Association between availability of direct access to army occupational therapy with return to duty in active-duty soldiers.

BACKGROUND: Upper extremity musculoskeletal injuries are common with active-duty Army Soldiers and result in increased limited duty days. Patient satisfaction and surgery rates improve with direct access to occupational therapy in the civilian community. PURPOSE: Examine the amount of time from initial evaluation following an upper extremity musculoskeletal injury (MSKI) to return to full duty plus occupational therapy (OT) utilization in Army Soldiers. STUDY DESIGN: Retrospective observational. METHODS: Electronic health records and profiles from 18,206 US active-duty Army soldiers with MSKI and OT evaluation between 2017-2018 were examined. Repeated measures generalized estimating equations provided the rate ratios (RRs) for OT healthcare utilization (total number of OT evaluations and treatment visits) by days to first OT evaluation and limited duty profile (total days on profile). RESULTS: Soldiers were on average 32.0 (SD = 8.9) y/o, predominantly senior enlisted (45.7%), white (58.0%), male (81.4%), 10.0 (SD = 8.4) years of service, and high school or less educated (51.3%). There were 22,617 UE MSKIs with an OT evaluation and 4936 UE MSKIs with profiles. Compared with UE MSKIs with an OT evaluation on the same day, there was a significant increase in rates of OT utilization for 1-7 days (RR: 1.4, 95% CI: 1.3, 1.5), 8-14 days (RR: 1.3, 95% CI: 1.2, 1.4), 15-30 days (RR: 1.4, 95% CI: 1.3, 1.5), 31-60 days (RR: 1.5, 95% CI: 1.4, 1.6), and +60 days later (RR: 1.6, 95% CI: 1.5, 1.7). Similar differences in rates for limited duty profiles were found. CONCLUSION: A greater number of days between diagnosis of UE MSKI and OT evaluation results in greater rates of OT utilization and longer temporary profile. Results suggest that earlier intervention by OT may decrease recovery and healthcare utilization of soldiers.

Behavioral Health-related Reasons for Permanent Duty Limitation Profiles in the U.S. Army: Population-Based Data from 2017 to 2019.

INTRODUCTION: When warfighters are unable to fight, they are formally removed from battle through temporary or permanent duty limitation profiles. This study uses a population-based data repository to characterize permanent behavioral health (BH)-related profiles across the army for an identified 2-year period. The absolute risk of a permanent duty limitation for specific BH categories was also examined. MATERIALS AND METHODS: This study utilized a retrospective population-based design to identify all new BH diagnoses across the U.S. Army. Service members identified as having a new BH diagnosis were tracked for 12 months following the diagnosis to determine the recommendation of a permanent duty limitation profile. RESULTS: From 2017 to 2018, 16% (n = 102,440) of service members received a "new" BH diagnosis. Less than 10% (9.5%; n = 9,752) of soldiers diagnosed with a BH disorder were issued a permanent BH-related duty profile within 12 months of the initial diagnosis. The absolute risk of a permanent profile was highest for soldiers diagnosed with a psychotic or delusional disorder (42%; n = 324) followed by dissociative or somatoform disorders (26%; n = 178) and eating disorders (23%; n = 108). CONCLUSIONS: Military regulations dictating medical readiness and retention standards reflect both the standards required for mission readiness and a layer of medical protection for the service member. This study provides important information on the relationship between a new BH diagnosis and the likelihood that a service member will be referred for a retirement evaluation.

Characterization of Limited Duty Neuromusculoskeletal Injuries and Return to Duty Times in the U.S. Army During 2017-2018.

INTRODUCTION: Neuromusculoskeletal injuries (MSKI) are the leading cause of medical encounters, lost or limited duty days, medical evacuations, and disability in the U.S. Army. In the U.S. Army, objective MSKI incidence rate metrics can be determined through medical encounter data (M2SKIs) with International Classification of Diseases (ICD) 9 and ICD 10 codes or through documented limited duty profiles (LDPs) documenting time-loss MSKI (TLMSKI). The purpose of the current study was to characterize the population incidence of TLMSKIs among U.S. Army soldiers. MATERIALS AND METHODS: This study was approved by the Medical Research and Development Command's Institutional Review Board. This was a retrospective population-level study. The U.S. Army's eProfile system was utilized to characterize all LDPs issued during 2017-2018 and to describe the body regions injured and activities associated with these TLMSKIs. RESULTS: The incidence rate of TLMSKIs was found to be 44 and 40 TLMSKI/100 soldier-years for 2017 and 2018, respectively, which is lower than previously published incidence rates using MSKI receiving medical care. Approximately one quarter of the total active duty Army population in 2017 and 2018 recorded limited duty injuries, where those to the ankle/foot region resulted in the most LDPs and those to the knee resulted in the most lost duty days. The majority of all TLMSKIs were associated with fitness training-related activities. CONCLUSION: This descriptive study is the first to present the U.S. Army population rates for MSKIs that result in LDPs, representing key time losses when soldiers cannot participate in their military occupational and physical training tasks. This study utilizes the LDP system to calculate limited duty days instead of attempting to estimate this information from other means. The eProfile system is limited in that it combines body regions such as ankle/foot and does not allow isolation of ankle or foot independently. It is recommended that research and training programs target the identification, development, and validation of effective and scaleable strategies to maximize performance without severely reducing combat effectiveness because of training TLMSKIs.

The Occupational Military Neuromusculoskeletal Injury Matrix.

INTRODUCTION: Neuromusculoskeletal injuries (NMSKIs) are the primary cause of ambulatory visits, lost duty days, and disability discharges in the U.S. Military. Methods for accurately grouping injury diagnoses are required to allow for surveillance and research identifying risk factors and prevention strategies. The CDC method of grouping these diagnoses includes only the S and T codes (Injury, poisoning, and certain other consequences of external causes) from the ICD-10-CM. However, this does not include the majority of the NMSKI depleting soldier readiness; the M (Disease of the musculoskeletal system and connective tissue) and G (Diseases of the nervous system) codes should be included as these also contain injuries. The goal was to develop a new matrix that would comprehensively capture all NMSKIs experienced by military personnel. This paper details the development of the Occupational Military Neuromusculoskeletal Injury (OMNI) Matrix and characterizes the number and rates of active duty U.S. Army injuries as measured by the OMNI compared to other matrices. MATERIALS AND METHODS: A team of researchers including physical therapists, physician assistants, occupational therapists, physicians, and epidemiologists developed the OMNI. The OMNI utilizes the commonly accepted injury definition inclusive of any anatomical complaint resulting in pain or dysfunction and categorizes injuries from the G, M, S, and T codes. The OMNI follows the CDC's matrix structure with three body region levels, each becoming more specific, and adds two levels called Description of the Injury. Additionally, the OMNI categorizes injuries as Injury Type (Acute, Overuse, Either, or Not Applicable), NMSKI-Type (NMSKI, NMSKI that could be caused by occupational/training tasks, and not an NMSKI), and a miscellaneous category that demarks injuries as Superficial, Blood Vessels, and/or Internal Organs. The different grouping methods in the OMNI provide standardization for many possible injury case definitions. The OMNI allows these injury categories to be included/excluded in a standardized fashion to meet the researchers' scientific questions. To enumerate the number of NMSKI that would be captured by the available matrices, the OMNI, the CDC's matrix, and the U.S. Army Public Health Center's (APHC) Taxonomy of Injuries were applied to active duty Army outpatient population data and all incident NMSKI diagnostic codes entered in electronic medical provider encounters for calendar years 2017 and 2018. RESULTS: Using the OMNI resulted in the capture of over 800,000 more injuries than the CDC's matrix and over 200,000 more than the APHC Taxonomy. The NMSKI rate utilizing the OMNI was 193 per 100 soldier-years in 2017 (892,780 NMSKI) compared to 23 per 100 soldier-years for the CDC's matrix, and 141 per 100 soldier-years for the APHC Taxonomy. CONCLUSION: The OMNI provides an updated standardized method of assessing injuries, particularly in occupational military injury research, that can be utilized for Military Performance Division of injury across many countries and still allow for replication of methods and comparison of results. Additionally, the OMNI has the capacity to capture a greater burden of injury beyond what is captured by other available matrices.

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army.

OBJECTIVES: To describe the etiologic distribution of all injuries among U.S. Army Active Duty soldiers by causal energy categories. DESIGN: Retrospective cohort, descriptive analysis. METHODS: Injury was defined as the interruption of tissue function caused by an external energy transfer (mechanical, thermal, radiant, nuclear, chemical, or electrical energy). A comprehensive injury matrix standardized categories by causal energies, body locations, and injury types. Categories differentiated acute (ACT) from cumulative micro-traumatic (CMT) overuse injuries, and musculoskeletal injuries (MSKI) from those affecting other or multiple body systems (non-MSKI). International Classification of Diseases (ICD) diagnoses codes were organized into established categories. The matrix was applied to electronic health records for U.S. Army soldiers in 2017. RESULTS: Mechanical energy transfers caused most injuries (97%, n = 809,914): 76% were CMT overuse and the remaining were ACT (<21%). The majority (83%) were MSKI (71% CMT, 12% ACT). While almost one-half (47%) were to lower extremities (38% CMT, 9% ACT) the most frequently injured anatomical sites were the knee and lower back (16% each, primarily CMT). CONCLUSIONS: For the first time all soldiers' injuries have been presented in the same context for consistent comparisons. Findings confirm the vast majority of injuries in this physically-active population are MSKI, and most are CMT MSKI. A very small portion are non-MSKI or injuries caused by non-mechanical energy (e.g., heat- or cold-weather). Most Army injuries are to the lower extremities as a grouped body region, but additional matrix specificity indicates the most injured anatomical locations are the knee, lower back, and shoulder.

Impact of physical fitness and body composition on injury risk among active young adults: A study of Army trainees.

OBJECTIVES: To determine the combined effects of physical fitness and body composition on risk of training-related musculoskeletal injuries among Army trainees. DESIGN: Retrospective cohort study. METHODS: Rosters of soldiers entering Army basic combat training (BCT) from 2010 to 2012 were linked with data from multiple sources for age, sex, physical fitness (heights, weights (mass), body mass index (BMI), 2 mile run times, push-ups), and medical injury diagnoses. Analyses included descriptive means and standard deviations, comparative t-tests, risks of injury, and relative risks (RR) and 95% confidence intervals (CI). Fitness and BMI were divided into quintiles (groups of 20%) and stratified for chi-square (χ2) comparisons and to determine trends. RESULTS: Data were obtained for 143,398 men and 41,727 women. As run times became slower, injury risks increased steadily (men=9.8-24.3%, women=26.5-56.0%; χ2 trends (p<0.00001)). For both genders, the relationship of BMI to injury risk was bimodal, with the lowest risk in the average BMI group (middle quintile). Injury risks were highest in the slowest groups with lowest BMIs (male trainees=26.5%; female trainees=63.1%). Compared to lowest risk group (average BMI with fastest run-times), RRs were significant (male trainees=8.5%; RR 3.1, CI: 2.8-3.4; female trainees=24.6%; RR 2.6, CI: 2.3-2.8). Trainees with the lowest BMIs exhibited highest injury risks for both genders and across all fitness levels. CONCLUSIONS: While the most aerobically fit Army trainees experience lower risk of training-related injury, at any given aerobic fitness level those with the lowest BMIs are at highest risk. This has implications for recruitment and retention fitness standards.