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  • Review Article
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Pain measurement in patients with low back pain

Abstract

Pain is a multidimensional experience that is a prominent feature of many musculoskeletal disorders. Despite its subjective nature, pain is a highly relevant complaint; hence, nothing should deter physicians from attempting to formally assess it. This Review summarizes the main aspects of pain measurement from a practical standpoint, with a specific focus on low back pain. On balance, for the assessment of pain intensity, categorical scales with verbal descriptors or numerical rating scales seem to be preferable to traditional visual analogue scales, although no single best measure can be recommended. Pain per se should be assessed, rather than surrogate measures such as analgesic use. Back and leg pain should be evaluated separately in patients in whom these conditions coexist. For assessing change, prospective measurements are preferable to retrospective reports. Pain is not synonymous with function or quality of life, and other tools covering these important outcome dimensions should complement the assessment of pain, especially in patients with chronic symptoms. Clinicians should be aware of the psychometric properties of the tool to be used, including its level of imprecision (random measurement error) and its minimum clinically important difference (score difference indicating meaningful change in clinical status).

Key Points

  • The evaluation of pain should be part of a physician's daily clinical activity

  • In low back pain and other painful musculoskeletal disorders, pain per se should be assessed, rather than surrogate measures such as analgesic use

  • For assessment of pain intensity, categorical scales with verbal descriptors and numerical rating scales appear to be preferable to traditional visual analogue scales; however, there is no single best tool and there is a tool for everyone

  • In patients with sciatica, pain in the lumbar area and pain in the lower limb are two different dimensions that should be evaluated separately

  • Pain is not synonymous with function or quality of life, and other tools covering these important outcome dimensions are recommended for clinical practitioners

  • For research purposes, tools should be selected according to the purpose of the study, the population to be evaluated and the most suitable method for gathering data; in assessing change over time, prospective measurements are preferable to retrospective reports

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References

  1. Charette SL and Ferrell BA (2007) Rheumatic diseases in the elderly: assessing chronic pain. Rheum Dis Clin North Am 33: 109–122

    Article  Google Scholar 

  2. Sokka T (2005) Assessment of pain in rheumatic diseases. Clin Exp Rheumatol 23: S77–S84

    CAS  PubMed  Google Scholar 

  3. Watkins E et al. (2006) Silent pain sufferers. Mayo Clin Proc 81: 167–171

    Article  Google Scholar 

  4. Bombardier C (2000) Outcome assessments in the evaluation of treatment of spinal disorders: summary and general recommendations. Spine 25: 3100–3103

    Article  CAS  Google Scholar 

  5. Mannion AF et al. (2005) Outcome assessment in low back pain: how low can you go? Eur Spine J 14: 1014–1026

    Article  Google Scholar 

  6. Ferrer M et al. (2006) Validation of a minimum outcome core set in the evaluation of patients with back pain. Spine 31: 1372–1379; discussion 1380

    Article  Google Scholar 

  7. Mannion AF et al. (2001) Active therapy for chronic low back pain. Part 3. Factors influencing self-rated disability and its change following therapy. Spine 26: 920–929

    Article  CAS  Google Scholar 

  8. McGorry RW et al. (2000) The relation between pain intensity, disability, and the episodic nature of chronic and recurrent low back pain. Spine 25: 834–841

    Article  CAS  Google Scholar 

  9. Hansson TH and Hansson EK (2000) The effects of common medical interventions on pain, back function, and work resumption in patients with chronic low back pain: a prospective 2-year cohort study in six countries. Spine 25: 3055–3064

    Article  CAS  Google Scholar 

  10. Gronblad M et al. (1997) Relationships between spinal mobility, physical performance tests, pain intensity and disability assessments in chronic low back pain patients. Scand J Rehabil Med 29: 17–24

    CAS  PubMed  Google Scholar 

  11. Fillingim RB et al. (2003) Clinical characteristics of chronic back pain as a function of gender and oral opioid use. Spine 28: 143–150

    Article  Google Scholar 

  12. Pengel LH et al. (2004) Responsiveness of pain, disability, and physical impairment outcomes in patients with low back pain. Spine 29: 879–883

    Article  Google Scholar 

  13. Walsh TL et al. (2003) Is a condition-specific instrument for patients with low back pain/leg symptoms really necessary? The responsiveness of the Oswestry Disability Index, MODEMS, and the SF-36. Spine 28: 607–615

    PubMed  Google Scholar 

  14. IASP Task Force on Taxonomy (1994) Classification of Chronic Pain: Descriptions of Chronic Pain Syndromes and Definitions of Pain Terms, edn 2. Seattle, WA: IASP Press

  15. Rodriguez CS (2001) Pain measurement in the elderly: a review. Pain Manag Nurs 2: 38–46

    Article  CAS  Google Scholar 

  16. Desbiens NA et al., for the SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment (1996) Pain and satisfaction with pain control in seriously ill hospitalized adults: findings from the SUPPORT research investigations. Crit Care Med 24: 1953–1961

    Article  CAS  Google Scholar 

  17. Harris IA et al. (2007) Factors associated with back pain after physical injury: a survey of consecutive major trauma patients. Spine 32: 1561–1565

    Article  Google Scholar 

  18. Bates MS et al. (1993) Ethnocultural influences on variation in chronic pain perception. Pain 52: 101–112

    Article  CAS  Google Scholar 

  19. Lund I et al. (2005) Gender differences in electrical pain threshold responses to transcutaneous electrical nerve stimulation (TENS). Neurosci Lett 375: 75–80

    Article  CAS  Google Scholar 

  20. Herr KA et al. (2004) Pain intensity assessment in older adults: use of experimental pain to compare psychometric properties and usability of selected pain scales with younger adults. Clin J Pain 20: 207–219

    Article  Google Scholar 

  21. Schierhout GH and Myers JE (1996) Is self-reported pain an appropriate outcome measure in ergonomic-epidemiologic studies of work-related musculoskeletal disorders? Am J Ind Med 30: 93–98

    Article  CAS  Google Scholar 

  22. Von Korff M et al. (2000) Assessing global pain severity by self-report in clinical and health services research. Spine 25: 3140–3151

    Article  CAS  Google Scholar 

  23. Zanoli G et al. (2000) Lessons learned searching for a HRQoL instrument to assess the results of treatment in persons with lumbar disorders. Spine 25: 3178–3185

    Article  CAS  Google Scholar 

  24. Haefeli M and Elfering A (2006) Pain assessment. Eur Spine J 15 (Suppl 1): S17–S24

    Article  Google Scholar 

  25. McGuire DB (1999) Measuring pain. In Instruments for Health-Care Research 528–561 (Eds Frank-Stromborg M and Olsen S) Boston: Jones and Bartlett

    Google Scholar 

  26. Ogon M et al. (1996) Chronic low back pain measurement with visual analogue scales in different settings. Pain 64: 425–428

    Article  CAS  Google Scholar 

  27. Hägg O et al. (2003) The clinical importance of changes in outcome scores after treatment for chronic low back pain. Eur Spine J 12: 12–20

    PubMed  Google Scholar 

  28. Jensen MP et al. (1986) The measurement of clinical pain intensity: a comparison of six methods. Pain 27: 117–126

    Article  CAS  Google Scholar 

  29. Bolognese JA et al. (2003) Response relationship of VAS and Likert scales in osteoarthritis efficacy measurement. Osteoarthritis Cartilage 11: 499–507

    Article  CAS  Google Scholar 

  30. Joyce CR et al. (1975) Comparison of fixed interval and visual analogue scales for rating chronic pain. Eur J Clin Pharmacol 8: 415–420

    Article  CAS  Google Scholar 

  31. Jensen MP et al. (1994) What is the maximum number of levels needed in pain intensity measurement? Pain 58: 387–392

    Article  CAS  Google Scholar 

  32. Zanoli G et al. (2001) Visual analog scales for interpretation of back and leg pain intensity in patients operated for degenerative lumbar spine disorders. Spine 26: 2375–2380

    Article  CAS  Google Scholar 

  33. Gagliese L et al. (2005) The measurement of postoperative pain: a comparison of intensity scales in younger and older surgical patients. Pain 117: 412–420

    Article  Google Scholar 

  34. Ferraz MB et al. (1990) Reliability of pain scales in the assessment of literate and illiterate patients with rheumatoid arthritis. J Rheumatol 17: 1022–1024

    CAS  PubMed  Google Scholar 

  35. Cardello AV et al. (2005) Development and testing of a labeled magnitude scale of perceived satiety. Appetite 44: 1–13

    Article  Google Scholar 

  36. Krabbe PF et al. (2006) Testing the interval-level measurement property of multi-item visual analogue scales. Qual Life Res 15: 1651–1661

    Article  Google Scholar 

  37. Bieri D et al. (1990) The Faces Pain Scale for the self-assessment of the severity of pain experienced by children: development, initial validation, and preliminary investigation for ratio scale properties. Pain 41: 139–150

    Article  CAS  Google Scholar 

  38. Ritter PL et al. (2006) Measurement of pain using the visual numeric scale. J Rheumatol 33: 574–580

    PubMed  Google Scholar 

  39. Chang CH et al. (2003) Should symptoms be scaled for intensity, frequency, or both? Palliat Support Care 1: 51–60

    Article  Google Scholar 

  40. Deyo RA et al. (1998) Outcome measures for low back pain research. A proposal for standardized use. Spine 23: 2003–2013

    Article  CAS  Google Scholar 

  41. Patrick DL et al. (1995) Assessing health-related quality of life in patients with sciatica. Spine 20: 1899–1909

    Article  CAS  Google Scholar 

  42. Mannion AF et al. (2006) Development of a German version of the Oswestry Disability Index. Part 1: cross-cultural adaptation, reliability, and validity. Eur Spine J 15: 55–65

    Article  CAS  Google Scholar 

  43. Ohlund C et al. (1996) Quantified pain drawing in subacute low back pain. Validation in a nonselected outpatient industrial sample. Spine 21: 1021–1030; discussion 1031

    Article  CAS  Google Scholar 

  44. Carnes D et al. (2006) A systematic review of pain drawing literature: should pain drawings be used for psychologic screening? Clin J Pain 22: 449–457

    Article  Google Scholar 

  45. Von Baeyer CL et al. (1983) Invalid use of pain drawings in psychological screening of back pain patients. Pain 16: 103–107

    Article  CAS  Google Scholar 

  46. Rantanen P (2001) Physical measurements and questionnaires as diagnostic tools in chronic low back pain. J Rehabil Med 33: 31–35

    Article  CAS  Google Scholar 

  47. Ostelo RW and de Vet HC (2005) Clinically important outcomes in low back pain. Best Pract Res Clin Rheumatol 19: 593–607

    Article  Google Scholar 

  48. van der Roer N et al. (2006) Minimal clinically important change for pain intensity, functional status, and general health status in patients with nonspecific low back pain. Spine 31: 578–582

    Article  Google Scholar 

  49. Mannion AF et al. (2006) Development of a German version of the Oswestry Disability Index. Part 2: sensitivity to change after spinal surgery. Eur Spine J 15: 66–73

    Article  CAS  Google Scholar 

  50. Jamison RN et al. (2002) Comparative study of electronic vs. paper VAS ratings: a randomized, crossover trial using healthy volunteers. Pain 99: 341–347

    Article  Google Scholar 

  51. Jamison RN et al. (2001) Electronic diaries for monitoring chronic pain: 1-year validation study. Pain 91: 277–285

    Article  CAS  Google Scholar 

  52. von Korff M (2000) Point of view. Spine 25: 840–841

    Article  Google Scholar 

  53. Dunn KM et al. (2006) Characterizing the course of low back pain: a latent class analysis. Am J Epidemiol 163: 754–761

    Article  Google Scholar 

  54. Pellise F et al. (2005) Reliability of retrospective clinical data to evaluate the effectiveness of lumbar fusion in chronic low back pain. Spine 30: 365–368

    Article  Google Scholar 

  55. Dawson EG et al. (2002) Low back pain recollection versus concurrent accounts: outcomes analysis. Spine 27: 984–993; discussion 994

    Article  Google Scholar 

  56. Gedney JJ and Logan H (2006) Pain related recall predicts future pain report. Pain 121: 69–76

    Article  Google Scholar 

  57. Pengel LH et al. (2003) Acute low back pain: systematic review of its prognosis. BMJ 327: 323

    Article  Google Scholar 

  58. McGregor AH and Hughes SP (2002) The evaluation of the surgical management of nerve root compression in patients with low back pain. Part 1: the assessment of outcome. Spine 27: 1465–1470

    Article  Google Scholar 

  59. Hakkinen A et al. (2007) Changes in the total Oswestry Index and its ten items in females and males pre- and post-surgery for lumbar disc herniation: a 1-year follow-up. Eur Spine J 16: 347–352

    Article  Google Scholar 

  60. Balague F et al. (2007) Clinical update: low back pain. Lancet 369: 726–728

    Article  Google Scholar 

  61. Pautex S et al. (2006) Pain in severe dementia: self-assessment or observational scales? J Am Geriatr Soc 54: 1040–1045

    Article  Google Scholar 

  62. Bombardier C (2000) Glossary of terms. Spine 25: 3100–3202

    Article  CAS  Google Scholar 

  63. McHorney CA and Tarlov AR (1995) Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res 4: 293–307

    Article  CAS  Google Scholar 

  64. Lohr KN (2004) Assessing health status and quality-of-life instruments: attributes and review criteria. Qual Life Res 11: 193–205

    Article  Google Scholar 

  65. Hopkins WG (2000) Measures of reliability in sports medicine and science. Sports Med 30: 1–15

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Acknowledgements

A Mannion gratefully acknowledges funding support from the Swiss National Science Foundation National Research Programme 53 'Musculoskeletal Health – Chronic Pain' and the Schulthess Klinik Research Funds. Désirée Lie, University of California, Irvine, CA, is the author of and is solely responsible for the content of the learning objectives, questions and answers of the Medscape-accredited continuing medical education activity associated with this article.

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Correspondence to Anne F Mannion.

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Mannion, A., Balagué, F., Pellisé, F. et al. Pain measurement in patients with low back pain. Nat Rev Rheumatol 3, 610–618 (2007). https://doi.org/10.1038/ncprheum0646

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