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Background and aim Health administrators, policy makers, and educators have attempted to increase guideline adherence of migraine medications while reducing inappropriate use of opioid- and barbiturate-containing medications. We evaluated the burden of migraine and proportion of guideline-concordant care in a large, national health care system over time. Methods We conducted a time-series study using data from the Veterans Health Administration (VHA) electronic health record. Veterans with migraines were identified by ICD-9 code (346.X). Prescriptions and comorbid conditions were evaluated before and after migraine diagnosis. Chi-square tests and logistic regression were performed. Results A total of 57,064 veterans were diagnosed with migraine headache (5.3%), with women significantly more likely diagnosed (11.6% vs. 4.4%, p < 0.0001). The number of veterans diagnosed with migraine has significantly increased over the years. By 2012, triptans were prescribed to 43% of people with migraine, with no difference by gender. However, triptan prescriptions increased from 2004 to 2012 in men, but not women, veterans. Preventive medicines showed a significant increase with the year of migraine diagnosis, after controlling for age, sex, race, and for comorbidities treated with medications used for migraine prevention. Conclusions The burden of migraines is increasing within the VHA, with a corresponding increase in the delivery of guideline-concordant acute and prophylactic migraine-specific medication. [ABSTRACT FROM AUTHOR]

Background: Complementary and integrative health (CIH) approaches have been recommended in national and international clinical guidelines for chronic pain management. We set out to determine whether exposure to CIH approaches is associated with pain care quality (PCQ) in the Veterans Health Administration (VHA) primary care setting. Methods: We followed a cohort of 62,721 Veterans with newly diagnosed musculoskeletal disorders between October 2016 and September 2017 over 1-year. PCQ scores were derived from primary care progress notes using natural language processing. CIH exposure was defined as documentation of acupuncture, chiropractic or massage therapies by providers. Propensity scores (PSs) were used to match one control for each Veteran with CIH exposure. Generalized estimating equations were used to examine associations between CIH exposure and PCQ scores, accounting for potential selection and confounding bias. Results: CIH was documented for 14,114 (22.5%) Veterans over 16,015 primary care clinic visits during the follow-up period. The CIH exposure group and the 1:1 PS-matched control group achieved superior balance on all measured baseline covariates, with standardized differences ranging from 0.000 to 0.045. CIH exposure was associated with an adjusted rate ratio (aRR) of 1.147 (95% confidence interval [CI]: 1.142, 1.151) on PCQ total score (mean: 8.36). Sensitivity analyses using an alternative PCQ scoring algorithm (aRR: 1.155; 95% CI: 1.150-1.160) and redefining CIH exposure by chiropractic alone (aRR: 1.118; 95% CI: 1.110-1.126) derived consistent results. Discussion : Our data suggest that incorporating CIH approaches may reflect higher overall quality of care for patients with musculoskeletal pain seen in primary care settings, supporting VHA initiatives and the Declaration of Astana to build comprehensive, sustainable primary care capacity for pain management. Future investigation is warranted to better understand whether and to what degree the observed association may reflect the therapeutic benefits patients actually received or other factors such as empowering provider-patient education and communication about these approaches.

Prior research has demonstrated disparities in general medical care for patients with mental health conditions, but little is known about disparities in pain care. The objective of this retrospective cohort study was to determine whether mental health conditions are associated with indicators of pain care quality (PCQ) as documented by primary care clinicians in the Veterans Health Administration (VHA). We used natural language processing to analyze electronic health record data from a national sample of Veterans with moderate to severe musculoskeletal pain during primary care visits in the Fiscal Year 2017. Twelve PCQ indicators were annotated from clinician progress notes as present or absent; PCQ score was defined as the sum of these indicators. Generalized estimating equation Poisson models examined associations among mental health diagnosis categories and PCQ scores. The overall mean PCQ score across 135,408 person-visits was 8.4 (SD = 2.3). In the final adjusted model, post-traumatic stress disorder was associated with higher PCQ scores (RR = 1.006, 95%CI 1.002-1.010, P = .007). Depression, alcohol use disorder, other substance use disorder, schizophrenia, and bipolar disorder diagnoses were not associated with PCQ scores. Overall, results suggest that in this patient population, presence of a mental health condition is not associated with lower quality pain care. PERSPECTIVE: This study used a natural language processing approach to analyze medical records to determine whether mental health conditions are associated with indicators of pain care quality as documented by primary care clinicians. Findings suggest that presence of a diagnosed mental health condition is not associated with lower quality pain care., (Published by Elsevier Inc.)

Purpose: We describe pain intensity and opioid prescription jointly over time in Veterans with back pain to better understand their relationship., Methods: We performed a retrospective cohort study on electronic health record data from 117 126 Veterans (mean age 49.2 years) diagnosed with back pain in 2015. We used latent class growth analysis to jointly model pain intensity (0-10 scores) and opioid prescriptions over 2 years to identify classes of individuals similar in their trajectory of pain and opioid over time. Multivariable multinomial logit models assessed sociodemographic and clinical predictors of class membership., Results: We identified six trajectory classes: a "no pain/no opioid" class (22.2%), a "mild pain/no opioid" class (45.0%), a "moderate pain/no opioid" class (24.6%), a "moderate, decreasing pain/decreasing opioid" class (3.3%), a "moderate pain/high opioid" class (2.6%), and a "moderate, increasing pain/increasing opioid" class (2.3%). Among those in moderate pain classes, being white (vs. non-white) and older were associated with higher odds of being prescribed opioids. Veterans with mental health diagnoses had increased odds of being in the painful classes versus "no pain/no opioid" class., Conclusion: We found distinct patterns in the long-term joint course of pain and opioid prescription in Veterans with back pain. Understanding these patterns and associated predictors may help with development of targeted interventions for patients with back pain., (© 2022 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Objectives: Veterans, especially women, are three times more to experience sexual harassment and assault [military sexual trauma (MST)] than civilians. As trauma is associated with elevated cardiovascular risk, we investigated whether MST independently contributes to risk for incident hypertension and whether the effects are distinct among women., Methods: We assessed 788 161 post-9/11 Veterans ( Mage  = 32.14 years, 13% women) who were free of hypertension at baseline, using nationwide Veterans Health Administration data collected 2001-2017. Time-varying, multivariate Cox proportional hazard models were used to examine the independent contribution of MST to new cases of hypertension while sequentially adjusting for demographics, lifestyle and cardiovascular risk factors, including baseline blood pressure, and psychiatric disorders including posttraumatic stress disorder. We then tested for effect modification by sex., Results: Over 16 years [mean = 10.23 (SD: 3.69)], 35 284 Veterans screened positive for MST (67% were women). In the fully adjusted model, MST was associated with a 15% greater risk of hypertension [95% confidence interval (95% CI) 1.11-1.19]. In sex-specific analyses, men and women with a history of MST showed a 6% (95% CI, 1.00-1.12, P  = 0.042) and 20% greater risk of hypertension (95% CI, 1.15-1.26, P  < 0.001), respectively., Conclusion: In this large prospective cohort of young and middle-aged Veterans, MST was associated with incident hypertension after controlling for established risk factors, including trauma-related psychiatric disorders. Although MST is disproportionately experienced by women, and the negative cardiovascular impact of MST is demonstrated for both sexes, the association with hypertension may be greater for women. Subsequent research should determine if early MST assessment and treatment attenuates this risk., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: The purpose of this study was to determine whether patient characteristics were associated with face-to-face (F2F) and telehealth visits for those receiving chiropractic care for musculoskeletal conditions in the US Veterans Health Administration (VHA) during the COVID-19 pandemic., Methods: A retrospective cross-sectional analysis of all patients (veterans, dependents, and spouses) who received chiropractic care nationwide at the VHA from March 1, 2020, to February 28, 2021, was performed. Patients were allocated into 1 of the following 3 groups: only telehealth visits, only F2F visits, and combined F2F and telehealth visits. Patient characteristics included age, sex, race, ethnicity, marital status, and Charlson Comorbidity Index. Multinomial logistic regression estimated associations of these variables with visit type., Results: The total number of unique patients seen by chiropractors between March 2020 and February 2021 was 62 658. Key findings were that patients of non-White race and Hispanic or Latino ethnicity were more likely to attend telehealth-only visits (Black [odds ratio 1.20, 95% confidence interval {1.10-1.31}], other races [1.36 {1.16-1.59}], and Hispanic or Latino [1.35 {1.20-1.52}]) and combination telehealth and F2F care (Black [1.32 {1.25-1.40}], other races [1.37 {1.23-1.52}], and Hispanic or Latino [1.63 {1.51-1.76}]). Patients younger than 40 years of age were more likely to choose telehealth visits ([1.13 {1.02-1.26}], 66-75 years [1.17 {1.01-1.35}], and >75 years [1.26 {1.06-1.51}] vs those 40-55 years of age). Sex, visit frequency, and Charlson Comorbidity Index showed significant relationships as well, while marital status did not., Conclusion: During the COVID-19 pandemic, VHA patients with musculoskeletal complaints using chiropractic telehealth were more ethnically and racially diverse than those using F2F care alone., (Copyright © 2023. Published by Elsevier Inc.)

Background: There is an increasing burden of cardiovascular disease, including coronary artery disease (CAD) and heart failure (HF), among women Veterans. Clinical practice guidelines recommend multiple pharmacotherapies that can reduce risk of mortality and adverse cardiovascular outcomes., Objective: To determine if there are disparities in the use of guideline-directed medical therapy by gender among Veterans with incident CAD and HF., Design: Retrospective., Participants: Veterans (934,504; 87.8% men and 129,469; 12.2% women) returning from Operations Enduring Freedom, Iraqi Freedom, and New Dawn., Main Measures: Differences by gender in the prescription of Class 1, Level of Evidence A guideline-directed medical therapy among patients who developed incident CAD and HF at 30 days, 90 days, and 12 months after diagnosis. For CAD, medications included statins and antiplatelet therapy. For HF, medications included beta-blockers and renin-angiotensin-aldosterone system inhibitors., Key Results: Overall, women developed CAD and HF at a younger average age than men (mean 45.8 vs. 47.7 years, p<0.001; and 43.7 vs. 45.4 years, p<0.02, respectively). In the 12 months following a diagnosis of incident CAD, the odds of a woman receiving a prescription for at least one CAD drug was 0.85 (95% confidence interval [CI], 0.68-1.08) compared to men. In the 12 months following a diagnosis of incident HF, the odds of a woman receiving at least one HF medication was 0.54 (95% CI, 0.37-0.79) compared to men., Conclusions: Despite guideline recommendations, young women Veterans have approximately half the odds of being prescribed guideline-directed medical therapy within 1-year after a diagnosis of HF. These results highlight the need to develop targeted strategies to minimize gender disparities in CVD care to prevent adverse outcomes in this young and growing population., (© 2022. The Author(s).)

Objective: We describe the most frequently used musculoskeletal diagnoses in Veterans Health Administration care. We report the number of visits and patients associated with common musculoskeletal International Classification of Diseases (ICD)-10 codes and compare trends across primary and specialty care settings., Design: Secondary analysis of a longitudinal cohort study., Subjects: Veterans included in the Musculoskeletal Diagnosis Cohort with a musculoskeletal diagnosis from October 1, 2015, through September 30, 2017., Methods: We obtained counts and proportions of all musculoskeletal diagnosis codes used and the number of unique patients with each musculoskeletal diagnosis. Diagnosis use was compared between primary and specialty care settings., Results: Of more than 6,400 possible ICD-10 M-codes describing "Diseases of the Musculoskeletal System and Connective Tissue," 5,723 codes were used at least once. The most frequently used ICD-10 M-code was "Low Back Pain" (18.3%), followed by "Cervicalgia" (3.6%). Collectively, the 100 most frequently used codes accounted for 80% of M-coded visit diagnoses, and 95% of patients had at least one of these diagnoses. The most common diagnoses (spinal pain, joint pain, osteoarthritis) were used similarly in primary and specialty care settings., Conclusion: A diverse sample of all available musculoskeletal diagnosis codes were used; however, less than 2% of all possible codes accounted for 80% of the diagnoses used. This trend was consistent across primary and specialty care settings. The most frequently used diagnosis codes describe the types of musculoskeletal conditions, among a large pool of potential diagnoses, that prompt veterans to present to the Veterans Health Administration for musculoskeletal care., (Published by Oxford University Press on behalf of the American Academy of Pain Medicine. This work is written by US Government employees and is in the public domain in the US.)

Background: Pain and heart failure are highly comorbid., Objectives: The purpose of this study was to examine differences in pain intensity and pain medication prescriptions among Veterans with comorbid heart failure and pain and those with pain alone., Methods: The Musculoskeletal Disorder (MSD) cohort includes 5,237,763 Veteran diagnosed with a musculoskeletal disorder between 2000 and 2013. Veterans with comorbid heart failure and back pain (heart failure+, n = 3,950, M age  = 70.5 ± 12) were compared to those with back pain alone (heart failure-, n = 165,290, M age  = 52.1 ± 17.5)., Results: In multivariate adjusted models, heart failure+ was associated with a higher likelihood of moderate/severe pain (OR = 1.12; 95% CI 1.04-1.21), a higher likelihood of opioids (OR = 1.63; CI = 1.52-1.75) and/or gabapentin prescriptions (OR = 1.18; CI = 1.02-1.36), but a lower likelihood of NSAID prescriptions (OR = 0.57; CI = 0.50-0.66)., Conclusions: Comorbid cardiovascular and pain conditions present a challenge in clinical management that warrants further study., Competing Interests: Declaration of Competing Interest The authors declare they have no conflict of interest., (Published by Elsevier Inc.)

Background: The extensive research on falls and fragility fractures among persons living with HIV (PWH) has not explored the association between serious falls and subsequent fragility fracture. We explored this association., Setting: Veterans Aging Cohort Study., Methods: This analysis included 304,951 6-month person- intervals over a 15-year period (2001-2015) contributed by 26,373 PWH who were 50+ years of age (mean age 55 years) and taking antiretroviral therapy (ART). Serious falls (those falls significant enough to result in a visit to a health care provider) were identified by the external cause of injury codes and a machine learning algorithm applied to radiology reports. Fragility fractures were identified using ICD9 codes and included hip fracture, vertebral fractures, and upper arm fracture and were modeled with multivariable logistic regression with generalized estimating equations., Results: After adjustment, serious falls in the previous year were associated with increased risk of fragility fracture [odds ratio (OR) 2.10; 95% confidence interval (CI): 1.83 to 2.41]. The use of integrase inhibitors was the only ART risk factor (OR 1.17; 95% CI: 1.03 to 1.33). Other risk factors included the diagnosis of alcohol use disorder (OR 1.49; 95% CI: 1.31 to 1.70) and having a prescription for an opioid in the previous 6 months (OR 1.40; 95% CI: 1.27 to 1.53)., Conclusions: Serious falls within the past year are strongly associated with fragility fractures among PWH on ART-largely a middle-aged population-much as they are among older adults in the general population., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Sexual trauma is a suicide risk factor. While military sexual trauma (MST) is frequently associated with suicidal ideation (SI) in women and men veterans who served in recent conflicts, less is known about MST's relationship to SI in veterans who have no documented mental health concerns. Of the 1.1 million post-9/11 veterans enrolled in the Veterans Healthcare Administration (VHA) we examined 41,658 (12.3% women, 87.7% men) without evidence of mental health diagnosis or treatment and who were screened for MST and SI using the standard VHA clinical reminders between 2008 and 2013. Relative risk estimates were generated using separate models for women and men. MST was reported by 27.9% of women and 2.9% of men; SI by 14.7% and 16.5%, respectively. The adjusted relative risk of MST on SI was 1.65 (95% CI 1.35, 2.00) in women, and 1.49 (95% CI 1.26, 1.75) in men. In this sample of veterans without evidence of mental health diagnosis or treatment, MST was associated with a high risk of SI in both genders. Positive MST screening should prompt SI screening and risk management if indicated, and further study of barriers to mental healthcare among MST survivors at risk for suicide is warranted., (Copyright © 2021. Published by Elsevier B.V.)

Background/objectives: Due to high rates of multimorbidity, polypharmacy, and hazardous alcohol and opioid use, middle-aged Veterans are at risk for serious falls (those prompting a visit with a healthcare provider), posing significant risk to their forthcoming geriatric health and quality of life. We developed and validated a predictive model of the 6-month risk of serious falls among middle-aged Veterans., Design: Cohort study., Setting: Veterans Health Administration (VA)., Participants: Veterans, aged 45 to 65 years, who presented for care within the VA between 2012 and 2015 (N = 275,940)., Exposures: The exposures of primary interest were substance use (including alcohol and prescription opioid use), multimorbidity, and polypharmacy. Hazardous alcohol use was defined as an Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) score of 3 or greater for women and 4 or greater for men. We used International Classification of Diseases, Ninth Revision (ICD-9), codes to identify alcohol and illicit substance use disorders and identified prescription opioid use from pharmacy fill-refill data. We included counts of chronic medications and of physical and mental health comorbidities., Measurements: We identified serious falls using external cause of injury codes and a machine-learning algorithm that identified serious falls in radiology reports. We used multivariable logistic regression with general estimating equations to calculate risk. We used an integrated predictiveness curve to identify intervention thresholds., Results: Most of our sample (54%) was aged 60 years or younger. Duration of follow-up was up to 4 years. Veterans who fell were more likely to be female (11% vs 7%) and White (72% vs 68%). They experienced 43,641 serious falls during follow-up. We identified 16 key predictors of serious falls and five interaction terms. Model performance was enhanced by addition of opioid use, as evidenced by overall category-free net reclassification improvement of 0.32 (P < .001). Discrimination (C-statistic = 0.76) and calibration were excellent for both development and validation data sets., Conclusion: We developed and internally validated a model to predict 6-month risk of serious falls among middle-aged Veterans with excellent discrimination and calibration., (© 2020 The American Geriatrics Society.)

Background: Military service confers an increased risk for musculoskeletal (MSK) injury among women and men Veterans., Objective: The objective of this study was to determine the prevalence of MSK conditions at first visit to Veterans Affairs (VA), and the incidence rates of new MSK conditions in women and men Veterans with and without a baseline MSK condition., Design: A cohort study including Veterans whose end of last deployment was between October 1, 2001 and October 1, 2015., Subjects: A total of 765,465 Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn Veterans., Main Outcome Measures: Prevalent and incident MSK conditions identified through the International Classification of Diseases, ninth Revision, Clinical Modification diagnostic codes., Results: Twenty-six percent of women and 29% of men present to the VA with a MSK condition. In those without an MSK diagnosis at baseline, the unadjusted rate of developing at least 1 MSK condition was 168 and 180 per 1000 person-year [hazard ratio (HR)=0.94; 95% confidence interval (CI)=0.92-0.95] in women and men. Women were more likely to develop newly diagnosed MSK conditions of the hip (HR=1.9; 95% CI=1.83-1.98) or the ankle/foot (HR=1.17; 95% CI=1.15-1.20) and less likely to develop MSK conditions of the upper extremity (HR=0.75; 95% CI=0.73-0.78), knee (HR=0.87; 95% CI=0.86-0.89), and spine (HR=0.94; 95% CI=0.93-0.96). In those with prevalent MSK conditions at baseline, the rate of developing a second MSK condition was higher in women than men (151 and 133/1000 person-year; HR=1.13; 95% CI=1.11-1.15)., Conclusions: A high proportion of Veterans present to the VA with MSK conditions. Women are less likely to develop conditions related to the upper extremities, spine or knee, and more likely to have conditions of the hip or ankle/foot.

Background: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with lower healthcare costs and improvements in pain status in different clinical populations, including veterans. Little is currently known about predicting healthcare service utilization in the domain of conservative interventions for spinal pain conditions, including the frequency of use of chiropractic services. The purpose of this retrospective cohort study was to explore the use of supervised machine learning approaches to predicting one-year chiropractic service utilization by veterans receiving VA chiropractic care., Methods: We included 19,946 veterans who entered the Musculoskeletal Diagnosis Cohort between October 1, 2003 and September 30, 2013 and utilized VA chiropractic services within one year of cohort entry. The primary outcome was one-year chiropractic service utilization following index chiropractic visit, split into quartiles represented by the following classes: 1 visit, 2 to 3 visits, 4 to 6 visits, and 7 or greater visits. We compared the performance of four multiclass classification algorithms (gradient boosted classifier, stochastic gradient descent classifier, support vector classifier, and artificial neural network) in predicting visit quartile using 158 sociodemographic and clinical features., Results: The selected algorithms demonstrated poor prediction capabilities. Subset accuracy was 42.1% for the gradient boosted classifier, 38.6% for the stochastic gradient descent classifier, 41.4% for the support vector classifier, and 40.3% for the artificial neural network. The micro-averaged area under the precision-recall curve for each one-versus-rest classifier was 0.43 for the gradient boosted classifier, 0.38 for the stochastic gradient descent classifier, 0.43 for the support vector classifier, and 0.42 for the artificial neural network. Performance of each model yielded only a small positive shift in prediction probability (approximately 15%) compared to naïve classification., Conclusions: Using supervised machine learning to predict chiropractic service utilization remains challenging, with only a small shift in predictive probability over naïve classification and limited clinical utility. Future work should examine mechanisms to improve model performance.

Co-morbidity between medical and psychiatric conditions is commonly considered between individual pairs of conditions. However, an important alternative is to consider all conditions as part of a co-morbidity network, which encompasses all interactions between patients and a healthcare system. Analysis of co-morbidity networks could detect and quantify general tendencies not observed by smaller-scale studies. Here, we investigate the co-morbidity network derived from longitudinal healthcare records from approximately 1 million United States military veterans, a population disproportionately impacted by psychiatric morbidity and psychological trauma. Network analyses revealed marked and heterogenous patterns of co-morbidity, including a multi-scale community structure composed of groups of commonly co-morbid conditions. Psychiatric conditions including posttraumatic stress disorder were strong predictors of future medical morbidity. Neurological conditions and conditions associated with chronic pain were particularly highly co-morbid with psychiatric conditions. Across conditions, the degree of co-morbidity was positively associated with mortality. Co-morbidity was modified by biological sex and could be used to predict future diagnostic status, with out-of-sample prediction accuracy of 90-92%. Understanding complex patterns of disease co-morbidity has the potential to lead to improved designs of systems of care and the development of targeted interventions that consider the broader context of mental and physical health., Competing Interests: We declare we have no competing interests., (© 2020 The Author(s).)

Background: Medication classes, polypharmacy, and hazardous alcohol and illicit substance abuse may exhibit stronger associations with serious falls among persons living with HIV (PLWH) than with uninfected comparators. We investigated whether these associations differed by HIV status., Setting: Veterans Aging Cohort Study., Methods: We used a nested case-control design. Cases (N = 13,530) were those who fell. Falls were identified by external cause of injury codes and a machine-learning algorithm applied to radiology reports. Cases were matched to controls (N = 67,060) by age, race, sex, HIV status, duration of observation, and baseline date. Risk factors included medication classes, count of unique non-antiretroviral therapy (non-ART) medications, and hazardous alcohol and illicit substance use. We used unconditional logistic regression to evaluate associations., Results: Among PLWH, benzodiazepines [odds ratio (OR) 1.24; 95% confidence interval (CI) 1.08 to 1.40] and muscle relaxants (OR 1.29; 95% CI: 1.08 to 1.46) were associated with serious falls but not among uninfected (P > 0.05). In both groups, key risk factors included non-ART medications (per 5 medications) (OR 1.20, 95% CI: 1.17 to 1.23), illicit substance use/abuse (OR 1.44; 95% CI: 1.34 to 1.55), hazardous alcohol use (OR 1.30; 95% CI: 1.23 to 1.37), and an opioid prescription (OR 1.35; 95% CI: 1.29 to 1.41)., Conclusion: Benzodiazepines and muscle relaxants were associated with serious falls among PLWH. Non-ART medication count, hazardous alcohol and illicit substance use, and opioid prescriptions were associated with serious falls in both groups. Prevention of serious falls should focus on reducing specific classes and absolute number of medications and both alcohol and illicit substance use.

Objective: To examine factors associated with HIV screening among women veterans receiving health care in the Department of Veterans Affairs., Materials and Methods: Cross-sectional study of women veterans receiving Veterans Affairs care between 2001 and 2014 derived from the Women Veteran's Cohort Study. Descriptive and bivariate statistics were calculated comparing patients with and without an HIV screen. Generalized estimating equations were conducted to estimate the odds of HIV screening among women screened for military sexual trauma (MST) and the subset with a positive MST screen. Multivariable analyses were adjusted for demographic characteristics, mental health diagnoses, pregnancy, HIV risk factors, and facility level clustering., Results: Among the 113,796 women veterans in the sample, 84.3% were screened for MST and 13.2% were screened for HIV. Women screened for MST were over twice as likely to be tested for HIV (odds ratio, 2.8; 95% confidence interval, 2.2-3.5). A history of MST was inversely associated with HIV screening (odds ratio, 0.9; 95% confidence interval, 0.8-0.9)., Conclusions: Women veterans screened for sexual trauma received more comprehensive preventive health care in the form of increased HIV screening.

Objectives: To examine the treatment effectiveness of complementary and integrative health approaches (CIH) on chronic pain using Propensity Score (PS) methods., Design, Settings, and Participants: A retrospective cohort of 309,277 veterans with chronic musculoskeletal pain assessed over three years after initial diagnosis., Methods: CIH exposure was defined as one or more clinical visits for massage, acupuncture, or chiropractic care. The treatment effect of CIH on self-rated pain intensity was examined using a longitudinal model. PS-matching and inverse probability of treatment weighting (IPTW) were used to account for potential selection and confounding biases., Results: At baseline, veterans with (7,621) and without (301,656) CIH exposure differed significantly in 21 out of 35 covariates. During the follow-up period, on average CIH recipients had 0.83 (95% confidence interval [CI] = 0.77 to 0.89) points higher pain intensity ratings (range = 0-10) than nonrecipients. This apparent unfavorable effect size was reduced to 0.37 (95% CI = 0.28 to 0.45) after PS matching, 0.36 (95% CI = 0.29 to 0.44) with IPTW on the treated (IPTW-T) weighting, and diminished to null when integrating IPTW-T with PS matching (0.004, 95% CI = -0.09 to 0.10). An alternative IPTW model and conventional covariate adjustment appeared least powerful in terms of potential bias reduction. Sensitivity analyses restricting the follow-up period to one year after CIH initiation derived consistent results., Conclusions: PS-based causal methods successfully eliminated baseline difference between exposure groups in all measured covariates, yet they did not detect a significant difference in the self-rated pain intensity outcome between veterans who received CIHs and those who did not during the follow-up period.

Objective: Chronic pain is a significant problem in patients living with hepatitis C virus (HCV). Tobacco smoking is an independent risk factor for high pain intensity among veterans. This study aims to examine the independent associations with smoking and HCV on pain intensity, as well as the interaction of smoking and HCV on the association with pain intensity., Design/particpants: Cross-sectional analysis of a cohort study of veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who had at least one visit to a Veterans Health Administration (VHA) primary care clinic between 2001 and 2014., Methods: HCV was identified using ICD-9 codes from electronic medical records (EMRs). Pain intensity, reported on a 0-10 numeric rating scale, was categorized as none/mild (0-3) and moderate/severe (4-10)., Results: Among 654,841 OEF/OIF/OND veterans (median age [interquartile range] = 26 [23-36] years), 2,942 (0.4%) were diagnosed with HCV. Overall, moderate/severe pain intensity was reported in 36% of veterans, and 37% were current smokers. The adjusted odds of reporting moderate/severe pain intensity were 1.23 times higher (95% confidence interval [CI] = 1.14-1.33) for those with HCV and 1.26 times higher (95% CI = 1.25-1.28) for current smokers. In the interaction model, there was a significant Smoking Status × HCV interaction (P = 0.03). Among veterans with HCV, smoking had a significantly larger association with moderate/severe pain (adjusted odds ratio [OR] = 1.50, P < 0.001) than among veterans without HCV (adjusted OR = 1.26, P < 0.001)., Conclusions: We found that current smoking is more strongly linked to pain intensity among veterans with HCV. Further investigations are needed to explore the impact of smoking status on pain and to promote smoking cessation and pain management in veterans with HCV.

Background: Opioid misuse is a significant public health problem. As initial exposures to opioids are frequently encountered through the management of postoperative pain, we examined patterns of opioid prescribing following surgical treatment for nephrolithiasis., Methods: We identified patients with nephrolithiasis in the national Women Veterans Cohort Study (WVCS) who were treated surgically by diagnosis and procedure codes. Using standard conversion factors, we calculated the morphine milligram equivalent (MME) dose prescribed. We used descriptive statistics to characterize opioid prescription across management strategy and multivariable regression to examine clinical and demographic characteristics associated with dispensed dose., Results: We identified 22,609 patients diagnosed with kidney stones during 1999-2014, 1,976 of whom were treated surgically and 1,582 (80.1%) of whom received an opioid prescription. The median age was 39 years, and 1,366 (90%) were male; 1,314 (86.3%) were treated with ureteroscopy, 172 (11.3%) with extracorporeal shockwave lithotripsy, and 36 (2.4%) with percutaneous nephrolithotomy. The median number of days supplied per opioid prescription (interquartile range) was 10 (5-14), and patients were dispensed a median of 180 (140-300) MME. A total of 6.4% of patients received ≥50 MME/d. On multivariable analysis, comorbid diagnosis of post-traumatic stress disorder (PTSD) was associated with higher total dispensed dose, whereas surgery type was not., Conclusions: We observed substantial variation in opioid prescribing following surgical treatment of nephrolithiasis. Although type of surgical intervention did not impact opioid dosing, patients with a diagnosis of PTSD were more likely to receive higher doses. This work can inform efforts to improve the safety and efficacy of postoperative opioid prescribing.

Background: Veterans are disproportionately affected by overweight/obesity and growing evidence suggests that post-deployment is a critical period of accelerated weight gain., Objective: We explored the relationship between posttraumatic stress disorder (PTSD) diagnosis, gender, and post-deployment weight trajectories among U.S. Operations Iraqi Freedom, Enduring Freedom, and New Dawn veterans., Design: We used Veterans Affairs electronic health record data from 248,089 veterans (87% men) who, after their last deployment, had at least one medical visit between October 2001 and January 2009 and more than one BMI recorded through September 2010. We analyzed repeated BMI measurements using linear mixed models, with demographics, PTSD and other relevant psychiatric diagnoses as predictors., Results: At the first recorded BMI, veterans' median age was 29, and 59% of women and 77% of men were overweight/obese. They had a median of 6 BMI measurements during a median follow-up of 2.4 years. Controlling for potential confounders, women with a PTSD diagnosis had a yearly BMI growth rate of 0.11 kg/m 2 (95% CI 0.09 to 0.13, p < 0.001) higher than women without PTSD. For men, the corresponding PTSD effect was also significant, but slightly lower: 0.07 kg/m 2 ((95% CI 0.05 to 0.09, p < 0.001); women-men difference: 0.03 (95% CI 0.01 to 0.06) kg/m 2 , p = 0.006)., Conclusions: The post-deployment period is critical for weight gain, particularly for veterans diagnosed with PTSD and women veterans with PTSD. Efforts are needed to engage post-deployment veterans in weight management services, and to determine whether tailored recruitment/treatment interventions will reduce disparities for veterans with PTSD., (Published by Elsevier Ltd.)

Objective: Cigarette smokers seeking treatment for chronic pain have higher rates of opioid use than nonsmokers. This study aims to examine whether veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who smoke are more likely to receive an opioid prescription than nonsmokers, adjusting for current pain intensity., Design: Cross-sectional analysis of a cohort study of OEF/OIF/OND veterans who had at least one visit to a Veterans Health Administration primary care clinic between 2001 and 2012., Methods: Smoking status was defined as current, former, and never. Current pain intensity (+/- 30 days of smoking status), based on the 0-10 numeric rating scale, was categorized as no pain/mild (0-3) and moderate/severe (4-10). Opioid receipt was defined as at least one prescription filled +/- 30 days of smoking status., Results: We identified 406,954 OEF/OIF/OND veterans: The mean age was 30 years, 12.5% were women (n = 50,988), 66.3% reported no pain or mild pain intensity, 33.7% reported moderate or severe pain intensity, 37.2% were current smokers, and 16% were former smokers. Overall, 33,960 (8.3%) veterans received one or more opioid prescription. Current smoking (odds ratio [OR] = 1.56, 95% confidence interval [CI] = 1.52-1.61) and former smoking (OR = 1.27, 95% CI = 1.22-1.32) were associated with a higher likelihood of receipt of an opioid prescription compared with never smoking, after controlling for other covariates., Conclusions: We found an association between smoking status and receipt of an opioid prescription. The effect was stronger for current smokers than former smokers, highlighting the need to determine whether smoking cessation is associated with a reduction in opioid use among veterans., (Published by Oxford University Press on behalf of American Academy of Pain Medicine 2016. This work is written by US Government employees and is in the public domain in the US.)

Pain intensity is often measured in clinical and research settings using the 0 to 10 numeric rating scale (NRS). NRS scores are recorded as discrete values, and in some samples they may display a high proportion of zeroes and a right-skewed distribution. Despite this, statistical methods for normally distributed data are frequently used in the analysis of NRS data. We present results from an observational cross-sectional study examining the association of NRS scores with patient characteristics using data collected from a large cohort of 18,935 veterans in Department of Veterans Affairs care diagnosed with a potentially painful musculoskeletal disorder. The mean (variance) NRS pain was 3.0 (7.5), and 34% of patients reported no pain (NRS = 0). We compared the following statistical models for analyzing NRS scores: linear regression, generalized linear models (Poisson and negative binomial), zero-inflated and hurdle models for data with an excess of zeroes, and a cumulative logit model for ordinal data. We examined model fit, interpretability of results, and whether conclusions about the predictor effects changed across models. In this study, models that accommodate zero inflation provided a better fit than the other models. These models should be considered for the analysis of NRS data with a large proportion of zeroes., Perspective: We examined and analyzed pain data from a large cohort of veterans with musculoskeletal disorders. We found that many reported no current pain on the NRS on the diagnosis date. We present several alternative statistical methods for the analysis of pain intensity data with a large proportion of zeroes., (Published by Elsevier Inc.)

Objective: Posttraumatic stress disorder (PTSD) increases cardiovascular disease and cardiovascular mortality risk. Neither the prospective relationship of PTSD to incident hypertension risk nor the effect of PTSD treatment on hypertension risk has been established., Methods: Data from a nationally representative sample of 194,319 veterans were drawn from the Veterans Administration (VA) roster of United States service men and women. This included veterans whose end of last deployment was from September 2001 to July 2010 and whose first VA medical visit was from October 1, 2001 to January 1, 2009. Incident hypertension was modeled as 3 events: (1) a new diagnosis of hypertension and/or (2) a new prescription for antihypertensive medication, and/or (3) a clinic blood pressure reading in the hypertensive range (≥140/90 mm Hg, systolic/diastolic). Posttraumatic stress disorder diagnosis was the main predictor. Posttraumatic stress disorder treatment was defined as (1) at least 8 individual psychotherapy sessions of 50 minutes or longer during any consecutive 6 months and/or (2) a prescription for selective serotonin reuptake inhibitor medication., Results: Over a median 2.4-year follow-up, the incident hypertension risk independently associated with PTSD ranged from hazard ratio (HR), 1.12 (95% confidence interval [CI], 1.08-1.17; p < .0001) to HR, 1.30 (95% CI, 1.26-1.34; p < .0001). The interaction of PTSD and treatment revealed that treatment reduced the PTSD-associated hypertension risk (e.g., from HR, 1.44 [95% CI, 1.38-1.50; p < .0001] for those untreated, to HR, 1.20 [95% CI, 1.15-1.25; p < .0001] for those treated)., Conclusions: These results indicate that reducing the long-term health impact of PTSD and the associated costs may require very early surveillance and treatment., Competing Interests: None.

Objectives: To evaluate gender, age, and race/ethnicity as predictors of incident mental health diagnoses among Operations Iraqi Freedom, Enduring Freedom, and New Dawn veterans., Methods: We used US Veterans Health Administration (VHA) electronic health records from 2001 to 2014 to examine incidence rates and sociodemographic risk factors for mental health diagnoses among 888 142 veterans., Results: Posttraumatic stress disorder (PTSD) was the most frequently diagnosed mental health condition across gender and age groups. Incidence rates for all mental health diagnoses were highest at ages 18 to 29 years and declined thereafter, with the exceptions of major depressive disorder (MDD) in both genders, and PTSD among women. Risk of incident bipolar disorder and MDD diagnoses were greater among women; risk of incident schizophrenia, and alcohol- and drug-use disorders diagnoses were greater in men. Compared with Whites, risk incident PTSD, MDD, and alcohol-use disorder diagnoses were lower at ages 18 to 29 years and higher at ages 45 to 64 years for both Hispanics and African Americans., Conclusions: Differentiating high-risk demographic and gender groups can lead to improved diagnosis and treatment of mental health diagnoses among veterans and other high-risk groups.

Objective: There is a dearth of research examining eating behaviors, such as binge eating, among male and female veterans. The present study evaluated the prevalence of self-reported eating problems as well as associations with body mass index and psychiatric disorders among male and female Iraq and Afghanistan veterans., Methods: Participants were 298 male and 364 female veterans (M = 33.3 ± 10.6 years old) from the Women Veterans Cohort Study, a study of male and female veterans enrolled for Veterans Affairs care in New England or Indiana. Veterans self-reported on emotion- and stress-related eating, eating disorder diagnoses, and disordered eating behaviors. Diagnoses of post-traumatic stress disorder, major depressive disorder, and alcohol abuse were obtained from administrative records., Results: Female veterans reported higher rates of eating problems than did their male counterparts. Women and men who engage in disordered eating had higher rates of post-traumatic stress disorder and major depressive disorder, and women who engage in disordered eating had greater rates of alcohol abuse than did female veterans without eating disordered behaviors., Conclusions: Disordered eating may be a significant issue among Iraq and Afghanistan veterans, and veterans with eating problems are more likely to have comorbid mental health conditions that further increase their health risks., (Reprint & Copyright © 2016 Association of Military Surgeons of the U.S.)

Background: Healthcare mobility, defined as healthcare utilization in more than one distinct healthcare system, may have detrimental effects on outcomes of care. We characterized healthcare mobility and associated characteristics among a national sample of Veterans., Methods: Using the Veterans Health Administration Electronic Health Record, we conducted a retrospective cohort study to quantify healthcare mobility within a four year period. We examined the association between sociodemographic and clinical characteristics and healthcare mobility, and characterized possible temporal and geographic patterns of healthcare mobility., Results: Approximately nine percent of the sample were healthcare mobile. Younger Veterans, divorced or separated Veterans, and those with hepatitis C virus and psychiatric disorders were more likely to be healthcare mobile. We demonstrated two possible patterns of healthcare mobility, related to specialty care and lifestyle, in which Veterans repeatedly utilized two different healthcare systems., Conclusions: Healthcare mobility is associated with young age, marital status changes, and also diseases requiring intensive management. This type of mobility may affect disease prevention and management and has implications for healthcare systems that seek to improve population health.

Objective: Pain and smoking are highly prevalent among Veterans. Studies in non-Veteran populations have reported higher pain intensity among current smokers compared with nonsmokers and former smokers. We examined the association of smoking status with reported pain intensity among Veterans of Operations Enduring Freedom, Iraqi Freedom, and New Dawn (OEF/OIF/OND)., Design: The sample consisted of OEF/OIF/OND Veterans who had at least one visit to Veterans Affairs (2001-2012) with information in the electronic medical record for concurrent smoking status and pain intensity. The primary outcome measure was current pain intensity, categorized as none to mild (0-3); moderate (4-6); or severe (≥7); based on a self-reported 11-point pain numerical rating scale. Multivariable logistic regression analyses were used to assess the association of current smoking status with moderate to severe (≥4) pain intensity, controlling for potential confounders., Results: Overall, 50,988 women and 355,966 men Veterans were examined. The sample mean age was 30 years; 66.3% reported none to mild pain; 19.8% moderate pain; and 13.9% severe pain; 37% were current smokers and 16% former smokers. Results indicated that current smoking [odds ratio (OR) = 1.29 (95% confidence intervals (CI) = 1.27-1.31)] and former smoking [OR = 1.02 (95% CI = 1.01-1.05)] were associated with moderate to severe pain intensity, controlling for age, service-connected disability, gender, obesity, substance abuse, mood disorders, and Post Traumatic Stress Disorder., Conclusions: We found an association between current smoking and pain intensity. This effect was attenuated in former smokers. Our study highlights the importance of understanding reported pain intensity in OEF/OIF/OND Veterans who continue to smoke., (Wiley Periodicals, Inc.)

Background: Recurrent chest pain is common in patients with and without coronary artery disease. The prevalence and burden of these symptoms on healthcare is unknown., Objectives: To compare chest pain return visits (recidivism) in patients with unexplained chest pain (UCP) against reference group of patients with coronary artery disease (CAD) and estimate the annual cost of recurrent chest pain., Methods: In a retrospective cohort study, a Veteran Affairs (VA) administrative and clinical database of Veterans who were deployed to or served in support of the wars in Iraq or Afghanistan was queried for first disease specific ICD-9 code to form two cohorts (UCP or CAD). Patients were followed between 09/2001-09/2010 for the first and cumulative return visits for UCP or cardiac pain (ACS or angina) to clinic, emergency department or admission; or for all-cause death. Time to return was analyzed using Cox regression and negative binomial models and adjusted for age, gender, race, marital status, and risk factors (hypertension, hyperlipidemia, diabetes, smoking and obesity). Direct total costs included inpatient, outpatient and fee basis (non-VA) costs., Results: Of 749,036 patients, 20,521 had UCP and 5303 had CAD. UCP patients were young and had a lower burden of risk factors than CAD cohort (p < .01). Yet, these patients were likely to return earlier with any chest pain (adjusted Hazard Ratio [aHR] = 1.76; 95 % CI 1.65-1.88); or unexplained chest pain than CAD patients (aHR: 1.89; 95 % CI 1.77-2.01). UCP patients were also likely to return more frequently for any chest pain (aRate Ratio = 1.54; 95 % CI 1.43-1.64) or UCP than CAD patients (aRR =2.63; 95 % CI 2.43-2.87). Per 100 patients, the 1-year cumulative returns were 37 visits for reference group and 45 visits for UCP cohort. The annual costs for chest pain averaged $69,009 for CAD and $57,336 for UCP patients (log geometric mean ratio=1.25; 95 % CI 1.18-1.32)., Conclusion: Chest pain recidivism is common and costly even in patients without known CAD. We need evidence-based guidelines for these patients to minimize returns.

Importance: Patients with sexually transmitted infection (STI) diagnosis should be tested for human immunodeficiency virus (HIV), regardless of previous HIV test results., Objective: Estimate HIV testing rates among recent service Veterans with an STI diagnosis and variation in testing rates by patient characteristics., Design, Setting, and Participants: The sample comprised 243,843 Veterans who initiated Veterans Health Administration (VHA) services within 1 year after military separation. Participants were followed for 2 years to determine STI diagnoses and HIV testing rates. We used relative risks regression to examine variation in testing rates., Main Outcomes and Measures: We used VHA administrative data to identify STI diagnoses and HIV testing and results., Results: Veterans with an STI diagnosis (n = 1815) had higher HIV testing rates than those without (34.9% vs. 7.3%, P<0.0001), but were not more likely to have a positive test result (1.1% vs. 1.4%, P = 0.53). Among Veterans with an STI diagnosis, testing increased from 25% to 45% over the observation period; older age was associated with a lower rate of testing, whereas race and ethnicity, multiple deployments, posttraumatic stress disorder, and substance abuse disorders were associated with a higher rate., Conclusions and Relevance: Since VHA implemented routine HIV testing, overall rates of testing have increased. However, among Veterans at significant risk for HIV because of an STI diagnosis, only 45% had an HIV test in the most recent year of observation. Other patient characteristics such as alcohol and drug abuse were associated with being tested for HIV. Providers should be reminded that an STI is a sufficient reason to test for HIV.

Background: Despite American Heart Association recommendations of diet/lifestyle modification and statin therapy to achieve low-density lipoprotein cholesterol (LDL) control, women are less likely than men to be screened and achieve treatment goals. This study determined whether the provider and patient response to electronic medical record (EMR) notification of an elevated LDL varied by patient sex in veterans., Methods: Provider responses to EMR clinical reminders for an elevated LDL (≥100 mg/dL) were assessed in men (n = 40,738) and women (n = 1,025) veterans with ischemic heart disease or diabetes between October 2008 and September 2009. Responses were classified into four types: 1) Whether the patient refused medication, 2) the provider ordered or adjusted medication, 3) treatment was deferred/medications were not changed, or 4) medications were contraindicated. Logistic regression with generalized estimating equations was used to compare clinical reminder responses between men and women patients., Findings: Providers were less likely to order or adjust medications for women (adjusted odds ratio [OR], 0.75; 95% CI, 0.63, 0.88) and women were more likely than men to refuse medication (adjusted OR, 1.71; 95% CI, 1.34, 2.17). These associations were not modified by degree of LDL elevation or use of lipid-lowering medications., Conclusion: These results indicate that poorer cholesterol control in at risk women is likely a consequence of both provider and patient factors., (Published by Elsevier Inc.)

Objective: Chronic pain is a significant concern for the Veterans Health Administration (VHA), with chronic pain conditions among those most frequently reported by Operation Enduring Freedom (OEF)/Operation Iraqi Freedom (OIF)/Operation New Dawn (OND) veterans. The current study examined VHA electronic medical record data to examine variation in demographics and high prevalence and high impact medical and mental health conditions in order to characterize the differences between patients with persistent pain and no pain., Design: A conservative operational definition of chronic or "persistent pain" based on multiple indicators of pain (i.e., pain intensity ratings, prescription opioids, pain clinic visits, International Classification of Diseases, Ninth Revision codes) was employed. Analyses included the entire roster of longitudinal clinical data on OEF/OIF/OND veterans who used VHA care to compare those with persistent pain with those with no clinical evidence of pain., Results: Results of logistic regression models suggest that sex, race, education, military variables, body mass index (BMI), traumatic brain injury (TBI), and mental health conditions, but not age, reliably discriminate the two groups. Those with persistent pain were more likely to be Black, female, on active duty, enlisted, Army service members, have a high school education or less, and have diagnoses of mood disorders, post-traumatic stress disorder, substance use disorders, anxiety disorders, TBI, and have a BMI consistent with overweight and obesity., Conclusions: The operational definition of chronic pain used in this study may have research implications for examining predictors of incident and chronic pain. These data have important clinical implications in that addressing comorbid conditions of persistent pain may improve adaptive coping and functioning in these patients., (Wiley Periodicals, Inc.)

Objective: To examine differences in male and female veterans of Operations Enduring Freedom/Iraqi Freedom (OEF/OIF) period of service in taking prescription headache medication, and associations between taking prescription headache medication and mental health status, psychiatric symptoms, and rates of traumatic events., Background: Headaches are common among active service members and are associated with impairment in quality of life. Little is known about headaches in OEF/OIF veterans., Methods: Veterans participating in the Women Veterans Cohort Study responded to a cross-sectional survey to assess taking prescription headache medication, mental health status (Post Deployment Health Assessment), psychiatric symptoms (portions of the Brief Patient Health Questionnaire and the Posttraumatic Stress Disorder Checklist), and traumatic events (the Traumatic Life Events Questionnaire and queries regarding military trauma). Gender differences among taking prescription headache medication, health status, psychiatric symptoms, and traumatic events were examined. Regression analyses were used to examine the influence of gender on the associations between taking prescription headache medication and health status, psychiatric symptoms, and traumatic events., Results: 139/551 (25.2%) participants reported taking prescription headache medication in the past year. A higher proportion of women veterans (29.1%) reported taking prescription medication for headache in the last year compared with men (19.7%). Taking prescription headache medication was associated with poorer perceived mental health status, higher anxiety and posttraumatic stress disorder symptoms, and higher rates of traumatic events. The association between prescription headache medication use and perceived mental health status, and with the association between prescription headache medication use and posttraumatic stress disorder symptoms, was stronger for men than for women., Conclusions: Among OEF/OIF veterans, the prevalence of clinically relevant headache is high, particularly among women veterans. Taking prescription headache medication is associated with poor mental health status, higher rates of psychiatric symptoms, and higher rates of traumatic events; however, these variables did not appear to meaningfully account for gender differences in prevalence of taking prescription headache medication. Future research should endeavor to identify factors that might account for the observed differences., (© 2013 American Headache Society.)

Background: Medications that may increase risk of birth defects if used during pregnancy or immediately preconception are dispensed to approximately half of female Veterans who fill prescriptions at a VA pharmacy., Objective: To assess receipt of counseling about risk of medication-induced birth defects among female Veterans of reproductive age and to examine Veterans' confidence that their healthcare provider would counsel them about teratogenic risks., Design and Participants: Cross-sectional analysis of data provided by 286 female Veterans of Operation Iraqi Freedom and/or Operation Enduring Freedom who completed a mailed survey between July 2008 and October 2010., Main Measures: We examined associations between demographic, reproductive, and health service utilization variables and female Veterans' receipt of counseling and confidence that they would receive such counseling., Key Results: The response rate was 11 %; the large majority (89 %) of responding female Veterans reported use of a prescription medication in the last 12 months. Most (90 %) of the 286 female Veterans who reported medication use were confident that they would be told by their healthcare provider if a medication might cause a birth defect. However, only 24 % of women who received prescription medications reported they had been warned of teratogenic risks. Female Veterans who used medications that are known to be teratogenic were not more likely than women using other medications to report having been warned about risks of medication-induced birth defects, and fewer were confident that their health care providers would provide teratogenic risk counseling when needed., Conclusions: Female Veterans may not receive appropriate counseling when medications that can cause birth defects are prescribed.

Contraceptive use among women Veterans may not be adequately captured using administrative and pharmacy codes. Clinical progress notes may provide a useful alternative. The objectives of this study were to validate the use of administrative and pharmacy codes to identify contraceptive use in Veterans Health Administration data, and to determine the feasibility and validity of identifying contraceptive use in clinical progress notes. The study included women Veterans who participated in the Women Veterans Cohort Study, enrolled in the Veterans Affairs Connecticut Health Care System, completed a baseline survey, and had clinical progress notes from one year prior to survey completion. Contraceptive ICD-9-CM codes, V-codes, CPT codes, and pharmacy codes were identified. Progress notes were annotated to identify contraceptive use. Self-reported contraceptive use was identified from a baseline survey of health habits and healthcare practices and utilization. Sensitivity, specificity, and positive predictive value were calculated comparing administrative and pharmacy contraceptive codes and progress note-based contraceptive information to self-report survey data. Results showed that administrative and pharmacy codes were specific but not sensitive for identifying contraceptive use. For example, oral contraceptive pill codes were highly specific (1.00) but not sensitive (0.41). Data from clinical progress notes demonstrated greater sensitivity and comparable specificity. For example, for oral contraceptive pills, progress notes were both specific (0.85) and sensitive (0.73). Results suggest that the best approach for identifying contraceptive use, through either administrative codes or progress notes, depends on the research question.

To study factors associated with anemia and its effect on survival in HIV-infected persons treated with modern combined antiretroviral therapy (cART), we characterized the prevalence of anemia in the Veterans Aging Cohort Study (VACS) and used a candidate gene approach to identify proinflammatory gene single nucleotide polymorphisms (SNPs) associated with anemia in HIV disease. The study comprised 1597 HIV(+) and 865 HIV(-) VACS subjects with DNA, blood, and annotated clinical data available for analysis. Anemia was defined according to World Health Organization criteria (hemoglobin < 13 g/dL and < 12 g/dL in men and women, respectively). The prevalence of anemia in HIV(+) and HIV(-) subjects was 23.1% and 12.9%, respectively. Independent of HIV status, anemia was present in 23.4% and 8% in blacks and whites, respectively. Analysis of our candidate genes revealed that the leptin -2548 G/A SNP was associated with anemia in HIV(+), but not HIV(-), patients, with the AA and AG genotypes significantly predicting anemia (P < .003 and P < .039, respectively, logistic regression). This association was replicated in an independent cohort of HIV(+) women. Our study provides novel insight into the association between genetic variability in the leptin gene and anemia in HIV(+) individuals.

Purpose: The absence of validated methods to identify hepatic decompensation in cohort studies has prevented a full understanding of the natural history of chronic liver diseases and impact of medications on this outcome. We determined the ability of diagnostic codes and liver-related laboratory abnormalities to identify hepatic decompensation events within the Veterans Aging Cohort Study (VACS)., Methods: Medical records of patients with hepatic decompensation codes and/or laboratory abnormalities of liver dysfunction (total bilirubin ≥ 5.0 g/dL, albumin ≤ 2.0 g/dL, INR ≥ 1.7) recorded 1 year before through 6 months after VACS entry were reviewed to identify decompensation events (i.e., ascites, spontaneous bacterial peritonitis, variceal hemorrhage, hepatic encephalopathy, hepatocellular carcinoma) at VACS enrollment. Positive predictive values (PPVs) of diagnostic codes, laboratory abnormalities, and their combinations for confirmed outcomes were determined., Results: Among 137 patients with a hepatic decompensation code and 197 with a laboratory abnormality, the diagnosis was confirmed in 57 (PPV, 42%; 95%CI, 33%-50%) and 56 (PPV, 28%; 95%CI, 22%-35%) patients, respectively. The combination of any code plus laboratory abnormality increased PPV (64%; 95%CI, 47%-79%). One inpatient or ≥2 outpatient diagnostic codes for ascites, spontaneous bacterial peritonitis, or variceal hemorrhage had high PPV (91%; 95%CI, 77%-98%) for confirmed hepatic decompensation events., Conclusion: An algorithm of 1 inpatient or ≥ 2 outpatient codes for ascites, peritonitis, or variceal hemorrhage has sufficiently high PPV for hepatic decompensation to enable its use for epidemiologic research in VACS. This algorithm may be applicable to other cohorts., (Copyright © 2011 John Wiley & Sons, Ltd.)