Effects of the Web Behavior Change Program for Activity and Multimodal Pain Rehabilitation: Randomized Controlled Trial

Catharina A Nordin, Peter Michaelson, Gunvor Gard, Margareta K Eriksson, Catharina A Nordin, Peter Michaelson, Gunvor Gard, Margareta K Eriksson

Abstract

Background: Web-based interventions with a focus on behavior change have been used for pain management, but studies of Web-based interventions integrated in clinical practice are lacking. To emphasize the development of cognitive skills and behavior, and to increase activity and self-care in rehabilitation, the Web Behavior Change Program for Activity (Web-BCPA) was developed and added to multimodal pain rehabilitation (MMR).

Objective: The objective of our study was to evaluate the effects of MMR in combination with the Web-BCPA compared with MMR among persons with persistent musculoskeletal pain in primary health care on pain intensity, self-efficacy, and copying, as part of a larger collection of data. Web-BCPA adherence and feasibility, as well as treatment satisfaction, were also investigated.

Methods: A total of 109 participants, mean age 43 (SD 11) years, with persistent pain in the back, neck, shoulder, and/or generalized pain were recruited to a randomized controlled trial with two intervention arms: (1) MMR+WEB (n=60) and (2) MMR (n=49). Participants in the MMR+WEB group self-guided through the eight modules of the Web-BCPA: pain, activity, behavior, stress and thoughts, sleep and negative thoughts, communication and self-esteem, solutions, and maintenance and progress. Data were collected with a questionnaire at baseline and at 4 and 12 months. Outcome measures were pain intensity (Visual Analog Scale), self-efficacy to control pain and to control other symptoms (Arthritis Self-Efficacy Scale), general self-efficacy (General Self-Efficacy Scale), and coping (two-item Coping Strategies Questionnaire; CSQ). Web-BCPA adherence was measured as minutes spent in the program. Satisfaction and Web-BCPA feasibility were assessed by a set of items.

Results: Of 109 participants, 99 received the allocated intervention (MMR+WEB: n=55; MMR: n=44); 88 of 99 (82%) completed the baseline and follow-up questionnaires. Intention-to-treat analyses were performed with a sample size of 99. The MMR+WEB intervention was effective over time (time*group) compared to MMR for the two-item CSQ catastrophizing subscale (P=.003), with an effect size of 0.61 (Cohen d) at 12 months. There were no significant between-group differences over time (time*group) regarding pain intensity, self-efficacy (pain, other symptoms, and general), or regarding six subscales of the two-item CSQ. Improvements over time (time) for the whole study group were found regarding mean (P<.001) and maximum (P=.002) pain intensity. The mean time spent in the Web-based program was 304 minutes (range 0-1142). Participants rated the items of Web-BCPA feasibility between 68/100 and 90/100. Participants in the MMR+WEB group were more satisfied with their MMR at 4 months (P<.001) and at 12 months (P=.003).

Conclusions: Adding a self-guided Web-based intervention with a focus on behavioral change for activity to MMR can reduce catastrophizing and increase satisfaction with MMR. Patients in MMR may need more supportive coaching to increase adherence in the Web-BCPA to find it valuable.

Clinicaltrial: Clinicaltrials.gov NCT01475591; https://ichgcp.net/clinical-trials-registry/NCT01475591 (Archived by WebCite at http://www.webcitation.org/6kUnt7VQh).

Keywords: Web-based intervention; coping behavior; pain; patient compliance; patient satisfaction; rehabilitation; self-efficacy.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Participant flow diagram. MMR: multimodal rehabilitation; MMR+WEB: multimodal rehabilitation and Web Behavior Change Program for Activity.

References

    1. Murray E, May C, Mair F. Development and formative evaluation of the e-Health Implementation Toolkit (e-HIT) BMC Med Inform Decis Mak. 2010;10:61. doi: 10.1186/1472-6947-10-61.
    1. Eysenbach G. Medicine 2.0: social networking, collaboration, participation, apomediation, and openness. J Med Internet Res. 2008;10(3):e22. doi: 10.2196/jmir.1030.
    1. Macea DD, Gajos K, Daglia Calil YA, Fregni F. The efficacy of Web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis. J Pain. 2010 Oct;11(10):917–929. doi: 10.1016/j.jpain.2010.06.005.
    1. Eccleston C, Fisher E, Craig L, Duggan GB, Rosser BA, Keogh E. Psychological therapies (Internet-delivered) for the management of chronic pain in adults. Cochrane Database Syst Rev. 2014;2:CD010152. doi: 10.1002/14651858.CD010152.pub2.
    1. Buhrman M, Gordh T, Andersson G. Internet interventions for chronic pain including headache: a systematic review. Internet Intervent. 2016 May;4:17–34. doi: 10.1016/j.invent.2015.12.001.
    1. Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain. 2006 May;10(4):287–333. doi: 10.1016/j.ejpain.2005.06.009.
    1. The Swedish Council on Health Technology Assessment (SBU) Rehabilitation for Long-Lasting Pain. A Literature Review. Stockholm: The Swedish Council on Health Technology Assessment (SBU); 2010. p. 198.
    1. Sallinen M, Kukkurainen ML, Peltokallio L, Mikkelsson M. “I'm tired of being tired” Fatigue as experienced by women with fibromyalgia. Adv Phys. 2015 May 04;13(1):11–17. doi: 10.3109/14038196.2010.546880.
    1. Ekman M, Jönhagen S, Hunsche E, Jönsson L. Burden of illness of chronic low back pain in Sweden: a cross-sectional, retrospective study in primary care setting. Spine (Phila Pa 1976) 2005 Aug 1;30(15):1777–1785.
    1. Barham L. Economic burden of chronic pain across Europe. J Pain Palliat Care Pharmacother. 2012 Mar 07;26(1):70–72. doi: 10.3109/15360288.2011.650364.
    1. Linton SJ. A review of psychological risk factors in back and neck pain. Spine (Phila Pa 1976) 2000 May 1;25(9):1148–1156.
    1. Boersma K, Linton S. Early assessment of psychological factors: the Örebro Screening Questionnaire for Pain. In: Linton SJ, editor. New Avenues for the Prevention of Chronic Musculoskeletal Pain and Disability. Amsterdam: Elsevier; 2002.
    1. Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007 Jul;133(4):581–624. doi: 10.1037/0033-2909.133.4.581.
    1. Dominick CH, Blyth FM, Nicholas MK. Unpacking the burden: understanding the relationships between chronic pain and comorbidity in the general population. Pain. 2012 Feb;153(2):293–304. doi: 10.1016/j.pain.2011.09.018.
    1. Guzmán J, Esmail R, Karjalainen K, Malmivaara A, Irvin E, Bombardier C. Multidisciplinary rehabilitation for chronic low back pain: systematic review. BMJ. 2001 Jun 23;322(7301):1511–1516.
    1. The National Board of Health and Welfare National Medical Indications: Indications for Multimodal Rehabilitation for Long-Lasting Pain. 2011. [2016-01-07]. .
    1. Swedish Association of Local Authorities and Regions The Rehabilitation Warranty 2012 (in Swedish) 2013. Dec 12, [2016-02-01]. .
    1. Scascighini L, Toma V, Dober-Spielmann S, Sprott H. Multidisciplinary treatment for chronic pain: a systematic review of interventions and outcomes. Rheumatology (Oxford) 2008 May;47(5):670–678. doi: 10.1093/rheumatology/ken021.
    1. Kamper SJ, Apeldoorn AT, Chiarotto A, Smeets RJ, Ostelo RW, Guzman J, van Tulder MW. Multidisciplinary biopsychosocial rehabilitation for chronic low back pain: Cochrane systematic review and meta-analysis. BMJ. 2015;350:h444.
    1. Hållstam A, Stålnacke BM, Svensen C, Löfgren M. “Change is possible”: patients' experience of a multimodal chronic pain rehabilitation programme. J Rehabil Med. 2015 Mar;47(3):242–248. doi: 10.2340/16501977-1926.
    1. Sjöström R, Asplund R, Alricsson M. Evaluation of a multidisciplinary rehabilitation program with emphasis on musculoskeletal disorders: a 5-year follow-up. Work. 2013;45(2):175–182. doi: 10.3233/WOR-121551.
    1. Busch H, Bodin L, Bergström G, Jensen IB. Patterns of sickness absence a decade after pain-related multidisciplinary rehabilitation. Pain. 2011 Aug;152(8):1727–1733. doi: 10.1016/j.pain.2011.02.004.
    1. Kääpä EH, Frantsi K, Sarna S, Malmivaara A. Multidisciplinary group rehabilitation versus individual physiotherapy for chronic nonspecific low back pain: a randomized trial. Spine (Phila Pa 1976) 2006 Feb 15;31(4):371–376. doi: 10.1097/01.brs.0000200104.90759.8c.
    1. Jensen MP, Turner JA, Romano JM. Changes in beliefs, catastrophizing, and coping are associated with improvement in multidisciplinary pain treatment. J Consult Clin Psychol. 2001 Aug;69(4):655–662.
    1. Turner JA, Holtzman S, Mancl L. Mediators, moderators, and predictors of therapeutic change in cognitive-behavioral therapy for chronic pain. Pain. 2007 Feb;127(3):276–286. doi: 10.1016/j.pain.2006.09.005.
    1. Börsbo B, Gerdle B, Peolsson M. Impact of the interaction between self-efficacy, symptoms and catastrophising on disability, quality of life and health in with chronic pain patients. Disabil Rehabil. 2010;32(17):1387–1396. doi: 10.3109/09638280903419269.
    1. Costa LC, Maher CG, McAuley JH, Hancock MJ, Smeets RJ. Self-efficacy is more important than fear of movement in mediating the relationship between pain and disability in chronic low back pain. Eur J Pain. 2011 Feb;15(2):213–219. doi: 10.1016/j.ejpain.2010.06.014.
    1. Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004 Apr;31(2):143–164. doi: 10.1177/1090198104263660.
    1. Jensen MP, Nielson WR, Turner JA, Romano JM, Hill ML. Readiness to self-manage pain is associated with coping and with psychological and physical functioning among patients with chronic pain. Pain. 2003 Aug;104(3):529–537.
    1. Miles CL, Pincus T, Carnes D, Homer KE, Taylor SJ, Bremner SA, Rahman A, Underwood M. Can we identify how programmes aimed at promoting self-management in musculoskeletal pain work and who benefits? A systematic review of sub-group analysis within RCTs. Eur J Pain. 2011 Sep;15(8):e1–e11. doi: 10.1016/j.ejpain.2011.01.016.
    1. Livanda. [2016-02-01]. Livanda Internet Clinic Ltd
    1. Ström L, Pettersson R, Andersson G. A controlled trial of self-help treatment of recurrent headache conducted via the Internet. J Consult Clin Psychol. 2000 Aug;68(4):722–727.
    1. Buhrman M, Fältenhag S, Ström L, Andersson G. Controlled trial of Internet-based treatment with telephone support for chronic back pain. Pain. 2004 Oct;111(3):368–377. doi: 10.1016/j.pain.2004.07.021.
    1. Buhrman M, Nilsson-Ihrfeldt E, Jannert M, Ström L, Andersson G. Guided internet-based cognitive behavioural treatment for chronic back pain reduces pain catastrophizing: a randomized controlled trial. J Rehabil Med. 2011 May;43(6):500–505. doi: 10.2340/16501977-0805.
    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 Mar;2(1):82–92. doi: 10.1007/s13142-011-0107-2.
    1. Chiauzzi E, Pujol LA, Wood M, Bond K, Black R, Yiu E, Zacharoff K. painACTION-back pain: a self-management website for people with chronic back pain. Pain Med. 2010 Jul;11(7):1044–1058. doi: 10.1111/j.1526-4637.2010.00879.x.
    1. Williams DA, Kuper D, Segar M, Mohan N, Sheth M, Clauw DJ. Internet-enhanced management of fibromyalgia: a randomized controlled trial. Pain. 2010 Dec;151(3):694–702. doi: 10.1016/j.pain.2010.08.034.
    1. Carpenter KM, Stoner SA, Mundt JM, Stoelb B. An online self-help CBT intervention for chronic lower back pain. Clin J Pain. 2012 Jan;28(1):14–22. doi: 10.1097/AJP.0b013e31822363db.
    1. Ruehlman LS, Karoly P, Enders C. A randomized controlled evaluation of an online chronic pain self management program. Pain. 2012 Feb;153(2):319–330. doi: 10.1016/j.pain.2011.10.025.
    1. Boonstra AM, Reneman MF, Schiphorst PH, Waaksma BR, Stewart RE. Differences between patients with chronic musculoskeletal pain treated in an inpatient or an outpatient multidisciplinary rehabilitation program. Int J Rehabil Res. 2014 Jun;37(2):187–191. doi: 10.1097/MRR.0000000000000047.
    1. Huskisson E. Visual analogue scale. In: Melzack R, editor. Pain Measurement and Assessment. New York: Raven Press; 1983. pp. 33–37.
    1. Stone AA, Broderick JE, Schwartz JE. Validity of average, minimum, and maximum end-of-day recall assessments of pain and fatigue. Contemp Clin Trials. 2010 Sep;31(5):483–490. doi: 10.1016/j.cct.2010.06.004.
    1. Hawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP) Arthritis Care Res (Hoboken) 2011 Nov;63 Suppl 11:S240–S252. doi: 10.1002/acr.20543.
    1. Lorig K, Chastain RL, Ung E, Shoor S, Holman HR. Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheum. 1989 Jan;32(1):37–44.
    1. Lomi C, Nordholm LA. Validation of a Swedish version of the Arthritis Self-efficacy Scale. Scand J Rheumatol. 1992;21(5):231–237.
    1. Lomi C, Burckhardt C, Nordholm L, Bjelle A, Ekdahl C. Evaluation of a Swedish version of the arthritis self-efficacy scale in people with fibromyalgia. Scand J Rheumatol. 1995;24(5):282–287.
    1. Schwarzer R, Jerusalem M. Generalised Self-Efficacy Scale. In: Johnston M, Wright S, Weinman J, editors. Measures in Health Psychology: A User's Portfolio. Windsor: Nfer-Nelson; 1995. pp. 35–37.
    1. Koskinen-Hagman M, Schwarzer R, Jerusalem M. Swedish Version of the General Self-Efficacy Scale. 1999. [2016-02-01]. .
    1. Löve J, Moore CD, Hensing G. Validation of the Swedish translation of the General Self-Efficacy scale. Qual Life Res. 2012 Sep;21(7):1249–1253. doi: 10.1007/s11136-011-0030-5.
    1. Scholz U, Gutiérrez Doña B, Sud S, Schwarzer R. Is general self-efficacy a universal construct? Eur J Psychol Assess. 2002 Sep 1;18(3):242–251. doi: 10.1027//1015-5759.18.3.242.
    1. Jensen MP, Keefe FJ, Lefebvre JC, Romano JM, Turner JA. One- and two-item measures of pain beliefs and coping strategies. Pain. 2003 Aug;104(3):453–469.
    1. Jensen IB, Linton SJ. Coping strategies questionnaire (CSQ): reliability of the swedish version of the CSQ. Scand J Behav Ther. 1993 Jan;22(3-4):139–145. doi: 10.1080/16506079309455940.
    1. Gould R, Ilmarinen J, Järvisalo J, Koskinen S. Results of the Health Survey, Helsinki. 2000. [2016-02-03]. Dimensions of work ability .
    1. Stanford Patient Education Research Center. [2016-04-14]. Arthritis Self-Efficacy Scale .
    1. Durlak JA. How to select, calculate, and interpret effect sizes. J Pediatr Psychol. 2009 Oct;34(9):917–928. doi: 10.1093/jpepsy/jsp004.
    1. . [2016-02-01]. Effect size calculator .
    1. Dear BF, Titov N, Perry KN, Johnston L, Wootton BM, Terides MD, Rapee RM, Hudson JL. The Pain Course: a randomised controlled trial of a clinician-guided Internet-delivered cognitive behaviour therapy program for managing chronic pain and emotional well-being. Pain. 2013 Jun;154(6):942–950. doi: 10.1016/j.pain.2013.03.005.
    1. Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, Tarlov AR. Linking primary care performance to outcomes of care. J Fam Pract. 1998 Sep;47(3):213–220.
    1. Hirsh AT, Atchison JW, Berger JJ, Waxenberg LB, Lafayette-Lucey A, Bulcourf BB, Robinson ME. Patient satisfaction with treatment for chronic pain: predictors and relationship to compliance. Clin J Pain. 2005;21(4):302–310.
    1. Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum. 2008 Jul 15;59(7):1009–1017. doi: 10.1002/art.23817.
    1. Lambeek LC, van Mechelen W, Knol DL, Loisel P, Anema JR. Randomised controlled trial of integrated care to reduce disability from chronic low back pain in working and private life. BMJ. 2010;340:c1035.
    1. Shipton E, Ponnamperuma D, Wells E, Trewin B. Demographic characteristics, psychosocial measures, and pain in a sample of patients with persistent pain referred to a New Zealand tertiary pain medicine center. Pain Med. 2013 Jul;14(7):1101–1107. doi: 10.1111/pme.12113.
    1. Verkerk K, Luijsterburg PA, Ronchetti I, Miedema HS, Pool-Goudzwaard A, van Wingerden JP, Koes BW. Course and prognosis of recovery for chronic non-specific low back pain: design, therapy program and baseline data of a prospective cohort study. BMC Musculoskelet Disord. 2011;12:252. doi: 10.1186/1471-2474-12-252.
    1. Steele R, Mummery KW, Dwyer T. Development and process evaluation of an internet-based physical activity behaviour change program. Patient Educ Couns. 2007 Jul;67(1-2):127–136. doi: 10.1016/j.pec.2007.02.013.
    1. Mohr DC, Siddique J, Ho J, Duffecy J, Jin L, Fokuo JK. Interest in behavioral and psychological treatments delivered face-to-face, by telephone, and by internet. Ann Behav Med. 2010 Aug;40(1):89–98. doi: 10.1007/s12160-010-9203-7.
    1. Ludden GD, van Rompay TJ, Kelders SM, van Gemert-Pijnen JE. How to increase reach and adherence of Web-based interventions: a design research viewpoint. J Med Internet Res. 2015;17(7):e172. doi: 10.2196/jmir.4201.

Source: PubMed

3
Subskrybuj