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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Psychiatr Serv. 2016 Aug 1;68(1):48–55. doi: 10.1176/appi.ps.201500290

Prevalence of Alcohol Misuse and Follow-Up Care in a National Sample of OEF/OIF VA Patients With and Without TBI

Joel Grossbard 1, Carol A Malte 2, Gwen Lapham 3, Kathleen Pagulayan 4, Aaron P Turner 5,6, Anna D Rubinsky 7,8, Katharine A Bradley 9,10, Andrew J Saxon 11,12, Eric J Hawkins 13,14
PMCID: PMC5704906  NIHMSID: NIHMS917489  PMID: 27476804

Abstract

Objective

Information on prevalence and management of alcohol misuse among Afghanistan and Iraq veterans with traumatic brain injury (TBI) is limited. This study compared rates of alcohol misuse and follow-up care—brief intervention (BI) and addiction treatment—among Afghanistan and Iraq veterans with and without TBI receiving care from the Department of Veterans Affairs (VA).

Methods

The sample included veterans ages 18 and older screened with the Alcohol Use Disorders Identification Test alcohol consumption questions (AUDIT-C) in 2012 who received VA health care in the prior year (N=358,417). Overall and age-specific estimates of alcohol misuse (AUDIT-C score ≥5) were compared for men and women with and without TBI by logistic regression. BI and addiction treatment after screening were compared between groups by using multivariable logistic regression.

Results

Alcohol misuse was higher among men with TBI than among men without TBI (20.3%, 95% confidence interval [CI]=19.9–20.8, versus 16.4%, CI=16.3–16.6) and among women with TBI than among women without TBI (6.8%, CI = 5.8–8.1, versus 5.6%, CI=5.4–5.8); younger (age <30) patients with TBI had the highest rates. BI rates did not differ by TBI status (76.4%–80.2%). Addiction treatment rates for those with severe misuse were higher among those with TBI (men, 20.0%, CI=18.4–21.6, versus 15.4%, CI=14.9–15.9; women, 36.6%, CI=21.8–51.3, versus 21.1%, CI=18.2–24.0).

Conclusions

Alcohol misuse is common among Iraq and Afghanistan veterans with TBI, particularly young men. BI rates were high and did not vary by TBI status, although addiction treatment rates were higher among patients with TBI than among those without TBI.


Up to 40% of veterans of the conflicts in Afghanistan (Operation Enduring Freedom [OEF]) and Iraq (Operation Iraqi Freedom [OIF]) who are enrolled in the Department of Veterans Affairs (VA) health care system screen positive for alcohol misuse (1,2), which covers the spectrum from risky drinking to alcohol use disorder (3). Alcohol misuse affects health through direct harms on acute and chronic conditions and associations with self-care behaviors for conditions such as traumatic brain injury (TBI) (46).

Approximately 10%–15% of OEF/OIF veterans have sustained at least one TBI during their deployments (7,8), a significant percentage of whom report persisting post-concussive symptoms, even years postinjury (9,10). Most OEF/OIF patients with TBI have a comorbid psychiatric diagnosis (11) or chronic pain (9,12). Such conditions may increase risk of alcohol misuse, although prior research yielded inconsistent findings on the relationship between TBI and alcohol misuse. Two studies have found higher rates of alcohol misuse among OEF/OIF military personnel with TBI compared with those without TBI (13,14). Other research has found no association between postdeployment alcohol misuse and TBI after adjustment for posttraumatic stress disorder (PTSD) symptoms (15,16).

Alcohol use is associated with numerous negative outcomes among patients with TBI and, even in limited quantities, may impair recovery from TBI (7,17,18). TBI and alcohol misuse are each individually associated with changes in brain structure and reduced cognitive abilities (19,20). Alcohol misuse, including heavy episodic drinking (six or more drinks on one occasion) (21), among younger veterans with TBI is concerning because heavy episodic drinking may adversely affect neurocognitive development (22). Further, alcohol misuse can increase the risk of recurrent TBI (23,24). Emerging evidence suggests that TBI is associated with greater risk of developing an alcohol use disorder (15,16). These findings suggest that early detection and intervention targeting alcohol misuse among veterans with TBI may promote postinjury recovery and prevention of chronic alcohol problems.

Alcohol screening and brief intervention (BI) are recommended by the U.S. Preventive Services Task Force (25) and deemed the third highest prevention priority for adults (26). BIs as brief as five to 15 minutes consisting of advice to drink within recommended limits reduce alcohol use (27). The VA implemented alcohol screening in 2003 and has since required annual administration of the Alcohol Use Disorders Identification Test alcohol consumption questions (AUDIT-C) to screen outpatients. In 2008, the VA implemented performance incentives and disseminated an electronic reminder to prompt providers to offer BI for outpatients who screen positive for alcohol misuse with AUDIT-C scores ≥5 (28). Further, the VA/DoD Clinical Practice Guideline for Management of Substance Use Disorders recommends that clinicians offer treatment referral to patients who have a diagnosis of or are at higher risk of (AUDIT-C score ≥8) an alcohol use disorder (29). Among OEF/OIF veterans with alcohol misuse identified by screening, 70%–80% had BI and 20%–40% were referred for addiction treatment (1,2). However, rates of subsequent attendance at addiction specialty care are unknown.

Rates of alcohol misuse and TBI are high among OEF/OIF veterans, and in combination, these conditions are associated with poorer medical, neurobehavioral, and life satisfaction outcomes (30). Although alcohol screening and BI for patients with TBI may reduce trauma recidivism and alcohol-related problems, results from a recent study among trauma centers suggest diminished effects among patients with TBI compared with those without TBI (31). To our knowledge, no study has examined the prevalence of alcohol misuse and documented follow-up care for alcohol misuse–BI and addiction treatment–among OEF/OIF VA patients with and without TBI. This study used national VA health care utilization data to estimate the gender-specific prevalence of alcohol misuse and heavy episodic drinking among OEF/OIF VA patients with and without TBI. Among OEF/OIF VA patients with alcohol misuse, the study also estimated and compared the gender-specific prevalence of documented BI and addiction treatment attendance for those with and without TBI. This information could help identify gaps in the delivery of care for this high-risk population.

METHODS

Data Source and Study Sample

This study used data from the VA Corporate Data Warehouse (CDW), a national data repository that includes clinical and administrative data for VA patients seen at all VA facilities, including patient-level data on demographic factors, clinical diagnoses, and alcohol screening and BI documented in the electronic medical record (EMR). Study approval was obtained from the VA Puget Sound Health Care System Institutional Review Board.

Veterans ages 18 and older were eligible for study inclusion if they received alcohol screening with the AUDIT-C questionnaire in 2012, had documented OEF/OIF service determined by an OEF/OIF patient record flag available through the VA Decision Support System, and used outpatient or inpatient VA services (one or more visits) in the year before the date of the AUDIT-C.

Outcome Measures

Alcohol screening

Alcohol use was defined by scores on the AUDIT-C, a validated three-item screen for alcohol misuse (3235). AUDIT-C items assess the frequency and quantity of typical drinking and the frequency of heavy episodic drinking. [A list of AUDIT-C items is included in an online supplement to this article.] AUDIT-C scores range from 0 to 12, with higher scores indicating greater severity (36,37). VA providers are prompted by an electronic reminder in the EMR to administer the AUDIT-C to all patients annually. VA provides incentives for administering BI for patients with AUDIT-C scores ≥5 to minimize the clinical burden of providing BI for false-positive screens. Therefore, AUDIT-C scores ≥5 were used as our dichotomous measure of any alcohol misuse.

To facilitate interpretation of AUDIT-C scores, the scores were categorized into four risk groups (37): nondrinkers (score of 0), low-level drinkers (score of 1–4), moderate alcohol misuse (score of 5–7), and severe alcohol misuse (score of 8–12). AUDIT-C item 3 was used to assess heavy episodic drinking, defined as reporting six or more drinks on a single occasion at least monthly.

Documented BI

Since 2008, documentation of BI, consisting of alcohol-related advice and feedback on health consequences of drinking, has been facilitated by a national electronic reminder in VA’s EMR and is expected for outpatients who screen positive for alcohol misuse (AUDIT-C score ≥5) (28,38). We identified BI documented with the electronic reminder by using text data elements called “health factors” (HFs). HFs are generated when an electronic reminder is used to document VA care and can be extracted from the CDW. Although the BI electronic reminder is mandated nationally, facilities could edit HFs locally. We identified HFs reflecting advice or counseling regarding alcohol use in the 30 days before or after a positive screen and combined them into a single dichotomous measure of documented BI. Because the BI electronic reminder typically requires documentation of both advice and feedback, this measure was expected to be a good proxy for BI (38). A period before the alcohol screen date was included to accommodate various alcohol screening strategies employed in VA clinics. For example, some clinics administer screening questionnaires in a paper-and-pencil format during patient visits and enter questionnaire data into the medical record at a later date.

Documented addiction treatment attendance

Data on addiction treatment attendance in the VA was obtained by using outpatient clinic stop codes and defined as documented attendance at one or more visits in a VA addiction treatment clinic during the 90 days following the date of a positive screen. This measure did not include follow-up care for alcohol misuse in non-VA facilities.

Predictors and Covariates

TBI diagnostic status

Patients were classified as having TBI if an appropriate ICD-9-CM diagnosis was documented in the EMR between 365 days before and 30 days after the alcohol screen date. These ICD-9-CM codes (310.2, 800.00–800.99, 801.00–801.99, 803.00–803.99, 804.00–804.99, 850.00–850.99, 851.00–854.19, 905.0, 907.0, 950.1–950.3, 959.01, 959.09, and V15.52) are used by the VA for TBI surveillance (39,40). TBIs that were diagnosed outside the VA and not documented in the VA EMR were not captured in this study. We included a 30-day window following the alcohol screen date to ensure inclusion of patients who screened positive on the TBI electronic reminder at the time of alcohol screening but needed to complete the VA-mandated TBI comprehensive evaluation to determine whether they met diagnostic criteria for TBI (41).

Patient characteristics and medical facility

Covariates associated with the prevalence of alcohol misuse and TBI (42,43) and available from the CDW were selected. Sociodemographic factors included age, gender, marital status, race, ethnicity, and VA disability compensation. Clinical characteristics included psychiatric and substance use disorders (current and in remission), tobacco use disorder, and pain diagnoses based on ICD-9-CM codes documented between 365 days before and 30 days after the alcohol screen date. A variable noting the VA facility where screening occurred (of 138 medical facilities nationwide) was also included.

Data Analyses

All analyses were performed separately for men and women, because gender is associated with alcohol misuse. Descriptive statistics were generated for demographic and clinical characteristics of OEF/OIF patients with and without TBI. Unadjusted rates of alcohol use (AUDIT-C categories) and heavy episodic drinking were estimated among patients with and without TBI. Logistic regression was used to estimate age-specific (<30, 30–39, and ≥40) prevalence (95% confidence intervals [CIs]) of alcohol misuse (AUDIT-C score of ≥5), severe alcohol misuse (AUDIT-C score of ≥8), and heavy episodic drinking among patients with and without TBI. Unadjusted and adjusted logistic regression models including patients who screened positive for any alcohol misuse (AUDIT-C ≥5) and severe misuse (AUDIT-C ≥8) were used to compare documented receipt of BI and addiction treatment for patients with and without TBI. Covariates included in adjusted models were age, race, ethnicity, marital status, VA disability compensation, substance use and psychiatric disorders, and pain diagnosis. Medical facility was included as a grouping variable to account for intragroup correlation at the facility level.

RESULTS

Patient Characteristics

We identified 358,147 OEF/OIF VA patients (13.2% were women) eligible for this study, and of those 8.4% (N=30,197) had a documented TBI diagnosis (3.9% of women and 9.1% of men). Most women and men with TBI were white and non-Hispanic (Table 1). The most common psychiatric disorders among women and men with TBI were PTSD and depression, and over 80% of women and men with TBI had a pain diagnosis.

TABLE 1.

Characteristics of OEF/OIF patients in the Department of Veterans Affairs (VA) with and without traumatic brain injury (TBI)a

Women (N=47,411)
Men (N=310,736)
TBI
(N=1,836)
No TBI
(N=45,575)
TBI
(N=28,361)
No TBI (N=282,375)
Characteristic N % N % N % N %
Age
 <30 727 39.6 16,363 35.9 12,518 44.2 95,920 34.0
 30–39 648 35.3 16,554 36.3 9,592 33.8 90,600 32.1
 ≥40 461 25.1 12,658 27.8 6,251 22.0 95,855 33.9
Race
 Black 427 23.2 13,352 29.3 2,977 10.5 42,508 15.1
 White 1,151 62.6 24,954 54.8 21,417 75.5 194,759 68.9
 American Indian 20 1.1 486 1.1 331 1.2 2,181 .8
 Asian/Pacific Islander 56 3.1 1,372 3.0 745 2.6 8,349 3.0
 Multiracial 34 1.9 773 1.7 387 1.4 3,240 1.1
 Missing 148 8.1 4,638 10.2 2,504 8.8 31,338 11.1
Ethnicity
 Hispanic 240 13.1 4,885 10.7 3,584 12.5 31,362 11.1
 Non-Hispanic 1,521 82.8 37,857 83.1 23,431 82.6 231,069 81.8
 Missing 75 4.1 2,833 6.2 1,382 4.9 19,944 7.1
Married 583 31.8 14,702 32.3 14,318 50.5 142,406 50.4
VA disability compensation ≥50% 912 49.7 13,791 30.3 15,184 53.5 92,397 32.7
Tobacco use disorder 296 16.1 5,863 12.9 7,364 26.0 54,986 19.5
Other substance use disorder
 Alcohol 194 10.6 2,466 5.4 5,685 20.0 32,007 11.3
 Drug 117 6.4 1,316 2.9 3,453 12.2 16,073 5.7
Psychiatric disorder
 PTSD 1,172 63.8 11,981 26.3 20,935 73.8 94,771 33.6
 Depression 962 52.4 15,042 33.0 12,085 42.6 70,340 24.9
 Anxiety (excludes PTSD) 591 32.2 8,841 19.4 7,403 26.1 44,708 15.8
 Bipolar 92 5.0 1,593 3.5 1,134 4.0 5,984 2.1
 Psychotic spectrum 38 2.1 448 1.0 691 2.4 3,551 1.3
N of psychiatric disorders
 0 339 18.5 22,632 49.7 4,626 16.3 144,764 51.3
 1 495 27.0 11,005 24.1 9,596 33.8 71,498 25.3
 2 659 35.8 8,994 19.7 9,965 35.2 50,942 18.0
 ≥3 343 18.7 2,944 6.5 4,174 14.7 15,171 5.4
Addiction treatment (past 30 days)b 32 1.7 383 .8 1,010 3.6 5,200 1.8
Pain diagnosisc 1,588 86.5 28,996 63.6 23,818 84.0 178,454 63.2
Charlson Comorbidity Indexd
 0 1,494 81.4 39,359 86.4 24,418 86.1 246,230 87.2
 ≥1 342 18.6 6,216 13.6 3,943 13.9 36,145 12.8
Monthly heavy episodic drinkinge 165 9.0 2,962 6.5 6,920 24.4 49,980 17.7
AUDIT-C risk groups
 Negative screen
  Nondrinker (score of 0) 746 40.6 16,425 36.0 8,790 31.0 75,595 26.8
  Low-level drinker (score of 1–4) 964 52.6 26,602 58.4 13,794 48.7 160,353 56.8
 Positive screen
  Moderate alcohol misuse (score of 5–7) 85 4.6 1,799 4.0 3,302 11.6 28,885 10.2
  Severe alcohol misuse (score of 8–12) 41 2.2 749 1.6 2,475 8.7 17,542 6.2
a

OEF, Operation Enduring Freedom;OIF, Operation Iraqi Freedom. All patients were screened with the Alcohol Use Disorders Identification Test alcohol consumption questions (AUDIT-C) between January 1 and December 31, 2012. Proportion tests comparing patients with and without TBI were unadjusted. Except for marital status, all comparisons were significant (p<.01) for both women and men.

b

Determined by documentation of clinic stop codes indicating one or more visits to a VA addiction treatment clinic during the 30 days prior to and including the AUDIT-C screen date.

c

ICD-9-CM pain diagnoses:, back pain, 721.3X–721.9X, 722.2X, 722.30, 722.70, 722.80, 722.90, 722.32, 722.72, 722.82, 722.92, 722.33, 722.73, 722.83, 722.93, 724.XX, 737.1, 737.3, 738.4, 738.5, 739.2, 739.3, 739.4, 756.10, 756.11, 756.12, 756.13, 756.19, 805.4, 805.8, 839.2, 839.42, 846, 846.0, 847.1, 847.3, 847.2, and 847.9;neck pain, 721.0X, 721.1X, 722.0X, 722.31, 722.71, 722.81, 722.91, 723.XX, 839.0, 839.1, and 847.0; arthritis/joint pain, 710–720 and 725–740;and headache/migraine, 346.X, 307.81, 784.0, and 784.92

d

A score ≥1 indicates the presence of a comorbid general medical condition.

e

Six or more drinks on one occasion at least monthly

Compared with patients without TBI, those with TBI were younger (age <30) and more likely to have ≥50% VA disability and psychiatric disorders and pain diagnoses (p<.01 for all). Women and men with TBI were approximately twice as likely as those without TBI to have an alcohol use disorder (p<.01) or a drug use disorder (p<.01). Most patients screened negative for alcohol misuse (AUDIT-C ≤5), regardless of TBI status. Rates of abstinence (AUDIT-C score of 0) were higher among women and men with TBI compared with those without TBI (p<.01).

Prevalence of Alcohol Misuse and Heavy Episodic Drinking

The overall prevalence of alcohol misuse (AUDIT-C ≥5) among women with TBI was 6.8% (CI=5.8–8.1) compared with 5.6% (CI=5.4–5.8) among women without TBI (p<.05). Among men, rates of alcohol misuse for those with and without TBI were 20.3% (CI=19.9–20.8) and 16.4% (CI=16.3–16.6), respectively (p<.001).

Age-specific estimates of alcohol misuse among women did not differ between those with and without TBI in any age group (Table 2). Estimates of heavy episodic drinking were significantly higher only among women ages 30–39 with TBI compared with those without TBI (p<.05). Among men, age-specific estimates of alcohol misuse and heavy episodic drinking were greater among those with TBI compared with those without TBI in each age group (p<.001). The prevalence of heavy episodic drinking and alcohol misuse was highest among both women and men younger than 30 with TBI.

TABLE 2.

Age-specific prevalence of heavy episodic drinking and alcohol misuse among OEF/OIF patients in the Department of Veterans Affairs with and without traumatic brain injury (TBI)a

Women
(N=47,411)
Men
(N=310,736)
TBI
(N=1,836)
No TBI
(N=45,575)
TBI
(N=28,361)
No TBI
(N=282,375)
Variable and age % 95% CI % 95% CI p % 95% CI % 95% CI p
Heavy episodic drinkingb
 <30 10.1 7.7–13.1 8.0 7.5–8.5 ns 28.5 27.6–29.4 23.1 22.8–23.4 <.001
 30–39 8.9 6.5–12.4 5.9 5.5–6.4 <.05 22.3 21.3–23.4 17.7 17.4–18.0 <.001
 ≥40 6.9 4.3–10.8 5.0 4.6–5.6 ns 17.8 16.6–19.0 11.5 11.2–11.7 <.001
AUDIT-C ≥5 (moderate misuse)
 <30 8.3 6.5–10.5 7.2 6.8–7.6 ns 25.4 24.6–26.1 22.6 22.3–22.8 <.001
 30–39 6.0 4.4–8.1   5.1 4.8–5.5 ns 18.2 17.4–19.0 16.3 16.1–16.6 <.001
 ≥40 5.9 4.0–8.4   4.1 3.8–4.4 ns 13.7 12.9–14.6 10.4 10.2–10.6 <.001
AUDIT-C ≥8 (severe misuse)
 <30 3.2 2.1–4.7   2.1 1.9–2.4 ns 11.1 10.5–11.6 8.7 8.5–8.9 <.001
 30–39 1.9 1.1–3.2   1.5 1.3–1.7 ns 7.7 7.2–8.3 6.3 6.1–6.4 <.001
 ≥40 1.3 .6–2.9 1.2 1.0–1.4 ns 5.6 5.0–6.2 3.7 3.6–3.8 <.001
a

OEF, Operation Enduring Freedom;OIF, Operation Iraqi Freedom. All patients were screened with the Alcohol Use Disorders Identification Test alcohol consumption questions (AUDIT-C) between January 1 and December 31, 2012. Analytic samples for the AUDIT-C moderate and severe groups are not mutually exclusive.

b

Six or more drinks on one occasion

Prevalence of Documented BI and Addiction Treatment

Table 3 presents unadjusted rates of documented BI and addiction treatment attendance. Among women with moderate and severe alcohol misuse, the unadjusted prevalence of BI was between 73% and 80% for those with and without TBI and did not significantly differ between groups. Similarly, in adjusted analyses (data not shown), rates of BI did not significantly differ between women with and without TBI. Among men with moderate and severe alcohol misuse, the unadjusted prevalence of BI was between 78% and 80% for those with and without TBI and did not significantly differ between groups. Consistent with findings for women, adjusted rates of BI for men with TBI and men without TBI did not significantly differ (data not shown).

TABLE 3.

Unadjusted prevalence of documented brief intervention and addiction treatment among OEF/OIF patients in the Department of Veterans Affairs with and without traumatic brain injury (TBI) who screened positive for alcohol misusea

Women
(N=2,674)
Men
(N=52,204)
TBI
(N=126)
No TBI
(N=2,548)
TBI
(N=5,777)
No TBI
(N=46,427)
Variable % 95% CI % 95% CI p % 95% CI % 95% CI p
Documented brief intervention
 AUDIT-C ≥5 (moderate misuse) 80.2 73.2–87.1 76.4 74.8–78.1 ns 78.3 77.3–79.4 78.4 78.0–78.7 ns
 AUDIT-C ≥8 (severe misuse) 73.2 60.0–86.7 77.4 74.4–80.4 ns 80.1 78.5–81.7 79.2 78.6–79.8 ns
Documented addiction treatmentb
 AUDIT-C ≥5 (moderate misuse) 19.0 12.2–25.9 10.4 9.2–11.5 <.01 13.8 12.9–14.7 8.8 8.5–9.1 <.001
 AUDIT-C ≥8 (severe misuse) 36.6 21.8–51.3 21.1 18.2–24.0 <.05 20.0 18.4–21.6 15.4 14.9–15.9 <.001
a

OEF, Operation Enduring Freedom;OIF, Operation Iraqi Freedom. All patients were screened with the Alcohol Use Disorders Identification Test alcohol consumption questions (AUDIT-C) between January 1 and December 31, 2012. Analytic samples for the AUDIT-C moderate and severe groups are not mutually exclusive.

b

Determined by documentation of clinic stop codes indicating one or more visits to a Department of Veterans Affairs addiction treatment clinic in the 90 days following their AUDIT-C screen date.

Among both women and men, the highest rate of addiction treatment attendance was for those with TBI who screened positive for severe alcohol misuse; 36.6% of women and 20.0% of men had documented addiction treatment. Adjusted estimates of addiction treatment attendance were similar to unadjusted estimates, with higher rates of attendance observed for men and women with TBI compared with men (p<.001) and women (p<.05) without TBI (data not shown).

DISCUSSION

This study used national VA health care utilization data to compare the prevalence of alcohol misuse, documented BI, and VA addiction treatment among OEF/OIF veterans with and without TBI. Our results indicate that alcohol misuse was common among OEF/OIF veterans with TBI, especially men, with 20% of men and 7% of women with TBI screening positive for alcohol misuse. The risk of screening positive for alcohol misuse was highest among younger men and women (age <30). The prevalence of documented BI for OEF/OIF men and women who screened positive was high (70% – 80%), regardless of TBI status. However, for men and women who screened positive, rates of documented VA addiction treatment were higher among TBI patients compared with those without TBI. Among those with severe alcohol misuse and TBI, approximately one in five men and one in three women attended one or more addiction treatment visits in the 90 days after their alcohol screen.

Consistent with prior studies of OEF/OIF veterans (11,44), this study found disproportionately high rates of concomitant pain and psychiatric and substance use disorders among men and women with TBI compared with those without TBI. Because most TBI patients had a PTSD or pain diagnosis, the higher estimates of VA addiction treatment for those with TBI may reflect more severe psychiatric comorbidity and greater use of VA health care services more generally. Given the small number of OEF/OIF women with both TBI and alcohol misuse, results for this group should be interpreted with caution. Nonetheless, this is the first study to report rates of VA addiction treatment attendance after alcohol screening among OEF/OIF veterans with and without TBI. Future research should assess these patients’ engagement in VA addiction treatment through documentation of subsequent visits over a longer period.

Early recognition and management of alcohol misuse among young veterans with TBI are critical given research suggesting that alcohol use may impair neurologic recovery and magnify cognitive deficits among TBI patients (42). Although this study showed that alcohol use was common among OEF/OIF patients with TBI, it is important to note that 41% of women and 31% of men with TBI were abstinent from alcohol in the prior year. Although alcohol use may initially decline after injury, many people resume drinking at later periods (4,45). Examining changes in drinking in the context of TBI is beyond the scope of this study; however, the notably high rates of abstinence are encouraging. Studies are needed to evaluate how changes in drinking, including resolution of alcohol misuse, affect veterans’ recovery from TBI.

Although it is critical that veterans with TBI and alcohol misuse receive timely assessment and symptom management, their treatment needs are poorly understood. It is unclear whether alcohol screening and BI methods need to be adapted to the cognitive deficits associated with TBI (46,47). One study found that the effectiveness of an alcohol BI to reduce hazardous drinking among trauma patients was significantly lower among patients with TBI than among those without TBI (31). Because previous evaluations of alcohol screening and BI have systematically neglected patients with more severe TBI symptoms, further research is needed to assess TBI patients’ responsiveness to alcohol BI (48). Prospective studies are also needed to better understand short- and long-term health outcomes among patients with alcohol misuse and TBI and psychiatric comorbidity, including suicide risk. In the general population, the risk of death by suicide for individuals with both TBI and alcohol misuse has been reported as being four times higher than among individuals without these conditions (49,50). Information on TBI and alcohol misuse and their association with psychiatric comorbidity and suicide risk among OEF/OIF women and men could inform delivery of targeted screening and intervention strategies for this important group of veterans.

This study had some limitations. The study used alcohol data for screening and follow-up care for alcohol misuse documented in VA patients’ EMR. Prior research suggests that patients report higher rates of alcohol misuse on confidential surveys (9), and thus our results may underestimate the prevalence of alcohol misuse. Results of our analyses relied on documentation of BI without any assessment of the fidelity or quality of the intervention. Because medical facilities could modify HFs, we may not have identified all BI-related HFs; furthermore, some BIs may have been documented without HFs. In addition, this study relied on VA data, and thus any screening and follow-up interventions that occurred in non-VA care were not considered in the analyses. Nevertheless, this study describes alcohol screening and BI documented in patients’ EMRs and available to clinicians, and we expect most BIs were documented with electronic reminders that generate HFs to ensure that medical facilities met performance measure requirements. Our analyses did not take into account either the time between TBI and alcohol screening or levels of TBI severity and their association with alcohol misuse. Because this study only captured ICD-9 TBI diagnoses documented in the VA EMR within one year of the alcohol screen date, our results may have underidentified the prevalence of TBI.

CONCLUSIONS

Findings indicate that alcohol misuse and psychiatric problems were prevalent among OEF/OIF VA patients with TBI. The risk of alcohol misuse was found to be particularly high among younger women and men. It is encouraging that most patients who screened positive for alcohol misuse had documented BI, regardless of a TBI diagnosis. A significant minority of patients who screened positive did not have BI, and most patients with severe alcohol misuse did not attend VA addiction treatment in the 90 days following screening. Timely recognition and management of alcohol misuse among OEF/OIF veterans with TBI are critical to support reintegration and recovery and reduce the health burden of these conditions.

Supplementary Material

Suplemental Materials

Acknowledgments

The research reported here was supported by VA Polytrauma and Blast-Related Injury Quality Enhancement Research Initiative (QLP 56-007), Veterans Health Administration; by the VA Center of Excellence in Substance Abuse Treatment and Education; by the National Institute on Alcohol Abuse and Alcoholism (grant 1R21AA02894-01A1); and by VA Clinical Sciences R&D Career Development Award Program (IK2 CX000516). These organizations had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the manuscript for publication.

Footnotes

Dr. Saxon reports receiving royalty payment as a section editor for UpToDate. The other authors report no financial relationships with commercial interests.

Contributor Information

Joel Grossbard, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle

Carol A. Malte, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle

Gwen Lapham, Group Health Research Institute, Seattle

Kathleen Pagulayan, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle

Aaron P. Turner, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle Department of Rehabilitation Medicine, University of Washington, Seattle.

Anna D. Rubinsky, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Health Services Research and Development (HSR&D), Seattle.

Katharine A. Bradley, Group Health Research Institute, Seattle Department of Health Services, University of Washington, Seattle.

Andrew J. Saxon, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle.

Eric J. Hawkins, Department of Veterans Affairs (VA) Center of Excellence in Substance Abuse Treatment and Education, Puget Sound Health Care System, Seattle Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle.

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