Examining Racial Disparities in Diabetes Readmissions in the United States Military Health System

Mental Health Outcomes Among American Indian and Alaska Native U.S. Army Soldiers: A Serial Cross-Sectional Analysis

INTRODUCTION

American Indian and Alaska Native (AI/AN) individuals in the USA experience higher rates of mental illness and preventable death than the general population. Published research demonstrates that AI/AN veterans experience similar disparities to other minorities compared to non-minority veterans; few studies, however, have assessed mental health outcomes in AI/AN active duty military members. The objective of this study was to determine differences in depression, anxiety, hazardous alcohol consumption, and suicidal ideation among AI/AN soldiers compared to soldiers of other races during the Coronavirus Disease 2019 (COVID-19) pandemic.

MATERIALS AND METHODS

We conducted repeated cross-sectional electronic surveys to assess the mental health of active duty and activated reserve U.S. Army soldiers within three commands in the Northwestern Continental United States , Republic of Korea, and Germany during May-June 2020 (T1) and December 2020-January 2021 (T2). The primary exposure of interest in the present analysis was race and ethnicity, and the primary outcomes were probable depression with functional impairment (subsequently "depression"), probable anxiety with functional impairment (subsequently "anxiety"), hazardous alcohol use, and suicidal ideation. Multivariable logistic regression models were used to determine the association between demographics and COVID-19 concerns on mental health outcomes for each time point.

RESULTS

A total of 21,293 participants responded to the survey at T1 (participation rate = 28.0%), and 10,861 participants responded to the survey at T2 (participation rate = 14.7%). In the multivariable model, AI/AN participants had 1.36 higher adjusted odds of suicidal ideation (95% CI: 1.02-1.82) at T1 and 1.50 greater adjusted odds of suicidal ideation at T2 (95% CI: 1.00-2.24), when compared to non-Hispanic White participants. During T1, there was no significant difference detected between AI/AN and non-Hispanic White participants for anxiety (adjusted odds ratio: 1.21; 95% CI: 0.91-1.60) (Table IV). However, AI/AN participants had 1.82 greater adjusted odds of anxiety when compared to non-Hispanic White participants at T2 (adjusted odds ratio: 1.82; 95% CI: 1.29-2.57). There were no significant differences detected between AI/AN participants and non-Hispanic White participants in multivariable models for either depression or hazardous alcohol use at both time points.

CONCLUSIONS

Although we hypothesized that all adverse mental health outcomes would be higher for AI/AN service members at both time points, there were no significant differences at each of the time points analyzed for most of the outcomes analyzed. However, differences in suicidal ideation were found at both time points. Analyses and proposed interventions should account for diversity and heterogeneity of AI/AN populations.

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.