OBJECTIVE: This study examined potential risk factors associated with healthcare utilization among patients with spine (i.e., neck and back) pain. METHODS: A two-stage sampling approach examined spine pain episodes of care among veterans with a yearly outpatient visit for six consecutive years. Descriptive and bivariate statistics, followed by logistic regression analyses, examined baseline characteristics of veterans with new episodes of care who either continued or discontinued spine pain care. A multivariable logistic regression model examined correlates associated with seeking continued spine pain care. RESULTS: Among 331,908 veterans without spine pain episodes of care during the two-year baseline observation period, 16.5% (n = 54,852) had a new episode of care during the following two-year observation period. Of those 54,852 veterans, 37,025 had an outpatient visit data during the final two-year follow-up period, with 53.7% (n = 19,865) evidencing continued spine pain care. Those with continued care were more likely to be overweight or obese, non-smokers, Army veterans, have higher education, and had higher rates of diagnoses of all medical and mental health conditions examined at baseline. Among several important findings, women had 13% lower odds of continued care during the final two-year observation period, OR 0.87 (0.81, 0.95). CONCLUSIONS: A number of important demographics and clinical correlates were associated with increased likelihood of seeking new and continued episodes of care for spine pain; however, further examination of risk factors associated with healthcare utilization for spine pain is indicated.

BACKGROUND: As cognitive, emotional, and health-related behavioral issues are prevalent among persons with multiple sclerosis (MS), mental health services are a valuable component of comprehensive care. However, it is unknown how many participate in neuropsychological and psychotherapeutic services, and whether the presence of certain co-occurring conditions increase service use. This study aimed to examine the frequency and associated factors (e.g., age, gender, education, race/ethnicity, and co-occurring conditions) of neuropsychological and psychotherapeutic service utilization in the Veterans Health Administration (VHA) among Veterans with MS. METHODS: Data were extracted from VHA Corporate Data Warehouse as part of the Women Veterans Cohort Study (WVCS), a longitudinal project with Veterans who served during the Iraq and Afghanistan conflicts. Participants (n = 1,686) were Veterans from the overall WVCS dataset who had three or more VHA MS-related encounters (inpatient, outpatient, and/or disease modifying therapy) within one calendar year between fiscal years 2010 and 2015. Neuropsychological assessment participation was identified by procedural codes 96118 and 96119, while psychotherapeutic services were defined using 90804, 90806, 90808, 96150, 96151, and 96152. Bivariate analyses were conducted to identify socio-demographics and clinical characteristics that differed between Veterans who did and did not use these services. Service dates were compared to the diagnosis dates of the co-occurring conditions to determine whether the majority of the diagnoses preceded the service (e.g., a recognized problem) or were coded the day of or after the initial appointment (e.g., a suspected problem), which informed what co-occurring conditions and participants were included in the subsequent logistic regressions. RESULTS: Two hundred eighty-one Veterans (16.67%) participated in a neuropsychological assessment. Veterans who had an evaluation had higher rates of several co-occurring conditions (ps < 0.01), though no significant relationships emerged with any of the socio-demographic variables and participation. After controlling for age, gender, education, and race/ethnicity, two previously diagnosed co-occurring conditions predicted service utilization: traumatic brain injuries (TBIs; OR: 2.33, 95% CI: 1.60, 3.35) and mood disorders (i.e., depressive and bipolar disorders; OR: 1.71, 95% CI: 1.26, 2.31). Psychotherapeutic service usage was more common, occurring in over 45% (n = 771) of the sample. Service utilization was associated with several co-occurring conditions (ps < 0.001), as well as level of education (p = .003). Focusing on participants who were diagnosed the day of or after the initial encounter, five co-occurring conditions were predictors of psychotherapeutic service use: mood disorders (OR: 1.81, 95% CI: 1.34, 2.46), anxiety disorders (OR: 1.38, 95% CI: 1.03, 1.85), sleep disorders (OR: 1.55, 95% CI: 1.19, 2.01), alcohol-related disorders (OR: 3.29, 95% CI: 1.79, 6.21), and cognitive disorders (OR: 3.72, 95% CI: 2.29, 6.16). CONCLUSIONS: These findings suggest that these services are being utilized by clinicians and Veterans to address the clinical complexity related to having MS and one or more of these other conditions.

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 x 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: Despite strong evidence for the effectiveness of non-pharmacological pain treatment modalities (NPMs), little is known about the prevalence or correlates of NPM use. OBJECTIVE: This study examined rates and correlates of NPM use in a sample of veterans who served during recent conflicts. DESIGN: We examined rates and demographic and clinical correlates of self-reported NPM use (operationalized as psychological/behavioral therapies, exercise/movement therapies, and manual therapies). We calculated descriptive statistics and examined bivariate associations and multivariable associations using logistic regression. PARTICIPANTS: Participants were 460 veterans endorsing pain lasting > /= 3 months who completed the baseline survey of the Women Veterans Cohort Study (response rate 7.7%. MAIN MEASURES: Outcome was self-reported use of NPMs in the past 12 months. KEY RESULTS: Veterans were 33.76 years old (SD = 10.72), 56.3% female, and 80.2% White. Regarding NPM use, 22.6% reported using psychological/behavioral, 50.9% used exercise/movement and 51.7% used manual therapies. Veterans with a college degree (vs. no degree; OR = 2.51, 95% CI = 1.46, 4.30, p = 0.001) or those with worse mental health symptoms (OR = 2.88, 95% CI = 2.11, 3.93, p < 0.001) were more likely to use psychological/behavioral therapies. Veterans who were female (OR = 0.63, 95% CI = 0.43, 0.93, p = 0.02) or who used non-opioid pain medications (OR = 1.82, 95% CI = 1.146, 2.84, p = 0.009) were more likely to use exercise/movement therapies. Veterans who were non-White (OR = 0.57, 95% CI = 0.5, 0.94, p = 0.03), with greater educational attainment (OR = 2.11, 95% CI = 1.42, 3.15, p < 0.001), or who used non-opioid pain medication (OR = 1.71, 95% CI = 1.09, 2.68, p = 0.02) were more likely to use manual therapies. CONCLUSIONS: Results identified demographic and clinical characteristics among different NPMs, which may indicate differences in veteran treatment preferences or provider referral patterns. Further study of provider referral patterns and veteran treatment preferences is needed to inform interventions to increase NPM utilization. Research is also need to identify demographic and clinical correlates of clinical outcomes related to NPM use.

INTRODUCTION: Opioid prescribing and subsequent rates of serious harms have dramatically increased in the past two decades, yet there are still significant barriers to reduction of risky opioid regimens. This formative evaluation utilized a mixed-methods approach to identify barriers and factors that may facilitate the successful implementation of Primary Care-Integrated Pain Support (PIPS), a clinical program designed to support the reduction of risky opioid regimens while increasing the uptake of non-pharmacologic treatment modalities. METHODS: Eighteen Department of Veterans Affairs (VA) employees across three sites completed a survey consisting of the Organizational Readiness for Implementing Change (ORIC) scale; a subset of these individuals (n=9) then completed a semi-structured qualitative phone interview regarding implementing PIPS within the VA. ORIC results were analyzed using descriptive statistics while interview transcripts were coded and sorted according to qualitative themes. RESULTS: Quantitative analysis based on ORIC indicated high levels of organizational readiness to implement PIPS. Interview analysis revealed several salient themes: system-level barriers such as tension among various pain management providers; patient-level barriers such as perception of support and tension between patient and provider; and facilitating factors of PIPS, such as the importance of the clinical pharmacist role. CONCLUSIONS: While organizational readiness for implementing PIPS appears high, modifications to our implementation facilitation strategy (e.g., establishing clinical pharmacists as champions; marketing PIPS to leadership as a way to improve VA opioid safety metrics) may improve capacity of the sites to implement PIPS successfully.