Efficacy and mechanisms of a single-session behavioral medicine class among patients with chronic pain taking prescription opioids: study protocol for a randomized controlled trial

Maisa S Ziadni, Abby L Chen, Tyler Winslow, Sean C Mackey, Beth D Darnall, Maisa S Ziadni, Abby L Chen, Tyler Winslow, Sean C Mackey, Beth D Darnall

Abstract

Background: Independent of pain intensity, pain-specific distress is highly predictive of pain treatment needs, including the need for prescription opioids. Given the inherently distressing nature of chronic pain, there is a need to equip individuals with pain education and self-regulatory skills that are shown to improve adaptation and improve their response to medical treatments. Brief, targeted behavioral medicine interventions may efficiently address the key individual factors, improve self-regulation in the context of pain, and reduce the need for opioid therapy. This highlights the critical need for targeted, cost-effective interventions that efficiently address the key psychological factors that can amplify the need for opioids and increased risk for misuse. In this trial, the primary goal is to test the comparative efficacy of a single-session skills-based pain management class to a health education active control group among patients with chronic pain who are taking opioids.

Methods/design: Our study is a randomized, double-blind clinical trial testing the superiority of our 2-h, single-session skills-based pain management class against a 2-h health education class. We will enroll 136 adult patients with mixed-etiology chronic pain who are taking opioid prescription medication and randomize 1:1 to one of the two treatment arms. We hypothesize superiority for the skills-based pain class for pain control, self-regulation of pain-specific distress, and reduced opioid use measured by daily morphine equivalent. Team researchers masked to treatment assignment will assess outcomes up to 12 months post treatment.

Discussion: This study aims to test the utility of a single-session, 2-h skills-based pain management class to improve self-regulation of pain and reduce opioid use. Findings from our project have the potential to shift current research and clinical paradigms by testing a brief and scalable intervention that could reduce the need for opioids and prevent misuse effectively, efficiently, and economically. Further, elucidation of the mechanisms of opioid use can facilitate refinement of more targeted future treatments.

Trial registration: ClinicalTrials.gov, ID: NCT03950791. Registered on 10 May 2019.

Keywords: Behavioral medicine; Chronic pain; Cognitive-behavioral therapy; Pain catastrophizing; Prescription opioids; Treatment.

Conflict of interest statement

All authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of the trial protocol
Fig. 2
Fig. 2
The schedule of enrollment, interventions, and assessments

References

    1. Institute of Medicine of the National Academies . Institute of Medicine: relieving pain in America. 2011.
    1. National Institutes of Health . National pain strategy: a comprehensive population health-level strategy for pain. 2016.
    1. U.S. Department of Health and Human Services . Report on pain management best practices: updates, gaps, inconsistencies, and recommendations. 2019.
    1. Darnall BD, Sturgeon JA, Kao MC, Hah JM, Mackey SC. From catastrophizing to recovery: a pilot study of a single-session treatment for pain catastrophizing. J Pain Res. 2014;7:219.
    1. Darnall BD, Ziadni MS, Roy A, Kao MC, Sturgeon JA, Cook KF, et al. Comparative efficacy and mechanisms of a single-session pain psychology class in chronic low back pain: Study protocol for a randomized controlled trial. Trials. 2018;19(1):165.
    1. Naylor MR, Seminowicz DA, Somers TJ, Keefe FJ. Pain imaging. In: Moore RJ, editor. Handbook of pain and palliative care: biobehavioral approaches for the life course. New York City: Springer; 2013. pp. 439–467.
    1. Cherkin DC, Sherman KJ, Balderson BH, Cook AJ, Anderson ML, Hawkes RJ, et al. Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain: a randomized clinical trial. JAMA. 2016;315(12):240–1249.
    1. Burns JW, Gleen B, Bruehl S, Harden RN, Lofland K. Cognitive factors influence outcome following multidisciplinary chronic pain treatment: a replication and extension of a cross-lagged panel analysis. Behav Res Ther. 2003;41(10):1163–1182.
    1. Darnall BD, Ziadni MS, Krishnamurthy P, Flood P, Heathcote LC, Mackey IG, et al. “My surgical success”: effect of a digital behavioral pain medicine intervention on time to opioid cessation after breast cancer surgery—a pilot randomized controlled clinical trial. Pain Med. 2019;20(11):2228–2237.
    1. (NPSTF), N.P.S.T.F. National Pain Strategy – a comprehensive population health-level strategy for pain, National Institutes of Health, Editor. 2015.
    1. Von Korff M, Scher AI, Helmick C, Carter-Pokras O, Dodick DW, Goulet J, et al. United States national pain strategy for population research: concepts, definitions, and pilot data. J Pain. 2016;17(10):1068–1080.
    1. Boudreau D, Von Korff M, Rutter CM, Saunders K, Ray GT, Sullivan MD, et al. Trends in long-term opioid therapy for chronic non-cancer pain. Pharmacoepidemiol Drug Saf. 2009;18(12):1166–1175.
    1. Mojtabai R. National trends in long-term use of prescription opioids. Pharmacoepidemiol Drug Saf. 2017;27(5):1–9.
    1. Weisner CM, Campbell CI, Ray GT, Saunders K, Merrill JO, Banta-Green C. Trends in prescribed opioid therapy for non-cancer pain for individuals with prior substance use disorders. Pain. 2009;145(3):287–293.
    1. Warner M, Chen LH, Makuc DM. Increase in fatal poisonings involving opioid analgesics in the United States, 1999-2006. NCHS Data Brief. 2009;22:1–8.
    1. Naylor MR, Naud S, Keefe FJ, Helzer JE. Therapeutic Interactive Voice Response (TIVR) to reduce analgesic medication use for chronic pain management. J Pain. 2010;11(12):1410–1419.
    1. Jamison RN, Ross EL, Michna E, Chen LQ, Holcomb C, Wasan AD. Substance misuse treatment for high-risk chronic pain patients on opioid therapy: a randomized trial. Pain. 2010;150(3):390–400.
    1. Guarino H, Fong C, Marsch LA, Acosta MC, Syckes C, Moore SK, et al. Web-based cognitive behavior therapy for chronic pain patients with aberrant drug-related behavior: outcomes from a randomized controlled trial. Pain Med. 2018;19(12):2423–2437.
    1. Thorn BE, Boothby JL, Sulllivan MJ. Targeted treatment of catastrophizing for the management of chronic pain. Cogn Behav Pract. 2002;9(2):127–138.
    1. Rini C, Williams DA, Broderick JE, Keefe FJ. Meeting them where they are: using the Internet to deliver behavioral medicine interventions for pain. Transl Behav Med. 2012;2(1):82–92.
    1. Simon LS. Relieving pain in America: a blueprint for transforming prevention, care, education, and research. J Pain Palliat Care Pharmother. 2012;26(2):97–198.
    1. Williams DA. Web-based behavioral interventions for the management of chronic pain. Curr Rheumatol Rep. 2011;13(6):543–549.
    1. Darnall BD, Ziadni MS, Stieg RL, Mackey IG, Kao MC, Flood P. Patient-centered prescription opioid tapering in community outpatients with chronic pain. JAMA Intern Med. 2018;178(5):707–708.
    1. Sharifzadeh Y, Kao MC, Sturgeon JA, Rico TJ, Mackey S, Darnall BD. Pain catastrophizing moderates relationships between pain intensity and opioid prescription nonlinear sex differences revealed using a learning health system. Anesthesiology. 2017;127(1):136–146.
    1. Butler SF, Budman SH, Fernandez KC, Houle B, Benoit C, Katz N. Development and validation of the current opioid misuse measure. Pain. 2007;130(1–2):144–156.
    1. National Institute on Drug Abuse . DSM 5 – Opioids (DSO) Bethesda: NIDA Clinical Trials Network; 2017.
    1. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol. 2010;63(11):1179–1194.
    1. Darnall BD, Sturgeon JA, Cook KF, Taub CJ, Roy A, Burns JW, et al. Development and validation of a daily pain catastrophizing scale. J Pain. 2017;18(9):1139–1149.
    1. Sturgeon JA, Hah JM, Sharifzadeh Y, Middleton SK, Rico T, Johnson KA, et al. Predictors of daily pain medication use in individuals with recurrent back pain. Int J Behav Med. 2018;25(2):252–258.
    1. Ziadni MS, Sturgeon JA, Darnall BD. The relationship between negative metacognitive thoughts, pain catastrophizing and adjustment to chronic pain. Eur J Pain. 2018;22(4):756–762.
    1. Sullivan MJ, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524.
    1. Goesling J, Moser SE, Lin LA, Hassett AL, Wasserman RA, Brummet CM. Discrepancies between perceived benefit of opioids and self-reported patient outcomes. Pain Med. 2016;19(2):297–306.
    1. Younger J, Gandhi V, Hubbard E, Mackey S. Development of the Stanford Expectations of Treatment Scale (SETS): a tool for measuring patient outcome expectancy in clinical trials. Clin Trials. 2012;9(6):767–776.
    1. Linton SJ. Do psychological factors increase the risk for back pain in the general population in both a cross-sectional and prospective analysis? Eur J Pain. 2005;9(4):355–361.
    1. Edlund MJ, Martin BC, Fan MY, Devries A, Braden JB, Sullivan MD. Risks for opioid abuse and dependence among recipients of chronic opioid therapy: results from the TROUP study. Drug Alcohol Depend. 2010;112(1):90–98.
    1. Compton WM, Volkow ND. Major increases in opioid analgesic abuse in the United States: concerns and strategies. Drug Alcohol Depend. 2006;81(2):103–107.
    1. Boscarino JA, Rukstalis M, Hoffman SN, Han JJ, Erlich PM, Gerhard GS, et al. Risk factors for drug dependence among out-patients on opioid therapy in a large US health-care system. Addiction. 2010;105(10):1776–1782.
    1. Svendsen K, Borchgrevink P, Fredheim O, Hamunen K, Mellbye A, Dale O. Choosing the unit of measurement counts: the use of oral morphine equivalents in studies of opioid consumption is a useful addition to defined daily doses. Palliat Med. 2011;25(7):725–732.
    1. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P. Extending the CONSORT Statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008;148(4):295–309.
    1. Thorn BE, Pence LB, Ward LC, Kilgo G, Clements KL, Cross TH, et al. A randomized clinical trial of targeted cognitive behavioral treatment to reduce catastrophizing in chronic headache sufferers. J Pain. 2007;8(12):938–949.
    1. Glombiewski JA, Hartwich-Tersek J, Rief W. Attrition in cognitive-behavioral treatment of chronic back pain. Clin J Pain. 2010;26(7):593–601.
    1. Fritz MS, Mackinnon DP. Required sample size to detect the mediated effect. Pyschol Sci. 2007;18(3):233–239.
    1. Farrar JT, Portenoy RK, Berlin JA, Kinman JL, Strom BL. Defining the clinically important difference in pain outcome measures. Pain. 2000;88(3):287–294.
    1. Dworkin RH, Turk DC, McDermott MP, Peirce-Sadner S, Burke LB, Cowan P, et al. Interpreting the clinical importance of group differences in chronic pain clinical trials: IMMPACT recommendations. Pain. 2009;146(3):238–244.
    1. Meltzer EC, Rybin D, Saitz R, Samet JH, Schwartz SL, Butler SF, et al. Identifying prescription opioid use disorder in primary care: diagnostic characteristics of the Current Opioid Misuse Measure (COMM) Pain. 2011;152(2):397–402.

Source: PubMed

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