Complementary and Integrative Health Approaches and Pain Care Quality in the Veterans Health Administration Primary Care Setting: A Quasi-Experimental Analysis.

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.

Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings.

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.

Military sexual trauma and incident hypertension: a 16-year cohort study of young and middle-aged men and women.

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.

Gender Differences in Guideline-Directed Medical Therapy for Cardiovascular Disease Among Young Veterans.

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.

Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain.

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.

Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis.

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.

Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?

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.

Military sexual trauma and suicidal ideation in VHA-care-seeking OEF/OIF/OND veterans without mental health diagnosis or treatment.

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.

Pain intensity and pain medication prescription patterns in Veterans with heart failure and back pain.

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, Mage = 70.5 ± 12) were compared to those with back pain alone (heart failure-, n = 165,290, Mage = 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.

ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration.

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.

Incident Musculoskeletal Conditions Among Men and Women Veterans Returning From Deployment.

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.

Serious Falls in Middle-Aged Veterans: Development and Validation of a Predictive Risk Model.

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.

The architecture of co-morbidity networks of physical and mental health conditions in military veterans.

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.

Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

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.

Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators.

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.

Screening for Military Sexual Trauma Is Associated With Improved HIV Screening in Women Veterans.

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.

Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

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.

Variation in National Opioid Prescribing Patterns Following Surgery for Kidney Stones.

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.

Impact of Cigarette Smoking Status on Pain Intensity Among Veterans With and Without Hepatitis C.

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.

Posttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period.

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/m2 (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/m2 ((95% CI 0.05 to 0.09, p < 0.001); women-men difference: 0.03 (95% CI 0.01 to 0.06) kg/m2, 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.