Skip to main content

Advertisement

Log in

Focus article: report of the NIH task force on research standards for chronic low back pain

  • Report of the NIH Task Force
  • Published:
European Spine Journal Aims and scope Submit manuscript

Abstract

Despite rapidly increasing intervention, functional disability due to chronic low back pain (cLBP) has increased in recent decades. We often cannot identify mechanisms to explain the major negative impact cLBP has on patients’ lives. Such cLBP is often termed non-specific and may be due to multiple biologic and behavioral etiologies. Researchers use varied inclusion criteria, definitions, baseline assessments, and outcome measures, which impede comparisons and consensus. Therefore, NIH Pain Consortium charged a Research Task Force (RTF) to draft standards for research on cLBP. The resulting multidisciplinary panel recommended using 2 questions to define cLBP; classifying cLBP by its impact (defined by pain intensity, pain interference, and physical function); use of a minimum dataset to describe research participants (drawing heavily on the PROMIS methodology); reporting “responder analyses” in addition to mean outcome scores; and suggestions for future research and dissemination. The Pain Consortium has approved the recommendations, which investigators should incorporate into NIH grant proposals. The RTF believes that these recommendations will advance the field, help to resolve controversies, and facilitate future research addressing the genomic, neurologic, and other mechanistic substrates of chronic low back pain. We expect that the RTF recommendations will become a dynamic document and undergo continual improvement.

Perspective

A task force was convened by the NIH Pain Consortium with the goal of developing research standards for chronic low back pain. The results included recommendations for definitions, a minimum dataset, reporting outcomes, and future research. Greater consistency in reporting should facilitate comparisons among studies and the development of phenotypes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Accessing PROMIS Short Form Instruments. http://www.assessmentcenter.net/PromisForms.aspx. Accessed 2 February 2014

  2. PROsetta Stone: Linking Patient-Reported Outcome Measures. http://www.prosettastone.org. Accessed 2 February 2014

  3. Institutes of Medicine (2011) Relieving Pain in America: A Blueprint for Transforming Prevention, Care, Education, and Research. DC, The National Academies Press, Washington

    Google Scholar 

  4. Abraham I, Killackey-Jones B: Lack of evidence-based research for idiopathic low back pain: the importance of a specific diagnosis. Arch Intern Med 162:1442-1444, 2002. discussion 1447

  5. Amtmann D, Cook KF, Jensen MP, Chen WH, Choi S, Revicki D, Cella D, Rothrock N, Keefe F, Callahan L, Lai JS (2010) Development of a PROMIS item bank to measure pain interference. Pain 150:173–182

    PubMed Central  PubMed  Google Scholar 

  6. Apeldoorn AT, Bosmans JE, Ostelo RW, de Vet HC, van Tulder MW (2012) Cost-effectiveness of a classification-based system for sub-acute and chronic low back pain. Eur Spine J 21:1290–1300

    PubMed Central  PubMed  Google Scholar 

  7. Askew RL, Kim J, Chung H, Cook KF, Johnson KL, Amtmann D (2013) Development of a crosswalk for pain interference measured by the BPI and PROMIS pain interference short form. Qual Life Res 22:2769–2776

    PubMed  Google Scholar 

  8. Atlas SJ, Deyo RA, van den Ancker M, Singer DE, Keller RB, Patrick DL (2003) The Maine-Seattle back questionnaire: a 12-item disability questionnaire for evaluating patients with lumbar sciatica or stenosis: results of a derivation and validation cohort analysis. Spine 28:1869–1876

    PubMed  Google Scholar 

  9. Baliki MN, Petre B, Torbey S, Herrmann KM, Huang L, Schnitzer TJ, Fields HL, Apkarian AV (2012) Corticostriatal functional connectivity predicts transition to chronic back pain. Nat Neurosci 15:1117–1119

    CAS  PubMed Central  PubMed  Google Scholar 

  10. Barker KL, Shamley DR, Jackson D (2004) Changes in the cross- sectional area of multifidus and psoas in patients with unilateral back pain: the relationship to pain and disability. Spine (Phila Pa 1976) 29:E515–E519

    Google Scholar 

  11. Battie MC, Niemelainen R, Gibbons LE, Dhillon S (2012) Is level- and side-specific multifidus asymmetry a marker for lumbar disc pathology? Spine J 12:932–939

    PubMed  Google Scholar 

  12. Beck AT, Steer RA, Ball R, Ranieri W (1996) Comparison of Beck Depression Inventories – IA and – II in psychiatric outpatients. J Pers Assess 67:588–597

    CAS  PubMed  Google Scholar 

  13. Beneciuk JM, Bishop MD, Fritz JM, Robinson ME, Asal NR, Nisenzon AN, George SZ (2013) The STarT back screening tool and individual psychological measures: evaluation of prognostic capabilities for low back pain clinical outcomes in outpatient physical therapy settings. Phys Ther 93:321–333

    PubMed Central  PubMed  Google Scholar 

  14. Beneck GJ, Kulig K (2012) Multifidus atrophy is localized and bilateral in active persons with chronic unilateral low back pain. Arch Phys Med Rehabil 93:300–306

    PubMed  Google Scholar 

  15. Bogduk N (2009) On the definitions and physiology of back pain, referred pain, and radicular pain. Pain 147:17–19

    PubMed  Google Scholar 

  16. Bombardier C (2000) Outcome assessments in the evaluation of treatment of spinal disorders: summary and general recommendations. Spine (Phila Pa 1976) 25:3100–3103

    CAS  Google Scholar 

  17. Bombardier C, Evans CJ, Katz N, Mardekian J, Zlateva G, Simon LS (2011) Further qualification of a therapeutic responder index for patients with chronic low back pain. J Rheumatol 38:362–369

    CAS  PubMed  Google Scholar 

  18. Brown RL, Leonard T, Saunders LA, Papasouliotis O (2001) A two-item conjoint screen for alcohol and other drug problems. J Am Board Fam Pract 14:95–106

    CAS  PubMed  Google Scholar 

  19. Bruyere O, Demoulin M, Brereton C, Humblet F, Flynn D, Hill JC, Maquet D, Van Beveren J, Reginster JY, Crielaard JM, Demoulin C (2012) Translation validation of a new back pain screening questionnaire (the STarT Back Screening Tool) in French. Arch Public Health 70:12

    PubMed Central  PubMed  Google Scholar 

  20. Bunzli S, Watkins R, Smith A, Schutze R, O’Sullivan P (2013) Lives on Hold: a Qualitative Synthesis Exploring the Experience of Chronic Low-back Pain. Clin J Pain 29:907–916

    PubMed  Google Scholar 

  21. Buysse DJ, Yu L, Moul DE, Germain A, Stover A, Dodds NE, Johnston KL, Shablesky-Cade MA, Pilkonis PA (2010) Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep 33:781–792

    PubMed Central  PubMed  Google Scholar 

  22. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, Amtmann D, Bode R, Buysse D, Choi S, Cook K, Devellis R, DeWalt D, Fries JF, Gershon R, Hahn EA, Lai JS, Pilkonis P, Revicki D, Rose M, Weinfurt K, Hays R (2010) The Patient- Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol 63:1179–1194

    PubMed Central  PubMed  Google Scholar 

  23. Cherkin DC, Deyo RA, Street JH, Barlow W (1996) Predicting poor outcomes for back pain seen in primary care using patients’ own criteria. Spine (Phila Pa 1976) 21:2900–2907

    CAS  Google Scholar 

  24. Childs JD, Fritz JM, Flynn TW, Irrgang JJ, Johnson KK, Majkowski GR, Delitto A (2004) A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: a validation study. Ann Intern Med 141:920–928

    PubMed  Google Scholar 

  25. Chou R, Atlas SJ, Stanos SP, Rosenquist RW (2009) Nonsurgical interventional therapies for low back pain: a review of the evidence for an American Pain Society clinical practice guideline. Spine (Phila Pa 1976) 34:1078–1093

    Google Scholar 

  26. Chou R, Deyo RA, Jarvik JG (2012) Appropriate use of lumbar imaging for evaluation of low back pain. Radiol Clin North Am 50:569–585

    PubMed  Google Scholar 

  27. Chou R, Huffman LH (2007) Medications for acute and chronic low back pain: a review of the evidence for an American Pain Society/American College of Physicians clinical practice guideline. Ann Intern Med 147:505–514

    PubMed  Google Scholar 

  28. Chou R, Huffman LH (2007) Nonpharmacologic therapies for acute and chronic low back pain: a review of the evidence for an American Pain Society/American College of Physicians clinical practice guideline. Ann Intern Med 147:492–504

    PubMed  Google Scholar 

  29. Chou R, Loeser JD, Owens DK, Rosenquist RW, Atlas SJ, Baisden J, Carragee EJ, Grabois M, Murphy DR, Resnick DK, Stanos SP, Shaffer WO, Wall EM (2009) Interventional therapies, surgery, and interdisciplinary rehabilitation for low back pain: an evidence-based clinical practice guideline from the American Pain Society. Spine (Phila Pa 1976) 34:1066–1077

    Google Scholar 

  30. Chou R, Shekelle P (2010) Will this patient develop persistent disabling low back pain? JAMA 303:1295–1302

    CAS  PubMed  Google Scholar 

  31. Cleeland CS, Ryan KM (1994) Pain assessment: global use of the Brief Pain Inventory. Ann Acad Med Singapore 23:129–138

    CAS  PubMed  Google Scholar 

  32. Cook KF, Choi SW, Crane PK, Deyo RA, Johnson KL, Amtmann D (2008) Letting the CAT out of the bag: comparing computer adaptive tests and an 11-item short form of the Roland-Morris Disability Questionnaire. Spine 33:1378–1383

    PubMed Central  PubMed  Google Scholar 

  33. Croft P, Dunn KM, Von Korff M (2007) Chronic pain syndromes: you can’t have one without another. Pain 131:237–238

    PubMed  Google Scholar 

  34. Deyo RA (2002) Diagnostic evaluation of LBP: reaching a specific diagnosis is often impossible. Arch Intern Med 162:1444–1447 discussion 1447-1448

    PubMed  Google Scholar 

  35. Deyo RA, Battie M, Beurskens AJ, Bombardier C, Croft P, Koes B, Malmivaara A, Roland M, Von Korff M, Waddell G (1998) Outcome measures for low back pain research. A proposal for standardized use. Spine (Phila Pa 1976) 23:2003–2013

    CAS  Google Scholar 

  36. Deyo RA, Cherkin DC, Ciol MA (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45:613–619

    CAS  PubMed  Google Scholar 

  37. Deyo RA, Mirza SK, Turner JA, Martin BI (2009) Overtreating chronic back pain: time to back off? J Am Board Fam Med 22:62–68

    PubMed Central  PubMed  Google Scholar 

  38. Dunn KM, Croft PR, Main CJ, Von Korff M (2008) A prognostic approach to defining chronic pain: replication in a UK primary care low back pain population. Pain 135:48–54

    PubMed  Google Scholar 

  39. Dunn KM, Von Korff M, Croft P (2012) Defining Chronic Pain by Prognosis. In: Hasenbring MI, Rusu AC, Turk DC (eds) From Acute to Chronic Back Pain: Risk Factors, Mechanisms, and Clinical Implications. NY, Oxford University Press, New York, pp 21–40

    Google Scholar 

  40. Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, Kerns RD, Stucki G, Allen RR, Bellamy N, Carr DB, Chandler J, Cowan P, Dionne R, Galer BS, Hertz S, Jadad AR, Kramer LD, Manning DC, Martin S, McCormick CG, McDermott MP, McGrath P, Quessy S, Rappaport BA, Robbins W, Robinson JP, Rothman M, Royal MA, Simon L, Stauffer JW, Stein W, Tollett J, Wernicke J, Witter J (2005) Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 113:9–19

    PubMed  Google Scholar 

  41. Dworkin RH, Turk DC, McDermott MP, Peirce-Sandner S, Burke LB, Cowan P, Farrar JT, Hertz S, Raja SN, Rappaport BA, Rauschkolb C, Sampaio C (2009) Interpreting the clinical importance of group differences in chronic pain clinical trials: IMMPACT recommendations. Pain 146:238–244

    PubMed  Google Scholar 

  42. Dworkin RH, Turk DC, Revicki DA, Harding G, Coyne KS, Peirce-Sandner S, Bhagwat D, Everton D, Burke LB, Cowan P, Farrar JT, Hertz S, Max MB, Rappaport BA, Melzack R (2009) Development and initial validation of an expanded and revised version of the Short-form McGill Pain Questionnaire (SF-MPQ-2). Pain 144:35–42

    PubMed  Google Scholar 

  43. Edelen MO, Saliba D (2010) Correspondence of verbal descriptor and numeric rating scales for pain intensity: an item response theory calibration. J Gerontol A Biol Sci Med Sci 65:778–785

    PubMed  Google Scholar 

  44. Fairbank J, Gwilym SE, France JC, Daffner SD, Dettori J, Hermsmeyer J, Andersson G (2011) The role of classification of chronic low back pain. Spine (Phila Pa 1976) 36:S19–S42

    Google Scholar 

  45. Fairbank JC, Couper J, Davies JB, O’Brien JP (1980) The Oswestry low back pain disability questionnaire. Physiotherapy 66:271–273

    CAS  PubMed  Google Scholar 

  46. Farrar JT, Young JP Jr (2001) LaMoreaux L, Werth JL, Poole RM: clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain 94:149–158

    CAS  PubMed  Google Scholar 

  47. Field J, Newell D (2012) Relationship between STarT Back Screening Tool and prognosis for low back pain patients receiving spinal manipulative therapy. Chiropr Man Therap 20:17

    PubMed Central  PubMed  Google Scholar 

  48. Friedman BW, Mulvey L, Davitt M, Choi H, Esses D, Bijur PE, Gallagher EJ (2012) Predicting 7-day and 3-month functional outcomes after an ED visit for acute nontraumatic low back pain. Am J Emerg Med 30:1852–1859

    PubMed Central  PubMed  Google Scholar 

  49. Fritz JM, Beneciuk JM, George SZ (2011) Relationship between categorization with the STarT Back Screening Tool and prognosis for people receiving physical therapy for low back pain. Phys Ther 91:722–732

    PubMed  Google Scholar 

  50. Froud R, Eldridge S, Kovacs F, Breen A, Bolton J, Dunn K, Fritz J, Keller A, Kent P, Lauridsen HH, Ostelo R, Pincus T, van Tulder M, Vogel S, Underwood M (2011) Reporting outcomes of back pain trials: a modified Delphi study. Eur J Pain 15:1068–1074

    PubMed  Google Scholar 

  51. Garcia SF, Cella D, Clauser SB, Flynn KE, Lad T, Lai JS, Reeve BB, Smith AW, Stone AA, Weinfurt K (2007) Standardizing patient-reported outcomes assessment in cancer clinical trials: a patient-reported outcomes measurement information system initiative. J Clin Oncol 25:5106–5112

    PubMed  Google Scholar 

  52. Genevay S, Atlas SJ, Katz JN (2010) Variation in eligibility criteria from studies of radiculopathy due to a herniated disc and of neurogenic claudication due to lumbar spinal stenosis: a structured literature review. Spine (Phila Pa 1976) 35:803–811

    Google Scholar 

  53. Gerbershagen HJ, Rothaug J, Kalkman CJ, Meissner W (2011) Determination of moderate-to-severe postoperative pain on the numeric rating scale: a cut-off point analysis applying four different methods. Br J Anaesth 107:619–626

    CAS  PubMed  Google Scholar 

  54. Gusi N, del Pozo-Cruz B, Olivares PR (2011) Hernandez- Mocholi M, Hill JC: the Spanish version of the ``STarT Back Screening Tool’’ (SBST) in different subgroups. Aten Primaria 43:356–361

    PubMed  Google Scholar 

  55. Hahn EA, Devellis RF, Bode RK, Garcia SF, Castel LD, Eisen SV, Bosworth HB, Heinemann AW, Rothrock N, Cella D (2010) Measuring social health in the patient-reported outcomes measurement information system (PROMIS): item bank development and testing. Qual Life Res 19:1035–1044

    PubMed Central  PubMed  Google Scholar 

  56. Hall H, McIntosh G, Boyle C (2009) Effectiveness of a low back pain classification system. Spine J 9:648–657

    PubMed  Google Scholar 

  57. Hill JC, Dunn KM, Lewis M, Mullis R, Main CJ, Foster NE, Hay EM (2008) A primary care back pain screening tool: identifying patient subgroups for initial treatment. Arthritis Rheum 59:632–641

    PubMed  Google Scholar 

  58. Hill JC, Dunn KM, Main CJ, Hay EM (2010) Subgrouping low back pain: a comparison of the STarT Back Tool with the Orebro Musculoskeletal Pain Screening Questionnaire. Eur J Pain 14:83–89

    PubMed Central  PubMed  Google Scholar 

  59. Hill JC, Vohora K, Dunn KM, Main CJ, Hay EM (2010) Comparing the STarT back screening tool’s subgroup allocation of individual patients with that of independent clinical experts. Clin J Pain 26:783–787

    PubMed  Google Scholar 

  60. Hill JC, Whitehurst DG, Lewis M, Bryan S, Dunn KM, Foster NE, Konstantinou K, Main CJ, Mason E, Somerville S, Sowden G, Vohora K, Hay EM (2011) Comparison of stratified primary care management for low back pain with current best practice (STarT Back): a randomised controlled trial. Lancet 378:1560–1571

    PubMed Central  PubMed  Google Scholar 

  61. Hoy D, Bain C, Williams G, March L, Brooks P, Blyth F, Woolf A, Vos T, Buchbinder R (2012) A systematic review of the global prevalence of low back pain. Arthritis Rheum 64:2028–2037

    PubMed  Google Scholar 

  62. Hoy D, Brooks P, Blyth F, Buchbinder R (2010) The Epidemiology of low back pain. Best Pract Res Clin Rheumatol 24:769–781

    CAS  PubMed  Google Scholar 

  63. Hung M, Hon SD, Franklin JD, Kendall RW, Lawrence BD, Neese A, Cheng C, Brodke DS (2014) Psychometric Properties of the PROMIS Physical Function Item Bank in Patients With Spinal Disorders. Spine (Phila Pa 1976) 39:158–163

    Google Scholar 

  64. Hurst NP, Kind P, Ruta D, Hunter M, Stubbings A (1997) Measuring health-related quality of life in rheumatoid arthritis: validity, responsiveness and reliability of EuroQol (EQ-5D). Br J Rheumatol 36:551–559

    CAS  PubMed  Google Scholar 

  65. Jensen MP, Karoly P (2001) Self-report scales and procedures for assessing pain in adults. In: Turk DC, Melzack R (eds) Handbook of Pain Assessment. NY, Guilford Press, New York, pp 15–34

    Google Scholar 

  66. Jensen MP, Smith DG, Ehde DM, Robinsin LR (2001) Pain site and the effects of amputation pain: further clarification of the meaning of mild, moderate, and severe pain. Pain 91:317–322

    CAS  PubMed  Google Scholar 

  67. Jones KR, Vojir CP, Hutt E, Fink R (2007) Determining mild, moderate, and severe pain equivalency across pain- intensity tools in nursing home residents. J Rehabil Res Dev 44:305–314

    PubMed  Google Scholar 

  68. Kapstad H, Hanestad BR, Langeland N, Rustoen T, Stavem K (2008) Cutpoints for mild, moderate and severe pain in patients with osteoarthritis of the hip or knee ready for joint replacement surgery. BMC Musculoskelet Disord 9:55

    PubMed Central  PubMed  Google Scholar 

  69. Keefe FJ, Williams DA, Smith SJ (2001) Assessment of pain behaviors. In: Turk DC, Melzack R (eds) Handbook of Pain Assessment. NY, Guilford Press, New York, pp 170–190

    Google Scholar 

  70. Kenan K, Mack K, Paulozzi L (2012) Trends in prescriptions for oxycodone and other commonly used opioids in the United States, 2000-2010. Open Med 6:e41–e47

    PubMed Central  PubMed  Google Scholar 

  71. Kerns RD, Haythornthwaite J, Rosenberg R, Southwick S, Giller EL, Jacob MC (1991) The Pain Behavior Check List (PBCL): factor structure and psychometric properties. J Behav Med 14:155–167

    CAS  PubMed  Google Scholar 

  72. Kim J, Chung H, Amtmann D, Revicki DA, Cook KF (2013) Measurement invariance of the PROMIS pain interference item bank across community and clinical samples. Qual Life Res 22:501–507

    PubMed  Google Scholar 

  73. Kongsted A, Johannesen E, Leboeuf-Yde C (2011) Feasibility of the STarT back screening tool in chiropractic clinics: a cross- sectional study of patients with low back pain. Chiropr Man Therap 19:10

    PubMed Central  PubMed  Google Scholar 

  74. Konstantinou K, Hider SL, Jordan JL, Lewis M, Dunn KM, Hay EM (2013) The impact of low back-related leg pain on outcomes as compared with low back pain alone: a systematic review of the literature. Clin J Pain 29:644–654

    PubMed  Google Scholar 

  75. Kori S, Miller R, Todd D (1990) Kinesiophobia: a new view of chronic pain behavior. Pain Management 3:35–43

    Google Scholar 

  76. Krebs EE, Lorenz KA, Bair MJ, Damush TM, Wu J, Sutherland JM, Asch SM, Kroenke K (2009) Development and initial validation of the PEG, a three-item scale assessing pain intensity and interference. J Gen Intern Med 24:733–738

    PubMed Central  PubMed  Google Scholar 

  77. Kroenke K, Spitzer RL, Williams JB (2001) The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16:606–613

    CAS  PubMed Central  PubMed  Google Scholar 

  78. Kroenke K, Spitzer RL, Williams JB (2002) The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosom Med 64:258–266

    PubMed  Google Scholar 

  79. Loisel P, Vachon B, Lemaire J, Durand MJ, Poitras S, Stock S, Tremblay C (2002) Discriminative and predictive validity assessment of the Quebec task force classification. Spine (Phila Pa 1976) 27:851–857

    Google Scholar 

  80. Mallen CD, Peat G, Thomas E, Dunn KM, Croft PR (2007) Prognostic factors for musculoskeletal pain in primary care: a systematic review. Br J Gen Pract 57:655–661

    PubMed Central  PubMed  Google Scholar 

  81. Margolis RB, Tait RC, Krause SJ (1986) A rating system for use with patient pain drawings. Pain 24:57–65

    CAS  PubMed  Google Scholar 

  82. Martell BA, O’Connor PG, Kerns RD, Becker WC, Morales KH, Kosten TR, Fiellin DA (2007) Systematic review: opioid treatment for chronic back pain: prevalence, efficacy, and association with addiction. Ann Intern Med 146:116–127

    PubMed  Google Scholar 

  83. Martin BI, Deyo RA, Mirza SK, Turner JA, Comstock BA, Hollingworth W, Sullivan SD (2008) Expenditures and health status among adults with back and neck problems. JAMA 299:656–664

    CAS  PubMed  Google Scholar 

  84. McLeod LD, Coon CD, Martin SA, Fehnel SE, Hays RD (2011) Interpreting patient-reported outcome results: US FDA guidance and emerging methods. Expert Rev Pharmacoecon Outcomes Res 11:163–169

    PubMed Central  PubMed  Google Scholar 

  85. Morso L, Albert H, Kent P, Manniche C, Hill J (2011) Translation and discriminative validation of the STarT Back Screening Tool into Danish. Eur Spine J 20:2166–2173

    PubMed Central  PubMed  Google Scholar 

  86. Muller S, Thomas E, Dunn KM, Mallen CD (2013) A prognostic approach to defining chronic pain across a range of musculoskeletal pain sites. Clin J Pain 29:411–416

    PubMed Central  PubMed  Google Scholar 

  87. Negrini S, Zaina F (2013) The chimera of low back pain etiology: a clinical rehabilitation perspective. Am J Phys Med Rehabil 92:93–97

    PubMed  Google Scholar 

  88. Patrick DL, Deyo RA, Atlas SJ, Singer DE, Chapin A, Keller RB (1995) Assessing health-related quality of life in patients with sciatica. Spine (Phila Pa 1976) 20:1899–1908 discussion 1909

    CAS  Google Scholar 

  89. Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D (2011) Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS): depression, anxiety, and anger. Assessment 18:263–283

    PubMed Central  PubMed  Google Scholar 

  90. Radloff LS (1977) The CES-D scale: a self-report depression scale for research in general populations. Appl Psych Meas 1:385–401

    Google Scholar 

  91. Rajaee SS, Bae HW, Kanim LE, Delamarter RB (2012) Spinal fusion in the United States: analysis of trends from 1998 to 2008. Spine (Phila Pa 1976) 37:67–76

    Google Scholar 

  92. Revicki DA, Cook KF, Amtmann D, Harnam N, Chen WH, Keefe FJ (2014) Exploratory and confirmatory factor analysis of the PROMIS pain quality item bank. Qual Life Res 23:245–255

    PubMed  Google Scholar 

  93. Rodriguez-Raecke R, Niemeier A, Ihle K, Ruether W, May A (2013) Structural brain changes in chronic pain reflect probably neither damage nor atrophy. PLoS ONE 8:e54475

    CAS  PubMed Central  PubMed  Google Scholar 

  94. Roland M, Morris R (1983) A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain. Spine (Phila Pa 1976) 8:141–144

    CAS  Google Scholar 

  95. Rose M, Bjorner JB, Becker J, Fries JF, Ware JE (2008) Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS). J Clin Epidemiol 61:17–33

    CAS  PubMed  Google Scholar 

  96. Rosenstiel AK, Keefe FJ (1983) The use of coping strategies in chronic low back pain patients: relationship to patient characteristics and current adjustment. Pain 17:33–44

    CAS  PubMed  Google Scholar 

  97. Salovey P, Sieber W, Smith AF, Turk DC, Jobe JB, Willis GB (1992) Reporting chronic pain episodes on health surveys. Vital and Health Statistics series, National Technical Information Service, NTIS Issue Number 9303

  98. Sarazin M, de Souza LC, Lehericy S, Dubois B (2012) Clinical and research diagnostic criteria for Alzheimer’s disease. Neuroimaging Clin N Am 22:23-32, viii

  99. Schiffman E, Ohrbach R, Truelove E, Look J, Anderson G, Goulet JP, List T, Svensson P, Gonzalez Y, Lobbezoo F, Michelotti A, Brooks SL, Ceusters W, Drangsholt M, Ettlin D, Gaul C, Goldberg LJ, Haythornthwaite JA, Hollender L, Jensen R, John MT, De Laat A, de Leeuw R, Maixner W, van der Meulen M, Murray GM, Nixdorf DR, Palla S, Petersson A, Pionchon P, Smith B, Visscher CM, Zakrzewska J, Dworkin SF (2014) Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for Clinical and Research Applications: recommendations of the International RDC/TMD Consortium Network* and Orofacial Pain Special Interest Groupdagger. J Oral Facial Pain Headache 28:6–27

    PubMed  Google Scholar 

  100. Seminowicz DA, Wideman TH, Naso L (2011) Hatami- Khoroushahi Z, Fallatah S, Ware MA, Jarzem P, Bushnell MC, Shir Y, Ouellet JA, Stone LS: effective treatment of chronic low back pain in humans reverses abnormal brain anatomy and function. J Neurosci 31:7540–7550

    CAS  PubMed  Google Scholar 

  101. Shah RV (2012) Spine pain classification: the problem. Spine (Phila Pa 1976) 37:1853–1855

    Google Scholar 

  102. Simon LS, Evans C, Katz N, Bombardier C, West C, Robbins J, Copley-Merriman C, Markman J, Coombs JH (2007) Preliminary development of a responder index for chronic low back pain. J Rheumatol 34:1386–1391

    PubMed  Google Scholar 

  103. Spitzer RL, Kroenke K, Williams JB, Lowe B (2006) A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 166:1092–1097

    PubMed  Google Scholar 

  104. Spitzer WO, Abenhaim L, Dupuis M, Belanger AY, Bloch R, Bombardier C, Cruess RL, Duval-Hesler N, Laflamme J, Lamoureux G, Nachemson A, Arsenault SS, Wood-Dauphinee S: Quebec Task Force on Spinal Disorders. Scientific approach to the assessment and management of activity-related spinal disorders. A monograph for clinicians. Report of the Quebec Task Force on Spinal Disorders. Chapter 3: Diagnosis of the problem (the problem of diagnosis). Spine (Phila Pa 1976) 12:S16-S21, 1987

  105. Stanton TR, Latimer J, Maher CG, Hancock MJ (2011) A modified Delphi approach to standardize low back pain recurrence terminology. Eur Spine J 20:744–752

    PubMed Central  PubMed  Google Scholar 

  106. Stewart WF, Lipton RB, Simon D, Liberman J, Von Korff M (1999) Validity of an illness severity measure for headache in a population sample of migraine sufferers. Pain 79:291–301

    CAS  PubMed  Google Scholar 

  107. Sullivan MJL, Bishop SR, Pivik J (1995) The pain catastrophizing scale: development and validation. Psychol Assess 7:524–532

    Google Scholar 

  108. Thomas E, Dunn KM, Mallen C, Peat G (2008) A prognostic approach to defining chronic pain: application to knee pain in older adults. Pain 139:389–397

    PubMed  Google Scholar 

  109. Tracey I, Bushnell MC (2009) How neuroimaging studies have challenged us to rethink: is chronic pain a disease? J Pain 10:1113–1120

    PubMed  Google Scholar 

  110. Turner JA, Shortreed SM, Saunders KW, Leresche L, Berlin JA, Korff MV (2013) Optimizing prediction of back pain outcomes. Pain 154:1391–1401

    PubMed  Google Scholar 

  111. Vickers AJ (2001) The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study. BMC Med Res Methodol 1:6

    CAS  PubMed Central  PubMed  Google Scholar 

  112. Von Korff M (2001) Assessment of Chronic Pain in Epidemiological and Health Services Research: Empirical Cases and New Directions. In: Turk DC, Melzack R (eds) Handbook of Pain Assessment. NY, Guilford Press, New York, pp 455–473

    Google Scholar 

  113. Von Korff M, Dunn KM (2008) Chronic pain reconsidered. Pain 138:267–276

    Google Scholar 

  114. Von Korff M, Miglioretti DL (2005) A prognostic approach to defining chronic pain. Pain 117:304–313

    Google Scholar 

  115. Von Korff M, Ormel J, Keefe FJ, Dworkin SF (1992) Grading the severity of chronic pain. Pain 50:133–149

    Google Scholar 

  116. Von Korff M, Shortreed SM, Saunders KW, Leresche L, Berlin JA, Stang P, Turner JA (2014) Comparison of back pain prognostic risk stratification item sets. J Pain 15:81–89

    Google Scholar 

  117. Waddell G (1987) 1987 Volvo award in clinical sciences. A new clinical model for the treatment of low-back pain. Spine (Phila Pa 1976) 12:632–644

    CAS  Google Scholar 

  118. Waddell G, Newton M, Henderson I, Somerville D, Main CJ (1993) A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain 52:157–168

    CAS  PubMed  Google Scholar 

  119. Ware J Jr (1996) Kosinski M, Keller SD: a 12-Item Short- Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care 34:220–233

    PubMed  Google Scholar 

  120. Ware JE Jr (1992) Sherbourne CD: the MOS 36-item short- form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30:473–483

    PubMed  Google Scholar 

  121. Weathers FW, Ford J: Psychometric properties of the PTSD Checklist (PCL–C, PCL–S, PCL–M, PCL–PR), in Stamm BH (ed): Measurement of stress, trauma, and adaptation. Lutherville, MD, Sidran Foundation & Press, 1996, pp 250-252

  122. Wideman TH, Hill JC, Main CJ, Lewis M, Sullivan MJ, Hay EM (2012) Comparing the responsiveness of a brief, multidimensional risk screening tool for back pain to its unidimensional reference standards: the whole is greater than the sum of its parts. Pain 153:2182–2191

    PubMed  Google Scholar 

  123. Yost KJ, Eton DT, Garcia SF, Cella D (2011) Minimally important differences were estimated for six Patient-Reported Outcomes Measurement Information System-Cancer scales in advanced-stage cancer patients. J Clin Epidemiol 64:507–516

    PubMed Central  PubMed  Google Scholar 

  124. Zigler J, Delamarter R, Spivak JM, Linovitz RJ, Danielson GO 3rd, Haider TT, Cammisa F, Zuchermann J, Balderston R, Kitchel S, Foley K, Watkins R, Bradford D, Yue J, Yuan H, Herkowitz H, Geiger D, Bendo J, Peppers T, Sachs B, Girardi F, Kropf M, Goldstein J: Results of the prospective, randomized, multicenter Food and Drug Administration investigational device exemption study of the ProDisc-L total disc replacement versus circumferential fusion for the treatment of 1-level degenerative disc disease. Spine (Phila Pa 1976) 32:1155-1162, 2007. discussion 1163

  125. Zigmond AS, Snaith RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361–370

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard A. Deyo.

Additional information

This study was supported by the National Center for Complementary and Alternative Medicine and the National Institute for Arthritis, Musculoskeletal, and Skin Diseases.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deyo, R.A., Dworkin, S.F., Amtmann, D. et al. Focus article: report of the NIH task force on research standards for chronic low back pain. Eur Spine J 23, 2028–2045 (2014). https://doi.org/10.1007/s00586-014-3540-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00586-014-3540-3

Keywords

Navigation