Weak outcome predictors of multimodal rehabilitation at one-year follow-up in patients with chronic pain-a practice based evidence study from two SQRP centres

Björn Gerdle, Peter Molander, Gunilla Stenberg, Britt-Marie Stålnacke, Paul Enthoven, Björn Gerdle, Peter Molander, Gunilla Stenberg, Britt-Marie Stålnacke, Paul Enthoven

Abstract

Background: For patients with chronic pain, the heterogeneity of clinical presentations makes it difficult to identify patients who would benefit from multimodal rehabilitation programs (MMRP). Yet, there is limited knowledge regarding the predictors of MMRP's outcomes. This study identifies predictors of outcome of MMRPs at a 12-month follow-up (FU-12) based on data from the Swedish Quality Registry for Pain Rehabilitation (SQRP).

Methods: Patients with chronic pain from two clinical departments in Sweden completed the SQRP questionnaires-background, pain characteristics, psychological symptoms, function, activity/participation, health and quality of life-on three occasions: 1) during their first visit; 2) immediately after the completion of their MMRP; and 3) 12 months after completing the MMRP (n = 227). During the FU-12, the patients also retrospectively reported their global impressions of any changes in their perception of pain and their ability to handle their life situation in general.

Results: Significant improvements were found for pain, psychological symptoms, activity/participation, health, and quality of life aspects with low/medium strong effects. A general pattern was observed from the analyses of the changes from baseline to FU-12; the largest improvements in outcomes were significantly associated with poor situations according to their respective baseline scores. Although significant regressors of the investigated outcomes were found, the significant predictors were weak and explained a minor part of the variation in outcomes (15-25%). At the FU-12, 53.6% of the patients reported that their pain had decreased and 80.1% reported that their life situation in general had improved. These improvements were associated with high education, low pain intensity, high health level, and work importance (only pain perception). The explained variations were low (9-11%).

Conclusions: Representing patients in real-world clinical settings, this study confirmed systematic reviews that outcomes of MMRP are associated with broad positive effects. A mix of background and baseline variables influenced the outcomes investigated, but the explained variations in outcomes were low. There is still a need to develop standardized and relatively simple outcomes that can be used to evaluate MMRP in trials, in clinical evaluations at group level, and for individual patients.

Keywords: Multidisciplinary; Multimodal; Outcome; Pain; Rehabilitation.

References

    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;10(4):287–333. doi: 10.1016/j.ejpain.2005.06.009.
    1. Turk DC, Dworkin RH, Revicki D, Harding G, Burke LB, Cella D, Cleeland CS, Cowan P, Farrar JT, Hertz S, et al. Identifying important outcome domains for chronic pain clinical trials: an IMMPACT survey of people with pain. Pain. 2008;137(2):276–285. doi: 10.1016/j.pain.2007.09.002.
    1. Casarett D, Karlawish J, Sankar P, Hirschman K, Asch DA. Designing pain research from the patient’s perspective: what trial end points are important to patients with chronic pain? Pain Med. 2001;2(4):309–316. doi: 10.1046/j.1526-4637.2001.01041.x.
    1. Robinson ME, Brown JL, George SZ, Edwards PS, Atchison JW, Hirsh AT, Waxenberg LB, Wittmer V, Fillingim RB. Multidimensional success criteria and expectations for treatment of chronic pain: the patient perspective. Pain Med. 2005;6(5):336–345. doi: 10.1111/j.1526-4637.2005.00059.x.
    1. Brown JL, Edwards PS, Atchison JW, Lafayette-Lucey A, Wittmer VT, Robinson ME. Defining patient-centered, multidimensional success criteria for treatment of chronic spine pain. Pain Med. 2008;9(7):851–862. doi: 10.1111/j.1526-4637.2007.00357.x.
    1. Merrick D, Sundelin G, Stålnacke BM. One-Year Follow-up of Two Different Rehabilitation Strategies for Patients with Chronic Pain. J Rehabil Med. 2012;44(9):764–773. doi: 10.2340/16501977-1022.
    1. Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, Aboyans V, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2163–2196. doi: 10.1016/S0140-6736(12)61729-2.
    1. Linton S, Bergbom S. Understanding the link between depression and pain. Scand J Pain. 2011;2:47–54. doi: 10.1016/j.sjpain.2011.01.005.
    1. Ossipov MH, Dussor GO, Porreca F. Central modulation of pain. J Clin Invest. 2010;120(11):3779–3787. doi: 10.1172/JCI43766.
    1. Gatchel R, Peng Y, Peters M, Fuchs P, Turk D. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007;133:581–624. doi: 10.1037/0033-2909.133.4.581.
    1. WHO . International Classification of Functioning, Disability and Health (ICF) 2001.
    1. Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, Kerns RD, Stucki G, Allen RR, Bellamy N, 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. Hawe P, Shiell A, Riley T. Complex interventions: how “out of control” can a randomised controlled trial be? BMJ. 2004;328(7455):1561–1563. doi: 10.1136/bmj.328.7455.1561.
    1. Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, Tyrer P. Framework for design and evaluation of complex interventions to improve health. BMJ. 2000;321(7262):694–696. doi: 10.1136/bmj.321.7262.694.
    1. Bennett M, Closs S. Methodological issues in nonpharamacological trials for chronic pain. Pain Clin Updates. 2010;18(2):1–6.
    1. SBU . Methods for treatment of chronic pain a systematic review of the literature (In Swedish: Metoder för behandling av långvarig smärta : en systematisk litteraturöversikt) Stockholm: SBU – Swedish Council on Health Technology Assessment; 2006. pp. 1–2.
    1. SBU . SBU-rapport. Stockholm: SBU – Swedish Council on Health Technology Assessment; 2010. Rehabilitation of chronic pain [In Swedish: Rehabilitering vid långvarig smärta. En systematisk litteraturöversikt]
    1. Scascighini L, Toma V, Dober-Spielmann S, Sprott H. Multidisciplinary treatment for chronic pain: a systematic review of interventions and outcomes. Rheumatology. 2008;47(5):670–678. doi: 10.1093/rheumatology/ken021.
    1. Busch H, Bodin L, Bergstrom G, Jensen IB. Patterns of sickness absence a decade after pain-related multidisciplinary rehabilitation. Pain. 2011;152(8):1727–1733. doi: 10.1016/j.pain.2011.02.004.
    1. Norrefalk JR, Ekholm K, Linder J, Borg K, Ekholm J. Evaluation of a multiprofessional rehabilitation programme for persistent musculoskeletal-related pain: economic benefits of return to work. J Rehabil Med. 2008;40(1):15–22. doi: 10.2340/16501977-0131.
    1. Jensen IB, Busch H, Bodin L, Hagberg J, Nygren A, Bergstrom G. Cost effectiveness of two rehabilitation programmes for neck and back pain patients: A seven year follow-up. Pain. 2009;142(3):202–208. doi: 10.1016/j.pain.2008.12.015.
    1. Munder T, Brutsch O, Leonhart R, Gerger H, Barth J. Researcher allegiance in psychotherapy outcome research: an overview of reviews. Clin Psychol Rev. 2013;33(4):501–511. doi: 10.1016/j.cpr.2013.02.002.
    1. Margison FR, Barkham M, Evans C, McGrath G, Clark JM, Audin K, Connell J. Measurement and psychotherapy. Evidence-based practice and practice-based evidence. Br J Psychiatry. 2000;177:123–130. doi: 10.1192/bjp.177.2.123.
    1. Whiteneck GG, Gassaway J. SCIRehab uses practice-based evidence methodology to associate patient and treatment characteristics with outcomes. Arch Phys Med Rehabil. 2013;94(4 Suppl):S67–74. doi: 10.1016/j.apmr.2012.12.022.
    1. Ahlberg M, Axelsson S, Eckerlund I, Gerdle B, Stålnacke B-M, Söderlund A, Åsenlöf P, Andersson G: Rehabilitering vid långvarig smärta: En systematisk litterturöversikt. In: Stockholm: SBU - Statens beredning för medicinisk utvärdering; 2010.
    1. Laisné F, Lecomte C, Corbière M. Biopsychosocial predictors of prognosis in musculoskeletal disorders: a systematic review of the literature (corrected and republished) Disabil Rehabil. 2012;34(22):1912–1941. doi: 10.3109/09638288.2012.729362.
    1. Heiskanen T, Roine R, Kalso E. Multidisciplinary pain treatment - which patients do benefit? Scand J Pain. 2012;3:201–207. doi: 10.1016/j.sjpain.2012.05.073.
    1. de Rooij A, Roorda LD, Otten RH, van der Leeden M, Dekker J, Steultjens MP. Predictors of multidisciplinary treatment outcome in fibromyalgia:a systematic review. Disabil Rehabil. 2013;35(6):437–449. doi: 10.3109/09638288.2012.699582.
    1. van der Hulst M, Vollenbroek-Hutten MM, Ijzerman MJ. A systematic review of sociodemographic, physical, and psychological predictors of multidisciplinary rehabilitation-or, back school treatment outcome in patients with chronic low back pain. Spine (Phila Pa 1976) 2005;30(7):813–825. doi: 10.1097/01.brs.0000157414.47713.78.
    1. Laisne F, Lecomte C, Corbiere M. Biopsychosocial predictors of prognosis in musculoskeletal disorders: a systematic review of the literature (corrected and republished) *. Disabil Rehabil. 2012;34(22):1912–1941. doi: 10.3109/09638288.2012.729362.
    1. Ang DC, Bair MJ, Damush TM, Wu J, Tu W, Kroenke K. Predictors of pain outcomes in patients with chronic musculoskeletal pain co-morbid with depression: results from a randomized controlled trial. Pain Med. 2010;11(4):482–491. doi: 10.1111/j.1526-4637.2009.00759.x.
    1. Oh TH, Hoskin TL, Luedtke CA, Weingarten TN, Vincent A, Kim CH, Thompson JM. Predictors of clinical outcome in fibromyalgia after a brief interdisciplinary fibromyalgia treatment program: single center experience. PM R. 2012;4(4):257–263. doi: 10.1016/j.pmrj.2011.10.014.
    1. de Rooij A, van der Leeden M, Roorda LD, Steultjens MP, Dekker J. Predictors of outcome of multidisciplinary treatment in chronic widespread pain: an observational study. BMC Musculoskelet Disord. 2013;14(1):133. doi: 10.1186/1471-2474-14-133.
    1. Turk DC, Dworkin RH, Allen RR, Bellamy N, Brandenburg N, Carr DB, Cleeland C, Dionne R, Farrar JT, Galer BS, et al. Core outcome domains for chronic pain clinical trials: IMMPACT recommendations. Pain. 2003;106(3):337–345. doi: 10.1016/j.pain.2003.08.001.
    1. Nationell satsning på kvalitetsregister inom vården (In Swedish) []
    1. Turk DC, Rudy TE. Toward an empirically derived taxonomy of chronic pain patients: integration of psychological assessment data. J Consult Clin Psychol. 1988;56(2):233–238. doi: 10.1037/0022-006X.56.2.233.
    1. Turk DC, Rudy TE. Towards a comprehensive assessment of chronic pain patients. Behav Res Ther. 1987;25(4):237–249. doi: 10.1016/0005-7967(87)90002-7.
    1. Bergström G, Jensen IB, Bodin L, Linton SJ, Nygren AL, Carlsson SG. Reliability and factor structure of the Multidimensional Pain Inventory--Swedish Language Version (MPI-S) Pain. 1998;75(1):101–110. doi: 10.1016/S0304-3959(97)00210-8.
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x.
    1. Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52(2):69–77. doi: 10.1016/S0022-3999(01)00296-3.
    1. Lisspers J, Nygren A, Söderman E. Hospital Anxiety and Depression Scale (HAD): some psychometric data for a Swedish sample. Acta Psychiatr Scand. 1997;96(4):281–286. doi: 10.1111/j.1600-0447.1997.tb10164.x.
    1. McCracken L, Vowles K, Eccleston C. Acceptance of chronic pain: component analysis and a revised assessment method. Pain. 2004;107:159–166. doi: 10.1016/j.pain.2003.10.012.
    1. Wicksell R, Olsson G, 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. 2008;13:760–768. doi: 10.1016/j.ejpain.2008.09.003.
    1. Vlaeyen J, Kole-Snijders A, Boeren R, van Eek H. Fear of movement/(re)injury in chronic low back pain and its relation to behavioral performance. Pain. 1995;62:363–372. doi: 10.1016/0304-3959(94)00279-N.
    1. Roelofs J, Sluiter J, Frings-Dresen M, Goossens M, Thibault P, Boersma K, Vlaeyen J. Fear of movement and (re)injury in chronic musculoskeletal pain: Evidence for an invariant two-factor model of the Tampa Scale for Kinesiophobia across pain diagnoses and Dutch, Swedish, and Canadian samples. Pain. 2007;131:181–190. doi: 10.1016/j.pain.2007.01.008.
    1. Crombez G, Vlaeyen J, Heuts P, Lysens R. Pain-related fear is more disabling than pain itself: evidence on the role of pain-related fear in chronic back pain disability. Pain. 1999;80:329–339. doi: 10.1016/S0304-3959(98)00229-2.
    1. Fugl-Meyer AR, Fugl-Meyer KS. The coping process after traumatic brain injury. Scand J Rehabil Med Suppl. 1988;17:51–53. doi: 10.3109/03009748809098759.
    1. Sullivan M, Karlsson J, Ware J. The Swedish 36 Health survey. Evaluation of data quality, scaling assumption, reliability and construct validity across general populations in Sweden. Soc Sci Med. 1995;41:1349–1358. doi: 10.1016/0277-9536(95)00125-Q.
    1. EuroQol EuroQol: a new facility for the measurement of health-related quality of life. Health Policy. 1990;16:199–208. doi: 10.1016/0168-8510(90)90421-9.
    1. Brooks R. EuroQol: the current state of play. Health Policy. 1996;37(1):53–72. doi: 10.1016/0168-8510(96)00822-6.
    1. Dolan P, Sutton M. Mapping visual analogue scale health state valuations onto standard gamble and time trade-off values. Soc Sci Med. 1997;44(10):1519–1530. doi: 10.1016/S0277-9536(96)00271-7.
    1. Lakens D: Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in Psychology 2013, 863(4(November),):doi:10.3389/fpsyg.2013.00863.
    1. Cumming G. Understanding the New Statistics: Effect sizes, Confidence Intervals, and Meta-Analysis. New York: Routledge; 2012.
    1. Cohen J. Statistical Power Analysis for the Behavioral Sciences. New York: Routledge Academic; 1988.
    1. Jansen JJ, Szymanska E, Hoefsloot HC, Jacobs DM, Strassburg K, Smilde AK. Between Metabolite Relationships: an essential aspect of metabolic change. Metabolomics. 2012;8(3):422–432. doi: 10.1007/s11306-011-0316-1.
    1. Pohjanen E, Thysell E, Jonsson P, Eklund C, Silfver A, Carlsson IB, Lundgren K, Moritz T, Svensson MB, Antti H. A multivariate screening strategy for investigating metabolic effects of strenuous physical exercise in human serum. J Proteome Res. 2007;6(6):2113–2120. doi: 10.1021/pr070007g.
    1. Eriksson L, Byrne T, Johansson E, Trygg J, Vikström C. Multi- and Megavariate Data Analysis - Basic Principles and Applications. 3. Malmö: Umetrics Academy; 2013.
    1. Wheelock AM, Wheelock CE. Trials and tribulations of ’omics data analysis: assessing quality of SIMCA-based multivariate models using examples from pulmonary medicine. Mol Biosyst. 2013;9(11):2589–2596. doi: 10.1039/c3mb70194h.
    1. Eriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikström C, Wold S. Multi- and Megavariate Data analysis; part I and II. 2. Umeå: Umetrics AB; 2006.
    1. Cohen J. A power primer. Psychol Bull. 1992;112(1):155–159. doi: 10.1037/0033-2909.112.1.155.
    1. Boonstra AM, Reneman MF, Waaksma BR, Schiphorst Preuper HR, Stewart RE. Predictors of multidisciplinary treatment outcome in patients with chronic musculoskeletal pain. Disabil Rehabil. 2015;37(14):1242–1250. doi: 10.3109/09638288.2014.961657.
    1. Morley S, Williams A, Hussain S. Estimating the clinical effectiveness of cognitive behavioural therapy in the clinic: evaluation of a CBT informed pain management programme. Pain. 2008;137(3):670–680. doi: 10.1016/j.pain.2008.02.025.
    1. Matthias MS, Miech EJ, Myers LJ, Sargent C, Bair MJ. “There’s more to this pain than just pain”: how patients’ understanding of pain evolved during a randomized controlled trial for chronic pain. J Pain. 2012;13(6):571–578. doi: 10.1016/j.jpain.2012.03.007.
    1. Thompson M, McCracken LM. Acceptance and related processes in adjustment to chronic pain. Curr Pain Headache Rep. 2011;15(2):144–151. doi: 10.1007/s11916-010-0170-2.
    1. McCracken LM, Zhao-O’Brien J. General psychological acceptance and chronic pain: There is more to accept than the pain itself. Eur J Pain. 2010;14(2):170–175. doi: 10.1016/j.ejpain.2009.03.004.
    1. Salaffi F, Stancati A, Silvestri CA, Ciapetti A, Grassi W. Minimal clinically important changes in chronic musculoskeletal pain intensity measured on a numerical rating scale. Eur J Pain. 2004;8(4):283–291. doi: 10.1016/j.ejpain.2003.09.004.
    1. Michaelson P, Sjolander P, Johansson H. Factors predicting pain reduction in chronic back and neck pain after multimodal treatment. Clin J Pain. 2004;20(6):447–454. doi: 10.1097/00002508-200411000-00010.
    1. Keel PJ, Wittig R, Deutschmann R, Diethelm U, Knusel O, Loschmann C, Matathia R, Rudolf T, Spring H. Effectiveness of in-patient rehabilitation for sub-chronic and chronic low back pain by an integrative group treatment program (Swiss Multicentre Study) Scand J Rehabil Med. 1998;30(4):211–219. doi: 10.1080/003655098443959.
    1. Pina-Sánchez J, Koskinen J, Plewis I. CCSR Working paper. The Cathie Marsh Centre for Census and Survey Research. Manchester: University of Manchester; 2012. Measurement Error in retrospective reports of unemployment; pp. 1–56.
    1. Bernard H, Killworth P, Kronenfeld D, Sailer L. The problem of informant accuracy: the validity of retrospective data. Ann Rev Anthropol. 1984;13:495–517. doi: 10.1146/annurev.an.13.100184.002431.
    1. Van der Vaart W, Van der Zouwen J, Dijkstra W. Retrospective questions: data quality, task difficulty and the use of checklist. Qual Quantity. 1995;29:299–315. doi: 10.1007/BF01101976.
    1. Schwartz N. Retrospective and concurrent self-reports: the rationale for real-time data capture. In: Stone A, Shiffman S, Atienza A, Nebeling L, editors. The science of real-time data capture: Self-reports in health research. New York: Oxford University Press; 2007. pp. 11–26.
    1. Westlander G. Refined use of standardized self-reporting in intervention studies (In swedish: Förfinad användning av standardiserad självrapportering i interventionstudier) Socialvetenskaplig tidskrift. 2004;2:168–181.
    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 Database Syst Rev. 2014;9:CD000963.
    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;47(5):670–678. doi: 10.1093/rheumatology/ken021.
    1. Feise RJ. Do multiple outcome measures require p-value adjustment? BMC Med Res Methodol. 2002;2:8. doi: 10.1186/1471-2288-2-8.
    1. Turk DC, Dworkin RH, McDermott MP, Bellamy N, Burke LB, Chandler JM, Cleeland CS, Cowan P, Dimitrova R, Farrar JT, et al. Analyzing multiple endpoints in clinical trials of pain treatments: IMMPACT recommendations. Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials. Pain. 2008;139(3):485–493. doi: 10.1016/j.pain.2008.06.025.
    1. Bagiella E. Clinical trials in rehabilitation: single or multiple outcomes? Arch Phys Med Rehabil. 2009;90(11 Suppl):S17–21. doi: 10.1016/j.apmr.2009.08.133.
    1. Tyler KM, Normand SL, Horton NJ. The use and abuse of multiple outcomes in randomized controlled depression trials. Contemp Clin Trials. 2011;32(2):299–304. doi: 10.1016/j.cct.2010.12.007.
    1. Teixeira-Pinto A, Mauri L. Statistical analysis of noncommensurate multiple outcomes. Circ Cardiovasc Qual Outcomes. 2011;4(6):650–656. doi: 10.1161/CIRCOUTCOMES.111.961581.
    1. Hauser W, Bernardy K, Arnold B, Offenbacher M, Schiltenwolf M. Efficacy of multicomponent treatment in fibromyalgia syndrome: a meta-analysis of randomized controlled clinical trials. Arthritis Rheum. 2009;61(2):216–224. doi: 10.1002/art.24276.

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