Introduction Musculoskeletal (MSK) conditions are commonly seen among military service members (SM) and Veterans. We explored correlates of award of MSK-related service-connected disability benefits (SCDB) among SM seeking care in Veterans Affairs (VA) hospitals. Materials and Methods Department of Defense data on SM who separated from October 1, 2001 to May 2017 were linked to VA administrative data. Using adjusted logistic regression models, we determined the odds of receiving MSK SCDB. Results A total of 1,558,449 (79% of separating SM) had at least one encounter in VA during the study period (7.8% disability separations). Overall, 51% of this cohort had at least one MSK SCDB (88% among disability separations, 48% among normal). Those with disability separations (as compared to normal separations) were significantly more likely to receive MSK SCDB (odds ratio 2.37) as were females (compared to males, odds ratio 1.15). Conclusions Although active duty SM with disability separations were more likely to receive MSK-related service-connected disability ratings in the VA, those with normal separations also received such awards. Identifying those at highest risk for MSK-related disability could lead to improved surveillance and prevention strategies in the Department of Defense and VA health care systems to prevent further damage and disability.
Keywords: awards and prizes; kidney; sponge; military personnel; veterans; disability
Musculoskeletal (MSK) conditions involving upper and lower extremities and the vertebral column are currently among the most commonly treated disorders in Department of Defense (DoD) military treatment facilities[
With injuries being a hallmark of military service and management of these and associated conditions to be expected in Veterans, the VA has developed particular expertise in caring for short- and long-term sequelae of injuries and MSK arising from overuse and strain. As the recent conflicts in Iraq and Afghanistan are now extending to over 18 years and the medical needs of Veterans are expected to peak in the year 2035, the costs are estimated to be close to a trillion dollars.[
Apart from assuming that all Veterans will require disability compensation for injuries sustained or worsened during military service, the VA has few resources to predict the nature and level of disability benefits anticipated for newly enrolled Veterans from the recent conflicts in Iraq and Afghanistan. One predictor for future resource needs may be the separation category of SM. The DoD assigns each active duty SM an interservice separation code that indicate the circumstances related to discharge from service. Although most SM separate under routine or normal circumstances, a significant minority are separated for disability. We performed this study to address the hypothesis that future MSK service-connected (SC) disability determinations in the VA could be predicted by disability separations from the military.
We conducted this research with approval of the University of Utah Internal Review Board (IRB #00091744), the Research & Development Committee at the VA Salt Lake City Health Care System, and according to regulatory requirements of the Veterans Informatics and Computing Infrastructure (VINCI).
The study population comprised the entire cohort of active duty SM listed in the VA Defense Manpower Data Center file (VA/DoD Identity Repository [VADIR]) who separated from the military from October 1, 2001 to May 2017. VA administrative data were accessed using the VINCI,[
The primary outcome for our study was the award of SCDB by the VA for any MSK condition at any percent from 0 to 100. We identified SC disability conditions as a set of MSK conditions using an inclusive definition for MSK by expert opinion of the study team. Independent variables for our analyses were extracted from VADIR and included demographics such as sex, year of birth, race, level of education, branch of service, enlisted (E1–9), warrant officer (W1–5) or officer (O1–10) pay grades, combat flag (whether they received hazard pay for serving in a combat zone), and marital status.
We used logistic regression models to estimate the odds of receiving an SCDB for MSK conditions with the key independent predictor variable for test of our hypothesis as the disability type of separation from the military as compared to normal (or routine) separations. The interservice separation codes were from VADIR and were classified as routine vs. nonroutine based on prior work.[
The distribution of MSK disability conditions (by anatomy and disease process) that were the basis for the disability benefits were compared between normal and disability separations using the Chi-square statistic. Analyses were performed using R Version 3.5.1.[
From October 2001 to May 2017, a total of 1,969,724 SM experienced 3,472,031 separations from the military. Nearly half of the separation codes were either null, unknown, or applicable (likely representing National Guard/Reserve SM as only active duty SM receive an interservice separation code). Of the total SM, 1,558,449 (79%) had at least one encounter in VA administrative data during the study period (Table I). The racial/ethnic distribution of the study cohort generally followed the distribution of Veterans seen in the VA with non-Hispanic Whites forming the majority. Half of the cohort was from the Army (51%), and the majority (
TABLE I Demographic Characteristics and VA MSK Service-Connected Disability Status of 1,558,449 SM Who Separated From the Military From October 1, 2001 to May 2017 and Had At Least One Encounter in the VA During the Study Period (up to March 2018)
Variable Level All (Column Totals) VA MSK SC Disability Yes No Sex Female 187,976 (12.06%) 97,590 (12.29%) 90,386 (11.83%) Male 1,370,458 (87.94%) 696,776 (87.71%) 673,682 (88.17%) Unknown 15 (0.00%) 5 (0.00%) 10 (0.00%) Race/ethnicity American Indian/Alaskan Native 21,179 (1.36%) 10,396 (1.31%) 10,783 (1.41%) Asian/Native Hawaiian or other Pacific Islander 102,171 (6.56%) 58,824 (7.41%) 43,347 (5.67%) Black or African American 245,345 (15.74%) 142,395 (17.93%) 102,950 (13.47%) Caucasian/White 1,011,768 (64.92%) 490,901 (61.80%) 520,867 (68.17%) Hispanic 146,265 (9.39%) 74,655 (9.40%) 71,610 (9.37%) Other 16,626 (1.07%) 8,852 (1.11%) 7,774 (1.02%) Unknown 15,095 (0.97%) 8,348 (1.05%) 6,747 (0.88%) Marital status Annulled 329 (0.02%) 181 (0.02%) 148 (0.02%) Divorced 45,862 (2.94%) 27,975 (3.52%) 17,887 (2.34%) Legally separated 843 (0.05%) 489 (0.06%) 354 (0.05%) Married 471,157 (30.23%) 298,026 (37.52%) 173,131 (22.66%) Never married 1,014,728 (65.11%) 455,939 (57.40%) 558,789 (73.13%) Unknown/not applicable 24,984 (1.60%) 11,447 (1.44%) 13,537 (1.77%) Widowed 546 (0.04%) 314 (0.04%) 232 (0.03%) Education No high school diploma 29,377 (1.89%) 11,467 (1.44%) 17,910 (2.34%) High school equivalent 108,492 (6.96%) 52,411 (6.60%) 56,081 (7.34%) High school 939,044 (60.26%) 469,370 (59.09%) 469,674 (61.47%) Some college 115,839 (7.43%) 56,441 (7.11%) 59,398 (7.77%) Associates degree 107,410 (6.89%) 66,211 (8.34%) 41,199 (5.39%) Baccalaureate degree 170,311 (10.93%) 86,788 (10.93%) 83,523 (10.93%) Graduate/professional degree 85,632 (5.49%) 50,648 (6.38%) 34,984 (4.58%) Unknown 2,344 (0.15%) 1,035 (0.13%) 1,309 (0.17%) Combat flag Yes 1,491,220 (95.69%) 766,895 (96.54%) 724,325 (94.80%) Separation category Disability 121,314 (7.78%) 106,475 (13.40%) 14,839 (1.94%) (mutually exclusive; Disqualified 65,214 (4.18%) 31,308 (3.94%) 33,906 (4.44%) one category if more Early 125,931 (8.08%) 65,936 (8.30%) 59,995 (7.85%) than one separation) Misconduct 70,496 (4.52%) 27,497 (3.46%) 42,999 (5.63%) Normal 1,175,494 (75.43%) 563,155 (70.89%) 612,339 (80.14%) Age (in years) at last (Missing) 1,111 (0.07%) 525 (0.07%) 586 (0.08%) deployment end 24 or under 534,805 (34.32%) 219,855 (27.68%) 314,950 (41.22%) 25–29 354,288 (22.73%) 172,586 (21.73%) 181,702 (23.78%) 30–34 183,540 (11.78%) 103,009 (12.97%) 80,531 (10.54%) 35–39 188,052 (12.07%) 119,933 (15.10%) 68,119 (8.92%) 40–49 241,474 (15.49%) 150,029 (18.89%) 91,445 (11.97%) 50–59 53,170 (3.41%) 27,509 (3.46%) 25,661 (3.36%) 60 or older 2,009 (0.13%) 925 (0.12%) 1,084 (0.14%) Branch of service Air Force 316,547 (20.31%) 137,887 (17.36%) 178,660 (23.38%) (mutually exclusive; Army 797,010 (51.14%) 424,609 (53.45%) 372,401 (48.74%) branch with most time Coast Guard 2,257 (0.14%) 906 (0.11%) 1,351 (0.18%) in service by SM) Marines 213,071 (13.67%) 118,995 (14.98%) 94,076 (12.31%) Navy 229,564 (14.73%) 111,974 (14.10%) 117,590 (15.39%)
Graph: FIGURE 1 Process flow of SM's deployment, separation from the military and award of disability claims in the VA.
Graph: FIGURE 2 Distribution of MSK-related disability conditions of those receiving VA SCDB for MSK conditions, by anatomy and disease process. Normal separations: 1,175,494 SM (75% of all separations), Disability separations: 121,314 SM (7.8% of all separations). "Other condition" includes vascular issues, embolism, and urticaria.
As shown in Table II, female Veterans were more likely than males to receive an MSK SCDB (odds ratio [OR] 1.15, P < 0.001). Black and Hispanic Veterans were marginally more likely to receive these awards (OR 1.04 and 1.03, respectively, P < 0.001). Other demographic characteristics were found to be significant in predicting MSK SCDB; married and divorced Veterans were more likely to receive awards (OR 1.16 and 1.13, respectively, P < 0.001), and those with education levels above high school (referent) were more likely to receive an award than lower education levels (highest OR 1.15 for those with associates degree).
Deployment demographics were also significant in that those with a positive combat flag were marginally less likely to receive MSK disability benefits (OR 0.96, P < 0.001). Time in service was also significant: all active duty SM from Air Force (OR 1.08), Army (OR 1.09), Marine Corps (OR 1.11), and Navy (OR 1.08) with longer time in service were more likely to receive MSK benefits. Those in the National Guard/Reserve from all branches were marginally less likely to receive these benefits (All OR estimates are between 0.95 and 0.98 and P < 0.001). The pay grade of the SM was significant in that enlisted, warrant officers, and officers were more likely to have an MSK SCDB with higher rank.
Those with disability separations were significantly more likely to receive MSK SCDB (OR 2.37, P < 0.001) as compared to those with normal separations. Other nonroutine separations were less likely to receive MSK disability benefits in the adjusted analysis.
The most common MSK diagnoses by anatomy involved the spine, followed by ankle, feet, arm, and general joints (Fig. 2). By pathology, conditions were either limited motion/impairment, arthritis, inflammation, or "other" that included vascular issues, embolism, and urticaria. The distribution of the MSK disability diagnoses were fairly similar for those with normal and disability separations in most categories; those with normal separations had a higher rate of disabilities associated with general joints and hands and lower rate of thigh-related disabilities.
MSK conditions are among the most prevalent of all medical diagnoses in SM and Veterans alike.[
TABLE II Results of Logistic Regression Models for Award of SCDB for MSK Conditions in the VA for 1,558,449 SM Who Separated From the Military From October 1, 2001 to May 2017 and Had At Least One Encounter in the VA During the Study Period (up to March 2018)
Variable Level Odds Ratio Sex Male (Referent) — — Female 1.15 <0.001 Race/ethnicity Caucasian/White (Referent) — — American Indian/Alaskan Native 0.99 0.60 Asian/Native Hawaiian/other Pacific Islander 0.98 0.00 Black or African American 1.04 <0.001 Hispanic 1.03 <0.001 Education No high school diploma 0.98 0.12 High school equivalent 0.88 <0.001 High school (Referent) — — Some college 1.03 <0.001 Associates degree 1.15 <0.001 Baccalaureate degree 1.09 <0.001 Graduate/professional degree 1.08 <0.001 Marital status Never married (Referent) — — Divorced 1.13 <0.001 Married 1.16 <0.001 Combat flag Yes 0.96 <0.001 Last separation (Missing) 0.80 <0.001 pay grade E1 0.53 <0.001 E2 0.65 <0.001 E3 0.77 <0.001 E4 (Referent) — — E5 1.25 <0.001 E6 1.57 <0.001 E7 1.94 <0.001 E8 2.03 <0.001 E9 2.19 <0.001 W1 0.87 0.19 W2 1.63 <0.001 W3 2.11 <0.001 W4 2.15 <0.001 W5 2.04 <0.001 O01 0.82 <0.001 O02 1.03 0.34 O03 1.40 <0.001 O04 1.58 <0.001 O05 1.73 <0.001 O06 1.59 <0.001 O07 1.50 <0.001 O08 1.47 <0.001 O09 1.05 0.78 O10 0.82 0.51 Time in service Air Force/Active 1.08 <0.001 (log2) Air Force/Guard 0.95 <0.001 Air Force/Reserve 0.96 <0.001 Army/Active 1.09 <0.001 Army/Guard 0.98 <0.001 Army/Reserve 0.97 <0.001 Coast Guard 1.05 <0.001 Marine Corps/Active 1.11 <0.001 Marine Corps/Reserve 0.97 <0.001 Navy/Active 1.08 <0.001 Navy/Reserve 0.96 <0.001 Separation Normal (Referent) — — category Disability 2.37 <0.001 Disqualified 0.74 <0.001 Early 0.92 <0.001 Misconduct 0.57 <0.001
1 aOmits the nonstatistically significant "Unknown" level.
2 bOmits levels annulled, separated, and widowed in the model that had small counts and were not statistically significant for brevity.
The MSK disability benefits were noted in large proportions in SM from all separation categories. The demonstration that 48% of those with normal separations received MSK SCDB in the VA is an interesting finding. The proportion of disability conditions by anatomy and disease process were largely similar to those with disability separations; there was an increase in hand and general joint conditions. While battle injuries may be contributing to these disability benefits, it is likely that the benefits are being awarded for chronic MSK conditions that may have been worsened during military service. With normal separations accounting for 75% of all separations, this signals an otherwise unexpected demand on resources in the VA and merits further study with the goal of preventing and mitigating injuries and strain while in the military.[
The concordant results of time in service and higher rank among active duty SM being associated with increased likelihood of receiving disability benefits likely indicates these variables being correlated. The association of higher education is also likely related to either higher rank or time in service.
Females were more likely to receive MSK SCDB as compared to male Veterans; this supports descriptive studies of increased rate of injuries in female SM.[
We acknowledge several limitations. Because of the nature of the administrative data used in our study, we are not able to determine who filed claims for disability and those who were denied. Studies have demonstrated that those denied disability benefits are more vulnerable, likely lack social support, and generally have poorer health.[
Although active duty SM with disability separations were more likely to receive MSK-related SC disability ratings in the VA, those with normal separations were also among those who received such ratings. Of interest, those with a combat flag were less likely to receive MSK-related SC disability ratings. Thus, the separation type is not sufficient to predict SC disability status that is determined postdeployment in the VA. The top disability conditions noted are fairly constant across various service eras and represent foundational VA services that need to be fully staffed and resourced, especially for MSK-related conditions. Further research is needed to identify demographic and military-specific predictors such as military occupation codes as a marker of MSK-related SC disabilities.[
Funding for this project was provided by grant F3Z4537031GW01 (Travis Air Force Base, PIs: I.J.S. and A.V.G.), and VA Center of Innovation Award #I50HX001240 from the Health Services Research and Development of the Office of Research and Development of the U.S. Department of Veterans Affairs.
Presented as a poster presentation at the 2018 Military Health System Research Symposium, August 2018, Kissimmee, FL; abstract #MHSRS-18-1121.
The views expressed in this article are those of the authors and do not necessarily represent the position or policy of the U.S. Department of Veterans Affairs, U.S. Army, U.S. Air Force, Department of Defense, or the U.S. government. The authors declare no conflicts of interest
By Adi V Gundlapalli; Andrew M Redd; Ying Suo; Warren B P Pettey; Emily Brignone; David L Chin; Lauren E Walker; Eduard A Poltavskiy; Jud C Janak; Jeffrey T Howard; Lt Col Jonathan A Sosnov and Lt Col Ian J Stewart
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