Efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT) in Individuals With Chronic Pain and Opioid Use Disorder: Protocol for a Randomized Clinical Trial of a Digital Cognitive Behavioral Treatment.

BACKGROUND: Chronic pain is common among individuals with opioid use disorder (OUD) who are maintained on medications for OUD (MOUD; eg, buprenorphine or methadone). Chronic pain is associated with worse retention and higher levels of substance use. Treatment of individuals with chronic pain receiving MOUD can be challenging due to their increased clinical complexity. Given the acute and growing nature of the opioid crisis, MOUD is increasingly offered in a wide range of settings, where high-quality, clinician-delivered, empirically validated behavioral treatment for chronic pain may not be available. Therefore, digital treatments that support patient self-management of chronic pain and OUD have the potential for wider implementation to fill this gap. OBJECTIVE: This study aims to evaluate the efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT), an interactive digital treatment program with asynchronous coach feedback, compared to treatment as usual (TAU) in individuals with chronic pain and OUD receiving MOUD. METHODS: Adult participants (n=160) receiving MOUD and reporting bothersome or high-impact chronic pain will be recruited from outpatient opioid treatment programs in Connecticut (United States) and randomized 1:1 to either IMPACT+TAU or TAU only. Participants randomized to IMPACT+TAU will complete an interactive digital treatment that includes 9 modules promoting training in pain and addiction coping skills and a progressive walking program. The program is augmented with a weekly personalized voice message from a trained coach based on daily participant-reported pain intensity and interference, craving to use opioids, sleep quality, daily steps, pain self-efficacy, MOUD adherence, and engagement with IMPACT collected through digital surveys. Outcomes will be assessed at 3, 6, and 9 months post randomization. The primary outcome is MOUD retention at 3 months post randomization (ie, post treatment). Secondary outcomes include pain interference, physical functioning, MOUD adherence, substance use, craving, pain intensity, sleep disturbance, pain catastrophizing, and pain self-efficacy. Semistructured qualitative interviews with study participants (n=34) randomized to IMPACT (completers and noncompleters) will be conducted to evaluate the usability and quality of the program and its outcomes. RESULTS: The study has received institutional review board approval and began recruitment at 1 site in July 2022. Recruitment at a second site started in January 2023, with a third and final site anticipated to begin recruitment in January 2024. Data collection is expected to continue through June 2025. CONCLUSIONS: Establishing efficacy for a digital treatment for addiction and chronic pain that can be integrated into MOUD clinics will provide options for individuals with OUD, which reduce barriers to behavioral treatment. Participant feedback on the intervention will inform updates or modifications to improve engagement and efficacy. TRIAL REGISTRATION: ClinicalTrials.gov NCT05204576; https://clinicaltrials.gov/ct2/show/NCT05204576. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54342.

Chronic pain and problematic substance use for veterans during COVID-19: the moderating role of psychological flexibility.

Background: Chronic pain and problematic substance use are commonly co-occurring and highly detrimental issues that are especially prevalent in U.S. veteran populations. Although COVID-19 made clinical management of these conditions potentially difficult, some research suggests that certain veterans with these conditions did not experience this period as negatively as others. It is thus important to consider whether resilience factors, such as the increasingly-studied process of psychological flexibility, might have led to better outcomes for veterans managing pain and problematic substance use during this time of global crisis. Methods: This planned sub-analysis of a larger cross-sectional, anonymous, and nationally-distributed survey (N = 409) was collected during the first year of the COVID-19 pandemic. Veteran participants completed a short screener and battery of online surveys assessing pain severity and interference, substance use, psychological flexibility, mental health functioning, and pandemic-related quality of life. Results: For veterans with chronic pain and problematic substance use, the pandemic resulted in a significant lowering of their quality of life related to meeting basic needs, emotional health, and physical health compared to veterans with problematic substance use but no chronic pain diagnosis. However, moderation analyses revealed that veterans with these comorbid conditions experienced less negative impacts from the pandemic on quality of life and mental health when they reported greater psychological flexibility. For veterans with problematic substance use only, psychological flexibility was also related to better mental health functioning, but did not significantly correlate with their quality of life. Conclusion: Results highlight how COVID-19 differentially impacted veterans with both problematic substance use and chronic pain, such that this group reported particularly negative impacts of the pandemic on multiple areas of quality of life. However, our findings further emphasize that psychological flexibility, a modifiable resiliency process, also buffered against some of the negative impacts of the pandemic on mental health and quality of life. Given this, future research into the impact of natural crises and healthcare management should investigate how psychological flexibility can be targeted to help increase resiliency for veterans with chronic pain and problematic substance use.

Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing.

BACKGROUND: Musculoskeletal pain is common in the Veterans Health Administration (VHA), and there is growing national use of chiropractic services within the VHA. Rapid expansion requires scalable and autonomous solutions, such as natural language processing (NLP), to monitor care quality. Previous work has defined indicators of pain care quality that represent essential elements of guideline-concordant, comprehensive pain assessment, treatment planning, and reassessment. OBJECTIVE: Our purpose was to identify pain care quality indicators and assess patterns across different clinic visit types using NLP on VHA chiropractic clinic documentation. METHODS: Notes from ambulatory or in-hospital chiropractic care visits from October 1, 2018 to September 30, 2019 for patients in the Women Veterans Cohort Study were included in the corpus, with visits identified as consultation visits and/or evaluation and management (E&M) visits. Descriptive statistics of pain care quality indicator classes were calculated and compared across visit types. RESULTS: There were 11,752 patients who received any chiropractic care during FY2019, with 63,812 notes included in the corpus. Consultation notes had more than twice the total number of annotations per note (87.9) as follow-up visit notes (34.7). The mean number of total classes documented per note across the entire corpus was 9.4 (standard deviation [SD] = 1.5). More total indicator classes were documented during consultation visits with (mean = 14.8, SD = 0.9) or without E&M (mean = 13.9, SD = 1.2) compared to follow-up visits with (mean = 9.1, SD = 1.4) or without E&M (mean = 8.6, SD = 1.5). Co-occurrence of pain care quality indicators describing pain assessment was high. CONCLUSION: VHA chiropractors frequently document pain care quality indicators, identifiable using NLP, with variability across different visit types.

Integrating cognitive bias modification for pain and opioid cues into medication for opioid use disorder clinical care: Feasibility, acceptability, and preliminary results.

BACKGROUND: Despite high co-occurrence, chronic pain is often unaddressed in treatment for opioid use disorder (OUD) and little is known about mechanisms that may underlie associations between pain and opioid use. Using an attentional bias (AB) task with both pain and opioid cues, we evaluated a cognitive bias modification (CBM) task administered during regularly scheduled medications for OUD (mOUD) dosing visits. The current study evaluated the feasibility, acceptability, and preliminary efficacy of the CBM task. Outcomes for AB tasks used traditional mean-based score and trial-level bias scores (TLBS). METHODS: In a double-blind, randomized controlled trial, 28 individuals with OUD and chronic pain engaged in mOUD were randomized to either CBM or an AB control condition and completed up to three tasks per week for four weeks. Standard AB task was completed at baseline and post-treatment. Participants completed feasibility and acceptability measures, and preliminary efficacy (i.e., change in AB) was assessed using ANOVA models. RESULTS: Participants attended 83.3% of scheduled sessions and generally reported the task was enjoyable, credible, and easy to complete. Preliminary results demonstrated a condition by time interaction highlighting a reduction in AB in the CBM group but not the control group in opioid TLBS variability (F[1,26]=5.01, p = .034) and pain TLBS towards (F[1,26]=6.42, p = .018) and pain TLBS variability (F[1,26]=5.24, p = .03). CONCLUSIONS: The current study supports integrating brief, computer-based tasks designed to reduce AB into mOUD clinical care. The preliminary results suggest that TLBS outcomes may be more sensitive to capture changes in AB; however, larger studies are required.

An Online Acceptance and Mindfulness Intervention for Chronic Pain in Veterans: Development and Protocol for a Pilot Feasibility Randomized Controlled Trial.

BACKGROUND: In the veteran community, chronic pain is particularly prevalent and often debilitating. Until recently, veterans with chronic pain were offered primarily pharmacological intervention options, which rarely suffice and can also have negative health consequences. To better address chronic pain in veterans, the Veterans Health Administration has invested in novel, nonpharmacological behavior interventions that target both pain management and chronic pain-related functional issues. One approach, acceptance and commitment therapy (ACT) for chronic pain, is supported by decades of efficacy evidence for improving pain outcomes; however, ACT can be difficult to obtain owing to issues such as a lack of trained therapists or veterans having difficulty committing to the time and resources needed for the full clinician-led ACT protocol. Given the strong ACT evidence base combined with access limitations, we set out to develop and evaluate Veteran ACT for Chronic Pain (VACT-CP), an online program guided by an embodied conversational agent to improve pain management and functioning. OBJECTIVE: The aims of this study are to develop, iteratively refine, and then conduct a pilot feasibility randomized controlled trial (RCT) of a VACT-CP group (n=20) versus a waitlist and treatment-as-usual control group (n=20). METHODS: This research project includes 3 phases. In phase 1, our research team consulted with pain and virtual care experts, developed the preliminary VACT-CP online program, and conducted interviews with providers to obtain their feedback on the intervention. In phase 2, we incorporated feedback from phase 1 into the VACT-CP program and completed initial usability testing with veterans with chronic pain. In phase 3, we are conducting a small pilot feasibility RCT, with the primary outcome being assessment of usability of the VACT-CP system. RESULTS: This study is currently in phase 3; recruitment for the RCT began in April 2022 and is expected to continue through April 2023. Data collection is expected to be completed by October 2023, with full data analysis completed by late 2023. CONCLUSIONS: The findings from this research project will provide information on the usability of the VACT-CP intervention, as well as secondary outcomes related to treatment satisfaction, pain outcomes (pain-related daily functioning and pain severity), ACT processes (pain acceptance, behavioral avoidance, and valued living), and mental and physical functioning. TRIAL REGISTRATION: ClinicalTrials.gov NCT03655132; https://clinicaltrials.gov/ct2/show/NCT03655132. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45887.

An Analysis of the Role of Mental Health in a Randomized Trial of a Walking Intervention for Black Veterans With Chronic Pain.

Black patients and those with co-occurring mental health disorders are disproportionately affected by chronic pain, but few interventions target these populations. This is a secondary analysis of a randomized trial of a walking-focused proactive counseling intervention for Black Veterans with chronic musculoskeletal pain (ACTION). The primary aim was to examine intervention effectiveness among Veterans with an electronic health record-documented mental health diagnosis [depressive disorder, anxiety disorder, substance use disorder, post-traumatic stress disorder or serious mental illness (n = 205)] and those without a diagnosis (n = 175). About 380 Black Veterans receiving care at the Atlanta VA Health Care System were enrolled from 2016 to 2019 and randomized to the intervention or usual care (UC) (1:1). The intervention featured 6 telephone coaching sessions over 8-14 weeks to encourage walking. Participants with a mental health disorder were more likely to complete all counseling sessions (56% vs 38%) and reported improvements in global perceptions of pain and pain intensity/interference (secondary outcomes) at 3-months vs UC. Among participants without a mental health disorder, the intervention was associated with an improvement in pain-related disability at 6-months (primary outcome). Black chronic pain patients with co-occurring mental health disorders may require more intensive treatment to affect improvement in pain-related disability. PERSPECTIVE: This study examines the effectiveness of a walking intervention for chronic pain among Black Veterans with a mental health disorder. These patients were more engaged with the intervention than those without a mental health disorder. However, they did not experience reductions in pain-related disability, suggesting more intensive treatment is needed.

Pre-implementation formative evaluation of cooperative pain education and self-management expanding treatment for real-world access: A pragmatic pain trial.

OBJECTIVE: Cognitive behavioral therapy for chronic pain (CBT-CP) is an evidence-based treatment for improving functioning and pain intensity for people with chronic pain with extensive evidence of effectiveness. However, there has been relatively little investigation of the factors associated with successful implementation and uptake of CBT-CP, particularly clinician and system level factors. This formative evaluation examined barriers and facilitators to the successful implementation and uptake of CBT-CP from the perspective of CBT-CP clinicians and referring primary care clinicians. METHODS: Qualitative interviews guided by the Consolidated Framework for Implementation Research were conducted at nine geographically diverse Veterans Affairs sites as part of a pragmatic clinical trial comparing synchronous, clinician-delivered CBT-CP and remotely delivered, technology-assisted CBT-CP. Analysis was informed by a grounded theory approach. RESULTS: Twenty-six clinicians (CBT-CP clinicians = 17, primary care clinicians = 9) from nine VA medical centers participated in individual qualitative interviews conducted by telephone from April 2019 to August 2020. Four themes emerged in the qualitative interviews: (1) the complexity and variability of referral pathways across sites, (2) referring clinician's lack of knowledge about CBT-CP, (3) referring clinician's difficulty identifying suitable candidates for CBT-CP, and (4) preference for interventions that can be completed from home. CONCLUSIONS: This formative evaluation identified clinician and system barriers to widespread implementation of CBT-CP and allowed for refinement of the subsequent implementation of two forms of CBT-CP in an ongoing pragmatic trial. Identification of relative difference in barriers and facilitators in the two forms of CBT-CP may emerge more clearly in a pragmatic trial that evaluates how treatments perform in real-world settings and may provide important information to guide future system-wide implementation efforts.

Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial.

BACKGROUND: Cognitive behavioral therapy for chronic pain (CBT-CP) has a strong evidence base, but little is known about when treatment benefits are achieved. The present study is a secondary analysis of individuals with chronic back pain recruited for a noninferiority trial comparing interactive voice response (IVR) CBT-CP with in-person CBT-CP. METHODS: On the basis of data from daily IVR surveys, a clinically meaningful change was defined as a 30% reduction in pain intensity (n = 108) or a 45% increase in daily steps (n = 104) compared with the baseline week. We identified individuals who achieved a meaningful change at any point during treatment, and then we compared those who maintained a meaningful change in their final treatment week (i.e., responders) with those who did not or who achieved a meaningful change but lapsed (i.e., nonresponders). RESULTS: During treatment, 46% of participants achieved a clinically meaningful decrease in pain intensity, and 66% achieved a clinically significant increase in number of steps per day. A total of 54% of patients were classified as responders in terms of decreases in pain intensity, and 70% were responders in terms of increases in step count. Survival analyses found that 50% of responders first achieved a clinically meaningful change by week 4 for pain intensity and week 2 for daily steps. Dropout and demographic variables were unrelated to responder status, and there was low agreement between the two measures of treatment response. CONCLUSIONS: Collectively, results suggest that most responders improve within 4 weeks. Evaluating treatment response is highly specific to the outcome measure, with little correlation across outcomes.

Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial.

Importance: Cognitive behavioral therapy for chronic pain (CBT-CP) is a safe and effective alternative to opioid analgesics. Because CBT-CP requires multiple sessions and therapists are scarce, many patients have limited access or fail to complete treatment. Objectives: To determine if a CBT-CP program that personalizes patient treatment using reinforcement learning, a field of artificial intelligence (AI), and interactive voice response (IVR) calls is noninferior to standard telephone CBT-CP and saves therapist time. Design, Setting, and Participants: This was a randomized noninferiority, comparative effectiveness trial including 278 patients with chronic back pain from the Department of Veterans Affairs health system (recruitment and data collection from July 11, 2017-April 9, 2020). More patients were randomized to the AI-CBT-CP group than to the control (1.4:1) to maximize the system's ability to learn from patient interactions. Interventions: All patients received 10 weeks of CBT-CP. For the AI-CBT-CP group, patient feedback via daily IVR calls was used by the AI engine to make weekly recommendations for either a 45-minute or 15-minute therapist-delivered telephone session or an individualized IVR-delivered therapist message. Patients in the comparison group were offered 10 therapist-delivered telephone CBT-CP sessions (45 minutes/session). Main Outcomes and Measures: The primary outcome was the Roland Morris Disability Questionnaire (RMDQ; range 0-24), measured at 3 months (primary end point) and 6 months. Secondary outcomes included pain intensity and pain interference. Consensus guidelines were used to identify clinically meaningful improvements for responder analyses (eg, a 30% improvement in RMDQ scores and pain intensity). Data analyses were performed from April 2021 to May 2022. Results: The study population included 278 patients (mean [SD] age, 63.9 [12.2] years; 248 [89.2%] men; 225 [81.8%] White individuals). The 3-month mean RMDQ score difference between AI-CBT-CP and standard CBT-CP was -0.72 points (95% CI, -2.06 to 0.62) and the 6-month difference was -1.24 (95% CI, -2.48 to 0); noninferiority criterion were met at both the 3- and 6-month end points (P < .001 for both). A greater proportion of patients receiving AI-CBT-CP had clinically meaningful improvements at 6 months as indicated by RMDQ (37% vs 19%; P = .01) and pain intensity scores (29% vs 17%; P = .03). There were no significant differences in secondary outcomes. Pain therapy using AI-CBT-CP required less than half of the therapist time as standard CBT-CP. Conclusions and Relevance: The findings of this randomized comparative effectiveness trial indicated that AI-CBT-CP was noninferior to therapist-delivered telephone CBT-CP and required substantially less therapist time. Interventions like AI-CBT-CP could allow many more patients to be served effectively by CBT-CP programs using the same number of therapists. Trial Registration: ClinicalTrials.gov Identifier: NCT02464449.

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.

If you personalize it, will they use it?: Self-reported and observed use of a tailored, internet-based pain self-management program.

Little is known about how individuals with chronic pain use tailored internet-based interventions. This study is the first to compare self-reported skill module use to observed module access and to examine each of these in relationship to tailored recommendations to access specific content. Participants (N = 58) enrolled in a 10-week trial of the Pain EASE program, a tailored internet-based intervention that includes 10 pain self-management skill modules. Participants completed a "Self-Assessment," which was used to provide a "Personalized Plan" that encouraged accessing specific modules. Participants self-reported module use during weekly data collection telephone calls. Program log data were extracted to capture "observed" module use during the trial period. Findings indicated significantly greater self-reported use of the Pain EASE modules compared to observed access with log data. Further, log data revealed that participants accessed less than half of the modules recommended to them via tailoring.

Taking ACTION to Reduce Pain: a Randomized Clinical Trial of a Walking-Focused, Proactive Coaching Intervention for Black Patients with Chronic Musculoskeletal Pain.

BACKGROUND: Black patients in the USA are disproportionately affected by chronic pain, yet there are few interventions that address these disparities. OBJECTIVE: To determine whether a walking-focused, proactive coaching intervention aimed at addressing contributors to racial disparities in pain would improve chronic pain outcomes among Black patients compared to usual care. DESIGN: Randomized controlled trial with masked outcome assessment ( Clinicaltrials.gov : NCT01983228). PARTICIPANTS: Three hundred eighty Black patients at the Atlanta VA Health Care System with moderate to severe chronic back, hip, or knee pain. INTERVENTION: Six telephone coaching sessions over 8-14 weeks, proactively delivered, using action planning and motivational interviewing to increase walking, or usual care. MAIN MEASURES: Primary outcome was a 30% improvement in pain-related physical functioning (Roland Morris Disability Questionnaire [RMDQ]) over 6 months among Black patients, using intention-to-treat. Secondary outcomes were improvements in pain intensity and interference, depression, anxiety, global impression of change in pain, and average daily steps. KEY RESULTS: The intervention did not produce statistically significant effects on the primary outcome (at 6 months, 32.4% of intervention participants had 30% improvement on the RMDQ vs. 24.7% of patients in usual care; aOR=1.61, 95% CI, 0.94 to 2.77), nor on other secondary outcomes assessed at 6 months, with the exception that intervention participants reported more favorable changes in pain relative to usual care (mean difference=-0.54, 95% CI, -0.85 to -0.23). Intervention participants also experienced a significant reduction in pain intensity and pain interference over 3 months (mean difference=-0.55, 95% CI, -0.88 to -0.22). CONCLUSIONS: A novel intervention to improve chronic pain among Black patients did not produce statistically significant improvements on the primary outcome relative to usual care. More intensive efforts are likely required among this population, many of whom were economically disadvantaged and had mental health comorbidities and physical limitations. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT01983228.

Risk Factors Associated with Healthcare Utilization for Spine Pain.

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 2-year baseline observation period, 16.5% (n = 54,852) had a new episode of care during the following 2-year observation period. Of those 54,852 veterans, 37,025 had an outpatient visit data during the final 2-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 2-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.

A randomized controlled trial of cognitive behavioral therapy compared with diabetes education for diabetic peripheral neuropathic pain.

A randomized controlled trial compared cognitive behavioral therapy (CBT) and diabetes education (ED) as an adjunctive treatment for diabetic peripheral neuropathic pain (DPNP). We examined change from baseline to 12- and 36-week follow-up in overall pain intensity (NRS), neuropathic pain intensity/quality, pain interference, and mental health functioning, among others. Although CBT participants demonstrated improvement in pain intensity NRS, there were no between-condition differences at either follow-up. CBT reduced neuropathic pain intensity at 12-weeks more than ED. At 36-weeks, CBT was superior to ED for improving pain interference and mental health functioning. Results provide evidence of benefit of CBT for DPNP.ClinicalTrials.gov Identifier: NCT00830011.

Optimizing the Impact of Pragmatic Clinical Trials for Veteran and Military Populations: Lessons From the Pain Management Collaboratory.

Pragmatic clinical trials (PCTs) are well-suited to address unmet healthcare needs, such as those arising from the dual public health crises of chronic pain and opioid misuse, recently exacerbated by the COVID-19 pandemic. These overlapping epidemics have complex, multifactorial etiologies, and PCTs can be used to investigate the effectiveness of integrated therapies that are currently available but underused. Yet individual pragmatic studies can be limited in their reach because of existing structural and cultural barriers to dissemination and implementation. The National Institutes of Health, Department of Defense, and Department of Veterans Affairs formed an interagency research partnership, the Pain Management Collaboratory. The partnership combines pragmatic trial design with collaborative tools and relationship building within a large network to advance the science and impact of nonpharmacological approaches and integrated models of care for the management of pain and common co-occurring conditions. The Pain Management Collaboratory team supports 11 large-scale, multisite PCTs in veteran and military health systems with a focus on team science with the shared aim that the "whole is greater than the sum of the parts." Herein, we describe this integrated approach and lessons learned, including incentivizing all parties; proactively offering frequent opportunities for problem-solving; engaging stakeholders during all stages of research; and navigating competing research priorities. We also articulate several specific strategies and their practical implications for advancing pain management in active clinical, "real-world," settings.

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.

Nonpharmacologic Treatments for Opioid Reduction in Patients With Advanced Chronic Kidney Disease.

Opioid analgesics carry risk for serious health-related harms in patients with advanced chronic kidney disease (CKD) and end-stage kidney disease. In the general population with chronic noncancer pain, there is some evidence that opioid reduction or discontinuation is associated with improved pain outcomes; however, tapering opioids abruptly or without providing supportive interventions can lead to physical and psychological harms and relapse of opioid use. There is emerging evidence that nonpharmacologic treatments such as psychosocial interventions, acupuncture, and interdisciplinary pain management programs are effective approaches to support opioid dose reduction in patients experiencing persistent pain, but research in this area still is relatively new. This review describes the current evidence for nonpharmacologic interventions to support opioid reduction in non-CKD patients with pain and discusses the application of the available evidence to patients with advanced CKD who are prescribed opioids to manage pain.

Incorporating walking into cognitive behavioral therapy for chronic pain: safety and effectiveness of a personalized walking intervention.

We examined the effectiveness and safety of a walking program offered as part of cognitive behavioral therapy for chronic pain (CBT-CP). Participants were randomized to 10 weeks of CBT-CP, delivered either in person or by interactive voice response. Participants reported pedometer-measured step counts daily throughout treatment and received a weekly goal to increase their steps by 10% over the prior week's average. Walking-related adverse events (AEs) were assessed weekly. Participants (n = 125) were primarily male (72%), and white (80%) with longstanding pain (median: 11 years). There was no significant difference between treatment groups in rate of change in daily steps, but there was a significant increase in steps from baseline to treatment termination in the combined study sample (1648 steps (95% CI 1063-2225)). Participants classified as active doubled. AEs were mostly minor and temporary. Treatment was effective and safe whether the program was delivered in-person or remotely.Trial registration number: clinicaltrials.gov identifier: NCT01025752.

Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain.

Internet-based interventions for chronic pain have demonstrated efficacy and may address access barriers to care. Participant characteristics have been shown to affect engagement with these programs; however, limited information is available about the relationship between participant characteristics and engagement with internet-based programs for self-management of chronic pain. The current study examined relationships between demographic and clinical characteristics and engagement with the Pain EASE program, a self-directed, internet-based cognitive behavioral therapy intervention for veterans with chronic low back pain (cLBP). Veterans with cLBP were enrolled in a 10 week trial of the Pain EASE program. Engagement measures included the number of logins, access to coping skill modules, and completed study staff-initiated weekly check-in calls. Regression analyses were conducted to identify significant predictors of engagement from hypothesized predictors (e.g., race/ethnicity, age, depressive symptom severity, and pain interference). Participants (N = 58) were 93% male, 60.3% identified as White, and had a mean age of 54.5 years. Participants logged into the program a median of 3.5 times, accessed a median of 2 skill modules, and attended a median of 6 check-in calls. Quantile regression revealed that, at the 50th percentile, non-White-identified participants accessed fewer modules than White-identified participants (p = .019). Increased age was associated with increased module use (p = .001). No clinical characteristics were significantly associated with engagement measures. White-identified race/ethnicity and increased age were associated with greater engagement with the Pain EASE program. Results highlight the importance of defining and increasing engagement in internet-delivered pain care.