Journal of Rehabilitation Medicine 51-4inkOmslag | Page 54

288 M. Rivano Fischer et al. quently repeated observations, following each person, allows for some conclusions to be drawn regarding the changes observed. One way to make comparisons between time periods is to find appropriate control subjects or a reference group (not subjected to the studied intervention) (9). However, there are problems inherent in the identifi- cation of adequate controls, the main one being the assumption that patients referred to MMR or other treatments are alike. Referral sources, usually physici- ans, make judgements before deciding whether to send patients to pain rehabilitation, judgement weighting several aspects. Therefore, important variables that should be controlled for in any matching procedure, such as functioning, activity levels, and motivation for change, cannot be controlled for by matching the usual variables, diagnoses, age and sex. Furthermore, patients with pain who are not referred to a specific rehabilitation may seek healthcare in other places, which may often not have been controlled for. A study reported by Post Sennehed found ”limited feasibility in identifying 2 comparable groups for evaluation of the multimodal rehabilitation programme” (30). Our study, therefore, approached the problem by using a large sample and repeated measures over an extended period of time, in order to obtain answers as to whether MMR has an impact on sick-leave benefits. Future research The possibility of linking SQRP data to the SSIA data- base opens up several avenues for future research. One such area is that of identifying subgroups of patients participating in MMR in relation to changes in their patterns of sick leave. Other areas refer to possible as- sociations between patterns of physical, psychological or activity-related limitations reported by patients and patterns of sick leave, the prediction value that patients’ self-descriptions might have on patterns of sick leave, and how work conditions interact with outcomes of MMR at long-term follow-up after interventions. Conclusion Since the extent of sick-leave benefits seems to increase during the year prior to participating in MMR and de- crease during 2 years after rehabilitation, the results of this study highlight the importance of offering MMR to patients with chronic pain. The results, based on data from 2 large national databases, indicate that MMR has an impact on sick-leave benefits regardless of sex or policy changes in the sick-leave benefit system. The authors have no conflicts of interest to declare. www.medicaljournals.se/jrm 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: 287–333. 2. Lidwall U. Sick leave diagnoses and return to work: a Swe- dish register study. Disabil Rehabil 2015; 37: 396–410. 3. Anema JR, Schellart AJ, Cassidy JD, Loisel P, Veerman TJ, van der Beek AJ. Can cross country differences in return- to-work after chronic occupational back pain be explai- ned? An exploratory analysis on disability policies in a six country cohort study. J Occup Rehabil 2009; 19: 419–426. 4. Karlsson NE, Varstensen JM, Gjesdal S, Alexanderson KA. Risk factors for disability pension in a population-based cohort of men and women on long-term sick leave in Sweden. Eur J Public Health 2008; 18: 224–231. 5. SBU. [The Swedish Council on Health Technology As- sessment in Health Care, (SBU), Rehabilitation in chronic pain – a systematic review.] SBU report Vol. no 198, 2010. Stockholm: Swedish National Board of Health and Welfare (in Swedish). 6. Jensen IB, Bergström G, Ljungqvist T, Bodin L. A 3-year follow-up of a multidisciplinary rehabilitation programme for back and neck pain. Pain 2005; 115: 273–283. 7. Norlund A, Ropponen A, Alexanderson K. Multidisciplinary interventions: review of studies of return to work after rehabilitation for low back pain. J Rehabil Med 2009; 41: 115–121. 8. Merrick D, Sundelin G, Stålnacke BM. An observational study of two rehabilitation strategies for patients with chronic pain, focusing on sick leave at one-year follow-up. J Rehabil Med 2013; 45: 1049–1057. 9. Norrefalk JR, Ekholm K, Linder J, Borg K, Ekholm J. Evalua- tion of a multiprofessional rehabilitation programme for persistent musculoskeletal-related pain: economic benefits of return to work. J Rehabil Med 2008; 40: 15–22. 10. Meijer EM, Frings-Dresen MH, Sluiter JK. Effects of office innovation on office workers’ health and performance. Ergonomics 2009; 52: 1027–1038. 11. Meijer EM, Sluiter JK, Heyma A, Sadiraj K, Frings-Dresen MH. Cost-effectiveness of multidisciplinary treatment in sick-listed patients with upper extremity musculoskeletal disorders: a randomized, controlled trial with one-year fol- low-up. Int Arch Occup Environ Health 2006; 79: 654–664. 12. Linton SJ, Boersma K, Jansson M, Svärd L, Botvalde M. The effects of cognitive-behavioral and physical therapy preventive interventions on pain-related sick leave: a randomized controlled trial. Clin J Pain 2005; 21: 109–119. 13. Nyberg V, Sanne H, Sjölund BH. Swedish quality registry for pain rehabilitation: purpose, design, implementation and characteristics of referred patients. J Rehabil Med 2011; 43: 50–57. 14. Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 2005; 113: 9–19. 15. SBU. [The Swedish Council on Health Technology Assess- ment in Health Care, (SBU), Methods of treating chronic pain]. SBU report Vol. no 177/1-2 2006.] Stockholm: Swe- dish National Board of Health and Welfare. (in Swedish). 16. WHO, World Health Organization. International Classifi- cation of Functioning, Disability and Health (ICF). 2001, Geneva: WHO. 17. Zigmond AS, Snaith RP. The hospital anxiety and depres- sion scale. Acta Psychiatr Scand 1983; 67: 361–370. 18. Lisspers J, Nygren A, Söderman E. Hospital Anxiety and Depression Scale (HAD): some psychometric data for a Swedish sample. Acta Psychiatr Scand 1997; 96: 281–286. 19. Kerns RD, Turk DC, Rudy TE. The West Haven-Yale Mul- tidimensional Pain Inventory (WHYMPI). Pain 1985; 23: 345–356.