical intervention. The secondary outcomes were the use of (neo)adjuvant chemotherapy and cancer-specific survival (CSS). Adjusted associations of the race (Black/White) with the outcomes were measured in each cancer type and year.

RESULTS

The gap between surgery rates for Black and White patients narrowed overall, from an adjusted odds ratio (aOR) of 0.621 (0.592-0.652) in 2007 to 0.734 (0.702-0.768) in 2015. However, the racial gap persisted in the surgery rates for lung, breast, prostate, esophageal, and ovarian cancers. In surgically treated patients with lymph node metastasis, Black patients with colorectal cancer (CRC) were less likely to receive (neo)adjuvant chemotherapy than White patients. Black patients undergoing surgery were more likely to have a worse CSS rate than White patients undergoing surgery. In breast cancer patients, the overall trend was narrow, but continuously present, with an adjusted hazard ratio (aHR) of 1.224 (1.278-1.173) in 2007 and 1.042 (1.132-0.96) in 2015.

CONCLUSIONS

Overall, progress has been made toward narrowing the Black-White gap in cancer surgical opportunity and survival. Future efforts should be directed toward those specific cancers for which the Black-White gap continues. Additionally, it is worth addressing the Black-White gap regarding the use of (neo)adjuvant chemotherapy for CRC treatment.

Obamacare: A bibliometric perspective

Obamacare is the colloquial name given to the Affordable Care Act (ACA) signed into law by President Obama in the USA, which ultimately aims to provide universal access to health care services for US citizens. The aim of this paper is to provide an overview of the political-legal, economic, social, management (or administrative), and medical (or health) repercussions of this law, using a bibliometric methodology as a basis. In addition, the main contributors to research on ACA issues have been identified in terms of authors, organizations, journals, and countries. The downward trend in scientific production on this law has been noted, and it has been concluded that a balance has not yet been reached between the coexistence of private and public health care that guarantees broad social coverage without economic or other types of barriers. The law requires political consensus to be implemented in a definitive and global manner for the whole of the United States.

Use of hospitals in the New York City Metropolitan Region, by race: how separate? How equal in resources and quality?

BACKGROUND

Although racial and ethnic minorities disproportionately use some hospitals, hospital-based racial and ethnic composition relative to geographic region and its association with quality indicators has not been systematically analyzed.

METHODS

We used four race and ethnicity categories: non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, and Asian/Pacific Islander/Alaskan Native/American Indian (API/AIAN), as well as a combined non-NHW category, from the 2010 (latest year publicly available) Medicare Institutional Provider & Beneficiary Summary public use file for 84 hospitals in the New York City region. We assessed the relative distribution of race and ethnicity across hospitals grouped at different geographic levels (region, county, hospital referral region [HRR], or hospital service areas [HSA]) using the dissimilarity index. Hospital characteristics included quality star ratings, essential professional services and diagnostic/treatment equipment, bed size, total expenses, and patients with dual Medicare and Medicaid enrollment. We assessed Spearman's rank correlation between hospital-based racial and ethnic composition and quality/structural measures.

RESULTS

Dissimilarity Index decreases from region (range 30.3-40.1%) to county (range 13.7-23.5%), HRR (range 10.5-27.5%), and HSA (range 12.0-16.9%) levels. Hospitals with larger non-NHW patients tended to have lower hospital ratings and higher proportions of dually-enrolled patients. They were also more likely to be safety net hospitals and non-federal governmental hospitals.

CONCLUSIONS

In the NYC metropolitan region, there is considerable hospital-based racial and ethnic segregation of Medicare patients among non-NHW populations, extending previous research limited to NHB. Availability of data on racial and ethnic composition of hospitals should be made publicly available for researchers and consumers.

Impact of Race on Outcomes of High-Risk Patients With Prostate Cancer Treated With Moderately Hypofractionated Radiotherapy in an Equal Access Setting

BACKGROUND

Moderately hypofractionated radiotherapy (MHRT) is an accepted treatment for localized prostate cancer; however, limited MHRT data address high-risk prostate cancer (HRPC) and/or African American patients. We report clinical outcomes and toxicity profiles for individuals with HRPC treated in an equal access system.

METHODS

We identified patients with HRPC treated with MHRT at a US Department of Veterans Affairs referral center. Exclusion criteria included < 12 months follow-up and elective nodal irradiation. MHRT included 70 Gy over 28 fractions or 60 Gy over 20 fractions. Acute and late gastrointestinal (GI) and genitourinary (GU) toxicities were graded using Common Terminology Criteria for Adverse Events, version 5.0. Clinical endpoints, including biochemical recurrence-free survival (BRFS), distant metastases-free survival (DMFS), overall survival (OS), and prostate cancer-specific survival (PCSS) were estimated using Kaplan-Meier methods. Clinical outcomes, acute toxicity, and late toxicity-free survival were compared between African American and White patients with logistic regression and log-rank testing.

RESULTS

Between November 2008 and August 2018, 143 patients with HRPC were treated with MHRT and followed for a median of 38.5 months; 82 (57%) were African American and 61 were White patients. Concurrent androgen deprivation therapy (ADT) was provided for 138 (97%) patients for a median duration of 24 months. No significant differences between African American and White patients were observed for 5-year OS (73% [95% CI, 58%-83%] vs 77% [95% CI, 60%-97%]; P = .55), PCSS (90% [95% CI, 79%-95%] vs 87% [95 % CI, 70%-95%]; P = .57), DMFS (91% [95% CI, 80%-96%] vs 81% [95% CI, 62%-91%]; P = .55), or BRFS (83% [95% CI, 70%-91%] vs 71% [95% CI, 53%-82%]; P = .57), respectively. Rates of acute grade 3+ GU and GI were low overall (4% and 1%, respectively). Late toxicities were similarly favorable with no significant differences by race.

CONCLUSIONS

Individuals with HRPC treated with MHRT in an equal access setting demonstrated favorable clinical outcomes that did not differ by race, alongside acceptable rates of acute and late toxicities.

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.

Provider reported challenges with completing death certificates: A focus group study demonstrating potential sources of error

Objectives

To characterize the experiences of providers in completing the cause of death section on death certificates, with particular reference to deaths in people who have cancer.

Methods

Focus groups were conducted until thematic saturation was reached, resulting in four groups over three months. Participants were from a variety of specialties and levels and types of training. Focus groups were recorded and transcribed verbatim and analyzed using constant comparison analysis.

Results

Three types of challenges to case classification were identified. 1) Infrastructural and procedural challenges encountered when completing death certificates, including the rigid structure of the form, lack of training in its completion, and lack of real-time feedback. 2) Clinical uncertainty and the varied approaches providers take to determine the cause of death based on their perception of the purpose of the death certificate. 3) Choosing cause of death in decedents with a history of cancer.

Conclusions

There are specific and substantial challenges in the death certification process that lead to errors in documenting the cause of death, but many of these challenges could be addressed with structural change to the forms or mechanism of training. Using these data to inform change could improve the death certification process and reliability of this data.

The effect of integrated health care in patients with hypertension and diabetes: a systematic review and meta-analysis

Background

A growing number of studies show that integrated health care provides comprehensive and continuous care to patients with hypertension or diabetes. However, there is still no consensus about the effect of integrated health care on patients with hypertension or diabetes. The objective of this study was to verify the effectiveness of integrated health care for patients with hypertension or diabetes by using a systematic review and meta-analysis.

Methods

The study searched multiple English and Chinese electronic databases. The search period was from database inception to 31 October 2020. Systematic reviews and meta-analyses were conducted after assessing the risk of bias of each study.

Results

Sixteen studies that involved 5231 patients were included in this study. The results of the systematic review revealed that systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI) and glycosylated haemoglobin (HbA1c) are commonly used indicators for patients with hypertension or diabetes. Individual models and group- and disease-specific models are the most commonly used models of integrated health care. All the studies were from high-income and middle-income countries. Meta-analysis showed that integrated health care significantly improved SBP, DBP and HbA1c but not BMI. A comparison of interventions lasting 6 and 12 months for diabetes was conducted, and HbA1c was decreased after 12 months. The changes in SBP and DBP were statistically significant after using group- and disease-specific model but not individual models. HbA1c was significantly improved after using group- and disease-specific models and individual models.

Conclusion

Integrated health care is a useful tool for disease management, and individual models and group- and disease-specific models are the most commonly used models in integrated health care. Group- and disease-specific models are more effective than individual models in the disease management of hypertension patients. The duration of intervention should be considered in the disease management of patients with diabetes, and interventions longer than 12 months are recommended. The income level may affect the model of integrated health care in selecting which disease to intervene, but this point still needs support from more studies.

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.

Association of Vitamin D Status and COVID-19-Related Hospitalization and Mortality

BACKGROUND

The relationship between vitamin D status and COVID-19-related clinical outcomes is controversial. Prior studies have been conducted in smaller, single-site, or homogeneous populations limiting adjustments for social determinants of health (race/ethnicity and poverty) common to both vitamin D deficiency and COVID-19 outcomes.

OBJECTIVE

To evaluate the dose-response relationship between continuous 25(OH)D and risk for COVID-19-related hospitalization and mortality after adjusting for covariates associated with both vitamin D deficiency and COVID-19 outcomes.

DESIGN

Retrospective cohort study.

PATIENTS

Veteran patients receiving care in US Department of Veteran Affairs (VA) health care facilities with a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test and a blood 25(OH)D test between February 20, 2020, and November 8, 2020, followed for up to 60 days.

MAIN MEASURES

Exposure was blood 25(OH)D concentration ascertained closest to and within 15 to 90 days preceding an index positive SARS-CoV-2 test. Co-primary study outcomes were COVID-19-related inpatient hospitalization requiring airborne, droplet, contact, or other isolation and mortality ascertained within 60 days of an index positive SARS-CoV-2 test.

KEY RESULTS

Of 4,599 veterans with a positive SARS-CoV-2 test, vitamin D deficiency (< 20 ng/mL) was identified in 665 (14.5%); 964 (21.0%) were hospitalized; and 340 (7.4%) died. After adjusting for all covariates, including race/ethnicity and poverty, there was a significant independent inverse dose-response relationship between increasing continuous 25(OH)D concentrations (from 15 to 60 ng/mL) and decreasing probability of COVID-19-related hospitalization (from 24.1 to 18.7%, p=0.009) and mortality (from 10.4 to 5.7%, p=0.001). In modeling 25(OH)D as a log-transformed continuous variable, the greatest risk for hospitalization and death was observed at lower 25(OH)D concentrations.

CONCLUSIONS

Continuous blood 25(OH)D concentrations are independently associated with COVID-19-related hospitalization and mortality in an inverse dose-response relationship in this large racially and ethnically diverse cohort of VA patients. Randomized controlled trials are needed to evaluate the impact of vitamin D supplementation on COVID-19-related outcomes.

Differences in complications, cardiovascular risk factor, and diabetes management among participants enrolled at veterans affairs (VA) and non-VA medical centers in the glycemia reduction approaches in diabetes: A comparative effectiveness study (GRADE)

AIMS

We evaluated differences in participants with type 2 diabetes (T2DM) enrolled in the GRADE study at VA vs non-VA sites, focusing on cardiovascular risk factors and rates of diabetes care target achievements.

METHODS

We compared baseline characteristics between participants at VA (n = 1216) and non-VA (n = 3831) sites, stratifying analyses by cardiovascular disease (CVD) history.

RESULTS

VA and non-VA participants had similar diabetes duration (4.0 years), HbA1c (7.5%), and BMI (34 kg/m²); however, VA participants had more individuals ≥ 65 years (37.3% vs 19.8%, p < 0.001), men (90.0% vs 55.2%, p < 0.001), hypertension (75.8% vs 63.6%, p < 0.001), hyperlipidemia (76.6% vs 64.6%, p < 0.001), current smokers (19.0% vs 12.1%, p < 0.001), nephropathy (20.4% vs 17.0%, p < 0.05), albuminuria (18.4% vs 15.1%, p < 0.05), and CVD (10.4% vs 5.2%, p < 0.001). In those without CVD, more VA participants were treated with lipid (70.8% vs 59.5%, p < 0.001) and blood pressure (74.9% vs 65.4%, p < 0.001) lowering medications, and had LDL-C < 70 mg/dl (32.9% vs 24.2%, p < 0.05). Among those with CVD, more VA participants had BP < 140/90 (80.2% vs 70.1%, p < 0.05) after adjusting for demographics.

CONCLUSION

GRADE participants at VA sites had more T2DM complications, greater CVD risk and were more likely to be treated with medications to reduce it, leading to more LDL-C at goal than non-VA participants, highlighting differences in diabetes populations and care.

Racial and Socioeconomic Disparities in CKD in the Context of Universal Health Care Provided by the Military Health System

Rationale & Objective

Health-impeding social determinants of health—including reduced access to care—contribute to racial and socioeconomic disparities in chronic kidney disease (CKD). The Military Health System (MHS) provides an opportunity to assess a large, diverse population for CKD disparities in the context of universal health care.

Study Design

Cross-sectional study.

Setting & Participants

MHS beneficiaries aged 18 to 64 years receiving care between October 1, 2015, and September 30, 2018.

Predictors

Race, sponsor’s rank (a proxy for socioeconomic status and social class), median household income by sponsor’s zip code, and marital status.

Outcome

CKD prevalence, defined by International Classification of Diseases, Tenth Revision codes and/or a validated, laboratory value-based electronic phenotype.

Analytical Approach

Multivariable logistic regression compared CKD prevalence by predictors, controlling separately for confounders (age, sex, active-duty status, sponsor’s service branch, and depression) and mediators (hypertension, diabetes, HIV, and body mass index).

Results

Of 3,330,893 beneficiaries, 105,504 (3.2%) had CKD. In confounder-adjusted models, the CKD prevalence was higher in Black versus White beneficiaries (OR, 1.67; 95% CI, 1.64-1.70), but lower in single versus married beneficiaries (OR, 0.77; 95% CI, 0.76-0.79). The prevalence of CKD was increased among those with a lower military rank and among those with a lower median household income in a nearly dose-response fashion (P < 0.0001). Associations were attenuated when further adjusting for suspected mediators.

Limitations

The cross-sectional design prevents causal inferences. We may have underestimated the CKD prevalence, given a lack of data for laboratory tests conducted outside the MHS and the use of a specific CKD definition. The transient nature of the MHS population may limit the accuracy of zip code–level median household income data.

Conclusions

Racial and socioeconomic CKD disparities exist in the MHS despite universal health care coverage. The existence of CKD disparities by rank and median household income suggests that social risks may contribute to both racial and socioeconomic disparities despite access to universal health care coverage.

Racial Disparities in the Military Health System: A Framework Synthesis

INTRODUCTION

Racial disparities in health care are a well-documented phenomenon in the USA. Universal insurance has been suggested as a solution to mitigate these disparities. We examined race-based disparities in the Military Health System (MHS) by constructing and analyzing a framework of existing studies that measured disparities between direct care (care provided by military treatment facilities) and private sector care (care provided by civilian health care facilities).

MATERIALS AND METHODS

We conducted a framework synthesis on 77 manuscripts published in partnership with the Comparative Effectiveness and Provider-Induced Demand Collaboration Project that use MHS electronic health record data to present an overview of racial disparities assessed for multiple treatment interventions in a nationally representative, universally insured population.

RESULTS

We identified 32 studies assessing racial disparities in areas of surgery, trauma, opioid prescription and usage, women's health, and others. Racial disparities were mitigated in postoperative complications, trauma care, and cancer screenings but persisted in diabetes readmissions, opioid usage, and minimally invasive women's health procedures.

CONCLUSION

Universal coverage mitigates many, but not all, racial disparities in health care. An examination of a broader range of interventions, a closer look at variation in care provided by civilian facilities, and a look at the quality of care by race provide further opportunities for research.