clinicaltrials.gov Identifier: NCT01583985.

Computerized multidisciplinary admission order set implementation for patients hospitalized for a COPD exacerbation improved physicians' adherence to evidence-based pharmacologic treatment, and they were associated with reductions in length of hospital stay.

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Purpose The rise in opioid prescribing, often for chronic pain management, resulted in an increased prevalence of opioid use disorder (OUD) throughout the United States, including within the Veterans Affairs (VA) healthcare system. The veteran population has been especially vulnerable to opioid-related harms, but rates of prescribing medications for OUD have been low. Use of care manager models for OUD have increased access to treatment. In this article we provide an overview of a clinical pharmacist care manager (CPCM) model for medications for OUD treatment implemented within the Minneapolis Veterans Affairs Health Care System. Summary A CPCM model for medications for OUD was identified as a care model that would address patient and facility barriers to effective OUD treatment. Pharmacists were integral in program development and implementation and served as the main care providers. An interim evaluation of the program established that the proportion of patients with OUD receiving medications for opioid use disorder (MOUD) had increased, with use of the program resulting in treatment of 109 unique patients during 625 visits. Key program implementation facilitators included the facility leadership establishing increased use of MOUD as a priority area, identification of a physician champion, and a history of successful expansion of clinical pharmacy specialist practice within the VA system. Implementation barriers included factors related to provider engagement, patient identification, and program support. The CPCM model of provision of MOUD expanded the pharmacist role in buprenorphine management. Conclusion The need to increase the number of patients receiving MOUD led to the implementation of a CPCM model. The program was effectively implemented into practice and expanded the availability of MOUD, which allowed patients to access treatment in multiple care settings.

Background The Whole Health model of the U.S. Department of Veterans Affairs (VA) emphasizes holistic self-care and multimodal approaches to improve pain, functioning, and quality of life. wHOPE (Whole Health Options and Pain Education) seeks to be the first multisite pragmatic trial to establish evidence for the VA Whole Health model for chronic pain care. Design wHOPE is a pragmatic randomized controlled trial comparing a Whole Health Team (WHT) approach to Primary Care Group Education (PC-GE); both will be compared to Usual VA Primary Care (UPC). The WHT consists of a medical provider, a complementary and integrative health (CIH) provider, and a Whole Health coach, who collaborate with VA patients to create a Personalized Health Plan emphasizing CIH approaches to chronic pain management. The active comparator, PC-GE, is adapted group cognitive behavioral therapy for chronic pain. The first aim is to test whether the WHT approach is superior to PC-GE and whether both are superior to UPC in decreasing pain interference in functioning in 750 veterans with moderate to severe chronic pain (primary outcome). Secondary outcomes include changes in pain severity, quality of life, mental health symptoms, and use of nonpharmacological and pharmacological therapies for pain. Outcomes will be collected from the VA electronic health record and patient-reported data over 12 months of follow-up. Aim 2 consists of an implementation-focused process evaluation and budget impact analysis. Summary This trial is part of the Pain Management Collaboratory, which seeks to create national-level infrastructure to support evidence-based nonpharmacological pain management approaches for veterans and military service personnel.

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 (β = 0.058, P = 0.0002) and BPI severity (β = 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.

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