Increasing buprenorphine access for patients with chronic pain: a quality improvement initiative.

OBJECTIVE: Buprenorphine is effective for chronic pain and safer than full-agonist opioids; however, limited education about and support for buprenorphine can result in under-prescribing in primary care and reduced access in specialty pain clinics. The purpose of this quality improvement initiative was to optimize and evaluate procedures for transferring patients stable on buprenorphine for chronic pain from a specialty pain clinic back to primary care. SETTING: Eight primary care clinics within a Veterans Health Administration health care system. METHODS: A standard operating procedure for facilitated transfer of prescribing was developed after a needs assessment and was introduced during an educational session with primary care providers, and providers completed a survey assessing attitudes about buprenorphine prescribing. Success of the initiative was measured through the number of patients transferred back to primary care over the course of 18 months. RESULTS: Survey results indicated that primary care providers with previous experience prescribing buprenorphine were more likely to view buprenorphine prescribing for pain as within the scope of their practice and to endorse feeling comfortable managing a buprenorphine regimen. Providers identified systemic and educational barriers to prescribing, and they identified ongoing support from specialty pain care and primary care as a facilitator of prescribing. Metrics suggested that the standard operating procedure was generally successful in transferring and retaining eligible patients in primary care. CONCLUSION: This quality improvement initiative suggests that a facilitated transfer procedure can be useful in increasing buprenorphine prescribing for pain in primary care. Future efforts to increase primary care provider comfort and address systemic barriers to buprenorphine prescribing are needed.

Paths Forward for Clinicians Amidst the Rise of Unregulated Clinical Decision Support Software: Our Perspective on NarxCare.

Amidst the US overdose epidemic, policymakers, law enforcement agencies, and healthcare institutions have contributed to a decrease in opioid prescribing, assuming reduced mortality would result-an assumption we now understand was oversimplified. At this intersection between public health and public safety domains as they relate to opioid prescribing, unregulated and proprietary clinical decision support tools have emerged without rigorous external validation or public data sharing. In the following piece, we discuss challenges facing clinicians practicing medicine amidst unregulated clinical decision support tools, using the case of Bamboo Health's NarxCare-a prescription drug monitoring program-based analytics platform marketed as a clinical decision support tool-that is already positioned to impact over 1 billion patient encounters annually. We argue that sufficient evidence does not yet exist to support NarxCare's wide implementation, and that clinical decision support tools like NarxCare have flourished in recent years due to a lack of federal regulatory oversight and shielding by their proprietary formulas, which have facilitated their unchecked and outsized influence on patient care. Finally, we suggest specific actions by federal regulatory agencies, healthcare institutions, individual clinicians, and researchers, as well as academic journals, to mitigate potential harms associated with unregulated clinical decision support tools.

Integration of Health Coaches in a Whole Health Team Model of Chronic Pain Care: a Qualitative Study.

OBJECTIVE: Health coaching has shown promise in helping patients manage their chronic disease and in improving health outcomes, yet the implementation of health coaching in healthcare systems is understudied. Further, evidence suggests that interdisciplinary care teams may be more effective in treating chronic pain than usual care. As such, we sought to examine the benefits and drawbacks to embedding health coaches within interdisciplinary pain care teams ("Whole Health Teams"). DESIGN: As part of a multisite clinical trial (at five Veterans Health Administration sites) investigating the effectiveness of a Whole Health Team (WHT) approach to care for patients with chronic pain, qualitative interviews gathered data on how the experience of treating patients in the WHT differed from the experience treating patients outside the WHT, as well as provider experiences coordinating patient care within the WHT. PARTICIPANTS: Twenty-two WHT members, study investigators, and study coordinators. APPROACH: Data were analyzed using a rapid analysis approach. RESULTS: Overall, stakeholders perceived considerable synergy within the interdisciplinary pain care team. Each provider brought a different perspective to the patient's health concerns, which stakeholders felt was valuable and increased patient progress towards goals. The team model was also viewed as efficient because everyone was committed to working together and communicating as a team. Logistically, however, stakeholders noted challenges to working as a team, especially regarding patient goal setting. Furthermore, multiple stakeholders believed the care team model required a high degree of dedication to teamwork and communication among its members to be successful. CONCLUSIONS: Embedding health coaches within interdisciplinary pain care teams may improve care processes and accelerate patient progress. Successful implementation would require adequate training, role clarification, and expectation setting to facilitate good communication across all care team members. Additional research is needed to evaluate the clinical outcomes of integrating health coaches on WHTs versus other implementation approaches.

Are opioids effective analgesics and is physiological opioid dependence benign? Revising current assumptions to effectively manage long-term opioid therapy and its deprescribing.

A re-examination of clinical principles of long-term opioid therapy (LTOT) for chronic pain is long overdue amid the ongoing opioid crisis. Most patients on LTOT report ineffectiveness (poor pain control, function and health) but still find deprescribing challenging. Although prescribed as analgesics, opioids more likely provide pain relief primarily through reward system actions (enhanced relief and motivation) and placebo effect and less through antinociceptive effects. The unavoidable physiologic LTOT dependence can automatically lead to a paradoxical worsening of pain, disability and medical instability (maladaptive opioid dependence) without addiction due to allostatic opponent neuroadaptations involving reward/antireward and nociceptive/antinociceptive systems. This opioid-induced chronic pain syndrome (OICP) can persist/progress whether LTOT dose is maintained at the same level, increased, decreased or discontinued. Current conceptualization of LTOT as a straightforward long-term analgesic therapy appears incongruous in view of the complex mechanisms of opioid action, LTOT dependence and OICP. LTOT can be more appropriately conceptualized as therapeutic induction and maintenance of an adaptive LTOT dependence for functional improvement irrespective of analgesic benefits. Adaptive LTOT dependence should be ideally used for a limited time to achieve maximum functional recovery and deprescribed while maintaining functional gains. Patients on LTOT should be regularly re-evaluated to identify if maladaptive LTOT dependence with OICP has diminished any functional gains or leads to ineffectiveness. Ineffective LTOT (with maladaptive LTOT dependence) should be modified to make it safer and more effective. An adequately functional life without opioids is the ideal healthy long-term goal for both LTOT initiation and LTOT modification.

Changes in opioid prescribing in veterans with headache during the COVID-19 pandemic: A regression discontinuity in time analysis.

OBJECTIVE: To determine changes in opioid prescribing among veterans with headaches during the coronavirus disease of 2019 (COVID-19) pandemic by comparing the stay-at-home phase (March 15 to May 30, 2020) and the reopening phase (May 31 to December 31, 2020). BACKGROUND: Opioid prescribing for chronic pain has declined substantially since 2016; however, changes in opioid prescribing during the COVID-19 pandemic among veterans with headaches remain unknown. METHODS: This retrospective cohort study utilized regression discontinuity in time and difference-in-differences design to analyze veterans aged ≥18 years with a previous diagnosis of headache disorders and an outpatient visit to the Veterans Health Administration (VHA) during the study period. We measured the weekly number of opioid prescriptions, the number of days supplied, the daily dose in morphine milligram equivalents (MMEs), and the number of prescriptions with ≥50 morphine equivalent daily doses (MEDD). RESULTS: A total of 81,376 veterans were analyzed with 589,950 opioid prescriptions. The mean (SD) age was 51.6 (13.5) years, 57,242 (70.3%) were male, and 53,464 (65.7%) were White. During the pre-pandemic period, 323.6 opioid prescriptions (interquartile range 292.1-325.8) were dispensed weekly, with an median (IQR) of 24.1 (24.0-24.4) days supplied and 31.8 (31.2-32.5) MMEs. Transition to stay-at-home was associated with a 7.7% decrease in the number of prescriptions (incidence rate ratio [IRR] 1.077, 95% confidence interval [CI] 0.866-0.984) and a 9.8% increase in days supplied (IRR 1.098, 95% CI 1.078-1.119). Similar trends were observed during the reopening period. Subgroup analysis among veterans on long-term opioid therapy also revealed 1.7% and 1.4% increases in days supplied during the stay-at-home (IRR 1.017, 95% CI 1.009-1.025) and reopening phase (IRR 1.014, 95% CI 1.007-1.021); however, changes in the total number of prescriptions, MME/day, or the number of prescriptions >50 MEDD were insignificant. CONCLUSION: Prescription opioid access was maintained for veterans within VHA during the pandemic. The de-escalation of opioid prescribing observed prior to the pandemic was not seen in our study.

Patient-Reported Bothersome Symptoms Attributed to Alcohol Use Among People With and Without HIV.

Helping people with HIV (PWH) and without HIV (PWoH) understand the relationship between physical symptoms and alcohol use might help motivate them to decrease use. In surveys collected in the Veterans Aging Cohort Study from 2002 to 2018, PWH and PWoH were asked about 20 common symptoms and whether they thought any were caused by alcohol use. Analyses were restricted to current alcohol users (AUDIT-C > 0). We applied generalized estimating equations. The outcome was having any Symptoms Attributed to Alcohol use (SxAA). Primary independent variables were each of the 20 symptoms and HIV status. Compared to PWoH, PWH had increased odds of SxAA (OR 1.54; 95% CI 1.27, 1.88). Increased AUDIT-C score was also associated with SxAA (OR 1.32; 95% CI 1.28, 1.36), as were trouble remembering, anxiety, and weight loss/wasting. Evidence that specific symptoms are attributed to alcohol use may help motive people with and without HIV decrease their alcohol use.

Cannabis use, pain interference, and prescription opioid receipt among persons with HIV: a target trial emulation study.

Concomitant with expanded legalization, cannabis is increasingly used to treat chronic pain among persons with HIV (PWH), despite equivocal benefit in research limited by small sample sizes and short duration of follow-up. To address these limitations, among a sample of PWH with pain interference enrolled in the Veterans Aging Cohort Study, we performed a target trial emulation study to compare the impact of four cannabis use strategies on pain interference. Among those receiving long-term opioid therapy (LTOT), we also explored impact of these strategies on ≥ 25% LTOT dose reduction. Among the analytic sample (N = 1284), the majority were men with a mean age of 50. Approximately 31% used cannabis and 12% received LTOT at baseline. Adjusting for demographic and clinical factors, cannabis use in any of 4 longitudinal patterns was not associated with resolved pain interference over 12- to 24-month follow-up. Among 153 participants receiving LTOT at baseline, cannabis use at both baseline and follow-up was negatively associated with LTOT dose reduction compared to no use at both baseline and follow-up. These findings support other observational studies finding no association between cannabis use and improved chronic pain or LTOT reduction among PWH.

Sociodemographic and clinical correlates of gabapentin receipt with and without opioids among a national cohort of patients with HIV.

Gabapentin is commonly prescribed for chronic pain, including to patients with HIV (PWH). There is growing concern regarding gabapentin's potential for harm, particularly in combination with opioids. Among PWH, we examined factors associated with higher doses of gabapentin receipt and determined if receipt varied by opioid use. We examined data from the Veterans Aging Cohort Study, a national prospective cohort including PWH, from 2002 through 2017. Covariates included prescribed opioid dose, self-reported past year opioid use, and other sociodemographic and clinical variables. We used multinomial logistic regression to determine independent predictors of gabapentin receipt. Among 3,702 PWH, 902 (24%) received any gabapentin during the study period at a mean daily dose of 1,469 mg. In the multinomial model, high-dose gabapentin receipt was associated with high-dose benzodiazepine receipt (adjusted odds ratio [aOR], 95% confidence interval [CI]= 1.53, [1.03-2.27]), pain interference (1.65 [1.39-1.95]), and hand or foot pain (1.81, [1.45-2.26]). High-dose gabapentin receipt was associated with prescribed high-dose opioids receipt (2.66 [1.95-3.62]) but not self-reported opioid use (1.03 [0.89-1.21]). PWH prescribed gabapentin at higher doses are more likely to receive high-dose opioids and high-dose benzodiazepines, raising safety concerns.

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.

Perceived Pain and Smoking Interrelations Among Veterans with Chronic Pain Enrolled in a Smoking Cessation Trial.

INTRODUCTION: The Pain and Smoking Inventory (PSI) measures patients' perceived interrelations of their pain and smoking behavior, and it comprises three conceptually distinct domains: smoking to cope with pain (PSI-Cope), pain as a motivator of smoking (PSI-Motivate), and pain as a barrier to cessation (PSI-Barrier). Associations between PSI scores and pain interference and self-efficacy to quit smoking, two measures that can affect cessation outcomes, remain unclear. METHODS: We conducted a secondary analysis of baseline data from 371 veterans with chronic pain (88% male, Medianage =60) enrolled in a randomized smoking cessation trial. We used sequential multivariate regression models to examine associations between the three PSI domains and pain interference / self-efficacy. RESULTS: Of 371 veterans who completed baseline surveys, 88% were male, with a median age of 60 years. PSI-Motivate scores were positively associated with pain interference (beta [B]: 0.18, 95% confidence interval [CI]: 0.02 to 0.34). PSI-Barrier subscores were negatively associated with self-efficacy (B: -0.23, 95% CI: -0.36 to -0.10). CONCLUSION: Findings suggest that individuals who hold maladaptive perceptions of pain-smoking interrelations could be more likely to endorse higher pain interference and lower self-efficacy-two established predictors of cessation outcomes. Moreover, each PSI subscale demonstrated unique relationships with the dependent variables, and our results provided support for a three-factor structure. These findings further demonstrate that the PSI comprises three conceptually and empirically distinct domains; future research should evaluate the clinical utility of assessing each domain in relation to cessation outcomes.

Impact of complex, partially nested clustering in a three-arm individually randomized group treatment trial: A case study with the wHOPE trial.

BACKGROUND/AIMS: When participants in individually randomized group treatment trials are treated by multiple clinicians or in multiple group treatment sessions throughout the trial, this induces partially nested clusters which can affect the power of a trial. We investigate this issue in the Whole Health Options and Pain Education trial, a three-arm pragmatic, individually randomized clinical trial. We evaluate whether partial clusters due to multiple visits delivered by different clinicians in the Whole Health Team arm and dynamic participant groups due to changing group leaders and/or participants across treatment sessions during treatment delivery in the Primary Care Group Education arm may impact the power of the trial. We also present a Bayesian approach to estimate the intraclass correlation coefficients. METHODS: We present statistical models for each treatment arm of Whole Health Options and Pain Education trial in which power is estimated under different intraclass correlation coefficients and mapping matrices between participants and clinicians or treatment sessions. Power calculations are based on pairwise comparisons. In practice, sample size calculations depend on estimates of the intraclass correlation coefficients at the treatment sessions and clinician levels. To accommodate such complexities, we present a Bayesian framework for the estimation of intraclass correlation coefficients under different participant-to-session and participant-to-clinician mapping scenarios. We simulated continuous outcome data based on various clinical scenarios in Whole Health Options and Pain Education trial using a range of intraclass correlation coefficients and mapping matrices and used Gibbs samplers with conjugate priors to obtain posteriors of the intraclass correlation coefficients under those different scenarios. Posterior means and medians and their biases are calculated for the intraclass correlation coefficients to evaluate the operating characteristics of the Bayesian intraclass correlation coefficient estimators. RESULTS: Power for Whole Health Team versus Primary Care Group Education is sensitive to the intraclass correlation coefficient in the Whole Health Team arm. In these two arms, an increased number of clinicians, more evenly distributed workload of clinicians, or more homogeneous treatment group sizes leads to increased power. Our simulation study for the intraclass correlation coefficient estimation indicates that the posterior mean intraclass correlation coefficient estimator has less bias when the true intraclass correlation coefficients are large (i.e. 0.10), but when the intraclass correlation coefficient is small (i.e. 0.01), the posterior median intraclass correlation coefficient estimator is less biased. CONCLUSION: Knowledge of intraclass correlation coefficients and the structure of clustering are critical to the design of individually randomized group treatment trials with partially nested clusters. We demonstrate that the intraclass correlation coefficient of the Whole Health Team arm can affect power in the Whole Health Options and Pain Education trial. A Bayesian approach provides a flexible procedure for estimating the intraclass correlation coefficients under complex scenarios. More work is needed to educate the research community about the individually randomized group treatment design and encourage publication of intraclass correlation coefficients to help inform future trial designs.

Validity of Incident Opioid Use Disorder (OUD) Diagnoses in Administrative Data: a Chart Verification Study.

BACKGROUND: An important strategy to address the opioid overdose epidemic involves identifying people at elevated risk of overdose, particularly those with opioid use disorder (OUD). However, it is unclear to what degree OUD diagnoses in administrative data are inaccurate. OBJECTIVE: To estimate the prevalence of inaccurate diagnoses of OUD among patients with incident OUD diagnoses. SUBJECTS: A random sample of 90 patients with incident OUD diagnoses associated with an index in-person encounter between October 1, 2016, and June 1, 2018, in three Veterans Health Administration medical centers. DESIGN: Direct chart review of all encounter notes, referrals, prescriptions, and laboratory values within a 120-day window before and after the index encounter. Using all available chart data, we determined whether the diagnosis of OUD was likely accurate, likely inaccurate, or of indeterminate accuracy. We then performed a bivariate analysis to assess demographic or clinical characteristics associated with likely inaccurate diagnoses. KEY RESULTS: We identified 1337 veterans with incident OUD diagnoses. In the chart verification subsample, we assessed 26 (29%) OUD diagnoses as likely inaccurate; 20 due to systems error and 6 due to clinical error; additionally, 8 had insufficient information to determine accuracy. Veterans with likely inaccurate diagnoses were more likely to be younger and prescribed opioids for pain. Clinical settings associated with likely inaccurate diagnoses were non-mental health clinical settings, group visits, and non-patient care settings. CONCLUSIONS: Our study identified significant levels of likely inaccurate OUD diagnoses among veterans with incident OUD diagnoses. The majority of these cases reflected readily addressable systems errors. The smaller proportion due to clinical errors and those with insufficient documentation may be addressed by increased training for clinicians. If these inaccuracies are prevalent throughout the VHA, they could complicate health services research and health systems responses.

Tailored to Fit: How an Implementation Framework Can Support Pragmatic Pain Care Trial Adaptation for Diverse Veterans Affairs Clinical Settings.

BACKGROUND: Veterans Affairs (VA) has rolled out a holistic, multicomponent Whole Health care model nationwide, yet no pragmatic trials have been conducted in real-world clinical settings to compare its effectiveness against other evidence-based approaches for chronic pain management in veterans. OBJECTIVES: We describe the adaptation of the first large pragmatic randomized controlled trial of the Whole Health model for chronic pain care for diverse VA clinical settings. RESEARCH DESIGN: Informed by the Promoting Action on Research Implementation in Health Systems implementation framework, we conducted qualitative semistructured interviews to obtain feedback on trial design from VA leadership, frontline clinicians, and veterans with chronic pain at 5 VA enrollment sites. Next, we convened in-person evidence-based quality improvement (EBQI) meetings with study stakeholders (including frontline clinicians and administrators) at each site to discuss study design; review interview themes; and identify site-specific barriers, facilitators, and approaches to implementation. Ethnographic observations from EBQI meetings provided additional insight into implementation strategies. SUBJECTS: Seventy-four veteran and VA staff stakeholders were interviewed; 71 stakeholders participated in EBQI meetings. RESULTS: At each site, unique clinical contexts and varying resources for Whole Health and pain care delivery affected plans for trial implementation. We present examples of local adaptations that emerged through the formative evaluation process to facilitate implementation and yield a more pragmatic trial design. CONCLUSIONS: A systematic formative evaluation can facilitate engagement and buy-in of study stakeholders. Locally tailored pragmatic implementation strategies may improve the likelihood of successful trial execution as well as future implementation of evidence-based pain care approaches in real-world clinical settings.

Complex Persistent Opioid Dependence with Long-term Opioids: a Gray Area That Needs Definition, Better Understanding, Treatment Guidance, and Policy Changes.

The multitude of treatments available for tens of millions of US adults with moderate/severe chronic pain have limited efficacy. Long-term opioid therapy (LTOT) is a widely available option for controlling pain among patients with chronic pain refractory to other treatments. The recent recognition of LTOT inefficacy and complications has led to more frequent opioid tapering, which in turn has revealed its own set of complications. The occurrence of the same set of symptoms-worsening pain, declining function, and clinical instability-in contrasting contexts of LTOT ineffectiveness and opioid tapering has led to increasing recognition of the utility of complex persistent opioid dependence (CPOD), a clinically distinct but biologically similar state compared with opioid use disorder as an explanatory diagnosis/heuristic. Recent guidelines for LTOT tapering have incorporated buprenorphine treatment based on CPOD concepts as a recommended treatment for problems due to opioid tapering with limited supportive evidence. The increasing utilization of buprenorphine for both LTOT ineffectiveness and opioid tapering problems raises the urgent need for a review of the clinical definition, mechanisms, and treatment of CPOD and pertinent policies. In this manuscript, we discuss various issues related to CPOD that requires further clarification through research and policy development.

A Research Agenda for Advancing Strategies to Improve Opioid Safety: Findings from a VHA State of the Art Conference.

US military Veterans have been disproportionately impacted by the US opioid overdose crisis. In the fall of 2019, the Veterans Health Administration (VHA) convened a state-of-the-art (SOTA) conference to develop research priorities for advancing the science and clinical practice of opioid safety, including both use of opioid analgesics and managing opioid use disorder. We present the methods and consensus recommendations from the SOTA. A core group of researchers and VA clinical stakeholders defined three areas of focus for the SOTA: managing opioid use disorder, long-term opioid therapy for pain including consideration for opioid tapering, and treatment of co-occurring pain and substance use disorders. The SOTA participants divided into three workgroups and identified key questions and seminal studies related to those three areas of focus. The strongest recommendations included testing implementation strategies in the VHA for expanding access to medication treatment for opioid use disorder, testing collaborative tapering programs for patients prescribed long-term opioids, and larger trials of behavioral and exercise/movement interventions for pain among patients with substance use disorders.

Association of prescription opioids and incident cardiovascular risk factors among post-9/11 Veterans.

Reports indicate that long-term opioid therapy is associated with cardiovascular disease (CVD). Using VA electronic health record data, we measured the impact of opioid use on the incidence of modifiable CVD risk factors. We included Veterans whose encounter was between October 2001 to November 2014. We identified Veterans without CVD risk factors during our baseline period, defined as the date of first primary care visit plus 365 days. The main exposure was opioid prescriptions (yes/no, long-term (i.e. ≥90 days) vs no opioid, and long-term vs short-term (i.e. <90 days)), which was time-updated yearly from the end of the baseline period to February 2015. The main outcome measures were incident CVD risk factors (hypertension, dyslipidemia, diabetes, obesity, and current smoking). After excluding prevalent CVD risk factors, we identified 308,015 Veterans. During the first year of observation, 12,725 (4.1%) Veterans were prescribed opioids, including 2028 (0.6%) with long-term exposure. Compared to patients without opioid use, Veterans with opioid use were more likely to have CVD risk factors. Those with long-term exposure were at higher risk of having hypertension (adjusted average hazards ratio [HR] 1.45, 99% confidence interval [CI] 1.33-1.59), dyslipidemia (HR 1.45, 99% CI 1.35-156), diabetes (HR 1.30, 99% CI 1.07-1.57), current smoking status (HR 1.34, 99% CI 1.24-1.46), and obesity (HR 1.22, 99% CI 1.12-1.32). Compared to short-term exposure, long-term had higher risk of current smoking status (HR 1.12, 99% CI 1.01-1.24). These findings suggest potential benefit to screening and surveillance of CVD risk factors for patients prescribed opioids, especially long-term opioid therapy.

Clinician Knowledge, Attitudes, and Practice Regarding Cannabis: Results from a National Veterans Health Administration Survey.

BACKGROUND: Cannabis is increasingly available and used for medical and recreational purposes, but few studies have assessed provider knowledge, attitudes, and practice regarding cannabis. METHODS: We administered a 47-item electronic survey to assess nationwide Veterans Health Administration (VHA) clinician knowledge, beliefs, attitudes, and practice regarding patients' use of cannabis. RESULTS: We received 249 completed surveys from 39 states and the District of Columbia. Fifty-five percent of respondents were female, 74% were white, and the mean age was 50 years. There were knowledge gaps among a substantial minority of respondents in specific areas: terminology, psychoactive effects of cannabis components, VHA policy, and evidence regarding benefits and harms of cannabis. Most respondents were likely or very likely to plan to taper opioids if urine drug testing was positive for tetra-hydro cannabinol (THC; 73%). A significantly greater proportion of respondents from states in which cannabis is illegal for any purpose (odds ratio [OR] = 4.9, 95% confidence interval [CI] = 2.0-10.8) or is recreationally illegal (OR = 5.0, 95% CI = 2.4-10.8) reported being likely or very likely to taper opioids as compared with respondents from states in which cannabis is legal for medical and recreational purposes. CONCLUSIONS: Among the sample, we found knowledge gaps, areas of discomfort discussing key aspects of cannabis use with their patients, and variation in practice regarding opioids in patients also using THC. These results suggest a need for more widespread clinician education about cannabis, as well as an opportunity to develop more robust guidance and evidence regarding management of patients using prescription opioids and cannabis concomitantly.

Disagreement and Uncertainty Among Experts About how to Respond to Marijuana Use in Patients on Long-term Opioids for Chronic Pain: Results of a Delphi Study.

BACKGROUND: Marijuana use is common among patients on long-term opioid therapy (LTOT) for chronic pain, but there is a lack of evidence to guide clinicians' response. OBJECTIVE: To generate expert consensus about responding to marijuana use among patients on LTOT. DESIGN: Analysis from an online Delphi study. SETTING/SUBJECTS: Clinician experts in pain and opioid management across the United States. METHODS: Participants generated management strategies in response to marijuana use without distinction between medical and nonmedical use, then rated the importance of each management strategy from 1 (not at all important) to 9 (extremely important). A priori rules for consensus were established, and disagreement was explored using cases. Thematic analysis of free-text responses examined factors that influenced participants' decision-making. RESULTS: Of 42 participants, 64% were internal medicine physicians. There was consensus that it is not important to taper opioids as an initial response to marijuana use. There was disagreement about the importance of tapering opioids if there is a pattern of repeated marijuana use without clinical suspicion for a cannabis use disorder (CUD) and consensus that tapering is of uncertain importance if there is suspicion for CUD. Three themes influenced experts' perceptions of the importance of tapering: 1) benefits and harms of marijuana for the individual patient, 2) a spectrum of belief about the overall riskiness of marijuana use, and 3) variable state laws or practice policies. CONCLUSIONS: Experts disagree and are uncertain about the importance of opioid tapering for patients with marijuana use. Experts were influenced by patient factors, provider beliefs, and marijuana policy, highlighting the need for further research.

The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study.

OBJECTIVE: To examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain). SETTING: Administrative and electronic health record data from the Veterans Health Administration (VHA). SUBJECTS: A national cohort of US military veterans with MSDs in VHA care during 2001-2012 (N = 1,759,338). METHODS: These cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics. RESULTS: The sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21-1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups. CONCLUSIONS: There was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis.

Stakeholder Engagement in Pragmatic Clinical Trials: Emphasizing Relationships to Improve Pain Management Delivery and Outcomes.

BACKGROUND: The NIH-DOD-VA Pain Management Collaboratory (PMC) supports 11 pragmatic clinical trials (PCTs) on nonpharmacological approaches to management of pain and co-occurring conditions in U.S. military and veteran health organizations. The Stakeholder Engagement Work Group is supported by a separately funded Coordinating Center and was formed with the goal of developing respectful and productive partnerships that will maximize the ability to generate trustworthy, internally valid findings directly relevant to veterans and military service members with pain, front-line primary care clinicians and health care teams, and health system leaders. The Stakeholder Engagement Work Group provides a forum to promote success of the PCTs in which principal investigators and/or their designees discuss various stakeholder engagement strategies, address challenges, and share experiences. Herein, we communicate features of meaningful stakeholder engagement in the design and implementation of pain management pragmatic trials, across the PMC. DESIGN: Our collective experiences suggest that an optimal stakeholder-engaged research project involves understanding the following: i) Who are research stakeholders in PMC trials? ii) How do investigators ensure that stakeholders represent the interests of a study's target treatment population, including individuals from underrepresented groups?, and iii) How can sustained stakeholder relationships help overcome implementation challenges over the course of a PCT? SUMMARY: Our experiences outline the role of stakeholders in pain research and may inform future pragmatic trial researchers regarding methods to engage stakeholders effectively.