Abstract
What are the new findings?
Musculoskeletal disorders in combination with administrative and other health services (ICD-10 “Z” codes) accounted for more than half of all medical encounters in 2023 among service members deployed to the U.S. Central Command (CENTCOM) and Africa Command (AFRICOM). Three common injury conditions occurred among male and female service members deployed to U.S. CENTCOM and U.S. AFRICOM: other back problems, arm and shoulder injuries, and knee injuries.
What is the impact on readiness and force health protection?
Thorough examination of the most common causes of injury and illness during deployment can assist senior leaders in the development and implementation of strategies to reduce preventable medical issues, enhance force readiness, and ensure fighting strength.
1. BACKGROUND
Each year, MSMR estimates illness and injury-related morbidity and health care burdens on the U.S. Armed Forces and the Military Health System (MHS), and this report updates previous analyses of these burden distributions among active and reserve component service members in deployed settings. While deployed service members are primarily selected from a subset of the active component, the reserve component contributes a substantial portion of U.S. deployed forces.
This report utilizes data from the Theater Medical Data Store (TMDS), which documents service members’ inpatient and outpatient encounters while treated in an operational environment. TMDS receives medical data from Theater Medical Information Program-Joint (TMIP-J) applications, including AHLTA-Theater, TMIP-Composite Health Care System Cache, Mobile Computing Capability, Maritime Medical Modules, and the U.S. Transportation Command Regulating and Command and Control Evacuation System (TRAC2ES).1
The health encounters of service members deployed to 2 specific theaters of operation, US Central Command (CENTCOM) and US Africa Command (AFRICOM), are the subject of this report. While U.S. service members are deployed to all the geographic combatant commands, the largest concentrations without access to fixed medical facilities are in the CENTCOM and AFRICOM areas of operation.2 While this report focuses on medical encounters of service members treated in CENTCOM and AFRICOM operational environments during the 2023 calendar year, future reports may incorporate other combatant commands as circumstances dictate and data become available.
2. METHODS
The surveillance population included all individuals who served in the active or reserve components of the U.S. Army, Navy, Air Force, Marine Corps, or Space Force with health care encounters captured in the TMDS during the surveillance period. Analysis was restricted to encounters where the theater of care specified was CENTCOM or AFRICOM, or where the name of the theater of operation was missing or null; by default, this excluded encounters in the U.S. Northern Command (NORTHCOM), U.S. European Command (EUCOM), U.S. Indo-Pacific Command (INDOPACOM), or U.S. Southern Command (SOUTHCOM) theaters of operations. In addition, TMDS-recorded medical encounters where the data source was identified as Shipboard Automated Medical System, or where the military treatment facility descriptor indicated that care was provided aboard ship, were excluded from this analysis. Encounters from aeromedical staging facilities outside of CENTCOM or AFRICOM were also excluded.
Morbidity burdens attributable to various conditions were estimated by diagnosis distribution according to the 17 traditional categories of the International Classification of Diseases (ICD) system, with an 18th category for COVID-19. Extended ICD-10 (10th Revision) code groupings were also reviewed for the most common diagnoses. The TMDS has not fully transitioned to ICD-10 codes, so some ICD-9 (9th Revision) codes were included. Primary diagnoses that did not correspond to an ICD-9 or ICD-10 code are not reported in this burden analysis.
3. RESULTS
A total of 182,943 medical encounters occurred among 53,215 individuals deployed to Southwest Asia, the Middle East, and Africa in 2023. Of those 182,943 total medical encounters documented in 2023 among deployed service members, 84 (0.05%) were recorded as hospitalizations. The majority of medical encounters (n=137,447; 75.1%), individuals affected (n=43,001; 80.8%), and hospitalizations (n=70; 83.3%) occurred among male service members.
In 2023 the largest percentages of medical encounters attributed to a major ICD-10 diagnostic category were coded as musculoskeletal system/connective tissue disorders, followed by administrative and other health services (Z codes; includes factors influencing health status and health service contact) (Figure). The most common diagnosis within the musculoskeletal system/connective tissue disorders group was for lower back pain (ICD-10 code beginning with M545) (Table).
Figure. Major ICD-9 and ICD-10 Diagnostic Categories of In-Theater Medical Encounters, Active Component, U.S. Armed Forces, 2019, 2021 and 2023.

Table.
Most Frequent ICD-10 Diagnostic Codes for In-Theater Medical Encounters by Sex, Active Component, U.S. Armed Forces, 2023
| Total | Men | Women | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| ICD-10 Codea | Description | No. | % | ICD-10 Code | Description | No. | % | ICD-10 Code | Description | No. | % |
| Z029 | Encounter for administrative examinations, unspecified | 8,502 | 4.7 | Z029 | Encounter for administrative examinations, unspecified | 6,208 | 4.5 | Z029 | Encounter for administrative examinations, unspecified | 2,294 | 5.0 |
| Z5682 | Military deployment status | 6,493 | 3.6 | Z5682 | Military deployment status | 4,919 | 3.6 | Z5682 | Military deployment status | 1,574 | 3.5 |
| M545 | Low back pain | 5,288 | 2.9 | M545 | Low back pain | 4,364 | 3.2 | Z1159 | Encounter for screening for other viral diseases | 1,428 | 3.1 |
| M5450 | Low back pain, unspecified | 4,766 | 2.6 | M5450 | Low back pain, unspecified | 3,852 | 2.8 | M545 | Low back pain | 924 | 2.0 |
| Z0289 | Encounter for other administrative examinations | 3,868 | 2.1 | M25511 | Pain in right shoulder | 3,018 | 2.2 | M5450 | Low back pain, unspecified | 914 | 2.0 |
| Z9182 | Personal history of military deployment | 3,625 | 2.0 | Z0289 | Encounter for other administrative examinations | 2,960 | 2.2 | Z0289 | Encounter for other administrative examinations | 908 | 2.0 |
| Z1159 | Encounter for screening for other viral diseases | 3,547 | 1.9 | Z9182 | Personal history of military deployment | 2,948 | 2.1 | J069 | Acute upper respiratory infection, unspecified | 844 | 1.9 |
| M25511 | Pain in right shoulder | 3,538 | 1.9 | M25512 | Pain in left shoulder | 2,686 | 2.0 | M25562 | Pain in left knee | 780 | 1.7 |
| J069 | Acute upper respiratory infection, unspecified | 3,204 | 1.8 | M25562 | Pain in left knee | 2,380 | 1.7 | M25561 | Pain in right knee | 768 | 1.7 |
| M25562 | Pain in left knee | 3,160 | 1.7 | M25561 | Pain in right knee | 2,366 | 1.7 | Z7189 | Other specified counseling | 687 | 1.5 |
| M25561 | Pain in right knee | 3,134 | 1.7 | J069 | Acute upper respiratory infection, unspecified | 2,360 | 1.7 | Z9182 | Personal history of military deployment | 677 | 1.5 |
| M25512 | Pain in left shoulder | 3,067 | 1.7 | Z1159 | Encounter for screening for other viral diseases | 2,119 | 1.5 | M542 | Cervicalgia | 663 | 1.5 |
| M542 | Cervicalgia | 2,657 | 1.5 | L731 | Pseudofolliculitis barbae | 2,110 | 1.5 | F4323 | Adjustment disorder with mixed anxiety and depressed mood | 632 | 1.4 |
| R197 | Diarrhea, unspecified | 2,607 | 1.4 | Z23 | Encounter for immunization | 2,093 | 1.5 | R197 | Diarrhea, unspecified | 549 | 1.2 |
| Z23 | Encounter for immunization | 2,605 | 1.4 | R197 | Diarrhea, unspecified | 2,058 | 1.5 | M25511 | Pain in right shoulder | 520 | 1.1 |
| Z7189 | Other specified counseling | 2,465 | 1.3 | M542 | Cervicalgia | 1,994 | 1.5 | Z23 | Encounter for immunization | 512 | 1.1 |
| L731 | Pseudofolliculitis barbae | 2,112 | 1.2 | Z7189 | Other specified counseling | 1,778 | 1.3 | Z760 | Encounter for issue of repeat prescription | 483 | 1.1 |
| M549 | Dorsalgia, unspecified | 1,811 | 1.0 | M549 | Dorsalgia, unspecified | 1,397 | 1.0 | J00 | Acute nasopharyngitis [common cold] | 432 | 1.0 |
| J00 | Acute nasopharyngitis [common cold] | 1,735 | 0.9 | J00 | Acute nasopharyngitis [common cold] | 1,303 | 0.9 | M549 | Dorsalgia, unspecified | 414 | 0.9 |
| F4323 | Adjustment disorder with mixed anxiety and depressed mood | 1,680 | 0.9 | Z760 | Encounter for issue of repeat prescription | 1,167 | 0.8 | M25551 | Pain in right hip | 412 | 0.9 |
| Z760 | Encounter for issue of repeat prescription | 1,650 | 0.9 | G4729 | Other circadian rhythm sleep disorder | 1,065 | 0.8 | F419 | Anxiety disorder, unspecified | 411 | 0.9 |
| M25571 | Pain in right ankle and joints of right foot | 1,325 | 0.7 | F4323 | Adjustment disorder with mixed anxiety and depressed mood | 1,048 | 0.8 | M25512 | Pain in left shoulder | 381 | 0.8 |
| M25572 | Pain in left ankle and joints of left foot | 1,243 | 0.7 | M25571 | Pain in right ankle and joints of right foot | 1,000 | 0.7 | M25552 | Pain in left hip | 358 | 0.8 |
| U071 | COVID-19 | 1,213 | 0.7 | M25572 | Pain in left ankle and joints of left foot | 926 | 0.7 | F4320 | Adjustment disorder, unspecified | 351 | 0.8 |
| G4729 | Other circadian rhythm sleep disorder | 1,204 | 0.7 | G4726 | Circadian rhythm sleep disorder, shift work type | 925 | 0.7 | R21 | Rash and other nonspecific skin eruption | 330 | 0.7 |
| R21 | Rash and other nonspecific skin eruption | 1,195 | 0.7 | U071 | COVID-19 | 920 | 0.7 | Z658 | Other specified problems related to pyschosocial circumstances | 329 | 0.7 |
| F4320 | Adjustment disorder, unspecified | 1,189 | 0.7 | G4700 | Insomnia, unspecified | 898 | 0.7 | M25571 | Pain in right ankle and joints of right foot | 325 | 0.7 |
| G4700 | Insomnia, unspecified | 1,174 | 0.6 | R21 | Rash and other nonspecific skin eruption | 865 | 0.6 | J029 | Acute pharyngitis, unspecified | 318 | 0.7 |
| F419 | Anxiety disorder, unspecified | 1,089 | 0.6 | F4320 | Adjustment disorder, unspecified | 838 | 0.6 | M25572 | Pain in left ankle and joints of left foot | 317 | 0.7 |
| M25551 | Pain in right hip | 1,083 | 0.6 | F419 | Anxiety disorder, unspecified | 678 | 0.5 | Z733 | Stress, not elsewhere classified | 315 | 0.7 |
| G4726 | Circadian rhythm sleep disorder, shift work type | 1,039 | 0.6 | M546 | Pain in thoracic spine | 677 | 0.5 | N760 | Acute vaginitis | 297 | 0.7 |
| R51 | Headache | 920 | 0.5 | M25551 | Pain in right hip | 671 | 0.5 | F4322 | Adjustment disorder with anxiety | 293 | 0.6 |
| R519 | Headache, unspecified | 882 | 0.5 | R51 | Headache | 636 | 0.5 | U071 | COVID-19 | 293 | 0.6 |
| M546 | Pain in thoracic spine | 865 | 0.5 | R519 | Headache, unspecified | 590 | 0.4 | R519 | Headache, unspecified | 292 | 0.6 |
| J029 | Acute pharyngitis, unspecified | 862 | 0.5 | R109 | Unspecified abdominal pain | 558 | 0.4 | R109 | Unspecified abdominal pain | 291 | 0.6 |
| R109 | Unspecified abdominal pain | 849 | 0.5 | I10 | Essential (primary) hypertension | 550 | 0.4 | R51 | Headache | 284 | 0.6 |
| M25552 | Pain in left hip | 844 | 0.5 | M722 | Plantar fascial fibromatosis | 549 | 0.4 | G4700 | Insomnia, unspecified | 276 | 0.6 |
| Z658 | Other specified problems related to pyschosocial circumstances | 807 | 0.4 | J029 | Acute pharyngitis, unspecified | 544 | 0.4 | R300 | Dysuria | 207 | 0.5 |
| Z733 | Stress, not elsewhere classified | 805 | 0.4 | R079 | Chest pain, unspecified | 520 | 0.4 | N390 | Urinary tract infection, site not specified | 203 | 0.4 |
| M722 | Plantar fascial fibromatosis | 733 | 0.4 | Z1152 | Encounter for screening for COVID-19 | 519 | 0.4 | F439 | Reaction to severe stress, unspecified | 196 | 0.4 |
| F4322 | Adjustment disorder with anxiety | 706 | 0.4 | M25569 | Pain in unspecified knee | 511 | 0.4 | M546 | Pain in thoracic spine | 188 | 0.4 |
Abbreviations: ICD-10, International Classification of Diseases, 10th Revision; ICD-9, International Classification of Diseases, 9th Revision; COVID-19, coronavirus disease 2019.
a Some ICD-9 codes still appear in TMDS. While medical encounters documented with ICD-9 codes were included in the overall analysis for major diagnostic category analysis, the summary of these codes are excluded from this table.
The percentage of total medical encounters attributed to other health services decreased from 43.5% in 2021 to 25.7% in 2023. COVID-19 accounted for only 0.7% of deployed service members’ total medical encounters in 2023 (Table). The percentages of in-theater medical encounters attributed to musculoskeletal system disorders (29.6% to 27.9%) and injuries (7.9% to 7.4%) decreased only slightly from 2019 to 2023 (Figure). Lower back pain (M545) was the most frequent ICD-10 diagnostic code for musculoskeletal encounters among both men and women (Table). The second-most frequent ICD-10 diagnostic code for musculoskeletal encounters by male service members was pain in the right shoulder (M25511), while for female service members it was pain in the left knee (M25562) (Table).
The percentages of in-theater medical encounters attributed to mental health disorders increased from 4.7% to 6.5% during the surveillance period (Figure). Adjustment disorder with mixed anxiety and depressed mood (F4323) accounted for the most frequent mental health disorder diagnoses, with a higher percentage of in-theater encounters for this disorder among women (1.4%) than men (0.8%) (Table).
4. DISCUSSION
As in prior annual reports of illness- and injury-related morbidity and health care burdens in deployed settings, musculoskeletal disorders in combination with administrative and other health services accounted for more than half of the total medical encounters in theater. In prior reports during the surveillance period, encounters for COVID-19 screening contributed to an increase in encounters for administrative and other health services, as this specific Z-code (Z1152) accounted for almost 5% of all in-theater medical encounters in 2022.3
This report documents an increased percentage of in-theater medical encounters for mental health disorders, consistent with the 2019-2023 increased rate of in-garrison ambulatory encounters for mental health disorders. The percentage of total ambulatory encounters attributed to mental health disorders in garrison (14.6%) was substantially higher, however, than the percentage observed in theater (6.5%).4 No absolute rate comparisons can be made due to the lack of in-theater denominator (person-time) data.
Encounters for certain conditions are generally rare in deployment settings. Some conditions, including diabetes, pregnancy, or congenital anomalies, often preclude service member deployment. Due to medical pre-screening, service members who are deployed demonstrate a lower rate of medical conditions that could interfere with deployment operations than their non-deployed counterparts. Deployed service members are also less likely to require medical care for pre-screened conditions.
When interpreting these results and analyses, several limitations of these data should be considered. Not all medical encounters in theaters of operations are recorded in the TMDS. Some care by in-theater medical personnel occurs at small, remote, or austere forward locations where electronic documentation of diagnosis and treatment is infeasible, and some emergency medical care for stabilization of combat-injured service members prior to evacuation may not be routinely captured in the TMDS. Due to the exigencies of deployment settings that can complicate accurate data reporting or transmission, this report may underestimate the true burden of health care in the areas of operations assessed.
In any review that relies on ICD coding, some diagnosis misclassification should be expected due to coding errors within the electronic health record. Although the aggregated distributions of illnesses and injuries presented in this report are compatible with assessments derived from other examinations of morbidity in military populations (both deployed and nondeployed), instances of highly unlikely diagnostic codes for a deployed population have been observed. This misclassification bias is likely minor and non-differential.
Because this report only includes medical evacuations from CENTCOM and AFRICOM, it does not describe any medical evacuations from the recent deployment of troops to EUCOM, INDOPACOM, and SOUTHCOM. Each area of operation is unique, with vastly different medical assets, medical evacuation capabilities, and deployed service member populations. Consequently, the results from CENTCOM or AFRICOM may not be generalizable to other combatant commands.
REFERENCES
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