Mindfulness-based cognitive therapy and cognitive behavioral therapy for chronic pain in multiple sclerosis: a randomized controlled trial protocol

Dawn M Ehde, Kevin N Alschuler, Melissa A Day, Marcia A Ciol, Makena L Kaylor, Jennifer K Altman, Mark P Jensen, Dawn M Ehde, Kevin N Alschuler, Melissa A Day, Marcia A Ciol, Makena L Kaylor, Jennifer K Altman, Mark P Jensen

Abstract

Background: Chronic pain is one of the most prevalent and disabling symptoms associated with multiple sclerosis (MS). Individuals with MS are interested in nonpharmacologic pain management approaches. Cognitive-behavioral therapy (CBT) is efficacious in improving MS-related pain outcomes. Mindfulness-based cognitive therapy (MBCT) is a promising, alternative approach. Little is known about moderators of these treatments' outcomes, however. This article describes the study protocol for the first randomized controlled trial comparing MBCT, CBT, and usual care and examining treatment effect moderators in individuals with chronic pain and MS.

Methods: We will conduct a single-center, randomized, single blind, parallel-group trial comparing MBCT, CBT, and usual care in adults with MS and chronic pain. Both interventions will be delivered via eight group sessions using videoconferencing technology. Primary (average pain intensity) and secondary outcomes (including pain interference, depressive symptoms, fatigue, and sleep) will be assessed pre-treatment, mid-treatment, post-treatment, and at 6-month follow up. Potential treatment moderators will be assessed pre-treatment. We hypothesize that participants randomly assigned to MBCT or CBT will report significantly greater reductions in average pain intensity than participants assigned to usual care at post-treatment (primary study endpoint) and 6-month follow up. We also hypothesize that mindfulness, pain catastrophizing, and behavioral activation pre-treatment will moderate response to both active treatments, but not response to usual care.

Discussion: Findings will provide important new information about the efficacy and moderators of two nonpharmacologic pain management approaches delivered using technology to overcome common barriers to treatment access. The knowledge gained may lead to better patient-treatment matching and, ultimately, better pain treatment outcomes in MS.

Trial registration: ClinicalTrials.gov, NCT03782246. Registered on 20 December 2018.

Keywords: Chronic pain; Cognitive behavioral therapy; Mindfulness; Mindfulness-based cognitive therapy; Multiple sclerosis; Psychology; Telehealth.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Study overview

References

    1. O'Connor AB, Schwid SR, Herrmann DN, Markman JD, Dworkin RH. Pain associated with multiple sclerosis: systematic review and proposed classification. Pain. 2008;137(1):96–111. doi: 10.1016/j.pain.2007.08.024.
    1. Fiest KM, Fisk JD, Patten SB, et al. Comorbidity is associated with pain-related activity limitations in multiple sclerosis. Mult Scler Relat Disord. 2015;4(5):470–476. doi: 10.1016/j.msard.2015.07.014.
    1. Ehde DM, Elzea JL, Verrall AM, Gibbons LE, Smith AE, Amtmann D. Efficacy of a telephone-delivered self-management intervention for persons with multiple sclerosis: a randomized controlled trial with a one-year follow-up. Arch Phys Med Rehabil. 2015;96(11):1945–1958. doi: 10.1016/j.apmr.2015.07.015.
    1. Jensen MP, Ehde DM, Gertz KJ, et al. Effects of self-hypnosis training and cognitive restructuring on daily pain intensity and catastrophizing in individuals with multiple sclerosis and chronic pain. Int J Clin Exp Hypn. 2011;59(1):45–63. doi: 10.1080/00207144.2011.522892.
    1. Jensen MP, Battalio SL, Chan JF, et al. Use of neurofeedback and mindfulness to enhance response to hypnosis treatment in individuals with multiple sclerosis: results from a pilot randomized clinical trial. Int J Clin Exp Hypn. 2018;66(3):231–264. doi: 10.1080/00207144.2018.1460546.
    1. Day MA, Ehde DM, Jensen MP. Psychosocial pain management moderation: the limit, activate, and enhance model. J Pain. 2015;16(10):947–960. doi: 10.1016/j.jpain.2015.07.003.
    1. Day MA. Mindfulness-based cognitive therapy for chronic pain: a clinical manual and guide. Chichester, West Sussex ; Malden, MA: John Wiley & Sons Inc.; 2017.
    1. Day Melissa A, Ward L Charles, Ehde Dawn M, Thorn Beverly E, Burns John, Barnier Amanda, Mattingley Jason B, Jensen Mark P. A Pilot Randomized Controlled Trial Comparing Mindfulness Meditation, Cognitive Therapy, and Mindfulness-Based Cognitive Therapy for Chronic Low Back Pain. Pain Medicine. 2019;20(11):2134–2148. doi: 10.1093/pm/pny273.
    1. Day MA, Thorn BE. Mindfulness-based cognitive therapy for headache pain: an evaluation of the long-term maintenance of effects. Complement Ther Med. 2017;33:94–98. doi: 10.1016/j.ctim.2017.06.009.
    1. Day MA, Thorn BE, Rubin NJ. Mindfulness-based cognitive therapy for the treatment of headache pain: a mixed-methods analysis comparing treatment responders and treatment non-responders. Complement Ther Med. 2014;22(2):278–285. doi: 10.1016/j.ctim.2013.12.018.
    1. Day MA, Thorn BE, Ward LC, et al. Mindfulness-based cognitive therapy for the treatment of headache pain: a pilot study. Clin J Pain. 2014;30(2):152–161.
    1. Dowd H, Hogan MJ, McGuire BE, et al. Comparison of an online mindfulness-based cognitive therapy intervention with online pain management psychoeducation: a randomized controlled study. Clin J Pain. 2015;31(6):517–527. doi: 10.1097/AJP.0000000000000201.
    1. Johannsen M, O'Connor M, O'Toole MS, Jensen AB, Hojris I, Zachariae R. Efficacy of mindfulness-based cognitive therapy on late post-treatment pain in women treated for primary breast cancer: a randomized controlled trial. J Clin Oncol. 2016;34(28):3390–3399. doi: 10.1200/JCO.2015.65.0770.
    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. doi: 10.7326/0003-4819-148-4-200802190-00008.
    1. Alschuler KN, Jensen MP, Ehde DM. Defining mild, moderate, and severe pain in persons with multiple sclerosis. Pain Med. 2012;13(10):1358–1365. doi: 10.1111/j.1526-4637.2012.01471.x.
    1. Callahan CM, Unverzagt FW, Hui SL, Perkins AJ, Hendrie HC. Six-item screener to identify cognitive impairment among potential subjects for clinical research. Med Care. 2002;40(9):771–781. doi: 10.1097/00005650-200209000-00007.
    1. Ehde Dawn M., Jensen Mark P. Feasibility of a Cognitive Restructuring Intervention for Treatment of Chronic Pain in Persons With Disabilities. Rehabilitation Psychology. 2004;49(3):254–258. doi: 10.1037/0090-5550.49.3.254.
    1. Bowen J, Gibbons L, Gianas A, Kraft GH. Self-administered Expanded Disability Status Scale with functional system scores correlates well with a physician-administered test. Mult Scler. 2001;7(3):201–206. doi: 10.1177/135245850100700311.
    1. The National Institute of Neurological Disorders and Stroke common data elements for multiple sclerosis. . Accessed 17 May 2019.
    1. Freynhagen R, Baron R, Gockel U, Tolle TR. painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain. Curr Med Res Opin. 2006;22(10):1911–1920. doi: 10.1185/030079906X132488.
    1. Ehde DM, Nitsch KP, Smiley JP. Measurement characteristics and clinical utility of the Brief Pain Inventory-Short Form for individuals with multiple sclerosis. Rehabil Psychol. 2015;60(4):365–366. doi: 10.1037/rep0000065.
    1. Cella D, Yount S, Rothrock N, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care. 2007;45(5 Suppl 1):S3–S11. doi: 10.1097/01.mlr.0000258615.42478.55.
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x.
    1. Fisk JD, Ritvo PG, Ross L, Haase DA, Marrie TJ, Schlech WF. Measuring the functional impact of fatigue: initial validation of the fatigue impact scale. Clin Infect Dis. 1994;18(Suppl 1):S79–S83. doi: 10.1093/clinids/18.Supplement_1.S79.
    1. Buysse DJ, Yu L, Moul DE, et al. Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep. 2010;33(6):781–792. doi: 10.1093/sleep/33.6.781.
    1. Amtmann D, Bamer AM, Cook KF, Askew RL, Noonan VK, Brockway JA. University of Washington self-efficacy scale: a new self-efficacy scale for people with disabilities. Arch Phys Med Rehabil. 2012;93(10):1757–1765. doi: 10.1016/j.apmr.2012.05.001.
    1. Dworkin RH, Turk DC, Farrar JT, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005;113(1–2):9–19. doi: 10.1016/j.pain.2004.09.012.
    1. Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW. A health-related quality of life measure for multiple sclerosis. Qual Life Res. 1995;4(3):187–206. doi: 10.1007/BF02260859.
    1. Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing Scale: development and validation. Psychol Assessment. 1995;7(4):524–532. doi: 10.1037/1040-3590.7.4.524.
    1. de Bruin EI, Topper M, Muskens JG, Bogels SM, Kamphuis JH. Psychometric properties of the Five Facets Mindfulness Questionnaire (FFMQ) in a meditating and a non-meditating sample. Assessment. 2012;19(2):187–197. doi: 10.1177/1073191112446654.
    1. Manos RC, Kanter JW, Luo W. The behavioral activation for depression scale-short form: development and validation. Behav Ther. 2011;42(4):726–739. doi: 10.1016/j.beth.2011.04.004.
    1. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–1070. doi: 10.1037/0022-3514.54.6.1063.
    1. Wicksell RK, Olsson GL, Melin L. The Chronic Pain Acceptance Questionnaire (CPAQ)-further validation including a confirmatory factor analysis and a comparison with the Tampa Scale of Kinesiophobia. Eur J Pain. 2009;13(7):760–768. doi: 10.1016/j.ejpain.2008.09.003.
    1. Jensen MP, Turner JA, Romano JM. Pain belief assessment: a comparison of the short and long versions of the survey of pain attitudes. J Pain. 2000;1(2):138–150. doi: 10.1016/S1526-5900(00)90099-3.
    1. Slepian PM, Ankawi B, Himawan LK, France CR. Development and Initial Validation of the Pain Resilience Scale. J Pain. 2016;17(4):462–472. doi: 10.1016/j.jpain.2015.12.010.
    1. Gurnani AS, John SE, Gavett BE. Regression-based norms for a bi-factor model for scoring the Brief Test of Adult Cognition by Telephone (BTACT) Arch Clin Neuropsychol. 2015;30(3):280–291. doi: 10.1093/arclin/acv005.
    1. Horvath AO, Greenberg LS. Development and validation of the Working Alliance Inventory. J Couns Psychol. 1989;36(2):223–233. doi: 10.1037/0022-0167.36.2.223.
    1. Mackenzie KR. The clinical application of a Group Climate measure. In: Dies RR, Mackenzie KR, editors. Advances in group psychotherapy: integrating research and practice. New York: International Universities Press; 1983. pp. 159–170.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Bombardier CH, Ehde DM, Gibbons LE, et al. Telephone-based physical activity counseling for major depression in people with multiple sclerosis. J Consult Clin Psychol. 2013;81(1):89–99. doi: 10.1037/a0031242.
    1. Graham JW, Olchowski AE, Gilreath TD. How many imputations are really needed? - Some practical clarifications of multiple imputation theory. Prev Sci. 2007;8(3):206–213. doi: 10.1007/s11121-007-0070-9.
    1. Day MA, Jensen MP, Ehde DM, Thorn BE. Toward a theoretical model for mindfulness-based pain management. J Pain. 2014;15(7):691–703. doi: 10.1016/j.jpain.2014.03.003.
    1. Ehde DM, Dillworth TM, Turner JA. Cognitive-behavioral therapy for individuals with chronic pain: efficacy, innovations, and directions for research. Am Psychol. 2014;69(2):153–166. doi: 10.1037/a0035747.
    1. Eccleston C, Morley S, Williams A, Yorke L, Mastroyannopoulou K. Systematic review of randomised controlled trials of psychological therapy for chronic pain in children and adolescents, with a subset meta-analysis of pain relief. Pain. 2002;99(1–2):157–165. doi: 10.1016/S0304-3959(02)00072-6.
    1. Kazdin AE. Understanding how and why psychotherapy leads to change. Psychother Res. 2009;19(4–5):418–428. doi: 10.1080/10503300802448899.
    1. Kazdin AE. Mediators and mechanisms of change in psychotherapy research. Annu Rev Clin Psychol. 2007;3:1–27. doi: 10.1146/annurev.clinpsy.3.022806.091432.
    1. Mularski RA, White-Chu F, Overbay D, Miller L, Asch SM, Ganzini L. Measuring pain as the 5th vital sign does not improve quality of pain management. J Gen Intern Med. 2006;21(6):607–612. doi: 10.1111/j.1525-1497.2006.00415.x.
    1. National Academies of Sciences Engineering and Medicine (U.S.) Committee on Pain Management and Regulatory Strategies to Address Prescription Opioid Abuse. In: Bonnie RJ, Ford MA, Phillips J, editors. Pain management and the opioid epidemic : balancing societal and individual benefits and risks of prescription opioid use. Washington, DC: The National Academies Press; 2017.
    1. Ehde DM, Kratz AL, Robinson JP, Jensen MP. Chronic pain. In: Finlayson M, editor. Multiple sclerosis rehabilitation: from impairment to participation. London: Taylor and Francis; 2013. pp. 199–226.
    1. Clarke G, Yarborough BJ. Evaluating the promise of health IT to enhance/expand the reach of mental health services. Gen Hosp Psychiatry. 2013;35(4):339–344. doi: 10.1016/j.genhosppsych.2013.03.013.
    1. Pew Research Center Internet/broadband fact sheet. . Accessed 30 April 2019.
    1. Dunn M, Bhargava P, Kalb R. Your patients with multiple sclerosis have set wellness as a high priority - and the National Multiple Sclersosis Society is Responding. US Neurol. 2015;11(2):80–86. doi: 10.17925/USN.2015.11.02.80.

Source: PubMed

3
Subskrybuj