An Online Acceptance and Mindfulness Intervention for Chronic Pain in Veterans: Development and Protocol for a Pilot Feasibility Randomized Controlled Trial

Erin D Reilly, Ummul-Kiram Kathawalla, Hannah E Robins, Alicia A Heapy, Timothy P Hogan, Molly E Waring, Karen S Quigley, Charles E Drebing, Timothy Bickmore, Matias Volonte, Megan M Kelly, Erin D Reilly, Ummul-Kiram Kathawalla, Hannah E Robins, Alicia A Heapy, Timothy P Hogan, Molly E Waring, Karen S Quigley, Charles E Drebing, Timothy Bickmore, Matias Volonte, Megan M Kelly

Abstract

Background: In the veteran community, chronic pain is particularly prevalent and often debilitating. Until recently, veterans with chronic pain were offered primarily pharmacological intervention options, which rarely suffice and can also have negative health consequences. To better address chronic pain in veterans, the Veterans Health Administration has invested in novel, nonpharmacological behavior interventions that target both pain management and chronic pain-related functional issues. One approach, acceptance and commitment therapy (ACT) for chronic pain, is supported by decades of efficacy evidence for improving pain outcomes; however, ACT can be difficult to obtain owing to issues such as a lack of trained therapists or veterans having difficulty committing to the time and resources needed for the full clinician-led ACT protocol. Given the strong ACT evidence base combined with access limitations, we set out to develop and evaluate Veteran ACT for Chronic Pain (VACT-CP), an online program guided by an embodied conversational agent to improve pain management and functioning.

Objective: The aims of this study are to develop, iteratively refine, and then conduct a pilot feasibility randomized controlled trial (RCT) of a VACT-CP group (n=20) versus a waitlist and treatment-as-usual control group (n=20).

Methods: This research project includes 3 phases. In phase 1, our research team consulted with pain and virtual care experts, developed the preliminary VACT-CP online program, and conducted interviews with providers to obtain their feedback on the intervention. In phase 2, we incorporated feedback from phase 1 into the VACT-CP program and completed initial usability testing with veterans with chronic pain. In phase 3, we are conducting a small pilot feasibility RCT, with the primary outcome being assessment of usability of the VACT-CP system.

Results: This study is currently in phase 3; recruitment for the RCT began in April 2022 and is expected to continue through April 2023. Data collection is expected to be completed by October 2023, with full data analysis completed by late 2023.

Conclusions: The findings from this research project will provide information on the usability of the VACT-CP intervention, as well as secondary outcomes related to treatment satisfaction, pain outcomes (pain-related daily functioning and pain severity), ACT processes (pain acceptance, behavioral avoidance, and valued living), and mental and physical functioning.

Trial registration: ClinicalTrials.gov NCT03655132; https://ichgcp.net/clinical-trials-registry/NCT03655132.

International registered report identifier (irrid): DERR1-10.2196/45887.

Keywords: acceptance and commitment therapy; chronic pain; embodied conversational agent; randomized controlled trial; usability.

Conflict of interest statement

Conflicts of Interest: None declared.

©Erin D Reilly, Ummul-Kiram Kathawalla, Hannah E Robins, Alicia A Heapy, Timothy P Hogan, Molly E Waring, Karen S Quigley, Charles E Drebing, Timothy Bickmore, Matias Volonte, Megan M Kelly. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 07.03.2023.

Figures

Figure 1
Figure 1
Screenshot of the Veteran Acceptance and Commitment Therapy for Chronic Pain website program.

References

    1. Kerns RD, Otis J, Rosenberg R, Reid MC. Veterans' reports of pain and associations with ratings of health, health-risk behaviors, affective distress, and use of the healthcare system. J Rehabil Res Dev. 2003;40(5):371–9. doi: 10.1682/jrrd.2003.09.0371.
    1. Treede R, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Kosek E, Lavand'homme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JW, Wang S. A classification of chronic pain for ICD-11. Pain. 2015 Jun;156(6):1003–7. doi: 10.1097/j.pain.0000000000000160. 00006396-201506000-00006
    1. Dahlhamer J, Lucas J, Zelaya C, Nahin R, Mackey S, DeBar L, Kerns R, Von Korff M, Porter L, Helmick C. Prevalence of chronic pain and high-impact chronic pain among adults - United States, 2016. MMWR Morb Mortal Wkly Rep. 2018 Sep 14;67(36):1001–6. doi: 10.15585/mmwr.mm6736a2. doi: 10.15585/mmwr.mm6736a2.
    1. MMWR. Morbidity and mortality weekly report, Vol. 67, no. 36, September 14, 2018. Centers for Disease Control and Prevention (U.S.) [2023-01-11]. .
    1. Minegishi T, Frakt AB, Garrido MM, Gellad WF, Hausmann LR, Lewis ET, Pizer SD, Trafton JA, Oliva EM. Randomized program evaluation of the Veterans Health Administration Stratification Tool for Opioid Risk Mitigation (STORM): a research and clinical operations partnership to examine effectiveness. Subst Abus. 2019 Jan 08;40(1):14–9. doi: 10.1080/08897077.2018.1540376.
    1. Nahin RL. Severe pain in veterans: the effect of age and sex, and comparisons with the general population. J Pain. 2017 Mar;18(3):247–54. doi: 10.1016/j.jpain.2016.10.021. S1526-5900(16)30313-3
    1. Oliva EM, Bowe T, Tavakoli S, Martins S, Lewis ET, Paik M, Wiechers I, Henderson P, Harvey M, Avoundjian T, Medhanie A, Trafton JA. Development and applications of the Veterans Health Administration's Stratification Tool for Opioid Risk Mitigation (STORM) to improve opioid safety and prevent overdose and suicide. Psychol Serv. 2017 Feb;14(1):34–49. doi: 10.1037/ser0000099.2017-03732-004
    1. Lin L, Peltzman T, McCarthy JF, Oliva EM, Trafton JA, Bohnert AS. Changing trends in opioid overdose deaths and prescription opioid receipt among veterans. Am J Prev Med. 2019 Jul;57(1):106–10. doi: 10.1016/j.amepre.2019.01.016.S0749-3797(19)30076-5
    1. Vital signs: overdoses of prescription opioid pain relievers and other drugs among women — United States, 1999–2010. Centers for Disease Control and Prevention. [2023-01-11]. .
    1. Chou R, Fanciullo GJ, Fine PG, Adler JA, Ballantyne JC, Davies P, Donovan MI, Fishbain DA, Foley KM, Fudin J, Gilson AM, Kelter A, Mauskop A, O'Connor PG, Passik SD, Pasternak GW, Portenoy RK, Rich BA, Roberts RG, Todd KH, Miaskowski C, American Pain Society-American Academy of Pain Medicine Opioids Guidelines Panel Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain. J Pain. 2009 Feb;10(2):113–30. doi: 10.1016/j.jpain.2008.10.008. S1526-5900(08)00831-6
    1. Martell BA, O'Connor PG, Kerns RD, Becker WC, Morales KH, Kosten TR, Fiellin DA. Systematic review: opioid treatment for chronic back pain: prevalence, efficacy, and association with addiction. Ann Intern Med. 2007 Jan 16;146(2):116–27. doi: 10.7326/0003-4819-146-2-200701160-00006.146/2/116
    1. Kerns R, Brandt C, Peduzzi P. NIH-DoD-VA pain management collaboratory. Pain Med. 2019 Dec 01;20(12):2336–45. doi: 10.1093/pm/pnz186. 5549274
    1. Cohen SP, Vase L, Hooten WM. Chronic pain: an update on burden, best practices, and new advances. Lancet. 2021 May;397(10289):2082–97. doi: 10.1016/s0140-6736(21)00393-7.
    1. Hann KE, McCracken LM. A systematic review of randomized controlled trials of acceptance and commitment therapy for adults with chronic pain: outcome domains, design quality, and efficacy. J Contextual Behav Sci. 2014 Oct;3(4):217–27. doi: 10.1016/j.jcbs.2014.10.001.
    1. Hughes LS, Clark J, Colclough JA, Dale E, McMillan D. Acceptance and commitment therapy (ACT) for chronic pain: a systematic review and meta-analyses. Clin J Pain. 2017 Jun;33(6):552–68. doi: 10.1097/AJP.0000000000000425.
    1. Veehof MM, Trompetter HR, Bohlmeijer ET, Schreurs KM. Acceptance- and mindfulness-based interventions for the treatment of chronic pain: a meta-analytic review. Cogn Behav Ther. 2016 Jan 28;45(1):5–31. doi: 10.1080/16506073.2015.1098724.
    1. Dindo L, Johnson AL, Lang B, Rodrigues M, Martin L, Jorge R. Development and evaluation of an 1-day acceptance and commitment therapy workshop for veterans with comorbid chronic pain, TBI, and psychological distress: outcomes from a pilot study. Contemp Clin Trials. 2020 Mar;90:105954. doi: 10.1016/j.cct.2020.105954. S1551-7144(20)30032-X
    1. Wetherell J, Afari N, Rutledge T, Sorrell JT, Stoddard JA, Petkus AJ, Solomon BC, Lehman DH, Liu L, Lang AJ, Atkinson HJ. A randomized, controlled trial of acceptance and commitment therapy and cognitive-behavioral therapy for chronic pain. Pain. 2011 Sep;152(9):2098–107. doi: 10.1016/j.pain.2011.05.016.00006396-201109000-00024
    1. Frank J, Carey E, Nolan C, Kerns RD, Sandbrink F, Gallagher R, Ho PM. Increased nonopioid chronic pain treatment in the Veterans Health Administration, 2010-2016. Pain Med. 2019 May 01;20(5):869–77. doi: 10.1093/pm/pny149.5077453
    1. Trafton JA, Martins SB, Michel MC, Wang D, Tu SW, Clark DJ, Elliott J, Vucic B, Balt S, Clark ME, Sintek CD, Rosenberg J, Daniels D, Goldstein MK. Designing an automated clinical decision support system to match clinical practice guidelines for opioid therapy for chronic pain. Implement Sci. 2010 Apr 12;5(1):26. doi: 10.1186/1748-5908-5-26. 1748-5908-5-26
    1. Heapy AA, Higgins DM, Goulet JL, LaChappelle KM, Driscoll MA, Czlapinski RA, Buta E, Piette JD, Krein SL, Kerns RD. Interactive voice response-based self-management for chronic back pain: the COPES noninferiority randomized trial. JAMA Intern Med. 2017 Jun 01;177(6):765–73. doi: 10.1001/jamainternmed.2017.0223. 2613722
    1. Smith J, Faux S, Gardner T, Hobbs MJ, James MA, Joubert AE, Kladnitski N, Newby JM, Schultz R, Shiner CT, Andrews G. Reboot online: a randomized controlled trial comparing an online multidisciplinary pain management program with usual care for chronic pain. Pain Med. 2019 Dec 01;20(12):2385–96. doi: 10.1093/pm/pnz208. doi: 10.1093/pm/pnz208.5566352
    1. Moman RN, Dvorkin J, Pollard EM, Wanderman R, Murad MH, Warner DO, Hooten WM. A systematic review and meta-analysis of unguided electronic and mobile health technologies for chronic pain-is it time to start prescribing electronic health applications? Pain Med. 2019 Nov 01;20(11):2238–55. doi: 10.1093/pm/pnz164. doi: 10.1093/pm/pnz164.5544261
    1. Ybarra ML, Eaton WW. Internet-based mental health interventions. Ment Health Serv Res. 2005 Jun;7(2):75–87. doi: 10.1007/s11020-005-3779-8.
    1. Report on promoting internet access service for veterans. Federal Communications Commission. [2023-01-11]. .
    1. van de Graaf DL, Trompetter HR, Smeets T, Mols F. Online Acceptance and Commitment Therapy (ACT) interventions for chronic pain: a systematic literature review. Internet Interv. 2021 Dec;26:100465. doi: 10.1016/j.invent.2021.100465. S2214-7829(21)00105-6
    1. Cesuroglu T, Syurina E, Feron F, Krumeich A. Other side of the coin for personalised medicine and healthcare: content analysis of 'personalised' practices in the literature. BMJ Open. 2016 Jul 13;6(7):e010243. doi: 10.1136/bmjopen-2015-010243. bmjopen-2015-010243
    1. Rosser BA, McCullagh P, Davies R, Mountain GA, McCracken L, Eccleston C. Technology-mediated therapy for chronic pain management: the challenges of adapting behavior change interventions for delivery with pervasive communication technology. Telemed J E Health. 2011 Apr;17(3):211–6. doi: 10.1089/tmj.2010.0136.
    1. Kocaballi AB, Berkovsky S, Quiroz JC, Laranjo L, Tong HL, Rezazadegan D, Briatore A, Coiera E. The personalization of conversational agents in health care: systematic review. J Med Internet Res. 2019 Nov 07;21(11):e15360. doi: 10.2196/15360. v21i11e15360
    1. Martorella G, Boitor M, Berube M, Fredericks S, Le May S, Gélinas C. Tailored web-based interventions for pain: systematic review and meta-analysis. J Med Internet Res. 2017 Nov 10;19(11):e385. doi: 10.2196/jmir.8826. v19i11e385
    1. Bickmore T, Pfeifer LM, Byron D, Forsythe S, Henault LE, Jack BW, Silliman R, Paasche-Orlow MK. Usability of conversational agents by patients with inadequate health literacy: evidence from two clinical trials. J Health Commun. 2010;15 Suppl 2:197–210. doi: 10.1080/10810730.2010.499991. doi: 10.1080/10810730.2010.499991.926954323
    1. Abdulrahman A, Richards D, Bilgin AA. Changing users’ health behaviour intentions through an embodied conversational agent delivering explanations based on users’ beliefs and goals. Behav Inform Technol. 2022 May 14;:1–19. doi: 10.1080/0144929x.2022.2073269.
    1. Gardiner PM, McCue KD, Negash LM, Cheng T, White LF, Yinusa-Nyahkoon L, Jack BW, Bickmore TW. Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: a feasibility randomized control trial. Patient Educ Couns. 2017 Sep;100(9):1720–9. doi: 10.1016/j.pec.2017.04.015. S0738-3991(17)30249-5
    1. Tanaka H, Negoro H, Iwasaka H, Nakamura S. Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders. PLoS One. 2017 Aug 10;12(8):e0182151. doi: 10.1371/journal.pone.0182151. PONE-D-17-04936
    1. Kramer L, Blok M, van Velsen L, Mulder BC, de Vet E. Supporting eating behaviour of community-dwelling older adults: co-design of an embodied conversational agent. Design Health (Abingdon) 2021;5(1):120–39. doi: 10.1080/24735132.2021.1885592. 1885592
    1. Feldstein AC, Glasgow RE. A practical, robust implementation and sustainability model (PRISM) for integrating research findings into practice. Jt Comm J Qual Patient Saf. 2008 Apr;34(4):228–43. doi: 10.1016/s1553-7250(08)34030-6.S1553-7250(08)34030-6
    1. Virzi RA. Refining the test phase of usability evaluation: how many subjects is enough? Hum Factors. 2016 Nov 23;34(4):457–68. doi: 10.1177/001872089203400407. doi: 10.1177/001872089203400407.
    1. Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure. Psychiatric Annals. 2002 Sep;32(9):509–15. doi: 10.3928/0048-5713-20020901-06. doi: 10.3928/0048-5713-20020901-06.
    1. Blevins CA, Weathers FW, Davis MT, Witte TK, Domino JL. The posttraumatic stress disorder checklist for DSM-5 (PCL-5): development and initial psychometric evaluation. J Trauma Stress. 2015 Dec;28(6):489–98. doi: 10.1002/jts.22059.
    1. Cleeland CS. Brief Pain Inventory Short Form (BPI-SF) APA PsycTests. 1991. [2021-02-25]. .
    1. Selim AJ, Rogers W, Fleishman JA, Qian SX, Fincke BG, Rothendler JA, Kazis LE. Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12) Qual Life Res. 2009 Feb 3;18(1):43–52. doi: 10.1007/s11136-008-9418-2.
    1. Rosen L, Whaling K, Carrier L, Cheever N, Rokkum J. The media and technology usage and attitudes scale: an empirical investigation. Comput Human Behav. 2013 Nov 01;29(6):2501–11. doi: 10.1016/j.chb.2013.06.006.
    1. Brooke J. SUS: a retrospective. J Usability Stud. 2013;8(2):29–40.
    1. Venkatesh V, Morris M, Davis G, Davis F. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425. doi: 10.2307/30036540.
    1. Venkatesh V, Speier C, Morris MG. User acceptance enablers in individual decision making about technology: toward an integrated model. Decision Sci. 2002 Mar;33(2):297–316. doi: 10.1111/j.1540-5915.2002.tb01646.x. doi: 10.1111/j.1540-5915.2002.tb01646.x.
    1. Wilson EV, Lankton NK. Modeling patients' acceptance of provider-delivered e-health. J Am Med Inform Assoc. 2004;11(4):241–8. doi: 10.1197/jamia.M1475. M1475
    1. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989 Sep;13(3):319. doi: 10.2307/249008. doi: 10.2307/249008.
    1. Davis FD, Bagozzi RP, Warshaw PR. Extrinsic and intrinsic motivation to use computers in the workplace. J Appl Social Pyschol. 1992 Jul;22(14):1111–32. doi: 10.1111/j.1559-1816.1992.tb00945.x. doi: 10.1111/j.1559-1816.1992.tb00945.x.
    1. Dahl J, Wilson K, Luciano C. Acceptance and Commitment Therapy for Chronic Pain. Oakland, California, United States: New Harbinger Publications; 2005. Apr 05,
    1. Dahl JA, Lundgren T. Living Beyond Your Pain Using Acceptance and Commitment Therapy to Ease Chronic Pain. Oakland, California, United States: New Harbinger Publications; 2006.
    1. Kabat-Zinn J. Full Catastrophe Living Using the Wisdom of Your Body and Mind to Face Stress, Pain, and Illness. New York, NY: Delta Trade Paperbacks; 1991.
    1. Dahl JA, Luciano C, Wilson K. Acceptance and Commitment Therapy for Chronic Pain. Oakland, California, United States: New Harbinger Publications; 2005.
    1. Venkatesh V. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inform Syst Res. 2000 Dec;11(4):342–65. doi: 10.1287/isre.11.4.342.11872.
    1. Brooke J. SUS: a quick and dirty usability scale. Syst Usability Scale. 1995 doi: 10.1201/9781498710411-35.
    1. Clark ME, Gironda RJ, Young RW. Development and validation of the Pain Outcomes Questionnaire-VA. J Rehabil Res Dev. 2003;40(5):381–95. doi: 10.1682/jrrd.2003.09.0381.
    1. McCracken LM, Vowles KE, Eccleston C. Acceptance of chronic pain: component analysis and a revised assessment method. Pain. 2004 Jan;107(1-2):159–66. doi: 10.1016/j.pain.2003.10.012.S0304395903004299
    1. Vowles K, McCracken L, McLeod C, Eccleston C. The Chronic Pain Acceptance Questionnaire: confirmatory factor analysis and identification of patient subgroups. Pain. 2008 Nov 30;140(2):284–91. doi: 10.1016/j.pain.2008.08.012.00006396-200811300-00006
    1. McCracken LM, Vowles KE, Eccleston C. Acceptance-based treatment for persons with complex, long standing chronic pain: a preliminary analysis of treatment outcome in comparison to a waiting phase. Behav Res Ther. 2005 Oct;43(10):1335–46. doi: 10.1016/j.brat.2004.10.003.S0005-7967(04)00247-5
    1. McCracken S, Yang S-Y. The role of values in a contextual cognitive-behavioral approach to chronic pain. Pain. 2006 Jul;123(1-2):137–45. doi: 10.1016/j.pain.2006.02.021. doi: 10.1016/j.pain.2006.02.021.S0304-3959(06)00112-6
    1. Gámez W, Chmielewski M, Kotov R, Ruggero C, Watson D. Development of a measure of experiential avoidance: the Multidimensional Experiential Avoidance Questionnaire. Psychol Assess. 2011 Sep;23(3):692–713. doi: 10.1037/a0023242.2011-08823-001
    1. Sahdra BK, Ciarrochi J, Parker P, Scrucca L. Using genetic algorithms in a large nationally representative American sample to abbreviate the Multidimensional Experiential Avoidance Questionnaire. Front Psychol. 2016 Feb 24;7:189. doi: 10.3389/fpsyg.2016.00189.
    1. Attkisson C, Zwick R. The client satisfaction questionnaire. psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5(3):233–7. doi: 10.1016/0149-7189(82)90074-x.0149-7189(82)90074-X
    1. Rounsaville BJ, Carroll KM, Onken LS. A stage model of behavioral therapies research: getting started and moving on from stage I. Clin Psychol Sci Pract. 2001;8(2):133–42. doi: 10.1093/clipsy.8.2.1. doi: 10.1093/clipsy.8.2.133.
    1. Lewis JR, Sauro J. Item benchmarks for the System Usability Scale. J Usability Stud. 2018;13(3):158–67.

Source: PubMed

3
S'abonner