Rapid implementation of Veterans Health Administration telehealth creative arts therapies: survey evaluation of adoption and adaptation.

BACKGROUND: Creative arts therapies (CAT) are employed throughout the Veterans Health Administration (VHA) and are predominantly delivered in-person. Though telehealth delivery of CAT was used at several VHA facilities to increase services to rural Veterans, due to guidance from the Center for Disease Control and VHA that temporarily suspended or reduced in-person services, there was a large increase of CAT therapists enterprise-wide who adopted telehealth delivery. The aims of this study were to evaluate adoption and adaptation of CAT telehealth delivery and identify related barriers and facilitators. METHODS: We deployed a survey guided by the Consolidated Framework for Implementation Research and administered it via email to all VHA CAT therapists (N = 120). Descriptive statistics were used to summarize data and responses were compared based on therapists' age, years of experience and CAT discipline. Open survey field responses were summarized, qualitatively coded, and analyzed thematically. RESULTS: Most therapists (76%) reported adopting telehealth with 74% each delivering > 50 CAT sessions in the prior year. Therapists adapted interventions or created new ones to be delivered through telehealth. Barriers included: technical challenges, control of the virtual space, and building rapport. Facilitators included added equipment, software, and infrastructure. CAT therapists adapted their session preparation, session content, outcome expectations, and equipment. CAT therapists reported being able to reach more patients and improved access to care with telehealth compared to in person visits. Additional benefits were patient therapeutic effects from attending sessions from home, therapist convenience, and clinician growth. CONCLUSIONS: VHA CAT therapists used their inherent creativity to problem solve difficulties and make adaptations for CAT telehealth adoption. Future studies may explore CAT telehealth sustainment and its effectiveness on clinical processes and outcomes.

Responsiveness of PROMIS and Patient Health Questionnaire (PHQ) Depression Scales in three clinical trials.

BACKGROUND: The PROMIS depression scales are reliable and valid measures that have extensive normative data in general population samples. However, less is known about how responsive they are to detect change in clinical settings and how their responsiveness compares to legacy measures. The purpose of this study was to assess and compare the responsiveness of the PROMIS and Patient Health Questionnaire (PHQ) depression scales in three separate samples. METHODS: We used data from three clinical trials (two in patients with chronic pain and one in stroke survivors) totaling 651 participants. At both baseline and follow-up, participants completed four PROMIS depression fixed-length scales as well as legacy measures: Patient Health Questionnaire 9-item and 2-item scales (PHQ-9 and PHQ-2) and the SF-36 Mental Health scale. We measured global ratings of depression change, both prospectively and retrospectively, as anchors to classify patients as improved, unchanged, or worsened. Responsiveness was assessed with standardized response means, statistical tests comparing change groups, and area-under-curve analysis. RESULTS: The PROMIS depression and legacy scales had generally comparable responsiveness. Moreover, the four PROMIS depression scales of varying lengths were similarly responsive. In general, measures performed better in detecting depression improvement than depression worsening. For all measures, responsiveness varied based on the study sample and on whether depression improved or worsened. CONCLUSIONS: Both PROMIS and PHQ depression scales are brief public domain measures that are responsive (i.e., sensitive to change) and thus appropriate as outcome measures in research as well as for monitoring treatment in clinical practice. Trial registration ClinicalTrials.gov ID: NCT01236521, NCT01583985, NCT01507688.

Opioid Use as a Predictor of Pain Outcomes in Iraq and Afghanistan Veterans with Chronic Pain: Analysis of a Randomized Controlled Trial.

OBJECTIVE: Our objectives were to: 1) assess the relationship between self-reported opioid use and baseline demographics, clinical characteristics and pain outcomes; and 2) examine whether baseline opioid use moderated the intervention effect on outcomes at 9 months. DESIGN: We conducted a secondary analysis of data from the Evaluation of Stepped Care for Chronic Pain (ESCAPE) trial, which found stepped-care to be effective for chronic pain in military veterans. SETTING: A post-deployment clinic and five general medicine clinics at a Veteran Affairs Medical Center. SUBJECTS: In total 241 veterans with chronic musculoskeletal pain; 220 with complete data at 9 months. METHODS: Examination of baseline relationships and multivariable linear regression to examine baseline opioid use as a moderator of pain-related outcomes including Roland Morris Disability Questionnaire (RMDQ), Brief Pain Inventory (BPI) Interference scale, and Graded Chronic Pain Scale (GCPS) at 9 months. RESULTS: Veterans reporting baseline opioid use (n = 80) had significantly worse RMDQ (16.0 ± 4.9 vs. 13.4 ± 4.2, P < .0001), GCPS (68.7 ± 12.0 vs. 65.0 ± 14.4, P = .049), BPI Interference (6.2 ± 2.2 vs. 5.0 ± 2.1, P < .0001), and depression (PHQ-9 12.5 ± 6.2 vs. 10.6 ± 5.7, P = .016) compared to veterans not reporting baseline opioid use. Using multivariable modeling we found that baseline opioid use moderated the intervention effect on pain-related disability (RMDQ) at 9 months (interaction Beta = -3.88, P = .0064) but not pain intensity or interference. CONCLUSIONS: In a stepped-care trial for pain, patients reporting baseline opioid use had greater improvement in pain disability at 9 months compared to patients not reporting opioid use.

Multifocal Pain as a Predictor of Pain Outcomes in Military Veterans with Chronic Musculoskeletal Pain: A Secondary Data Analysis of a Randomized Controlled Trial.

OBJECTIVE: We aimed to examine 1) the relationship between multifocal pain and clinical characteristics, including demographics, pain outcomes, somatic symptoms, health-related quality of life, depression, and anxiety, and 2) whether multifocal pain was independently associated with treatment response. METHODS: We conducted a secondary data analysis on veterans with chronic pain enrolled in the Evaluation of Stepped Care for Chronic Pain (ESCAPE) trial with complete data at 9 months (n = 222). We examined baseline relationships and used multivariable linear regression to examine whether multifocal pain was independently associated with outcomes that included Brief Pain Inventory (BPI) Interference scale and Graded Chronic Pain Scale (GCPS) scores between baseline and 9 months. RESULTS: The sample had a mean BPI Interference score of 5.3 ± 2.2 and a mean GCPS score of 65.6 ± 13.7, 55% had significant depression (Patient Health Questionnaire 9-item depression scale [PHQ-9] score of ≥10), and 42% had significant anxiety (Generalized Anxiety Disorder Scale [GAD-7] score of ≥10). Veterans reporting three or more pain sites (the "more diffuse pain" group) had significantly less improvement on GCPS (b = 4.6, standard error [SE] = 2.3, P = 0.045), BPI Interference (b = 1.0, SE = 0.2, P = 0.0011), and health-related quality of life (Short-Form 36-item scale, Physical Component Summary) (b = 4.1, SE = 1.0, P < 0.0001) than did veterans reporting fewer than three pain sites (the "less diffuse pain" group). More diffuse pain was not associated with changes in PHQ-9 or GAD-7 scores. CONCLUSIONS: Multifocal pain predicted worse pain outcomes between baseline and 9 months in veterans enrolled in a trial for treating chronic musculoskeletal pain.

Fibromyalgia.

Fibromyalgia is characterized by chronic, widespread musculoskeletal pain and associated fatigue, sleep disturbances, and other cognitive and somatic symptoms. For many patients, these symptoms persist for years and lead to frequent health care use; for some, fibromyalgia and its symptoms can be debilitating. Although many treatments are available, management remains challenging. This article highlights the clinical features of fibromyalgia, discusses diagnostic criteria and their evolution, and reviews treatment options.

Opioid prescribing and health outcomes in opioid-naive patients: Analysis of a statewide health information exchange.

BACKGROUND: Widespread use of prescription opioids is associated with adverse outcomes. OBJECTIVE: To identify factors associated with adverse health outcomes and health care use using a statewide health information exchange. METHODS: This is a retrospective cohort study using the Indiana Network for Patient Care. Adult opioid-naive patients who received an opioid prescription between January 2012 and December 2017 were included. The outcomes included (1) a composite outcome of any combination of opioid abuse, dependence, or overdose, (2) all-cause mortality, and (3) health care use. Independent variables included opioid dosage, dispensed amount, days supply, concurrent use of short-acting (SA) and long-acting (LA) opioids, and concurrent use with benzodiazepine or gabapentinoids. Additional variables included patients' age, sex, race, modified Charlson Comorbidity Index score, mental health conditions, and medications for opioid use disorders. Factors associated with composite outcome and mortality were identified using Cox proportional hazards and reported as adjusted hazard ratio (aHR) and 95% CI. Factors associated with health care use were identified using Poisson regression and reported as adjusted incidence rate ratio (aIRR) and 95% CI. RESULTS: 1,328,287 opioid prescriptions were identified for 341,722 patients. Opioid-related factors associated with the composite outcome, mortality, and hospitalizations, respectively, included opioid dosage (aHR 1.003 [95% CI 1.001-1.006]; aHR not applicable; aIRR 1.07 [1.06-1.08]), opioid days supply (aHR 1.03 [1.02-1.03]; aHR 1.009 [1.005-1.014]; aIRR 0.94 [0.92-0.96]), concurrent SA/LA opioids (aHR 2.12 [1.78-2.54]; aHR 1.40 [1.14-1.70]; aIRR 1.40 [1.37-1.42]), and use of benzodiazepines/gabapentinoids (aHR 1.68 [1.38-2.04]; aHR 1.23 [1.01-1.51]; aIRR 1.25 [1.23-1.27]). CONCLUSION: Many factors are associated with poor health outcomes, especially concurrent use of SA and LA opioids and overlapping prescriptions of opioids with benzodiazepines or gabapentinoids. Identification of factors associated with adverse outcomes may help identify patients at risk for poor outcomes and could inform possible interventions.

A National Survey of Patient Completion of Cognitive Behavioral Therapy for Chronic Pain: The Role of Therapist Characteristics, Attempt Rates, and Modification.

The implementation of evidence-based psychotherapies, including patient-level measures such as penetration and rates of successfully completing a course of therapy, has received increasing attention. While much attention has been paid to the effect of patient-level factors on implementation, relatively little attention has been paid to therapist factors (e.g., professional training, experience). OBJECTIVE: The current study explores therapists' decisions to offer a particular evidence-based psychotherapy (cognitive behavioral therapy for chronic pain; CBT-CP), whether and how they modify CBT-CP, and the relationship between these decisions and patient completion rates. METHODS: The study utilized survey responses from 141 Veterans Affairs therapists certified in CBT-CP. RESULTS: Therapists reported attempting CBT-CP with a little less than one half of their patients with chronic pain (mean = 48.8%, s.d.=35.7). Therapist were generally split between reporting modifying CBT-CP for either very few or most of their patients. After controlling for therapist characteristics and modification, therapist-reported percentage of patients with attempted CBT-CP was positively associated with completion rates, t (111) = 4.57, p<.001. CONCLUSIONS: Therapists who attempt CBT-CP more frequently may experience better completion rates, perhaps due to practice effects or contextual factors that support both attempts and completion. Future research should examine this relationship using objective measures of attempt rates and completion.

Peer Support for Self-Management of Chronic Pain: the Evaluation of a Peer Coach-Led Intervention to Improve Pain Symptoms (ECLIPSE) Trial.

BACKGROUND: Pain self-management is an effective, evidence-based treatment for chronic pain. Peer support, in which patients serve as coaches for other patients, has been effective in other chronic conditions and is a potentially promising approach to implementing pain self-management programs using fewer clinical resources. OBJECTIVE: To test a peer coach-delivered pain self-management program for chronic pain. DESIGN: Randomized controlled trial. PARTICIPANTS: Veterans with chronic musculoskeletal pain. INTERVENTION: Intervention patients were assigned a trained peer coach for 6 months. Coaches, who were volunteers, were asked to contact their assigned patients, either by phone or in person, twice per month. Coaches and patients were given an intervention manual to guide sessions. The control group was offered a 2-hour pain self-management class. MAIN MEASURES: The primary outcome was total pain, assessed by the Brief Pain Inventory (BPI). Secondary outcomes were anxiety, depression, pain catastrophizing, self-efficacy, social support, patient activation, health-related quality of life, and healthcare utilization. Outcomes were measured at baseline, 6 months, and 9 months. KEY RESULTS: Two hundred fifteen patients enrolled (120 intervention, 95 control). Adherence to intervention protocol was low, with only 13% of patients reporting having at least the recommended 12 peer coach meetings over the 6-month intervention. BPI total decreased from baseline to 6 months and baseline to 9 months in both groups. At 9 months, this change was statistically significant (intervention, - 0.40, p = 0.018; control, - 0.47, p = 0.006). There was not a statistically significant difference between groups on BPI at either time point. No secondary outcomes improved significantly in either group after adjusting for multiple comparisons. CONCLUSIONS: Patients randomized to peer support did not differ from control patients on primary and secondary outcomes. Other peer support models that do not rely on volunteers might be more effective. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02380690.

Chronic Pain and Sleep Disturbances: A Pragmatic Review of Their Relationships, Comorbidities, and Treatments.

OBJECTIVE: The objective of this review is to answer three questions: 1) How are chronic pain severity and pain duration affected in patients with chronic pain and sleep disturbances that occur simultaneously? 2) What are common comorbidities and pain-related symptoms seen in patients with chronic pain and sleep disturbances? and 3) What are potentially effective pharmacological and nonpharmacological treatment options for both conditions? METHODS: Ovid Medline and PubMed were searched. Search terms included sleep wake disorder, chronic pain, fibromyalgia, treatment outcome, psychotherapy, complementary therapies, and therapeutics. Studies that assessed outcomes between individuals with chronic pain and those with concurrent chronic pain and sleep disturbances were included. Randomized controlled clinical trials of treatments for both conditions were included. RESULTS: Sixteen studies indicated that patients with both chronic pain and sleep disturbances have greater pain severity, longer duration of pain, greater disability, and are less physically active than those without sleep disturbances. Patients with both conditions are more likely to have concurrent depression, catastrophizing, anxiety, and suicidal ideation. Thirty-three randomized controlled trials assessed treatment for both chronic pain and sleep disturbances. Pregabalin was the most frequently studied medication, showing improvement in pain and sleep symptoms. Cognitive behavioral therapy for insomnia showed long-term improvement in sleep for patients with chronic pain. CONCLUSIONS: Individuals with chronic pain and sleep disturbances have greater symptom severity, longer duration of symptoms, more disability, and additional comorbidities. Pharmacological and nonpharmacological treatments may be useful in the treatment of concurrent chronic pain and sleep disturbances, but further study is needed.

Pain and Psychological Outcomes Among Iraq and Afghanistan Veterans with Chronic Pain and PTSD: ESCAPE Trial Longitudinal Results.

OBJECTIVE: To compare pain and psychological outcomes in veterans with chronic musculoskeletal pain and comorbid post-traumatic stress disorder (PTSD) or pain alone and to determine if veterans with comorbidity respond differently to a stepped-care intervention than those with pain alone. DESIGN: Secondary analysis of data from the Evaluation of Stepped Care for Chronic Pain (ESCAPE) trial. SETTING: Six Veterans Health Affairs clinics. SUBJECTS: Iraq and Afghanistan veterans (N = 222) with chronic musculoskeletal pain. METHODS: Longitudinal analysis of veterans with chronic musculoskeletal pain and PTSD or pain alone and available baseline and nine-month trial data. Participants randomized to either usual care or a stepped-care intervention were analyzed. The pain-PTSD comorbidity group screened positive for PTSD and had a PTSD Checklist-Civilian score ≥41 at baseline. RESULTS: T tests demonstrated statistically significant differences and worse outcomes on pain severity, pain cognitions, and psychological outcomes in veterans with comorbid pain and PTSD compared with those with pain alone. Analysis of covariance (ANCOVA) modeling change scores from baseline to nine months indicated no statistically significant differences, controlling for PTSD, on pain severity, pain centrality, or pain self-efficacy. Significant differences emerged for pain catastrophizing (t = 3.10, P < 0.01), depression (t = 3.39, P < 0.001), and anxiety (t = 3.80, P < 0.001). The interaction between PTSD and the stepped-care intervention was not significant. CONCLUSIONS: Veterans with the pain-PTSD comorbidity demonstrated worse pain and psychological outcomes than those with chronic pain alone. These findings indicate a more intense chronic pain experience for veterans when PTSD co-occurs with pain. PTSD did not lead to a differential response to a stepped-care intervention.

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.

Sleep Disturbance Predicts Less Improvement in Pain Outcomes: Secondary Analysis of the SPACE Randomized Clinical Trial.

OBJECTIVE: Sleep disturbance may limit improvement in pain outcomes if not directly addressed in treatment. Moreover, sleep problems may be exacerbated by opioid therapy. This study examined the effects of baseline sleep disturbance on improvement in pain outcomes using data from the Strategies for Prescribing Analgesics Comparative Effectiveness (SPACE) trial, a pragmatic 12-month randomized trial of opioid vs nonopioid medication therapy. DESIGN: Participants with chronic back pain or hip or knee osteoarthritis pain were randomized to either opioid therapy (N = 120) or nonopioid medication therapy (N = 120). METHODS: We used mixed models for repeated measures to 1) test whether baseline sleep disturbance scores modified the effect of opioid vs nonopioid treatment on pain outcomes and 2) test baseline sleep disturbance scores as a predictor of less improvement in pain outcomes across both treatment groups. RESULTS: The tests for interaction of sleep disturbance by treatment group were not significant. Higher sleep disturbance scores at baseline predicted less improvement in Brief Pain Inventory (BPI) interference (ß = 0.058, P = 0.0002) and BPI severity (ß = 0.026, P = 0.0164). CONCLUSIONS: Baseline sleep disturbance adversely affects pain response to treatment regardless of analgesic regimen. Recognition and treatment of sleep impairments that frequently co-occur with pain may optimize outcomes.

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.

Clinical perspectives on hospitals' role in the opioid epidemic.

BACKGROUND: Policymakers, legislators, and clinicians have raised concerns that hospital-based clinicians may be incentivized to inappropriately prescribe and administer opioids when addressing pain care needs of their patients, thus potentially contributing to the ongoing opioid epidemic in the United States. Given the need to involve all healthcare settings, including hospitals, in joint efforts to curb the opioid epidemic, it is essential to understand if clinicians perceive hospitals as contributors to the problem. Therefore, we examined clinical perspectives on the role of hospitals in the opioid epidemic. METHODS: We conducted individual semi-structured interviews with 23 clinicians from 6 different acute care hospitals that are part of a single healthcare system in the Midwestern United States. Our participants were hospitalists (N = 12), inpatient registered nurses (N = 9), and inpatient adult nurse practitioners (N = 2). In the interviews, we asked clinicians whether hospitals play a role in the opioid epidemic, and if so, how hospitals may contribute to the epidemic. We used a qualitative thematic analysis approach to analyze coded text for patterns and themes and examined potential differences in themes by respondent type using Dedoose software. RESULTS: The majority of clinicians believed hospitals contribute to the opioid epidemic. Multiple clinicians cited Center for Medicare and Medicaid Services' (CMS) reimbursement policy and the Joint Commission's report as drivers of inappropriate opioid prescribing in hospitals. Furthermore, numerous clinicians stated that opioids are inappropriately administered in the emergency department (ED), potentially as a mechanism to facilitate discharge and prevent re-admission. Many clinicians also described how overreliance on pre-populated pain care orders for surgical (orthopedic) patients, may be contributing to inappropriate opioid use in the hospital. Finally, clinicians suggested the following initiatives for hospitals to help address the crisis: 1) educating patients about negative consequences of using opioids long-term and setting realistic pain expectations; 2) educating medical staff about appropriate opioid prescribing practices, particularly for patients with complex chronic conditions (chronic pain; opioid use disorder (OUD)); and 3) strengthening the hospital leadership efforts to decrease inappropriate opioid use. CONCLUSIONS: Our findings can inform efforts at decreasing inappropriate opioid use in hospitals.

Internet-Based Pain Self-Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program.

OBJECTIVE: To develop and test the feasibility and preliminary efficacy of a cognitive behavioral therapy-based, internet-delivered self-management program for chronic low back pain (cLBP) in veterans. METHODS: Phase I included program development, involving expert panel and participant feedback. Phase II was a single-arm feasibility and preliminary efficacy study of the Pain e-health for Activity, Skills, and Education (Pain EASE) program. Feasibility (ie, website use, treatment credibility, satisfaction) was measured using descriptive methods. Mixed models were used to assess mean within-subject changes from baseline to 10 weeks post-baseline in pain interference (primary outcome, West Haven-Yale Multidimensional Pain Inventory, scale of 0 to 6), pain intensity, mood, fatigue, sleep, and depression. RESULTS: Phase I participants (n = 15) suggested modifications including style changes, content reduction, additional "Test Your Knowledge" quizzes, and cognitive behavioral therapy skill practice monitoring form revisions for enhanced usability. In Phase II, participants (n = 58) were mostly male (93%) and White (60%), and had an average age of 55 years (standard deviation [SD] = 12) and moderate pain (mean score 5.9/10); 41 (71%) completed the post-baseline assessment. Participants (N = 58) logged on 6.1 (SD = 8.6) times over 10 weeks, and 85% reported being very or moderately satisfied with Pain EASE. Pain interference improved from a mean of 3.8 at baseline to 3.3 at 10 weeks (difference 0.5 [95% confidence interval 0.1 to 0.9], P = 0.008). Within-subject improvement also occurred for some secondary outcomes, including mood and depression symptoms. DISCUSSION: Veterans with cLBP may benefit from technology-delivered interventions, which may also reduce pain interference. Overall, veterans found that Pain EASE, an internet-based self-management program, is feasible and satisfactory for cLBP.

Automated Self-management (ASM) vs. ASM-Enhanced Collaborative Care for Chronic Pain and Mood Symptoms: the CAMMPS Randomized Clinical Trial.

BACKGROUND: Chronic musculoskeletal pain is often accompanied by depression or anxiety wherein co-occurring pain and mood symptoms can be more difficult to treat than either alone. However, few clinical trials have examined interventions that simultaneously target both pain and mood conditions. OBJECTIVE: To determine the comparative effectiveness of automated self-management (ASM) vs. ASM-enhanced collaborative care. DESIGN: Randomized clinical trial conducted in six primary care clinics in a VA medical center. PARTICIPANTS: Two hundred ninety-four patients with chronic musculoskeletal pain of at least moderate intensity and clinically significant depressive and/or anxiety symptoms. INTERVENTION: ASM consisted of automated monitoring and 9 web-based self-management modules. Comprehensive symptom management (CSM) combined ASM with collaborative care management by a nurse-physician team. Both interventions were delivered for 12 months. MAIN MEASURES: Primary outcome was a composite pain-anxiety-depression (PAD) z-score consisting of the mean of the BPI, PHQ-9, and GAD-7 z-scores: 0.2, 0.5, and 0.8 represent potentially small, moderate, and large clinical differences. Secondary outcomes included global improvement, health-related quality of life, treatment satisfaction, and health services use. KEY RESULTS: Both CSM and ASM groups had moderate PAD score improvement at 12 months (z = - 0.65 and - 0.52, respectively). Compared to the ASM group, the CSM group had a - 0.23 (95% CI, - 0.38 to - 0.08; overall P = .003) greater decline in composite PAD z-score over 12 months. CSM patients were also more likely to report global improvement and less likely to report worsening at 6 (P = .004) and 12 months (P = .013). CONCLUSIONS: Two intervention models relying heavily on telecare delivery but differing in resource intensity both produced moderate improvements in pain and mood symptoms. However, the model combining collaborative care led by a nurse-physician team with web-based self-management was superior to self-management alone. TRIAL REGISTRATION: ClinicalTrials.gov : NCT0175730.

Core Outcome Measures for Chronic Musculoskeletal Pain Research: Recommendations from a Veterans Health Administration Work Group.

OBJECTIVE: Chronic musculoskeletal pain (CMSP) disorders are among the most prevalent and disabling conditions worldwide. It would be advantageous to have common outcome measures when comparing results across different CMSP research studies. METHODS: The Veterans Health Administration appointed a work group to recommend core outcome measures for assessing pain intensity and interference as well as important secondary domains in clinical research. The work group used three streams of data to inform their recommendations: 1) literature synthesis augmented by three recently completed trials; 2) review and comparison of measures recommended by other expert groups; 3) two Delphi surveys of work group members. RESULTS: The single-item numerical rating scale and seven-item Brief Pain Inventory interference scale emerged as the recommended measures for assessing pain intensity and interference, respectively. The secondary domains ranked most important included physical functioning and depression, followed by sleep, anxiety, and patient-reported global impression of change (PGIC). For these domains, the work group recommended the Patient-Reported Outcome Information System four-item physical function and sleep scales, the Patient Health Questionnaire two-item depression scale, the Generalized Anxiety Disorder two-item anxiety scale, and the single-item PGIC. Finally, a single-item National Health Interview Survey item was favored for defining chronic pain. CONCLUSIONS: Two scales comprising eight items are recommended as core outcome measures for pain intensity and interference in all studies of chronic musculoskeletal pain, and brief scales comprising 13 additional items can be added when possible to assess important secondary domains.

Clinical Policy Recommendations from the VHA State-of-the-Art Conference on Non-Pharmacological Approaches to Chronic Musculoskeletal Pain.

As a large national healthcare system, Veterans Health Administration (VHA) is ideally suited to build on its work to date and develop a safe, evidence-based, and comprehensive approach to the care of chronic musculoskeletal pain conditions that de-emphasizes opioid use and emphasizes non-pharmacological strategies. The VHA Office of Health Services Research and Development (HSR&D) held a state-of-the-art (SOTA) conference titled "Non-pharmacological Approaches to Chronic Musculoskeletal Pain Management" in November 2016. Goals of the conference were (1) to establish consensus on the current state of evidence regarding non-pharmacological approaches to chronic musculoskeletal pain to inform VHA policy in this area and (2) to begin to identify priorities for the future VHA research agenda. Workgroups were established and asked to reach consensus recommendations on clinical and research priorities for the following treatment strategies: psychological/behavioral therapies, exercise/movement therapies, manual therapies, and models for delivering multimodal pain care. Participants in the SOTA identified nine non-pharmacological therapies with sufficient evidence to be implemented across the VHA system as part of pain care. Participants further recommended that effective integration of these non-pharmacological approaches across the VHA and especially into VHA primary care, pain care, and mental health settings should be a priority, and that these treatments should be offered early in the course of pain treatment and delivered in a team-based, multimodal treatment setting concurrently with active self-care and self-management approaches. In addition, we recommend that VHA leadership and policy makers systematically address the barriers to implementation of these approaches by expanding opportunities for clinician and veteran education on the effectiveness of these strategies; supporting and funding further research to determine optimal dosage, duration, sequencing, combination, and frequency of treatment; emphasizing multimodal care with rigorous evaluation grounded in team-based approaches to test integrated models of delivery and stepped-care approaches; and working to address socioeconomic and cultural barriers to veterans' access to non-pharmacological approaches.

A Randomized Pilot Trial of a Novel Behavioral Intervention for Chronic Pain Tailored to Individuals with HIV.

Chronic pain is an important and understudied comorbidity in people living with HIV (PLWH). We conducted a pilot trial of Skills TO Manage Pain (STOMP), an innovative social cognitive theory-based pain self-management intervention tailored to PLWH, to assess feasibility, acceptability, and preliminary efficacy. Eligibility criteria included being HIV+, ≥ moderate pain for ≥ 3 months and a score of ≥ 4 on the three-item PEG pain severity and interference scale. Participants were randomized in a 1:1 fashion to STOMP or a usual care comparison. Among 22 participants randomized to STOMP, median session attendance was 9/12 (75%). Of 19 STOMP participants surveyed, 13 reported being "much better" overall since beginning treatment. Brief pain inventory-total scores decreased by 2 points in the intervention group and 0.9 in the control group (p = 0.11). STOMP is feasible, acceptable, and shows preliminary evidence of efficacy and promise for a full-scale trial.

Review of Factors, Methods, and Outcome Definition in Designing Opioid Abuse Predictive Models.

Objective: Several opioid risk assessment tools are available to prescribers to evaluate opioid analgesic abuse among chronic patients. The objectives of this study are to 1) identify variables available in the literature to predict opioid abuse; 2) explore and compare methods (population, database, and analysis) used to develop statistical models that predict opioid abuse; and 3) understand how outcomes were defined in each statistical model predicting opioid abuse. Design: The OVID database was searched for this study. The search was limited to articles written in English and published from January 1990 to April 2016. This search generated 1,409 articles. Only seven studies and nine models met our inclusion-exclusion criteria. Results: We found nine models and identified 75 distinct variables. Three studies used administrative claims data, and four studies used electronic health record data. The majority, four out of seven articles (six out of nine models), were primarily dependent on the presence or absence of opioid abuse or dependence (ICD-9 diagnosis code) to define opioid abuse. However, two articles used a predefined list of opioid-related aberrant behaviors. Conclusions: We identified variables used to predict opioid abuse from electronic health records and administrative data. Medication variables are the recurrent variables in the articles reviewed (33 variables). Age and gender are the most consistent demographic variables in predicting opioid abuse. Overall, there is similarity in the sampling method and inclusion/exclusion criteria (age, number of prescriptions, follow-up period, and data analysis methods). Intuitive research to utilize unstructured data may increase opioid abuse models' accuracy.