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.

Treatment of a Large Cohort of Veterans Experiencing Musculoskeletal Disorders with Spinal Cord Stimulation in the Veterans Health Administration: Veteran Characteristics and Outcomes

OBJECTIVE

Spinal cord stimulator (SCS) implantation is used to treat chronic pain, including painful musculoskeletal disorders (MSDs). This study examined the characteristics and outcomes of veterans receiving SCSs in Veterans Health Administration (VHA) facilities.

METHODS

The sample was drawn from the MSD Cohort and limited to three MSDs with the highest number of implants (N=815,475). There were 1490 veterans with these conditions who received SCS implants from 2000 to 2012, of which 95% (n=1414) had pain intensity numeric rating scale (NRS) data both pre- and post-implant.

RESULTS

Veterans who were 35-44 years old, White, and married reported higher pain NRS ratings, had comorbid inclusion diagnoses, had no medical comorbidities, had a BMI 25-29.9, or had a depressive disorder diagnosis were more likely to receive an SCS. Veterans 55+ years old or with an alcohol or substance use disorder were less likely to receive an SCS. Over 90% of those receiving an SCS were prescribed opioids in the year prior to implant. Veterans who had a presurgical pain score ≥4 had a clinically meaningful decrease in their pain score in the year following their 90-day recovery period (Day 91-456) greater than expected by chance alone. Similarly, there was a significant decrease in the percent of veterans receiving opioid therapy (92.4% vs 86.6%, p<0.0001) and a significant overall decrease in opioid dose [morphine equivalent dose per day (MEDD) =26.48 vs MEDD=22.59, p<0.0003].

CONCLUSION

Results offer evidence of benefit for some veterans with the examined conditions. Given known risks of opioid therapy, the reduction is an important potential benefit of SCS implants.

Sex Differences in Military Sexual Trauma and Severe Self-Directed Violence

INTRODUCTION

Previous research has demonstrated an association between military sexual trauma and risk for suicide; however, risk for self-directed violence such as suicide attempt or nonsuicidal self-injury following military sexual trauma is understudied. This study examines the relationship between military sexual trauma and serious self-directed violence resulting in hospitalization, as well as whether this relationship differs by sex.

METHODS

Participants were 750,176 Operations Enduring Freedom/Iraqi Freedom/New Dawn veterans who were enrolled in Veterans Health Administration care during the period of October 1, 2001-September 30, 2014 and who were screened for military sexual trauma. Data were analyzed in 2019. Bivariate analyses and Cox proportional hazards regression models were employed.

RESULTS

Women veterans were more likely to screen positive for military sexual trauma (21.33% vs 1.63%), and women and men were equally likely to experience serious self-directed violence (1.19% women vs 1.18% men). Controlling for demographic variables and psychiatric morbidity, military sexual trauma predicted serious self-directed violence for both men and women. Further, men with military sexual trauma were 15% less likely to experience self-directed violence compared with women with military sexual trauma (hazard ratio=0.85, 95% CI=0.74, 0.98).

CONCLUSIONS

Military sexual trauma is associated with risk for serious self-directed violence for both men and women veterans, and the relationship may be pronounced among women. Results underscore the importance of incorporating military sexual trauma into treatment and preventative efforts for self-directed violence.

Suicidal ideation, behavior, and mortality in male and female US veterans with severe mental illness

BACKGROUND

We compared male and female American veterans with schizophrenia or bipolar disorder regarding clinical characteristics associated with lifetime suicidal ideation and behavior. Subsequent mortality, including death by suicide, was also assessed.

METHODS

Data from questionnaires and face-to-face evaluations were collected during 2011-2014 from 8,049 male and 1,290 female veterans with schizophrenia or bipolar disorder. In addition to comparing male-female characteristics, Cox regression models-adjusted for demographic information, medical-psychiatric comorbidities, and self-reported suicidal ideation and behavior-were used to examine gender differences in associations of putative risk factors with suicide-specific and all-cause mortality during up to six years of follow-up.

RESULTS

Women overall were younger, more likely to report a history of suicidal behavior, less likely to be substance abusers, and had lower overall mortality during follow-up. Among women only, psychiatric comorbidity was paradoxically associated with lower all-cause mortality (hazard ratio [HR]=0.53, 95% CI, 0.29-0.96, p = 0.037 for 1 disorder vs. none; HR=0.44, 95% CI, 0.25-0.77, p = 0.004 for ≥2 disorders vs. none). Suicide-specific mortality involved relatively few events, but crude rates were an order of magnitude higher than in the U.S. general and overall veteran populations.

LIMITATIONS

Incomplete cause-of-death information and low statistical power for male-female comparisons regarding mortality.

CONCLUSIONS

Female veterans with SMI differed from females in the general population by having a higher risk of suicide attempts. They also had more lifetime suicide attempts than male veterans with same diagnoses. These differences should inform public policy and clinical planning.

Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System

There is a very high suicide rate in the year after psychiatric hospital discharge. Intensive postdischarge case management programs can address this problem but are not cost-effective for all patients. This issue can be addressed by developing a risk model to predict which inpatients might need such a program. We developed such a model for the 391,018 short-term psychiatric hospital admissions of US veterans in Veterans Health Administration (VHA) hospitals 2010-2013. Records were linked with the National Death Index to determine suicide within 12 months of hospital discharge (n=771). The Super Learner ensemble machine learning method was used to predict these suicides for time horizon between 1 week and 12 months after discharge in a 70% training sample. Accuracy was validated in the remaining 30% holdout sample. Predictors included VHA administrative variables and small area geocode data linked to patient home addresses. The models had AUC=.79-.82 for time horizons between 1 week and 6 months and AUC=.74 for 12 months. An analysis of operating characteristics showed that 22.4%-32.2% of patients who died by suicide would have been reached if intensive case management was provided to the 5% of patients with highest predicted suicide risk. Positive predictive value (PPV) at this higher threshold ranged from 1.2% over 12 months to 3.8% per case manager year over 1 week. Focusing on the low end of the risk spectrum, the 40% of patients classified as having lowest risk account for 0%-9.7% of suicides across time horizons. Variable importance analysis shows that 51.1% of model performance is due to psychopathological risk factors accounted, 26.2% to social determinants of health, 14.8% to prior history of suicidal behaviors, and 6.6% to physical disorders. The paper closes with a discussion of next steps in refining the model and prospects for developing a parallel precision treatment model.

Gender Differences in Suicide and Self-Directed Violence Risk Among Veterans With Post-traumatic Stress and Substance Use Disorders

BACKGROUND

Veterans have a high prevalence of both post-traumatic stress disorder (PTSD) and substance use disorders (SUDs), which are related to suicide risk. Exploring gender-related differences in suicidal behavior risk among this subgroup of veterans is important to improve prevention and treatment strategies. To date, few studies have explored these differences.

METHODS

The sample included 352,476 men and women veterans from the Women Veterans Cohort Study with a diagnosis of PTSD. First, we conducted analyses to assess gender-related differences in sociodemographic and clinical variables at baseline, as well as by suicidal behavior. Then, we conducted a series of Cox proportional hazards regression models to estimate the hazard ratios of engaging in self-directed violence (SDV) and dying by suicide by SUD status and gender, controlling for potential confounders.

RESULTS

Adjusted analyses showed that, among veterans with PTSD, the presence of a SUD significantly increased the risk of SDV and death by suicide. Women with PTSD had a decreased risk of dying by suicide compared with men. No gender-related difference was observed for SDV. SUD increased the risk of SDV behavior in both women and men but increased the risk of dying by suicide only among men.

CONCLUSIONS

Our findings revealed gender-related differences in SDV and suicide among veterans with a PTSD diagnosis with or without a SUD. Our study, along with the increasing numbers of women serving in the military, stresses the need to conduct gender-based analyses to help improve prevention and treatment strategies.

USE OF EXPOSURE CROSSOVER DESIGN TO CONTROL FOR UNMEASURED BASELINE CONFOUNDING IN OBSERVATIONAL STUDIES

Observational comparative effectiveness studies face the challenge of selection bias. Due to lack of randomization, an alleged treatment effect may reflect inherent differences in baseline characteristics between comparison groups, rather than the outcome of treatment. Propensity score methods were devised to “resample” a most comparable comparison group, under a strong yet untestable assumption of no unmeasured confounding. We present an “exposure crossover” study evaluating complementary and integrative health approaches (CIH) among 6,379 US veterans who received acupuncture, massage or chiropractic therapies between 10/1/2011-9/30/2013. Their average pain intensity ratings (PIRs) during the 12-months after CIH initiation (effect period, EP) were compared with the 12-months before (baseline period, BP). Through this built-in self-matching, veterans’ characteristics and other stable baseline confounding, measured and unmeasured, were presumably eliminated. After accounting for time-varying opioid use and within-subject correlations using a generalized estimating equation, we found that in comparison to the BP, the adjusted mean PIR during the EP was -0.40 (95% Confidence Interval (CI): -0.51, -0.29) points lower; while the adjusted rate ratio of moderate to severe pain (PIRs ≥ 4) was 34% lower [0.66 (95% CI: 0.62, 0.70)]. The effect sizes were greater among veterans older than 65 years, yet diminished to null after 6-9 months. Assuming a 3-month induction period, using alternative random-intercept model, and examining post-CIH opioid use as an alternative outcome, derived similar results. These observations echo some randomized trials suggesting a modest, short-term CIH benefit, and highlight the merits and usefulness of exposure-crossover design to observational studies of medical interventions.

Predictors of initiation of and retention on medications for alcohol use disorder among people living with and without HIV

INTRODUCTION

Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status.

METHODS

From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status.

RESULTS

Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51-0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61-0.99; for uninfected: AOR 0.70, 95% CI 0.61-0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49-0.1.00; for uninfected: AOR 0.63, 95% CI 0.48-0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention.

CONCLUSIONS

For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH).

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.

Project STEP: Implementing the Veterans Health Administration's Stepped Care Model of Pain Management

Objective

The "stepped care model of pain management" (SCM-PM) prioritizes the role of primary care providers in optimizing pharmacological management and timely and equitable access to patient-centered, evidence-based nonpharmacological approaches, when indicated. Over the past several years, the Veterans Health Administration (VHA) has supported implementation of SCM-PM, but few data exist regarding changes in pain care resulting from implementation. We examined trends in prescribing and referral practices of primary care providers with hypotheses of decreased opioid prescribing, increased nonopioid prescribing, and increased referrals to specialty care for nonpharmacological services.

Design

An initiative was designed to foster implementation and systematic evaluation of the SCM-PM over a five-year period at the VA Connecticut Healthcare System (VACHS) while fostering collaborative, partnered initiatives to promote organizational improvements in the delivery of pain care.

Subjects

Participants were veterans receiving care at VACHS with at least one pain intensity rating ≥4/10 over the course of the study period (7/2008-6/2013).

Methods

We used electronic health record data to examine changes in indicators of pain care including pharmacy and health care utilization data.

Results

We observed hypothesized changes in long-term opioid and nonopioid analgesic prescribing and increased utilization of nonpharmacological treatments such as physical therapy, occupational therapy, and clinical health psychology.

Conclusions

Through a multifaceted comprehensive implementation approach, primary care providers demonstrated increases in guideline-concordant pain care practices. Findings suggest that engagement of interdisciplinary teams and partnerships to promote organizational improvements is a useful strategy to increase the use of integrated, multimodal pain care for veterans, consistent with VHA's SCM-PM.

Development and Assessment of a Crosswalk Between ICD-9-CM and ICD-10-CM to Identify Patients with Common Pain Conditions

Effective management of patients with pain requires accurate information about the prevalence, outcomes, and co-occurrence of common pain conditions. However, the transition from ICD-9-CM to ICD-10-CM diagnostic coding in 2015 left researchers without methods for comparing the prevalence of pain conditions before and after the transition. In this study, we developed and assessed a diagnostic framework to serve as a crosswalk between ICD-9-CM and ICD-10-CM diagnosis codes for common pain-related health conditions. We refined existing ICD-9-CM definitions for diagnostic clusters of common pain conditions consistent with the US National Pain Strategy and developed corresponding ICD-10-CM definitions. We then assessed the stability of prevalence estimates and associated patient socio-demographic features of each diagnostic cluster during 1-year periods before and after the transition to ICD-10-CM in 3 US health care systems using electronic health records data for in-person encounters. Prevalence estimates and socio-demographic characteristics were similar before and after the transition. The Pain Condition ICD-9-CM to ICD-10-CM Crosswalk includes a full spectrum of common pain conditions to enable prevalence estimates of multiple and chronic overlapping pain conditions. This allows the tool to serve as a foundation for a broad array of pain-related health services research utilizing electronic databases. PERSPECTIVE: This article details the development and assessment of the Pain Condition ICD-9-CM to ICD-10-CM Crosswalk, a diagnostic framework for assessing pain condition prevalence across the ICD-9-CM to ICD-10-CM transition. This framework can serve as a standardized tool for research on pain conditions, including health services and epidemiologic research.

Depression and all-cause mortality risk in HIV-infected and HIV-uninfected US veterans: a cohort study

OBJECTIVES

The contribution of depression to mortality in adults with and without HIV infection is unclear. We hypothesized that depression increases mortality risk and that this association is stronger among those with HIV infection.

METHODS

Veterans Aging Cohort Study (VACS) data were analysed from the first clinic visit on or after 1 April 2003 (baseline) to 30 September 2015. Depression definitions were: (1) major depressive disorder defined using International Classification of Diseases, Ninth Revision (ICD-9) codes; (2) depressive symptoms defined as Patient Health Questionnaire (PHQ)-9 scores ≥ 10. The outcome was all-cause mortality. Covariates were demographics, comorbid conditions and health behaviours.

RESULTS

Among 129 140 eligible participants, 30% had HIV infection, 16% had a major depressive disorder diagnosis, and 24% died over a median follow-up time of 11 years. The death rate was 25.3 [95% confidence interval (CI) 25.0-25.6] deaths per 1000 person-years. Major depressive disorder was associated with mortality [hazard ratio (HR) 1.04; 95% CI 1.01, 1.07]. This association was modified by HIV status (interaction P-value = 0.02). In HIV-stratified analyses, depression was significantly associated with mortality among HIV-uninfected veterans but not among those with HIV infection. Among those with PHQ-9 data (n = 7372), 50% had HIV infection, 22% had PHQ-9 scores ≥ 10, and 28% died over a median follow-up time of 12 years. The death rate was 27.3 (95% CI 26.1-28.5) per 1000 person-years. Depressive symptoms were associated with mortality (HR 1.16; 95% CI 1.04, 1.28). This association was modified by HIV status (interaction P-value = 0.05). In HIV-stratified analyses, depressive symptoms were significantly associated with mortality among veterans with HIV infection but not among those without HIV infection.

CONCLUSIONS

Depression was associated with all-cause mortality. This association was modified by HIV status and method of depression ascertainment.

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.

Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas

BACKGROUND

For people living with HIV (PLWH), alcohol use is harmful and may be influenced by unique challenges faced by PLWH living in rural areas. We describe patterns of alcohol use across rurality among PLWH.

METHODS

Veterans Aging Cohort Study electronic health record data were used to identify patients with HIV (ICD-9 codes for HIV or AIDS) who completed AUDIT-C alcohol screening between February 1, 2008, and September 30, 2014. Regression models estimated and compared 4 alcohol use outcomes (any use [AUDIT-C > 0] and alcohol use disorder [AUD; ICD-9 codes for abuse or dependence] diagnoses among all PLWH, and AUDIT-C risk categories: lower- [1-3 men/1-2 women], moderate- [4-5 men/3-5 women], higher- 6-7]), and severe-risk [8-12], and heavy episodic drinking (HED; ≥1 past-year occasion) among PLWH reporting use) across rurality (urban, large rural, small rural) and census-defined region.

FINDINGS

Among 32,699 PLWH (29,540 urban, 1,301 large rural, and 1,828 small rural), both any alcohol use and AUD were highest in urban areas, although this varied across region. Predicted prevalence of any alcohol use was 54.1% (53.5%-54.7%) in urban, 49.6% (46.9%-52.3%) in large rural, and 50.6% (48.3%-52.9%) in small rural areas (P < .01). Predicted prevalence of AUD was 14.4% (14.0%-14.8%) in urban, 11.8% (10.0%-13.5%) in large rural, and 12.3% (10.8%-13.8%) in small rural areas (P < .01). Approximately 12% and 25% had higher- or severe-risk drinking and HED, respectively, but neither differed across rurality.

CONCLUSION

Though some variation across rurality and region was observed, alcohol-related interventions are needed for PLWH across all geographic locations.

Dual Use of Department of Veterans Affairs and Medicare Benefits on High-Risk Opioid Prescriptions in Veterans Aged 65 Years and Older: Insights from the VA Musculoskeletal Disorders Cohort

OBJECTIVE

To examine the association of dual use of both Veterans Health Administration (VHA) and Medicare benefits with high-risk opioid prescriptions among Veterans aged 65 years and older with a musculoskeletal disorder diagnosis.

DATA SOURCES/STUDY SETTING

Data were obtained from the VA Musculoskeletal Disorder (MSD) cohort and national Medicare claims data from 2008 to 2010.

STUDY DESIGN

We conducted a retrospective analysis of Veterans enrolled in Medicare to examine the association of dual use with long-term opioid use (>90 days of prescription opioids/year) and overlapping opioid prescriptions. Multivariable logistic regression was performed adjusting for demographic and clinical characteristics.

DATA COLLECTION/EXTRACTION METHODS

We identified 21,111 Veterans enrolled in Medicare who entered the MSD cohort in 2008 and received an opioid prescription in 2010. We linked VHA data with Medicare claims data to identify opioid prescriptions for these Veterans in 2010.

PRINCIPAL FINDINGS

As compared to Veterans who used only VHA or Medicare, Veterans with dual use of VHA and Medicare were significantly more likely to be prescribed long-term opioid therapy (OR = 4.61 (95 percent CI 4.05-5.25) and were also found to have higher median number of opioid prescriptions and higher odds of overlapping opioid prescriptions in 1 year. Patients reporting moderate-to-severe pain, non-white-race/ethnicity, and higher scoring on the Charlson comorbidity index had significantly higher odds of long-term opioid prescriptions.

CONCLUSIONS

Among Veterans aged 65 years or older, dual use of both VHA and Medicare was associated with higher odds of long-term opioid therapy. Our findings suggest there may be benefit to combining VHA and non-VHA electronic health record data to minimize exposure to high-risk opioid prescribing.

Relationships Between Temporomandibular Disorders, MSD Conditions, and Mental Health Comorbidities: Findings from the Veterans Musculoskeletal Disorders Cohort

Objective

Temporomandibular disorders (TMDs) have been associated with other chronic painful conditions (e.g., fibromyalgia, headache) and suicide and mood disorders. Here we examined musculoskeletal, painful, and mental health comorbidities in men vs women veterans with TMD (compared with non-TMD musculoskeletal disorders [MSDs] cases), as well as comorbidity patterns within TMD cases.

Design

Observational cohort.

Setting

National Veterans Health Administration.

Subjects

A cohort of 4.1 million veterans having 1+ MSDs, entering the cohort between 2001 and 2011.

Methods

Chi-square tests, t tests, and logistic regression were utilized for cross-sectional analysis.

Results

Among veterans with any MSD, those with TMD were younger and more likely to be women. The association of TMD with race/ethnicity differed by sex. Odds of TMD were higher in men of Hispanic ethnicity (OR = 1.38, 95% CI = 1.27-1.48) and nonwhite race/ethnicity other than black or Hispanic (OR = 1.29, 95% CI = 1.16-1.45) compared with white men. Odds of TMD were significantly lower for black (OR = 0.54, 95% CI = 0.49-0.60) and Hispanic women (OR = 0.84, 95% CI = 0.73-0.995) relative to white women. Non-MSD comorbidities (e.g., irritable bowel syndrome, mental health, headaches) were significantly associated with TMD in male veterans; their pattern was similar in women. Veterans with back pain, nontraumatic joint disorder, or osteoarthritis had more MSD multimorbidity than those with TMD.

Conclusions

Complex patterns of comorbidity in TMD cases may indicate different underlying mechanisms of association in subgroups or phenotypes, thereby suggesting multiple targets to improve TMD. Longitudinal comprehensive studies powered to look at sex and racial/ethnic groupings are needed to identify targets to personalize care.

Examining Gender as a Correlate of Self-Reported Pain Treatment Use Among Recent Service Veterans with Deployment-Related Musculoskeletal Disorders

Objective

Women veterans with chronic pain utilize health care with greater frequency than their male counterparts. However, little is known about gender differences in the use of specialty pain care in this population. This investigation examined gender differences in self-reported use of opioids, interventional pain treatments, rehabilitation therapies, and complementary and integrative health (CIH) services for chronic pain treatment both within and outside of the Veterans Health Administration in a sample of veterans who served in support of recent conflicts.

Methods

Participants included 325 veterans (54% women) who completed a baseline survey as part of the Women Veterans Cohort Study and reported deployment-related musculoskeletal conditions and chronic pain. Measures included self-reported use of pain treatment modalities, pain severity, self-rated health, access to specialty care, disability status, and presence of a mental health condition.

Results

Men were more likely to report a persistent deployment-related musculoskeletal condition but were no more likely than women to report chronic pain. Overall, 21% of the sample reported using opioids, 27% used interventional strategies, 59% used rehabilitation therapies, and 57% used CIH services. No significant gender differences in use of any pain treatment modality were observed.

Conclusions

Use of pain specialty services was common among men and women, particularly rehabilitative and CIH services. There were no gender differences in the self-reported use of different modalities. These results are inconsistent with documented gender differences in pain care. They encourage further examination of gender differences in preferences and other individual difference variables as predictors of specialty pain care utilization.

Cigarette Smoking Status and Receipt of an Opioid Prescription Among Veterans of Recent Wars

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.

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.

Discontinuing a non-steroidal anti-inflammatory drug (NSAID) in patients with knee osteoarthritis: Design and protocol of a placebo-controlled, noninferiority, randomized withdrawal trial

BACKGROUND

Knee osteoarthritis (OA) is the most common cause of knee pain in older adults. Despite the limited data supporting their use, non-steroidal anti-inflammatory drugs (NSAID) are among the most commonly prescribed medications for knee OA. The use of NSAIDs for knee pain warrants careful examination because of toxicity associated with this class of medications.

METHODS

We describe the design of a placebo-controlled, noninferiority, randomized withdrawal trial to examine discontinuation of an NSAID in patients with painful knee OA. Participants will be veterans enrolled in the VA Healthcare System with knee OA pain despite NSAID use and/or relatively higher risk of NSAID toxicity. After a two-week run-in period where eligible subjects will replace their current NSAID with the study NSAID (meloxicam), those remaining eligible (target N=544) will be randomized to receive four weeks of either placebo or continued meloxicam. The primary outcome is knee pain (Western Ontario and McMaster Universities Osteoarthritis Index pain subscale, range 0-20) at four weeks post-randomization. The primary hypothesis is that placebo will be noninferior to (that is, not much worse than) meloxicam within a noninferiority margin of 1. Secondary outcomes include lower extremity disability, global impression of change, adherence to study medication and use of co-therapies.

DISCUSSION

This study is the first clinical trial to date examining the effects of withdrawing an NSAID for OA knee pain. If successful, this trial will provide evidence against the continued use of NSAIDs in patients with OA knee pain.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT01799213. Registered February 22, 2013.

Racial and Ethnic Differences in Total Knee Arthroplasty in the Veterans Affairs Health Care System, 2001-2013

OBJECTIVE

To examine black-white and Hispanic-white differences in total knee arthroplasty from 2001 to 2013 in a large cohort of patients diagnosed with osteoarthritis (OA) in the Veterans Affairs (VA) health care system.

METHODS

Data were from the VA Musculoskeletal Disorders cohort, which includes data from electronic health records of more than 5.4 million veterans with musculoskeletal disorders diagnoses. We included white (non-Hispanic), black (non-Hispanic), and Hispanic (any race) veterans, age ≥50 years, with an OA diagnosis from 2001-2011 (n = 539,841). Veterans were followed from their first OA diagnosis until September 30, 2013. As a proxy for increased clinical severity, analyses were also conducted for a subsample restricted to those who saw an orthopedic or rheumatology specialist (n = 148,844). We used Cox proportional hazards regression to examine racial and ethnic differences in total knee arthroplasty by year of OA diagnosis, adjusting for age, sex, body mass index, physical and mental diagnoses, and pain intensity scores.

RESULTS

We identified 12,087 total knee arthroplasty procedures in a sample of 473,170 white, 50,172 black, and 16,499 Hispanic veterans. In adjusted models examining black-white and Hispanic-white differences by year of OA diagnosis, total knee arthroplasty rates were lower for black than for white veterans diagnosed in all but 2 years. There were no Hispanic-white differences regardless of when diagnosis occurred. These patterns held in the specialty clinic subsample.

CONCLUSION

Black-white differences in total knee arthroplasty appear to be persistent in the VA, even after controlling for potential clinical confounders.

Interactive Voice Response-Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial

IMPORTANCE

Recommendations for chronic pain treatment emphasize multimodal approaches, including nonpharmacologic interventions to enhance self-management. Cognitive behavioral therapy (CBT) is an evidence-based treatment that facilitates management of chronic pain and improves outcomes, but access barriers persist. Cognitive behavioral therapy delivery assisted by health technology can obviate the need for in-person visits, but the effectiveness of this alternative to standard therapy is unknown. The Cooperative Pain Education and Self-management (COPES) trial was a randomized, noninferiority trial comparing IVR-CBT to in-person CBT for patients with chronic back pain.

OBJECTIVE

To assess the efficacy of interactive voice response-based CBT (IVR-CBT) relative to in-person CBT for chronic back pain.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a noninferiority randomized trial in 1 Department of Veterans Affairs (VA) health care system. A total of 125 patients with chronic back pain were equally allocated to IVR-CBT (n = 62) or in-person CBT (n = 63).

INTERVENTIONS

Patients treated with IVR-CBT received a self-help manual and weekly prerecorded therapist feedback based on their IVR-reported activity, coping skill practice, and pain outcomes. In-person CBT included weekly, individual CBT sessions with a therapist. Participants in both conditions received IVR monitoring of pain, sleep, activity levels, and pain coping skill practice during treatment.

MAIN OUTCOMES AND MEASURES

The primary outcome was change from baseline to 3 months in unblinded patient report of average pain intensity measured by the Numeric Rating Scale (NRS). Secondary outcomes included changes in pain-related interference, physical and emotional functioning, sleep quality, and quality of life at 3, 6, and 9 months. We also examined treatment retention.

RESULTS

Of the 125 patients (97 men, 28 women; mean [SD] age, 57.9 [11.6] years), the adjusted average reduction in NRS with IVR-CBT (-0.77) was similar to in-person CBT (-0.84), with the 95% CI for the difference between groups (-0.67 to 0.80) falling below the prespecified noninferiority margin of 1 indicating IVR-CBT is noninferior. Fifty-four patients randomized to IVR-CBT and 50 randomized to in-person CBT were included in the analysis of the primary outcome. Statistically significant improvements in physical functioning, sleep quality, and physical quality of life at 3 months relative to baseline occurred in both treatments, with no advantage for either treatment. Treatment dropout was lower in IVR-CBT with patients completing on average 2.3 (95% CI, 1.0-3.6) more sessions.

CONCLUSIONS AND RELEVANCE

IVR-CBT is a low-burden alternative that can increase access to CBT for chronic pain and shows promise as a nonpharmacologic treatment option for chronic pain, with outcomes that are not inferior to in-person CBT.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01025752.

Trends in diagnosis of painful neck and back conditions, 2002 to 2011

Neck and back pain are pervasive problems. Some have suggested that rising incidence may be associated with the evidence of rising prevalence.To describe the trends in diagnosis of painful neck and back conditions in a large national healthcare system.A retrospective observational cohort study to describe the incidence and prevalence of diagnosis of neck and back pain in a national cohort.Patients were identified by International Classification of Diseases, 9 Revision (ICD-9) codes in Department of Veterans Affairs (VA) national utilization datasets in calendar years 2002 to 2011.Descriptive statistics were used to analyze the data. Prevalent cases were compared with all veterans who sought health care in each year. Incident cases were identified following a 2 years clean period in which the patient was enrolled and received care, but not services for any back or neck pain conditions.From 2004 to 2011, 3% to 4% of the population was diagnosed with incident back pain problems, the rate increasing on average, 1.75% per year. During the same period, 12.3% to 16.2% of the population was diagnosed with a prevalent back pain problem, the rate increasing on average 4.09% per year.In a national population, the prevalence rate for diagnosis of neck and back pain grew 1.8 to 2.3 times faster than the incidence rate. This suggests that the average duration of episodes of care is increasing. Additional research is needed to understand the influences on the differential rate of change and to develop efficient and effective care systems.