Validity of Current Assessment Tools Aiming to Measure the Affective Component of Pain: A Systematic Review

References

• Goldberg DS, McGee SJ. Pain as a global public health priority. BMC Public Health. 2011;11:770. doi:10.1186/1471-2458-11-770
   PubMed Web of Science ®Google Scholar
• Jackson TP, Stabile VS, McQueen KAK. The global burden of chronic pain. ASA Newsl. 2014;78(6):24–27.
   Google Scholar
• Kronborg C, Handberg G, Axelsen F. Health care costs, work productivity and activity impairment in non-malignant chronic pain patients. Eur J Health Econ. 2009;10(1):5–13. doi:10.1007/s10198-008-0096-3
   Web of Science ®Google Scholar
• Andersen LN, Kohberg M, Juul-Kristensen B, Herborg LG, Sogaard K, Roessler KK. Psychosocial aspects of everyday life with chronic musculoskeletal pain: a systematic review. Scand J Pain. 2014;5(2):131–148. doi:10.1016/j.sjpain.2014.01.001
   PubMedGoogle Scholar
• Garland EL. Treating chronic pain: the need for non-opioid options. Expert Rev Clin Pharmacol. 2014;7(5):545–550. doi:10.1586/17512433.2014.928587
   PubMed Web of Science ®Google Scholar
• Els C, Jackson TD, Kunyk D, et al. Adverse events associated with medium- and long-term use of opioids for chronic non-cancer pain: an overview of cochrane reviews. Cochrane Database Syst Rev. 2017;10(10):Cd012509.
   Google Scholar
• Williams A, Eccleston C, Morley S. Psychological therapies for the management of chronic pain (excluding headache) in adults. Cochrane Database Syst Rev. 2012;11. doi:10.1002/14651858.CD007407.pub3.
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Veehof MM, Trompetter HR, Bohlmeijer ET, Schreurs KM. Acceptance- and mindfulness-based interventions for the treatment of chronic pain: a meta-analytic review. Cogn Behav Ther. 2016;45(1):5–31. doi:10.1080/16506073.2015.1098724
   PubMed Web of Science ®Google Scholar
• Hughes LS, Clark J, Colclough JA, Dale E, McMillan D. Acceptance and commitment therapy (ACT) for chronic pain: a systematic review and meta-analysis. Clin J Pain. 2017;33(6):552–568. doi:10.1097/AJP.0000000000000425
   PubMed Web of Science ®Google Scholar
• Dworkin HR, Turk CD, Farrar TJ, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005;113(12):9–19. doi:10.1016/j.pain.2004.09.012
   PubMed Web of Science ®Google Scholar
• Hilton L, Hempel S, Ewing BA, et al. Mindfulness meditation for chronic pain: systematic review and meta-analysis. Ann Behav Med. 2017;51(2):199–213. doi:10.1007/s12160-016-9844-2
   PubMed Web of Science ®Google Scholar
• Simons LE, Elman I, Borsook D. Psychological processing in chronic pain: a neural systems approach. Neurosci Biobehav Rev. 2014;39:61–78.
   PubMed Web of Science ®Google Scholar
• Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007;133(4):581–624. doi:10.1037/0033-2909.133.4.581
   PubMed Web of Science ®Google Scholar
• Price DD, Harkins SW. The affective-motivational dimension of pain A two-stage model. APS J. 1992;1(4):229–239. doi:10.1016/1058-9139(92)90054-G
   Google Scholar
• Melzack R. The McGill pain questionnaire: major properties and scoring methods. PAIN. 1975;1(3):277–299. doi:10.1016/0304-3959(75)90044-5
   PubMed Web of Science ®Google Scholar
• Prinsen CAC, Mokkink LB, Bouter LM, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1147–1157. doi:10.1007/s11136-018-1798-3
   PubMed Web of Science ®Google Scholar
• Ford L. Garbage-in, garbage-out: item generation as a threat to construct validity. 2019.
   Google Scholar
• Moher D, Shamseer L, Clarke M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1. doi:10.1186/2046-4053-4-1
   PubMed Web of Science ®Google Scholar
• Terwee CB, Prinsen CAC, Chiarotto A, et al. COSMIN methodology for evaluating the content validity of patient-reported outcome measures: a Delphi study. Qual Life Res. 2018;27(5):1159–1170. doi:10.1007/s11136-018-1829-0
   PubMed Web of Science ®Google Scholar
• Terwee CB, Jansma EP, Riphagen II, de Vet HC. Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments. Qual Life Res. 2009;18(8):1115–1123. doi:10.1007/s11136-009-9528-5
   PubMed Web of Science ®Google Scholar
• Thomas RJ, McEwen J, Asbury AJ. The Glasgow pain questionnaire: a new generic measure of pain; development and testing. Int J Epidemiol. 1996;25:1060–1067. doi:10.1093/ije/25.5.1060
   Web of Science ®Google Scholar
• Gentile DA, Woodhouse J, Lynch P, Maier J, McJunkin T. Reliability and validity of the global pain scale with chronic pain sufferers. Pain Physician. 2011;14:61–70. doi:10.36076/ppj.2011/14/61
   Web of Science ®Google Scholar
• Mehack R, Torgerson WS. On the language of pain. Anesthesiology. 1971;34(1):50–59. doi:10.1097/00000542-197101000-00017
   Web of Science ®Google Scholar
• Clark WC, Kuhl JP, Keohan ML, Knotkova H, Winer RT, Griswold GA. Factor analysis validates the cluster structure of the dendrogram underlying the Multidimensional Affect and Pain Survey (MAPS) and challenges the a priori classification of the descriptors in the McGill Pain Questionnaire (MPQ). Pain. 2003;106(3):357–363. doi:10.1016/j.pain.2003.08.005
   PubMed Web of Science ®Google Scholar
• Melzack R, Wall PD. Pain mechanisms: a new theory. Science. 1965;150(3699):971–979. doi:10.1126/science.150.3699.971
   PubMed Web of Science ®Google Scholar
• Leavitt F, Garron DC, Whisler WW, Sheinkop MB. Affective and sensory dimensions of back pain. Pain. 1978;4(3):273–281. doi:10.1016/0304-3959(77)90139-7
   Web of Science ®Google Scholar
• Brennan AF, Barrett CL, Garretson HD. The utility of McGill pain questionnaire subscales for discriminating psychological disorder in chronic pain patients. Psychol Health. 1987;1(3):257–272. doi:10.1080/08870448708400329
   Google Scholar
• Lowe NK, Walker SN, MacCallum RC. Confirming the theoretical structure of the McGill pain questionnaire in acute clinical pain. Pain. 1991;46(1):53–60. doi:10.1016/0304-3959(91)90033-T
   Web of Science ®Google Scholar
• Holroyd KA, Holm JE, Keefe FJ, et al. A multi-center evaluation of the McGill pain questionnaire: results from more than 1700 chronic pain patients. Pain. 1992;48(3):301–311. doi:10.1016/0304-3959(92)90077-O
   Web of Science ®Google Scholar
• Rucker KS, Metzler HM, Kregel J. Standardization of chronic pain assessment: a multiperspective approach. Clin J Pain. 1996;12:94–110. doi:10.1097/00002508-199606000-00004
   PubMed Web of Science ®Google Scholar
• Kerns RD, Turk DC, Rudy TE. The west haven-yale multidimensional pain inventory (WHYMPI). Pain. 1985;23(4):345–356. doi:10.1016/0304-3959(85)90004-1
   PubMed Web of Science ®Google Scholar
• Davidson MA, Tripp DA, Fabrigar LR, Davidson PR. Chronic pain assessment: a seven-factor model. Pain Res Manag. 2008;13:299–308. doi:10.1155/2008/976341
   Web of Science ®Google Scholar
• Hopwood CJ, Creech SK, Clark TS, Meagher MW, Morey LC. The convergence and predictive validity of the multidimensional pain inventory and the personality assessment inventory among individuals with chronic pain. Rehabil Psychol. 2007;52:443–450. doi:10.1037/0090-5550.52.4.443
   Web of Science ®Google Scholar
• McKillop JM, Nielson WR. Improving the usefulness of the multidimensional pain inventory. Pain Res Manag. 2011;16:239–244. doi:10.1155/2011/873424
   Web of Science ®Google Scholar
• Mikail SF, DuBreuil SC, D’Eon JL. A comparative analysis of measures used in the assessment of chronic pain patients. Psychol Assess. 1993;5(1):117–120. doi:10.1037/1040-3590.5.1.117
   Google Scholar
• De Gagné TA, Mikail SF, D’Eon JL. Confirmatory factor analysis of a 4-factor model of chronic pain evaluation. Pain. 1995;60(2):195–202. doi:10.1016/0304-3959(94)00114-T
   Web of Science ®Google Scholar
• Deisinger JA, Cassisi JE, Lofland KR, Cole P, Bruehl S. An examination of the psychometric structure of the multidimensional pain inventory. J Clin Psychol. 2001;57(6):765–783. doi:10.1002/jclp.1048
   Web of Science ®Google Scholar
• Riley JL, Zawacki TM, Robinson ME, Geisser ME. Empirical test of the factor structure of the west haven-yale multidimensional pain inventory. Clin J Pain. 1999;15(1):24–30. doi:10.1097/00002508-199903000-00005
   Web of Science ®Google Scholar
• Wittink H, Turk DC, Carr DB, Sukiennik A, Rogers W. Comparison of the redundancy, reliability, and responsiveness to change among SF-36, oswestry disability index, and multidimensional pain inventory. Clin J Pain. 2004;20:133–142. doi:10.1097/00002508-200405000-00002
   PubMed Web of Science ®Google Scholar
• DeWalt DA, Rothrock N, Yount S, Stone AA. Evaluation of item candidates: the PROMIS qualitative item review. Med Care. 2007;45(5,Suppl1):S12–S21. doi:10.1097/01.mlr.0000254567.79743.e2
   Web of Science ®Google Scholar
• Revicki DA, Cook KF, Amtmann D, Harnam N, Chen W-H, Keefe FJ. Exploratory and confirmatory factor analysis of the PROMIS pain quality item bank. Qual Life Res. 2014;23:245–255. doi:10.1007/s11136-013-0467-9
   PubMed Web of Science ®Google Scholar
• Karoly P, Harris P. Assessing the affective component of chronic pain: development of the pain discomfort scale. J Psychosom Res. 1991;35:149–154. doi:10.1016/0022-3999(91)90069-Z
   Web of Science ®Google Scholar
• Ruehlman LS, Karoly P, Newton C, Aiken LS. The development and preliminary validation of a brief measure of chronic pain impact for use in the general population. Pain. 2005;113(1):82–90. doi:10.1016/j.pain.2004.09.037
   Web of Science ®Google Scholar
• Karoly P, Ruehlman LS, Aiken LS, Todd M, Newton C. Evaluating chronic pain impact among patients in primary care: further validation of a brief assessment instrument. Pain Med. 2006;7(4):289–298. doi:10.1111/j.1526-4637.2006.00182.x
   PubMed Web of Science ®Google Scholar
• Dargie E, Holden RR, Pukall CF. The Vulvar Pain Assessment Questionnaire inventory. Pain. 2016;157:2672–2686. doi:10.1097/j.pain.0000000000000682
   Web of Science ®Google Scholar
• Dargie E, Holden RR, Pukall CF. The vulvar pain assessment questionnaire: factor structure, preliminary norms, internal consistency, and test-retest reliability. J Sex Med. 2017;14(12):1585–1596. doi:10.1016/j.jsxm.2017.10.072
   PubMed Web of Science ®Google Scholar
• Prinsen CAC, Vohra S, Rose MR, et al. How to select outcome measurement instruments for outcomes included in a “core outcome set” – a practical guideline. Trials. 2016;17(1):449. doi:10.1186/s13063-016-1555-2
   PubMed Web of Science ®Google Scholar
• Brodersen J, Meads D, Kreiner S, Thorsen H, Doward L, McKenna S. Methodological aspects of differential item functioning in the Rasch model. J Med Econ. 2007;10(3):309–324. doi:10.3111/13696990701557048
   Google Scholar
• Salaffi F, Sarzi-Puttini P, Ciapetti A, Atzeni F. Clinimetric evaluations of patients with chronic widespread pain. Best Pract Res Clin Rheumatol. 2011;25:249–270. doi:10.1016/j.berh.2011.01.004
   PubMed Web of Science ®Google Scholar
• Deshaies K, Akhtar-Danesh N, Kaasalainen S. An evaluation of chronic pain questionnaires in the adult population. J Nurs Meas. 2015;23:22–39. doi:10.1891/1061-3749.23.1.22
   Google Scholar
• Chiarotto A, Ostelo RW, Boers M, Terwee CB. A systematic review highlights the need to investigate the content validity of patient-reported outcome measures for physical functioning in patients with low back pain. J Clin Epidemiol. 2018;95:73–93. doi:10.1016/j.jclinepi.2017.11.005
   PubMed Web of Science ®Google Scholar
• Treede RD, Rief BW, Barke BA, et al. A classification of chronic pain for ICD-11. PAIN. 2015;156(6):1003–1007. doi:10.1097/j.pain.0000000000000160
   PubMed Web of Science ®Google Scholar
• Rasch G. An informal report on a theory of objectivity in comparisons. 1966.
   Google Scholar
• Andersen E. Sufficient statistics and latent trait models. Psychometrika. 1977;42(1):69–81. doi:10.1007/BF02293746
   Web of Science ®Google Scholar
• Scott N, Fayers P, Aaronson N, et al. The practical impact of differential item functioning analyses in a health-related quality of life instrument. Qual Life Res. 2009;18(8):1125–1130. doi:10.1007/s11136-009-9521-z
   Web of Science ®Google Scholar
• Leder D. The experiential paradoxes of pain. J Med Philos. 2016;41(5):444–460. doi:10.1093/jmp/jhw020
   PubMed Web of Science ®Google Scholar