Racial Disparities in Highly Effective Contraceptive Use Among U.S. Active Duty Servicewomen, Fiscal Years 2016-2019.

Background: Previous studies have found that unintended pregnancy rates are higher among racial minorities and active duty servicewomen (ADSW), correlating with lower rates of effective contraceptive use. The Military Health System (MHS) provides universal health care benefit coverage for all ADSW, including access to all highly effective contraceptive (HEC) methods. This study investigated the association between race and HEC use among ADSW. Materials and Methods: We conducted a cross-sectional study using fiscal year 2016-2019 data from the MHS Data Repository for all ADSW ages 18-45 years. Statistical analyses included descriptive statistics and logistic regression models, adjusted and unadjusted, determining the odds of HEC use, overall and by method. Results: Of the 729,722 ADSW included in the study, 59.7% used at least one HEC during the study period. The highest proportions of users were aged 20-24 years, White, single, Junior Enlisted, and serving in the Army. Lower odds of HEC use were demonstrated in Black (odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.92-0.95), American Indian/Alaska Native (OR = 0.85, 95% CI = 0.82-0.89), Asian/Pacific Islander (OR = 0.81, 95% CI = 0.80-0.83), and Other (OR = 0.97, 95% CI = 0.94-0.99) ADSW compared with White ADSW. Conclusions: Universal coverage of this optional preventive service did not guarantee its use. The MHS can serve as a model for monitoring racial disparities in HEC use.

Analysis of Telehealth Equity Within the Military Health System During the COVID-19 Pandemic.

Background: Telehealth care expanded during the COVID-19 pandemic, although previous studies show racial, gender, and socioeconomic inequalities in its usage. Racial disparities are known to be mitigated in the Military Health System (MHS), whose 9.6 million beneficiaries are universally insured and nationally representative. This study investigated whether known disparities in telehealth usage were mitigated in the MHS. Methods: This study performed a retrospective cross-sectional study of TRICARE telehealth claims data from January 2020 to December 2021. Beneficiaries aged 0 to 64 years were identified with Common Procedural Terminology code modifiers 95, GT, and GQ, which indicated procedures that were delivered through either synchronous or asynchronous telecommunication services. Visits were defined as one encounter per patient per day. Analyses included descriptive statistics of patient demographics, number of telehealth visits, and differences between military-provided and private sector care (PSC). Military rank was used as a proxy for socioeconomic status (SES), generally combining income, education, and occupation type. Results: A total of 917,922 beneficiaries received telehealth visits during the study period: 25% in direct care, 80% in PSC, and 4% in both care settings. The majority of visits were received by females (57%) and associated with a Senior Enlisted rank (66%). The visits by racial category were proportional to the percentage of each category in the population. The lowest number of visits was for those older than 60 years, potentially receiving Medicare instead, and those associated with Junior Enlisted rank, a potential disparity that may also reflect access to leave or smaller family size. Conclusions and Relevance: Within the MHS, telehealth visits were equitable by race, in line with previous findings, but not by gender, SES, or age. Findings by gender are reflected in the greater U.S. population. Further research is needed to assess and address potential disparities associated with Junior Enlisted rank as proxy for low SES.

The Comparative Effectiveness and Provider-induced Demand Collaboration Project: A Pioneering Military-Civilian Academic Partnership to Build Health Services Research Capacity for the Military Health System.

INTRODUCTION: Like civilian health systems, the United States Military Health System (MHS) confronts challenges in achieving the aims of reducing cost, and improving quality, access, and safety, but historically has lacked coordinated health services research (HSR) capabilities that enabled knowledge translation and iterative learning from its wealth of data. A military-civilian academic partnership called the Comparative Effectiveness and Provider-Induced Demand Collaboration (EPIC), formed in 2011, demonstrated early proof-of-concept in using the MHS claims database for research focused on drivers of variation in health care. This existing partnership was reorganized in 2015 and its topics expanded to meet the need for HSR in support of emerging priorities and to develop current and HSR capacity within the MHS. MATERIALS AND METHODS: A Donabedian framework of structure, process, and outcomes was applied to support the project, through a core of principal investigators, researchers, analysts, and administrators. Within this framework, new researchers and student trainees learn foundations of HSR while performing secondary analysis of claims data from the MHS Data Repository (MDR) focusing on Health and Readiness, Pediatrics, Policy, Surgery, Trauma, and Women's Health. RESULTS: Since 2015, the project has trained 25 faculty, staff, and providers; 51 students and residents; 21 research fellows across multiple disciplines; and as of 2022, produced 107 peer-reviewed publications and 130 conference presentations, across all five themes and six cores. Research results have been incorporated into Federal and professional policy guidelines. Major research areas include opioid usage and prescribing, value-based care, and racial disparities. EPIC researchers provide direct support to MHS leaders and enabling expertise to clinical providers. CONCLUSIONS: EPIC, through its Donabedian framework and utilization of the MHS Data Repository as a research tool, generates actionable findings and builds capacity for continued HSR across the MHS. Eight years after its reorganization in 2015, EPIC continues to provide a platform for capacity building and knowledge translation.

A health systems assessment of genetic counseling in cardiovascular care in a large health system: Adherence to genetics recommendations in the Military Health System.

Genetic counseling and genetic testing are important tools for diagnosis, screening, and employment of effective medical management strategies for hereditary cardiovascular diseases. Despite widespread recognition of the benefits of genetic counseling and testing in cardiovascular care, little is published regarding their use in large healthcare systems. We conducted a retrospective cross-sectional study using administrative claims data in the US Military Health System to assess the state of recommended genomic counseling in clinical cardiovascular care. Logistic regression models were used to examine associations of genetic counseling among beneficiaries with hereditary cardiovascular conditions. Approximately 0.44% of beneficiaries in fiscal year 2018 had a diagnosis of a hereditary cardiovascular condition. Among the 23,364 patients with a diagnosis of hereditary cardiovascular disease, only 175 (0.75%) had documented genetic counseling and 196 (0.84%) had documented genetic testing. Genetic counseling did not differ by race, sex, service, or diagnosis. Age group, Active Duty status, rank as a proxy for socioeconomic status, and geographic location contributed significantly to the likelihood of receiving genetic counseling. These findings suggest that genetic counseling is underutilized in clinical cardiovascular care in the Military Health System and may be more broadly, despite expert consensus recommendations for its use and potential life-saving benefits. Unlike previous studies in the US civilian health sector, there did not appear to be disparities in genetic counseling by race or sex in the Military Health System. Strategies to improve care for cardiovascular disease should address the underutilization of recommended genetics evaluations for heritable diagnoses and the challenges of assessing use in large health systems studies.

Prevalence of Heart Failure Stages in a Universal Health Care System: The Military Health System Experience.

BACKGROUND: Morbidity and mortality related to heart failure are increasing and disparities are widening. These alarming trends, often confounded by access to care, are poorly understood. This study evaluates the prevalence of all stages of heart failure by race and socioeconomic status in an environment with no access barrier to care. METHODS: We conducted a cross-sectional observational study of adult beneficiaries aged 18 to 64 years of the Military Health System (MHS), a model for universal health care for fiscal years 2018-2019. We calculated prevalence of preclinical (stages A/B) or clinical (stages C/D) heart failure stages as defined by professional guidelines. Results were analyzed by age, race, and socioeconomic status (using military rank as a proxy). RESULTS: Among 5,440,761 MHS beneficiaries aged 18 to 64 years, prevalence of preclinical and clinical heart failure was 18.1% and 2.5%, respectively. Persons with preclinical heart failure were middle aged, with similar proportions of men and women, while those with heart failure were older, mainly men. After multivariable adjustment, male sex (1.35 odds ratio [OR] [preclinical]; 1.95 OR [clinical]), Black race (1.64 OR [preclinical]; 1.88 OR [clinical]) and lower socioeconomic status were significantly associated with large increases in the prevalence of all stages of heart failure. CONCLUSION: All stages of heart failure are highly prevalent among MHS beneficiaries of working age and, in an environment with no access barrier to care, there are striking disparities by race and socioeconomic status. The high prevalence of preclinical heart failure, particularly notable among Black beneficiaries, delineates a critical time window for prevention.

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.

Prevalence and Characteristics of CKD in the US Military Health System: A Retrospective Cohort Study.

Rationale & Objective: The US Military Health System (MHS) is a global health care network with a diverse population that is more representative of the US population than other study cohorts and with fewer disparities in health care access. We aimed to examine the prevalence of chronic kidney disease (CKD) in the MHS and within demographic subpopulations. Study Design: Multiple cross-sectional analyses of demographic and claims-based data extracted from the MHS Data Repository, 1 for each fiscal year from 2006-2015. Setting & Population: Multicenter health care network including active-duty military, retirees, and dependents. The average yearly sample size was 3,285,348 individuals. Exposures: Age, sex, race, active-duty status, and active-duty rank (a surrogate for socioeconomic status). Outcome: CKD, defined as the presence of matching International Classification of Diseases, Ninth Revision, codes on either 1 or more inpatient or 2 or more outpatient encounters. Analytical Approach: t test for continuous variables and χ2 test for categorical variables; multivariable logistic regression for odds ratios. Results: For 2015, the mean (standard deviation) age was 38 (16). Crude CKD prevalence was 2.9%. Age-adjusted prevalence was 4.9% overall-1.9% active-duty and 5.4% non-active-duty individuals. ORs for CKD were calculated with multiple imputations to account for missing data on race. After adjustment, the ORs for CKD (all P < 0.001) were 1.63 (95% CI, 1.62-1.64) for an age greater than 40 years, 1.16 (95% CI, 1.15-1.17) for Black race, 1.15 (95% CI, 1.14-1.16) for senior enlisted rank, 0.94 (95% CI, 0.93-0.95) for women, and 0.50 (95% CI, 0.49-0.51) for active-duty status. Limitations: Retrospective study based on International Classification of Diseases, Ninth Revision, coding. Conclusions: Within the MHS, older age, Black race, and senior enlisted rank were associated with a higher risk of CKD, whereas female sex and active-duty status were associated with a lower risk.

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.

Minority Adolescent Mental Health Diagnosis Differences in a National Sample.

INTRODUCTION: Mental health disparities and differences have been identified amongst all age groups, including adolescents. However, there is a lack of research regarding adolescents within the Military Health System (MHS). The MHS is a universal health care system for military personnel and their dependents. Research has indicated that the MHS removes many of the barriers that contribute to health disparities. Additional investigations with this population would greatly contribute to our understanding of disparities and health services delivery without the barrier of access to care. MATERIALS AND METHODS: This study analyzed the diagnostic trends of anxiety, depression, and impulse control disorders and differences within a national sample of adolescents of active-duty military parents. The study utilized 2006 to 2014 data in the MHS Data Repository for adolescents ages 13-18. The study identified 183,409 adolescents with at least one diagnosis. Multivariable logistic regressions were conducted to assess the differences and risks for anxiety, depression, and impulse control disorders in the identified sample. RESULTS: When compared to White Americans, minority patients had a higher likelihood of being diagnosed with an impulse control disorder (odds ratio [OR] = 1.43; confidence interval [CI] 1.39-1.48) and a decreased likelihood of being diagnosed with a depressive disorder (OR = 0.98; CI 0.95-1.00) or anxiety disorder (OR = 0.80; CI 0.78-0.83). Further analyses examining the subgroups of minorities revealed that, when compared to White Americans, African American adolescents have a much higher likelihood of receiving a diagnosis of an impulse control disorder (OR = 1.66; CI 1.61-1.72) and a lower likelihood of receiving a diagnosis of a depressive disorder (OR = 0.93; CI 0.90-0.96) and an anxiety disorder (OR = 0.75; CI 0.72-0.77). CONCLUSION: This study provides strong support for the existence of race-based differences in adolescent mental health diagnoses. Adolescents of military families are a special population with unique experiences and stressors and would benefit from future research focusing on qualitative investigations into additional factors mental health clinicians consider when making diagnoses, as well as further exploration into understanding how best to address this special population's mental health needs.

The Impact of Mammography Screening Guideline Changes in a Universally Insured Population.

Background: The U.S. Preventive Services Task Force (USPSTF) modified breast cancer screening guidelines in November 2009. The impact has been studied among privately and Medicare insured populations, but not among universally insured women. Materials and Methods: This study compared the proportion of TRICARE beneficiaries aged 40-64 receiving mammograms from fiscal years 2006 to 2015 using an interrupted time series analysis to determine the impact of the 2009 USPSTF guideline changes. Stratified analyses evaluated differences by age (ages 40-49, 50-64), race, care setting, beneficiary type, and military status. Results: The proportion of women receiving mammograms increased from October 2005 through September 2009. A small, but significant decrease of 65-66 fewer women screened per 10,000 occurred in the first quarter of 2010 (October 1 to December 31) following the screening guideline update publication. The proportion screened then remained unchanged through 2015. Comparative analysis revealed no differences in impact between age groups, blacks and whites, or military dependents and active-duty/retirees. Conclusions: This study determined that the USPSTF guideline updates had a small, but immediate and lasting impact that was not different across age groups, beneficiary type, or race. No racial disparities in the proportion screened or in the impact of the guideline change were noted in our universally insured population.

The Impact of Mammography Screening Guideline Changes Among Women Serving in the U.S. Military.

INTRODUCTION: The U.S. Preventive Services Task Force (USPSTF) modified their screening guidelines for breast cancer in November 2009. Previous studies evaluated the impact of these guideline changes among privately and Medicare insured populations. Women in the military form a unique population exposed to many social, environmental, and occupational hazards that may increase breast cancer incidence. By evaluating mammography screening rates among women in the military before and after the USPSTF guideline changes, this study evaluated the impact of the USPSTF breast cancer guideline change on screening mammography use within the military population and determined whether current guidelines were followed for this high-risk population with universal health care access. MATERIALS AND METHODS: This study evaluated the impact of the 2009 guideline changes among the population of universally insured military servicewomen, comparing the proportion of active duty women aged 40 to 64 receiving mammograms from fiscal years 2006 to 2015 using an interrupted time series analysis. Stratified analyses evaluated differences by age (aged 40-49, 50-64), race, military branch, and rank. This research is considered exempt by the Uniformed Services University Institutional Review Board. RESULTS: The proportion of insured military servicewomen receiving mammograms increased from October 2005 through September 2009. A significant decrease occurred in the first quarter of 2010 following the publication of the screening guideline update. From this new baseline, the proportion of women screened increased again through September 2015. Comparative analyses showed more pronounced effects both immediately and over time among the women aged 50 to 64 compared to those aged 40 to 49 years and among older enlisted women compared with their officer counterparts. The patterns were near identical in all subgroups; however, no changes in rate were evident among Air Force and black servicewomen aged 50 to 64 and Army and Navy/Marine Corps servicewomen aged 40 to 49 years. No racial disparities in screening or impact were noted. CONCLUSIONS: The USPSTF guidelines had differential impacts among some subpopulations. While older women, aged 50 to 64 years, had a greater temporary reduction immediately after the guideline change, younger women aged 40 to 49 years had a longer-term reduction in screening following the guideline changes. No racial disparities in the proportion screened or in the impact of the guideline change were noted in this population with universal health coverage. The lack of Department of Defense standard breast cancer screening guidelines was evident from the different patterns of mammography utilization observed among military branches. To completely understand the impact of the updated screening guidelines, future studies must incorporate research focusing on changes in breast cancer morbidity and mortality as well as updated cost-benefit analyses.

Use of low-value pediatric services in the Military Health System.

BACKGROUND: Low-value care (LVC) is understudied in pediatric populations and in the Military Health System (MHS). This cross-sectional study applies previously developed measures of pediatric LVC diagnostic tests, procedures, and treatments to children receiving care within the direct and purchased care environments of the MHS. METHODS: We queried the MHS Data Repository (MDR) to identify children (n = 1,111,534) who received one or more of 20 previously described types of LVC in fiscal year 2015. We calculated the proportion of eligible children and all children who received the service at least once during fiscal year 2015. Among children eligible for each measure, we used logistic regressions to calculate the adjusted odds ratios (AOR) for receiving LVC at least once during fiscal year 2015 in direct versus purchased care. RESULTS: All 20 measures of pediatric LVC were found in the MDR. Of the 1,111,534 eligible children identified, 15.41% received at least one LVC service, and the two most common procedures were cough and cold medications in children under 6 years and acid blockers for infants with uncomplicated gastroesophageal reflux. Eighteen of the 20 measures of pediatric LVC were eligible for comparison across care environments: 6 were significantly more likely to be delivered in direct care and 10 were significantly more likely to be delivered in purchased care. The greatest differences between direct and purchased care were seen in respiratory syncytial virus testing in children with bronchiolitis (AOR = 21.01, 95% CI = 12.23-36.10) and blood tests in children with simple febrile seizure (AOR = 24.44, 95% CI = 5.49-108.82). A notably greater difference of inappropriate antibiotic prescribing was seen in purchased versus direct care. CONCLUSIONS: Significant differences existed between provision of LVC services in direct and purchased care, unlike previous studies showing little difference between publicly and privately insured children. In fiscal year 2015, 1 in 7 children received one of 20 types of LVC. These proportions are higher than prior estimates from privately and publicly insured children, suggesting the particular need to focus on decreasing wasteful care in the MHS. Collectively, these studies demonstrate the high prevalence of LVC in children and the necessity of reducing potentially harmful care in this vulnerable population.

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

INTRODUCTION: Diabetes is one of the most common chronic conditions in the United States and has a cost burden over $120 billion per year. Readmissions following hospitalization for diabetes are common, particularly in minority patients, who experience greater rates of complications and lower quality healthcare compared to white patients. This study examines disparities in diabetes-related readmissions in the Military Health System, a universally insured, population of 9.5 million beneficiaries, who may receive care from military (direct care) or civilian (purchased care) facilities. METHODS: The study identified a population of 7,605 adult diabetic patients admitted to the hospital in 2014. Diagnostic codes were used to identify hospital readmissions, and logistic regression was used to analyze associations among race, beneficiary status, patient or sponsor's rank, and readmissions at 30, 60, and 90 days. RESULTS: A total of 239 direct care patients and 545 purchased care patients were included in our analyses. After adjusting for age and sex, we found no significant difference in readmission rates for black versus white patients; however, we found a statistically significant increase in the likelihood for readmission of Native American/Alaskan Native patients compared to white patients, which persisted in direct care at 60 days (adjusted odds ratio [AOR] 11.51, 95% CI 1.11-119.41) and 90 days (AOR 18.42, 95% CI 1.78-190.73), and in purchased care at 90 days (AOR 4.54, 95% CI 1.31-15.74). CONCLUSION: Our findings suggest that universal access to healthcare alleviates disparities for black patients, while Native America/Alaskan Native populations may still be at risk of disparities associated with readmissions among diabetic patients in both the closed direct care system and the civilian fee for service purchased care system.

Early Pediatric Fractures in a Universally Insured Population within the United States.

BACKGROUND: Musculoskeletal injury, including fracture, is one of the most common causes of morbidity in pediatric patients. The purpose of this epidemiologic study is to determine the prevalence and risk factors for fracture in a large cohort of pediatric patients under the age of 5. RESULTS: Of the 233,869 patients included in the study, 13,698 fractures were identified in 10,889 patients. The highest annual incidence was in the 4 year old age group with a rate of 24.2 fractures per 1000 children. The annual incidence within all age groups was 11.7 fractures per 1000 children. The two most common fractures were forearm and humerus fractures. Fracture incidence was increased in male children, patients who live outside the US, and in Caucasian patients. An increase in rate of fracture was also identified in children of officers when compared with children of enlisted service members. There were 35 abuse related fractures in our cohort, with 19 of them occurring in children less than 1 year old. Only three children in our cohort had Osteogenesis Imperfecta. CONCLUSION: Fractures are common injuries in young children with an incidence over the first 5 years of life of 5.86%. Multiple risk factors were also identified including age, race, geographic location and socioeconomic status. The results of this study are an important contribution to epidemiologic and public health literature and serve to characterize the incidence of and risk factors for sustaining an early childhood fracture.

Assessing Low-Value Health Care Services In The Military Health System.

Low-value care is the provision of procedures and treatments that provide little or no benefit to patients while increasing the cost of health care. This study examined the provision of low-value care in the Military Heath System (MHS), comparing care delivered in civilian health care facilities (purchased care) to care delivered in Department of Defense-controlled health care facilities (direct care). We used 2014 TRICARE claims data to evaluate the provision of nineteen previously developed measures of low-value care, including diagnostic, screening, and monitoring tests and therapeutic procedures. Of these, six measures appeared more frequently in direct care, while eleven measures appeared more frequently in purchased care-which may reflect the outsourcing of specialist services from the former to the latter. Magnetic resonance imaging for low back pain emerged as the most common low-value service in both care environments and could represent a target for future interventions. As the MHS and the United States increasingly focus on value-based care, the identification of low-value services accompanied by efforts to reduce such inefficient practices could provide greater quality of care at a lower cost.