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Absolute and Relative Morbidity Burdens Attributable to Various Illnesses and Injuries, Non-service Member Beneficiaries of the Military Health System, 2019

Image of A Navy doctor examines a young patient. A Navy doctor examines a young patient. (U.S. Navy photo by Chief Mass Communication Specialist Michael O’Day/Released)

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Medical Surveillance Monthly Report

WHAT ARE THE NEW FINDINGS?

In 2019, as in previous years, findings emphasize the considerable differences in the types of diseases and injuries affecting non-service member beneficiaries compared to those affecting service members. Many of the differences can be attributed to differences in the age distributions of the 2 populations. The results of this analysis document that most healthcare services in the Military Health System are delivered to non-service member beneficiaries instead of service members.

WHAT IS THE IMPACT ON READINESS AND FORCE HEALTH PROTECTION?

The care rendered to non-service member beneficiaries represents an important benefit to the families of service members and to retired service members. The provision of such care offers reassurance to service members that their families are receiving good health care, freeing them from worries about their families while engaged in national defense.

BACKGROUND

Individuals who are eligible for care through the Military Health System (MHS) (“beneficiaries”) include active component service members and their eligible family members, activated National Guard and Reserve service members and their eligible family members, and retirees and their eligible family members. In 2019, there were approximately 9.51 million beneficiaries eligible for health care in the MHS: 1.38 million active duty and activated reserve component service members, 1.68 million active duty family members, 190,000 Guard/Reserve members, 780,000 Guard/Reserve family members, and 5.49 million retirees and their family members.1 Some beneficiaries of MHS care do not enroll in the healthcare plans provided by the MHS (e.g., they use insurance through their own employment), and some of those who are enrolled do not seek care through the MHS.

MHS beneficiaries may receive care from resources provided directly by the Uniformed Services (i.e., military medical treatment facilities [MTFs]) or from civilian healthcare resources (i.e., outsourced [purchased] care) that supplement direct military medical care.1 In 2019, approximately 6.5 million non-service member beneficiaries utilized inpatient or outpatient services provided by the MHS (data source: the Defense Medical Surveillance System [DMSS]). In the population of non-service member MHS care recipients in 2019, there were more females (56.8%) than males (43.2%); more infants, children, and adolescents (those younger than 20 years old: n=1.67 million; 25.5%) and more seniors (those aged 65 years or older: n=2.10 million; 31.9%) than younger (aged 20–44 years: n=1.30 million; 19.7%) or older (aged 45–64 years: n=1.51 million; 22.9%) adults (data not shown).

Since 1998, the MSMR has published annual summaries of the numbers and rates of hospitalizations and outpatient medical encounters to assess the healthcare burdens of 16 categories of illnesses and injuries among active component military members. Beginning in 2001, the MSMR complemented those summaries with annual reports on the combined healthcare burden of both inpatient and outpatient care for 25 categories of health care. Since then, the MSMR’s annual burden issue has contained a report on hospital care, ambulatory care, and the overall burden of care each for active component service members. In 2014, for the first time and using similar methodology, the MSMR published a report that quantified the healthcare burden for illnesses and injuries among non-service members in calendar year 2013.2 The current report represents an update and provides a summary of care provided to non-service members in the MHS during calendar year 2019. Healthcare burden estimates are stratified by direct versus outsourced care and across 4 age groups of healthcare recipients.

METHODS

The surveillance period was 1 January through 31 December 2019. The surveillance population included all non-service member beneficiaries of the MHS who had at least 1 hospitalization or outpatient medical encounter during 2019 either through a military medical facility/provider or a civilian facility/provider (if paid for by the MHS). For this analysis, all inpatient and outpatient medical encounters were summarized according to the primary (first-listed) diagnoses documented on administrative records of the encounters if the diagnoses were reported with International Classification of Diseases, 10th Revision (ICD-10) codes that indicate the natures of illnesses or injuries (i.e., ICD-10 codes A00–T88). Nearly all records of encounters with first-listed diagnoses that were Z-codes (care other than for a current illness or injury—e.g., general medical examinations, after care, vaccinations) or V/W/X/Y-codes (indicators of the external causes but not the natures of injuries) were excluded from the analysis; however, encounters with primary diagnoses of Z37 (“outcome of delivery, single liveborn”) were retained.

For summary purposes, all illness- and injury-specific diagnoses (as defined by the ICD-10) were grouped into 151 burden of disease-related conditions and 25 major categories based on a modified version of the classification system developed for the Global Burden of Disease Study.3 The methodology for summarizing absolute and relative morbidity burdens is described on page 2 of this issue of the MSMR.

The new electronic health record for the MHS, MHS GENESIS, was implemented at 4 military treatment facilities in the state of Washington in 2017 (Naval Hospital Oak Harbor, Naval Hospital Bremerton, Air Force Medical Services Fairchild, and Madigan Army Medical Center). Implementation of the second wave of MHS GENESIS sites began in 2019 and included 3 facilities in California (Travis Air Force Base [AFB], the Presidio of Monterey, and Naval Air Station Lemoore) and 1 in Idaho (Mountain Home AFB). Medical data from facilities using MHS GENESIS are not available in the DMSS. Therefore, medical encounter data for individuals seeking care at any of these facilities after their conversion to MHS GENESIS were not included in the current analysis.

RESULTS

In 2019, a total of 6,576,473 non-service member beneficiaries of the MHS had 89,409,223 medical encounters (Table). Thus, on average, each individual who accessed care from the MHS had 13.6 medical encounters over the course of the year. The top 3 morbidity-related categories, which accounted for slightly more than one-third (34.5%) of all medical encounters, were signs/symptoms and ill-defined conditions (12.1%), musculoskeletal diseases (12.1%), and mental health disorders (10.3%) (Figures 1a, 1b). The illness/injury categories that affected the most beneficiaries who received any care were signs/symptoms and ill-defined conditions (46.8%), injury/poisoning (34.2%), and musculoskeletal diseases (29.8%).

Cardiovascular diseases accounted for more hospital bed days (n=1,115,429) than any other illness/injury category and 17.3% of all hospital bed days overall (Figures 1a, 1b). An additional 39.0% of all bed days were attributable to injury/poisoning (16.0%), mental health disorders (9.8%), infectious/parasitic diseases (6.8%), and digestive diseases (6.4%).

Of note, among all beneficiaries, maternal conditions (including pregnancy complications and delivery) accounted for relatively more hospital bed days (n=326,306; 5.1%) than individuals affected (n=159,367; 2.4%) (Figure 1a).

Direct CareDirect care refers to military hospitals and clinics, also known as “military treatment facilities” and “MTFs.”Direct care vs. outsourced care

In 2019, among non-service member beneficiaries, most medical encounters (91.4%) were in non-military medical facilities (outsourced care) (Table). Of all beneficiaries with any illness or injury-related encounters during the year, many more received exclusively outsourced care (n=4,868,156; 74.0%) than either military medical (direct) care only (n=627,589; 9.5%) or both outsourced and direct care (n=1,080,728; 16.4%). By far, most inpatient care (93.2% of all bed days) was received in non-military facilities.

The proportions of medical encounters by morbidity-related categories were broadly similar for direct and outsourced care (Figures 2a, 2b, 3a, 3b). However, encounters for injury/poisoning and respiratory infections were relatively more common in direct (13.1% and 8.0%, respectively) compared to outsourced (10.0% and 3.5%, respectively) care. Musculoskeletal diseases, cardiovascular diseases, neurologic conditions, and malignant neoplasms were relatively more common in outsourced (12.3%, 9.4%, 4.9%, and 3.3%, respectively) compared to direct (9.1%, 5.4%, 2.2%, and 1.5%, respectively) care.

Maternal conditions accounted for 21.6% of all direct care bed days but only 3.9% of all outsourced care bed days (Figures 2a, 2b, 3a, 3b). However, cardiovascular diseases, mental health disorders, and musculoskeletal diseases accounted for relatively more of all outsourced than direct care bed days (% of outsourced vs. % of direct care bed days: cardiovascular, 17.7% vs. 11.8%; mental health, 10.2% vs. 3.7%; musculoskeletal, 5.7% vs. 4.6%).

Pediatric beneficiaries (aged 0–17 years)

In 2019, pediatric beneficiaries accounted for 14.3% of all medical encounters, 23.1% of all individuals affected, and 7.8% of all hospital bed days (Table). On average, each affected individual had 8.4 medical encounters during the year.

Mental health disorders accounted for slightly more than one-third (34.9%; n=4,449,523) of all medical encounters and 59.8% of all hospital bed days (n=302,508) among pediatric beneficiaries (Figures 4a, 4b). On average, each pediatric beneficiary who was affected by a mental health disorder had 15.2 mental health disorder-related encounters during the year. More than two-thirds (68.3%) of all medical encounters for mental health disorders among pediatric beneficiaries were for autistic disorder (35.0%), developmental disorders of speech and language (22.9%), and attention deficit disorders (10.4%) (Figures 4c, 4d). On average, there were 49.2 autism-related encounters per individual affected with autistic disorder and 16.3 encounters for developmental disorders of speech and language per individual affected with those specific disorders (data not shown). Despite the high numbers of encounters associated with these 3 categories of mental health disorders, 44.0% of mental health disorder-related bed days were attributable to mood disorders and 42.1% of mood-related bed days were attributable to “major depressive disorder, recurrent severe without psychotic features” (data not shown).

Among pediatric beneficiaries overall, “conditions arising during the perinatal period” (i.e., perinatal conditions) accounted for the second most hospital bed days (n=38,679; 7.6%) (Figures 4a, 4b). Of note, among pediatric beneficiaries with at least 1 illness or injury-related diagnosis, those with malignant neoplasms had the second highest number of related encounters per affected individual (13.5). The highest numbers of malignant neoplasm-related encounters were attributable to leukemias, “all other malignant neoplasms,” and brain neoplasms, while the highest numbers of bed days were attributable to leukemias, brain neoplasms, and “all other malignant neoplasms” (data not shown).

Finally, respiratory infections (including upper and lower respiratory infections and otitis media) accounted for relatively more medical encounters and bed days among pediatric beneficiaries (12.3% and 4.3%, respectively) when compared to any older age group of beneficiaries (Figures 4b, 5b, 6b, and 7b).

Beneficiaries (aged 18–44 years)

In 2019, non-service member beneficiaries aged 18–44 years accounted for 13.7% of all medical encounters, 22.0% of all individuals affected, and 11.1% of hospital bed days (Table). On average, each individual affected with an illness or injury (any cause) had 8.5 medical encounters during the year.

Among beneficiaries aged 18–44 years, the morbidity-related category that accounted for the most medical encounters was mental health disorders (n=2,356,465; 19.2% of all encounters) (Figures 5a, 5b). Among these adult beneficiaries, mental health disorders accounted for 20.7% of all bed days, and, on average, each adult affected by a mental health disorder had 6.9 mental health disorder-related encounters during the year. Mood disorders (32.7%), anxiety disorders (28.8%), and adjustment disorders (17.2%) accounted for nearly four-fifths (78.7%) of all mental health disorder-related medical encounters among beneficiaries aged 18–44 years (data not shown).

Among adults aged 18–44 years, maternal conditions accounted for more than two-fifths (45.4%) of all bed days and, on average, 6.3 medical encounters per affected individual (Figures 5a, 5b). Normal deliveries accounted for 10.7% of maternal condition-related medical encounters (data not shown). Adults aged 18–44 years accounted for nearly all (99.3%) maternal condition-related bed days among beneficiaries not in military service. Although adults aged 18–44 years had the lowest percentage of total medical encounters (13.7%), if morbidity burdens associated with maternal conditions were excluded from the overall analysis, this age group would account for even lower percentages of total medical encounters (12.8%) and the lowest percentage of total hospital bed days (6.4%) when compared to any other age group (data not shown).

Among beneficiaries aged 18–44 years with at least 1 illness or injury-related diagnosis, those with malignant neoplasms had the second most (along with maternal conditions) category-specific encounters per affected individual (6.3). Of all malignant neoplasms, breast cancer accounted for the most malignant neoplasm-related encounters (28.9% of the total) (data not shown).

Beneficiaries (aged 45–64 years)

In 2019, non-service member beneficiaries aged 45–64 years accounted for 20.4% of all medical encounters, 22.9% of all individuals affected, and 14.4% of hospital bed days (Table). On average, each affected individual had 12.1 medical encounters during the year.

Of all morbidity-related categories, musculoskeletal diseases accounted for the most medical encounters (n=2,771,318; 15.2%) among older adult beneficiaries (Figures 6a, 6b). In addition, in this age group, back problems accounted for 44.4% of all musculoskeletal disease-related encounters (data not shown). Cardiovascular diseases accounted for more hospital bed days (16.5% of the total) than any other category of illnesses or injuries, and cerebrovascular disease and ischemic heart disease accounted for 32.4% and 18.0%, respectively, of all cardiovascular disease-related bed days (data not shown). Digestive diseases accounted for a larger percentage (9.4%) of total hospital bed days among beneficiaries in this age group compared to those in the other age groups.

The most medical encounters per affected individual were associated with malignant neoplasms (6.3), mental health disorders (6.0), maternal conditions (5.3), musculoskeletal diseases (5.0), neurologic conditions (4.5), injury/poisoning (4.3), and respiratory diseases (4.2) (data not shown). Malignant neoplasms (7.9%) accounted for a larger proportion of total bed days among beneficiaries aged 45–64 years than among the other age groups of beneficiaries. Breast cancer accounted for nearly one-fourth (24.0%) of all malignant neoplasm-related encounters among older adult beneficiaries (data not shown).

Beneficiaries (aged 65 years or older)

In 2019, non-service member beneficiaries aged 65 years or older accounted for slightly more than half (51.6%) of all medical encounters, nearly one-third (31.9%) of all individuals affected, and slightly more than two-thirds (66.7%) of hospital bed days (Table 1). On average, each affected individual had 22.0 medical encounters during the year.

Of all morbidity-related categories, musculoskeletal diseases (n=6,476,843; 14.0%) and cardiovascular diseases (n=6,297,744; 14.0%) accounted for the most medical encounters, but cardiovascular diseases accounted for the most bed days (941,244 days; 21.9%) (Figures 7a, 7b). Back problems accounted for a little more than one-third (36.3%) of all musculoskeletal disease-related medical encounters but only 1.6% of hospital bed days (data not shown). Essential hypertension (26.3%), ischemic heart disease (14.3%), and cerebrovascular disease (9.8%) accounted for slightly more than half (50.4%) of all cardiovascular disease-related medical encounters, and cerebrovascular disease accounted for over one-quarter (29.1%) of all cardiovascular disease-related bed days (data not shown).

Among the oldest age group of beneficiaries, the most medical encounters per affected individual were associated with musculoskeletal diseases (6.6), malignant neoplasms (5.8), respiratory diseases (5.7), diseases of the genitourinary system (5.4), cardiovascular diseases (5.2), and mental health disorders (5.1) (Figure 7a). In this age group, melanomas and other skin cancers (20.2%); prostate cancer (14.5%); breast cancer (12.2%); and trachea, bronchus, and lung cancers (10.6%) accounted for more than half (57.5%) of all malignant neoplasm-related encounters (data not shown). Chronic obstructive pulmonary disease accounted for more than two-fifths of all medical encounters (41.4%) and approximately one-third of all bed days (35.3%) attributable to respiratory diseases (data not shown).

Infectious and parasitic diseases (8.1%) accounted for a larger proportion of total bed days among the oldest age group compared to the other age groups of beneficiaries (Figures 7a, 7b). In contrast, mental health disorders accounted for smaller percentages of medical encounters (2.6%) and bed days (2.5%) among the oldest age group compared to the younger age groups.

EDITORIAL COMMENT

This report describes the seventh estimate of overall morbidity burdens among non-service member beneficiaries of the MHS. The report notes that a large majority of the healthcare services for current illness and injury (excluding encounters with diagnoses identified by Z-codes) that are provided through the MHS to non-service member beneficiaries are delivered in non-military medical facilities (i.e., outsourced [purchased] care). The report also documents that there are pronounced differences in the types of morbidity and the natures of the care provided for evaluation and treatment across age groups of beneficiaries. Of particular note, individuals aged 65 years or older—31.9% of all non-service member beneficiaries—accounted for more than half (51.6%) of all medical encounters and two-thirds (66.7%) of all hospital bed days delivered to all such beneficiaries.

In 2019, as in previous years, mental health disorders accounted for the largest proportions of the morbidity and healthcare burdens that affected the pediatric (aged 0–17 years) and younger adult (aged 18–44 years) beneficiary age groups. Among pediatric beneficiaries, 68.3% of medical encounters for mental health disorders were attributable to autistic disorder, developmental speech/language disorders, or attention deficit disorders. Of particular note, children affected by autistic disorder had, on average, 49.2 autism-related encounters each during the 1-year surveillance period.

Although mental health disorders also accounted for more medical encounters among young adult (18–44 years) beneficiaries than any other major category of illnesses or injuries, the proportion of all encounters attributable to mental health disorders was markedly lower among young adult (19.2%) than pediatric (35.0%) beneficiaries. Also, as expected, the mental health disorders that accounted for the largest healthcare burdens among younger adults (18–44 years)—mood, anxiety, and adjustment disorders—differed from those that most affected the pediatric age group.

It is not surprising that the highest numbers and proportions of hospital bed days among adults aged 18–44 years were for maternal conditions because this age group encompasses nearly all women of childbearing age. Among older adults (aged 45–64 years), musculoskeletal diseases were the greatest contributors to morbidity and healthcare burdens, and among adults aged 65 years or older, cardiovascular diseases accounted for the most morbidity and healthcare burdens.

Of musculoskeletal diseases, back problems were a major source of healthcare burden; of cardiovascular diseases, essential hypertension, ischemic heart disease, and cerebrovascular disease accounted for the largest healthcare burdens. These findings are not surprising and reflect the inevitable effects of aging on the health and healthcare needs of the older segment of the MHS beneficiary population. However, many of the health conditions associated with the largest morbidity and healthcare burdens among beneficiaries in older age groups are also associated with unhealthy lifestyles (e.g., unhealthy diet, inadequate exercise, or tobacco use). As such, to varying extents, the most costly health conditions may be preventable and their disabling or life-threatening long-term consequences may be avoidable. Illnesses and injuries that disproportionately contribute to morbidity and healthcare burdens in various age groups of MHS beneficiaries should be targeted for early detection and treatment by comprehensive prevention and research programs.

REFERENCES

1. Department of Defense. Evaluation of the TRICARE Program: Fiscal Year 2019 Report to Congress: Access, Cost, and Quality Data Through Fiscal Year 2018. https://www.health.mil/Reference-Center/Reports/2019/07/09/Evaluation-of-the-TRICARE-Program-Fiscal-Year-2018-Report-to-Congress. Accessed 27 April 2020.

2. Armed Forces Health Surveillance Center. Absolute and relative morbidity burdens attributable to various illnesses and injuries, non-service member beneficiaries of the Military Health System, 2013. MSMR. 2014;21(4):23–30.

3. Murray CJL and Lopez AD, eds. Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability from Diseases, Injuries, and Risk Factors in 1990 and Projected to 2020. Cambridge, MA: Harvard University Press; 1996:120–122.

FIGURE 1a. Numbers of medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, 2019

FIGURE 1b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, 2019

FIGURE 2a. Numbers of medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, direct care only, 2019

FIGURE 2b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, direct care only, 2019

FIGURE 3a. Numbers of medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, outsourced care only, 2019

FIGURE 3b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, outsourced care only, 2019

FIGURE 4a. Medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, pediatric non-service member beneficiaries, aged 0–17 years, 2019

FIGURE 4b. Percentages of medical encountersa and hospital bed days, by burden of disease category,b pediatric non-service member beneficiaries, aged 0–17 years, 2019

FIGURE 4c . Medical encounters,a individuals affected,b and hospital bed days, by the mental health disorders accounting for the most morbidity burden, pediatric non-service member beneficiaries, aged 0–17 years, 2019

FIGURE 4d. Percentages of medical encountersa and hospital bed days for mental health disorders by the conditions accounting for the most morbidity burden, pediatric non-service member beneficiaries, aged 0–17 years, 2019

FIGURE 5a. Medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, aged 18–44 years, 2019

FIGURE 5b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, aged 18–44 years, 2019

FIGURE 6a. Medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, aged 45–64 years, 2019

 

FIGURE 6b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, aged 45–64 years, 2019

FIGURE 7a. Medical encounters,a individuals affected,b and hospital bed days, by burden of disease major category,c non-service member beneficiaries, aged 65 years or older, 2019

FIGURE 7b. Percentages of medical encountersa and hospital bed days, by burden of disease major category,b non-service member beneficiaries, aged 65 years or older, 2019

TABLE. Medical encounters,a individuals affected,b and hospital bed days, by source and age group, non-service member beneficiaries, 2019

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Human adenoviruses (HAdVs) are known to cause respiratory illness outbreaks at basic military training (BMT) sites. HAdV type-4 and -7 vaccines are routinely administered at enlisted BMT sites, but not at military academies. During August–September 2016, U.S. Naval Academy clinical staff noted an increase in students presenting with acute respiratory illness (ARI). An investigation was conducted to determine the extent and cause of the outbreak. During 22 August–11 September 2016, 652 clinic visits for ARI were identified using electronic health records. HAdV-4 was confirmed by real-time polymerase chain reaction assay in 18 out of 33 patient specimens collected and 1 additional HAdV case was detected from hospital records. Two HAdV-4 positive patients were treated for pneumonia including 1 hospitalized patient. Molecular analysis of 4 HAdV-4 isolates identified genome type 4a1, which is considered vaccine-preventable. Understanding the impact of HAdV in congregate settings other than enlisted BMT sites is necessary to inform discussions regarding future HAdV vaccine strategy.

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Medical Surveillance Monthly Report

Update: Incidence of Glaucoma Diagnoses, Active Component, U.S. Armed Forces, 2013–2017

Article
2/1/2019
Glaucoma

Glaucoma is an eye disease that involves progressive optic nerve damage and vision loss, leading to blindness if undetected or untreated. This report describes an analysis using the Defense Medical Surveillance System to identify all active component service members with an incident diagnosis of glaucoma during the period between 2013 and 2017. The analysis identified 37,718 incident cases of glaucoma and an overall incidence rate of 5.9 cases per 1,000 person-years (p-yrs). The majority of cases (97.6%) were diagnosed at an early stage as borderline glaucoma; of these borderline cases, 2.2% progressed to open-angle glaucoma during the study period. No incident cases of absolute glaucoma, or total blindness, were identified. Rates of glaucoma were higher among non-Hispanic black (11.0 per 1,000 p-yrs), Asian/Pacific Islander (9.5), and Hispanic (6.9) service members, compared with non-Hispanic white (4.0) service members. Rates among female service members (6.6 per 1,000 p-yrs) were higher than those among male service members (5.8). Between 2013 and 2017, incidence rates of glaucoma diagnoses increased by 75.4% among all service members.

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Medical Surveillance Monthly Report

Re-evaluation of the MSMR Case Definition for Incident Cases of Malaria

Article
2/1/2019
Anopheles merus

The MSMR has been publishing the results of surveillance studies of malaria since 1995. The standard MSMR case definition uses Medical Event Reports and records of hospitalizations in counting cases of malaria. This report summarizes the performance of the standard MSMR case definition in estimating incident cases of malaria from 2015 through 2017. Also explored was the potential surveillance value of including outpatient encounters with diagnoses of malaria or positive laboratory tests for malaria in the case definition. The study corroborated the relative accuracy of the MSMR case definition in estimating malaria incidence and provided the basis for updating the case definition in 2019 to include positive laboratory tests for malaria antigen within 30 days of an outpatient diagnosis.

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Medical Surveillance Monthly Report

Adrenal Gland Disorders, Active Component, U.S. Armed Forces, 2002–2017

Article
12/1/2018

During 2002–2017, the most common incident adrenal gland disorder among male and female service members was adrenal insufficiency and the least common was adrenomedullary hyperfunction. Adrenal insufficiency was diagnosed among 267 females (crude overall incidence rate: 8.2 cases per 100,000 person-years [p-yrs]) and 729 males (3.9 per 100,000 p-yrs). In both sexes, overall rates of other disorders of adrenal gland and Cushing’s syndrome were lower than for adrenal insufficiency but higher than for hyperaldosteronism, adrenogenital disorders, and adrenomedullary hyperfunction. Crude overall rates of adrenal gland disorders among females tended to be higher than those of males, with female:male rate ratios ranging from 2.1 for adrenal insufficiency to 5.5 for androgenital disorders and Cushing’s syndrome. The highest overall rates of adrenal insufficiency for males and females were among non-Hispanic white service members. Among females, rates of Cushing’s syndrome and other disorders of adrenal gland were 31.6 per 100,000 active component service members in 2017. Validation of ICD-9/ICD-10 diagnostic codes for MetS using the National Cholesterol Education Program Adult Treatment Panel III criteria is needed to establish the level of agreement between the two methods for identifying this condition.

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Medical Surveillance Monthly Report

Incidence and Prevalence of the Metabolic Syndrome Using ICD-9 and ICD-10 Diagnostic Codes, Active Component, U.S. Armed Forces, 2002–2017

Article
12/1/2018

This report uses ICD-9 and ICD-10 codes (277.7 and E88.81, respectively) for the metabolic syndrome (MetS) to summarize trends in the incidence and prevalence of this condition among active component members of the U.S. Armed Forces between 2002 and 2017. During this period, the crude overall incidence rate of MetS was 7.5 cases per 100,000 person-years (p-yrs). Compared to their respective counterparts, overall incidence rates were highest among Asian/Pacific Islanders, Air Force members, and warrant officers and were lowest among those of other/unknown race/ethnicity, Marine Corps members, and junior enlisted personnel and officers. During 2002–2017, the annual incidence rates of MetS peaked in 2009 at 11.6 cases per 100,000 p-yrs and decreased to 5.9 cases per 100,000 p-yrs in 2017. Annual prevalence rates of MetS increased steadily during the first 11 years of the surveillance period reaching a high of 38.9 per 100,000 active component service members in 2012, after which rates declined slightly to 31.6 per 100,000 active component service members in 2017. Validation of ICD-9/ICD-10 diagnostic codes for MetS using the National Cholesterol Education Program Adult Treatment Panel III criteria is needed to establish the level of agreement between the two methods for identifying this condition.

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Medical Surveillance Monthly Report

Thyroid Disorders, Active Component, U.S. Armed Forces, 2008–2017

Article
12/1/2018

This analysis describes the incidence and prevalence of five thyroid disorders (goiter, thyrotoxicosis, primary/not otherwise specified [NOS] hypothyroidism, thyroiditis, and other disorders of the thyroid) among active component service members between 2008 and 2017. During the 10-year surveillance period, the most common incident thyroid disorder among male and female service members was primary/NOS hypothyroidism and the least common were thyroiditis and other disorders of thyroid. Primary/NOS hypothyroidism was diagnosed among 8,641 females (incidence rate: 43.7 per 10,000 person-years [p-yrs]) and 11,656 males (incidence rate: 10.2 per 10,000 p-yrs). Overall incidence rates of all thyroid disorders were 3 to 5 times higher among females compared to males. Among both males and females, incidence of primary/NOS hypothyroidism was higher among non-Hispanic white service members compared with service members in other race/ethnicity groups. The incidence of most thyroid disorders remained stable or decreased during the surveillance period. Overall, the prevalence of most thyroid disorders increased during the first part of the surveillance period and then either decreased or leveled off.31.6 per 100,000 active component service members in 2017. Validation of ICD-9/ICD-10 diagnostic codes for MetS using the National Cholesterol Education Program Adult Treatment Panel III criteria is needed to establish the level of agreement between the two methods for identifying this condition.

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Medical Surveillance Monthly Report
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