A Longitudinal Study of Prevalence Ratios for Musculoskeletal Back Injury Among U.S. Navy and Marine Corps Personnel, 2009-2015.

INTRODUCTION: Medical readiness to deploy is an increasingly important issue within the military. Musculoskeletal back pain is one of the most common medical problems that affects service members. This study demonstrates the associations between risk factors and the prevalence of musculoskeletal back pain among active duty sailors and Marines within the Department of the Navy (DoN). MATERIALS AND METHODS: Utilizing the Military Health System Data Repository, we conducted a retrospective cross-sectional review of administrative healthcare claim data for all active duty DoN personnel with at least one medical encounter during fiscal years 2009-2015. For each fiscal year, we identified all claims with an ICD-9 code for back pain and calculated prevalence. We compared those with and without back pain across all variables (age, gender, rank, race, body mass index, tobacco use, occupation, and branch of service) using chi-square analysis. Unadjusted and adjusted log-binomial regressions were used to calculate prevalence ratios and examine associated risk factors for back pain. RESULTS: The number of active duty subjects per fiscal year ranged from 424,460 to 437,053. The prevalence of back pain showed an upward trend, ranging from 9.99% in 2009 to 12.09% in 2015. Personnel aged 35 years and older had the strongest adjusted prevalence ration (APR) for back pain (APR 2.59; 95% CI, 2.53-2.66). There were also strong associations with obese body mass index (APR 1.76; 95% CI, 1.66-1.86), overweight body mass index (APR 1.29; 95% CI, 1.27-1.32), and tobacco use (APR 1.39; 95% CI, 1.36-1.42). Females were more likely to have back pain than males (APR 1.43; 95% CI, 1.40-1.47) and Marines more likely than sailors (APR 1.39; 95% CI, 1.36-1.42). The occupation with the highest prevalence ratio was healthcare (APR 1.34; 95% CI, 1.29-1.40) when compared to the reference group of combat specialists. CONCLUSIONS: There was an increasing prevalence of back pain across the DoN from 2009 to 2015. Different occupational categories demonstrate different prevalence of back pain. Surprisingly, combat occupations and aviators were among the groups with the lowest prevalence. Lifestyle factors such as excess body weight and use of tobacco products are clearly associated with increased prevalence. These results could inform military leaders with regard to setting policies that could increase medical readiness.

Prescriptions of Psychotropic Medications by Providers Treating Children of Military Service Members.

INTRODUCTION: There are approximately 1.5 million U.S. military-dependent children. However, little is known about mental health referrals for these youths. This study sought to examine the type of mental health treatment referrals made by primary care providers for child military-dependent beneficiaries receiving care in the direct (within Military Treatment Facilities) and private care (civilian-fee-for service facilities) sectors of the Military Health System. MATERIALS AND METHODS: A between-subjects, cross-sectional study was performed on children aged 5-18 years old in fiscal years 2011-2015 and enrolled in TRICARE Prime. Study analyses examined specialty ("talk therapy") mental health care and psychotropic medication referrals from TRICARE Prime (the Defense Health Agency-managed health care program) providers for beneficiary children diagnosed with attention-, mood-, anxiety-, or behavior-related disorders in direct versus private sector care. RESULTS: Of 1,533,630 children enrolled in TRICARE Prime (50.03% female), 8.6% (n = 131,393) were diagnosed with a psychological disorder during FY 2011-2015. Most were attention-related (5.2%, n = 79,770), followed by mood (1.7%, n = 25,314), anxiety (1.1%, n = 16,155), and conduct-related diagnoses (0.7%, n = 10,154). Adjusting for age, sex, and sponsor rank, children within direct care diagnosed with attention-related disorders were 1.7 times more likely to receive a prescription for psychotropic medication than those in private sector care, odds ratio (OR) = 1.72, 95% confidence interval (CI): [1.66, 1.77]. Children diagnosed with mood-related disorders in direct care were 2.1 times more likely to receive a prescription for psychotropic medication than those in private sector care, OR = 2.08, 95% CI: [1.96, 2.21]. Across disorders, children who received private sector care were more likely to have a referral specialty mental health ("talk therapy") follow-up (ps < 0.0001). CONCLUSIONS: For attention- and mood-related disorders, but not anxiety- or conduct-related disorders, direct care providers were more likely than private sector care providers to prescribe psychotropic medications. Inconsistencies of provider referrals within and outside of the Military Health System should be elucidated to determine the impact on outcomes.

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.

CKD Prevalence in the Military Health System: Coded Versus Uncoded CKD.

RATIONALE & OBJECTIVE: Chronic kidney disease (CKD) is common but often goes unrecorded. STUDY DESIGN: Cross-sectional. SETTING & PARTICIPANTS: Military Health System (MHS) beneficiaries aged 18 to 64 years who received care during fiscal years 2016 to 2018. PREDICTORS: Age, sex, active duty status, race, diabetes, hypertension, and numbers of kidney test results. OUTCOMES: We defined CKD by International Classification of Diseases, Tenth Revision (ICD-10) code and/or a positive result on a validated electronic phenotype that uses estimated glomerular filtration rate and measures of proteinuria with evidence of chronicity. We defined coded CKD by the presence of an ICD-10 code. We defined uncoded CKD by a positive e-phenotype result without an ICD-10 code. ANALYTICAL APPROACH: We compared coded and uncoded populations using 2-tailed t tests (continuous variables) and Pearson χ2 test for independence (categorical variables). RESULTS: The MHS population included 3,330,893 beneficiaries. Prevalence of CKD was 3.2%, based on ICD code and/or positive e-phenotype result. Of those identified with CKD, 63% were uncoded. Compared with beneficiaries with coded CKD, those with uncoded CKD were younger (aged 45 ± 13 vs 52 ± 11 years), more often women (54.4% vs 37.6%) and active duty (20.2% vs 12.5%), and less often of Black race (18.5% vs 31.5%) or with diabetes (23.5% vs 43.5%) or hypertension (46.6% vs 77.1%; P < 0.001). Beneficiaries with coded (vs uncoded) CKD had greater numbers of kidney test results (P < 0.001). LIMITATIONS: Use of cross-sectional administrative data prevents inferences about causality. The CKD e-phenotype may fail to capture CKD in individuals without laboratory data and may underestimate CKD. CONCLUSIONS: The prevalence of CKD in the MHS is ~3.2%. Beneficiaries with well-known CKD risk factors, such as older age, male sex, Black race, diabetes, and hypertension, were more likely to be coded, suggesting that clinicians may be missing CKD in groups traditionally considered lower risk, potentially resulting in suboptimal care.

Comparison of Nurse-Midwife and Physician Birth Outcomes in the Military Health System.

The purpose of this study is to identify the socioeconomic and demographic characteristics of women cared for by Certified Nurse-Midwives (CNMs) versus physicians in the Military Health System (MHS) and compare birth outcomes between provider types. The MHS is one of America's largest and most complex health care systems. Using the Military Health System Data Repository, this retrospective study examined TRICARE beneficiaries who gave birth during 2012-2014. Analysis included frequency of patients by perinatal services, descriptive statistics, and logistic regression analysis by provider type. To account for differences in patient and pregnancy risk, odds ratios were calculated for both high-risk and general risk population. There were 136,848 births from 2012 to 2014, and 30.8% were delivered by CNMs. Low-risk women whose births were attended by CNMs had lower odds of a cesarean birth, induction/augmentation of labor, complications of birth, postpartum hemorrhage, endometritis, and preterm birth and higher odds of a vaginal birth, vaginal birth after cesarean, and breastfeeding than women whose births were attended by physicians. These results have implications for the composition of the women's health workforce. In the MHS, where CNMs work to the fullest scope of their authority, CNMs attended almost 4 times more births than our national average. An example to other U.S. systems and high-income countries, this study adds to the growing body of evidence demonstrating that when CNMs practice to the fullest extent of their education, they provide quality health outcomes to more women.