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Computational psychological study of the Brief Scale for Psychiatric Problems in Orthopaedic Patients (BS-POP) for patients with chronic low back pain: verification of responsiveness

  • Original Article
  • Published:
Journal of Orthopaedic Science

Abstract

Background

We developed the Brief Scale for Psychiatric Problems in Orthopaedic Patients (BS-POP, physician and patient versions) and have previously shown that the BS-POP is reliable and has construct validity, criterion validity, and reproducibility. The present study aimed to proactively verify the responsiveness of the BS-POP with regard to chronic low back pain (LBP) patients.

Methods

The study subjects included 193 chronic LBP patients (81 males, 112 females; mean age 62 years) who had suffered from persistent LBP for ≥3 months. During the first test (before the treatment), the BS-POP, the Minnesota Multiphasic Personality Inventory (MMPI), the Profile of Mood States (POMS), the 36-item Short-form Health Survey version 2 (SF-36 v2), and the Roland–Morris Disability Questionnaire (RDQ) were conducted. The BS-POP, POMS, SF-36 v2, and RDQ for the third test were conducted (4–6 weeks after treatment) on all patients who had participated in the first test to determine the responsiveness of the BS-POP. The responsiveness of the BS-POP was investigated statistically.

Results

The total crude BS-POP scores were significantly lower for both physician and patient versions in the third test than in the first test. Moreover, the crude RDQ scores and SF-36 v2 items, physical functioning (PF), bodily pain (BP), MH, VT, and GH, and POMS items, tension–anxiety (T–A), D, F, and confusion (C) improved significantly, confirming responsiveness to treatment.

Discussion

The present findings indicate that the BS-POP possesses sufficient responsiveness from a computational psychology perspective. The BS-POP constitutes a tool enabling orthopaedists to easily identify psychiatric problems in orthopaedic patients.

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References

  1. Javik JG, Hollingworth W, Heagerty PJ, Haynor DR, Boyko EJ, Deyo RA. Three-year incidence of low back pain in an initially asymptomatic cohort. Spine. 2005;30(13):1541–8.

    Article  Google Scholar 

  2. Schieir O, Thombs BD, Hudson M, Taillefer S, Steele R, Berkson L, Bertrand C, Couture F, Fitzcharles MA. Symptoms of depression predict the trajectory of pain among patients with early inflammatory arthritis: a path analysis approach to assessing change. J Rheumatol. 2009;36(2):231–9.

    Article  PubMed  Google Scholar 

  3. Boos N, Rieder R, Shade V, Spratt KF, Semmer N, Aebi M. The diagnosis accuracy of magnetic resonance imaging, work perception, and psychological factors in identifying symptomatic disc herniations. Spine. 1995;20(24):2613–25.

    Article  CAS  PubMed  Google Scholar 

  4. Hagen KB, Holte HH, Tambs K, Bjerkedal T. Socioeconomic factors and disability retirement from back pain: a 1983–1993 population-based study in Norway. Spine. 2000;25(19):2480–7.

    Article  CAS  PubMed  Google Scholar 

  5. Linton SJ. A review of psychological risk factors in back and neck pain. Spine. 2000;25(9):1148–56.

    Article  CAS  PubMed  Google Scholar 

  6. Michel A, Kohimann T, Raspe H. The association between clinical findings on physical examination and self reported severity in back pain: result of a population-based study. Spine. 1997;22(3):296–304.

    Article  CAS  PubMed  Google Scholar 

  7. Waddell G, Newton M, Henderson I, Somerville D, Main CJ. A fear-avoidance beliefs questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993;52(2):157–68.

    Article  CAS  PubMed  Google Scholar 

  8. Krishnan KRR, France RD, Pelton S, McCann UD, Davidson J, Urban BJ. Chronic pain and depression. Classification of depression in chronic low back pain patients. Pain. 1985;22(3):279–87.

    Article  CAS  PubMed  Google Scholar 

  9. Yoshida K, Sekiguchi M, Otani K, Mashiko H, Shiota H, Wakita T, Niwa S, Konno S. A validation study of the brief scale for psychiatric problems in orthopaedic patients (BS-POP) for patients with chronic low back pain (verification of reliability, validity, and reproducibility). J Orthop Sci. 2011;16(1):7–13.

    Article  PubMed  Google Scholar 

  10. Hathaway SR, McKinley JC. Minnesota multiphasic personality inventory manual for administration and scoring. Minneapolis: University of Minnesota Press; 1983.

    Google Scholar 

  11. McNair DM, Lorr M, Droppleman LF. Profile of mood states. San Diego: Educational and Industrial Testing Service; 1992.

    Google Scholar 

  12. Fukuhara S, Suzukamo Y. Manual of SF-36v2 Japanese version: Institute for Health Outcomes and Process Evaluation Research, Kyoto, 2004.

  13. Roland M, Morris R. A study of the natural history of back pain. Part 1: development of a reliable and sensitive measure of disability in low-back pain. Spine. 1983;8(2):141–4.

    Article  CAS  PubMed  Google Scholar 

  14. Roland M, Morris R. A study of the natural history of low-back pain. Part 2: development of guidelines for trials of treatment in primary care. Spine. 1983;8(2):145–50.

    Article  CAS  PubMed  Google Scholar 

  15. Garratt AM, Ruta DA, Abdala MI, Buckingham JK, Russell IT. The SF-36 health survey questionnaire: an outcome measure suitable for routine use within the NHS? Br Med J. 1993;306(6890):1440–4.

    Article  CAS  Google Scholar 

  16. Pincus T, Burton AK, Vogel S, Field AP. A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine. 2002;27(5):E109–20.

    Article  PubMed  Google Scholar 

  17. van der Windt D, Hay E, Jallema P, Main C. Psychosocial interventions for low back pain in primary care. Spine. 2008;33(1):81–9.

    Article  PubMed  Google Scholar 

  18. Spengler DM, Freeman C, Westbrook R, Miller JW. Low-back pain following multiple lumbar spine procedures; failure of initial selection? Spine. 1980;5(4):356–60.

    Article  CAS  PubMed  Google Scholar 

  19. Trief PM, Grant W, Fredrickson B. A prospective study of psychological predictors of lumbar surgery outcome. Spine. 2000;25(20):2616–21.

    Article  CAS  PubMed  Google Scholar 

  20. Wiltse LL, Rocchio PD. Preoperative psychological tests as predictors of success of chemonucleolysis in the treatment of the low-back syndrome. J Bone Joint Surg Am. 1975;57(4):478–83.

    CAS  PubMed  Google Scholar 

  21. Trescot A, Glaser SE, Hansen H, Benyamin R, Patel S, Manchikanti L. Effectiveness of opioids in the treatment of chronic non-cancer pain. Pain Physician. 2008;11(2 Suppl):S181–200.

    PubMed  Google Scholar 

  22. Ballantyne JC, Shin NS. Efficacy of opioids for chronic pain: A review of the evidence. Clin J Pain. 2008;24(6):469–78.

    Article  PubMed  Google Scholar 

  23. Verdu B, Decosterd I, Buclin T, Stiefel F, Berney A. Antidepressants for the treatment of chronic pain. Drugs. 2008;68(18):2611–32.

    Article  CAS  PubMed  Google Scholar 

  24. van Kleef M, Barendse GAM, Kessels A, Voets HM, Weber WEJ, de Lange S. Randomized trial of radiofrequency lumbar facet denervation for chronic low back pain. Spine. 1999;24(18):1937–42.

    Article  PubMed  Google Scholar 

  25. Smeets RJEM, Vlaeyen JWS, Kester ADM, Knottnerus JA. Reduction of pain catastrophizing mediates the outcome of both physical and cognitive-behavioral treatment in chronic low back pain. J Pain. 2006;7(4):261–71.

    Article  PubMed  Google Scholar 

  26. Linton SJ, Nordin E. A 5-year follow-up evaluation of the health and economic consequences of an early cognitive behavioral intervention for back pain: a randomized, controlled trial. Spine. 2006;31(8):853–8.

    Article  PubMed  Google Scholar 

  27. Bair MJ, Wu J, Damush TM, Suthrland JM, Kroenke K. Association of depression and anxiety alone and in combination with chronic musculoskeletal pain in primary care patients. Psychosom Med. 2008;70(8):890–7.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  28. Kroenke K, Shen J, Oxman TE, Williams JW Jr, Dietrich AJ. Impact of pain on the outcomes of depressive treatment: result from the respect trial. Pain. 2008;134(1–2):209–15.

    Article  PubMed  Google Scholar 

  29. Flor H, Fydric T, Trurk DS. Efficacy of multidisciplinary pain treatment centers: a meta-analytic review. Pain. 1992;49(2):221–30.

    Article  CAS  PubMed  Google Scholar 

  30. Clark MR. Psychiatric issues in chronic pain. Curr Psychiatry Rep. 2009;11(3):243–50.

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors would like to thank the many individuals who participated in the present study and the physicians who provided valuable advice. This study was supported by Research Aid from the Japanese Orthopaedic Association. This research is the Japanese Orthopaedic Association Subsidized Science Project Research 2007-1.

Conflict of interest

The authors declare that they have no conflict of interest regarding the present manuscript.

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Correspondence to Katshuhiro Yoshida.

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Yoshida, K., Sekiguchi, M., Otani, K. et al. Computational psychological study of the Brief Scale for Psychiatric Problems in Orthopaedic Patients (BS-POP) for patients with chronic low back pain: verification of responsiveness. J Orthop Sci 20, 469–474 (2015). https://doi.org/10.1007/s00776-015-0694-8

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  • DOI: https://doi.org/10.1007/s00776-015-0694-8

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