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Measures for the Assessment of Pain in Adults
dc.contributor.authorHassett, Afton L.
dc.contributor.authorWhibley, Daniel
dc.contributor.authorKratz, Anna
dc.contributor.authorWilliams, David A.
dc.date.accessioned2020-11-04T16:02:18Z
dc.date.availableWITHHELD_12_MONTHS
dc.date.available2020-11-04T16:02:18Z
dc.date.issued2020-10
dc.identifier.citationHassett, Afton L.; Whibley, Daniel; Kratz, Anna; Williams, David A. (2020). "Measures for the Assessment of Pain in Adults." Arthritis Care & Research : 342-357.
dc.identifier.issn2151-464X
dc.identifier.issn2151-4658
dc.identifier.urihttps://hdl.handle.net/2027.42/163475
dc.publisherWiley Periodicals, Inc.
dc.publisherMD Anderson Cancer Center
dc.titleMeasures for the Assessment of Pain in Adults
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelGeriatrics
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163475/2/acr24222_am.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163475/1/acr24222.pdfen_US
dc.identifier.doi10.1002/acr.24222
dc.identifier.sourceArthritis Care & Research
dc.identifier.citedreferenceVon Baeyer CL. Reactive effects of measurement of pain. Clin J Pain 1994; 10: 18 – 21.
dc.identifier.citedreferenceGagliese L, Weizblit N, Ellis W, Chan VW. The measurement of postoperative pain: a comparison of intensity scales in younger and older surgical patients. Pain 2005; 117: 412 – 20.
dc.identifier.citedreferenceChien CW, Bagraith KS, Khan A, Deen M, Strong J. Comparative responsiveness of verbal and numerical rating scales to measure pain intensity in patients with chronic pain. J Pain 2013; 14: 1653 – 62.
dc.identifier.citedreferenceChanques G, Viel E, Constantin JM, Jung B, de Lattre S, Carr J, et al. The measurement of pain in intensive care unit: comparison of 5 self‐report intensity scales. Pain 2010; 151: 711 – 21.
dc.identifier.citedreferenceRothaug J, Weiss T, Meissner W. How simple can it get? Measuring pain with NRS items or binary items. Clin J Pain 2013; 29: 224 – 32.
dc.identifier.citedreferenceZautra AJ, Davis MC, Reich JW, Nicassario P, Tennen H, Finan P, et al. Comparison of cognitive behavioral and mindfulness meditation interventions on adaptation to rheumatoid arthritis for patients with and without history of recurrent depression. J Consult Clin Psychol 2008; 76: 408 – 21.
dc.identifier.citedreferenceGlaros AG, Hanson AH, Ryen CC. Headache and oral parafunctional behaviors. Appl Psychophysiol Biofeedback 2014; 39: 59 – 66.
dc.identifier.citedreferenceGlaros AG, Marszalek JM, Williams KB. Longitudinal multilevel modeling of facial pain, muscle tension, and stress. J Dent Res 2016; 95: 416 – 22.
dc.identifier.citedreferenceClauw DJ, Mease P, Palmer RH, Gendreau RM, Wang Y. Milnacipran for the treatment of fibromyalgia in adults: a 15‐week, multicenter, randomized, double‐blind, placebo‐controlled, multiple‐dose clinical trial [published errata appear in Clin Ther 2009;31:446 and Clin Ther 2009;31:1617]. Clin Ther 2008; 30: 1988 – 2004.
dc.identifier.citedreferenceAlschuler KN, Hoodin F, Murphy SL, Rice J, Geisser ME. Factors contributing to physical activity in a chronic low back pain clinical sample: a comprehensive analysis using continuous ambulatory monitoring. Pain 2011; 152: 2521 – 7.
dc.identifier.citedreferenceMurphy SL, Strasburg DM, Lyden AK, Smith DM, Koliba JF, Dadabhoy DP, et al. Effects of activity strategy training on pain and physical activity in older adults with knee or hip osteoarthritis: a pilot study. Arthritis Rheum 2008; 59: 1480 – 7.
dc.identifier.citedreferenceWhibley D, Braley TJ, Kratz AL, Murphy SL. Transient effects of sleep on next‐day pain and fatigue in older adults with symptomatic osteoarthritis. J Pain 2019; 20: 1373 – 82.
dc.identifier.citedreferenceWolf LD, Davis MC, Yeung EW, Tennen HA. The within‐day relation between lonely episodes and subsequent clinical pain in individuals with fibromyalgia: mediating role of pain cognitions. J Psychosom Res 2015; 79: 202 – 6.
dc.identifier.citedreferenceGarcia‐Palacios A, Herrero R, Belmonte MA, Castilla D, Guixeres J, Molinari G, et al. Ecological momentary assessment for chronic pain in fibromyalgia using a smartphone: a randomized crossover study. Eur J Pain 2014; 18: 862 – 72.
dc.identifier.citedreferenceWilliams DA. Phenotypic features of central sensitization. J Appl Biobehav Res 2018; 23: e12135.
dc.identifier.citedreferenceSchrepf A, Williams DA, Gallop R, Naliboff BD, Basu N, Kaplan C, et al. Sensory sensitivity and symptom severity represent unique dimensions of chronic pain: a MAPP Research Network study. Pain 2018; 159: 2002 – 11.
dc.identifier.citedreferenceHanmer J, Dewitt B, Yu L, Tsevat J, Roberts M, Revicki D, et al. Cross‐sectional validation of the PROMIS‐Preference scoring system. Plos One 2018; 13: e0201093.
dc.identifier.citedreferenceMcCrae CS, Williams J, Roditi D, Anderson R, Mundt JM, Miller MB, et al. Cognitive behavioral treatments for insomnia and pain in adults with comorbid chronic insomnia and fibromyalgia: clinical outcomes from the SPIN randomized controlled trial. Sleep 2019; 42: zsy234.
dc.identifier.citedreferenceOlason M, Andrason RH, Jonsdottir IH, Kristbergsdottir H, Jensen MP. Cognitive behavioral therapy for depression and anxiety in an interdisciplinary rehabilitation program for chronic pain: a randomized controlled trial with a 3‐year follow‐up. Int J Behav Med 2018; 25: 55 – 66.
dc.identifier.citedreferenceHawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short‐Form McGill Pain Questionnaire (SF‐MPQ), Chronic Pain Grade Scale (CPGS), Short Form‐36 Bodily Pain Scale (SF‐36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res (Hoboken) 2011; 63 Suppl 11: S240 – 52.
dc.identifier.citedreferenceClauw DJ. Fibromyalgia: a clinical review. JAMA 2014; 311: 1547 – 55.
dc.identifier.citedreferenceClauw DJ, Hassett AL. The role of centralised pain in osteoarthritis. Clin Exp Rheumatol 2017; 35 Suppl 107: 79 – 84.
dc.identifier.citedreferenceLee YC, Nassikas NJ, Clauw DJ. The role of the central nervous system in the generation and maintenance of chronic pain in rheumatoid arthritis, osteoarthritis and fibromyalgia. Arthritis Res Ther 2011; 13: 211.
dc.identifier.citedreferenceLee YC, Bingham CO, Edwards RR, Marder W, Phillips K, Bolster MB, et al. Association between pain sensitization and disease activity in patients with rheumatoid arthritis: a cross‐sectional study. Arthritis Care Res (Hoboken) 2018; 70: 197 – 204.
dc.identifier.citedreferenceDaut RL, Cleeland CS, Flanery RC. Development of the Wisconsin Brief Pain Questionnaire to assess pain in cancer and other diseases. Pain 1983; 17: 197 – 210.
dc.identifier.citedreferenceKeller S, Bann CM, Dodd SL, Schein J, Mendoza TR, Cleeland CS. Validity of the brief pain inventory for use in documenting the outcomes of patients with noncancer pain. Clin J Pain 2004; 20: 309 – 18.
dc.identifier.citedreferenceTan G, Jensen MP, Thornby JI, Shanti BF. Validation of the Brief Pain Inventory for chronic nonmalignant pain. J Pain 2004; 5: 133 – 7.
dc.identifier.citedreferenceGjeilo KH, Stenseth R, Wahba A, Lydersen S, Klepstad P. Validation of the brief pain inventory in patients six months after cardiac surgery. J Pain Symptom Manage 2007; 34: 648 – 56.
dc.identifier.citedreferenceMendoza T, Mayne T, Rublee D, Cleeland C. Reliability and validity of a modified Brief Pain Inventory short form in patients with osteoarthritis. Eur J Pain 2006; 10: 353 – 61.
dc.identifier.citedreferenceCleeland C. The brief pain inventory: user guide. Houston (TX): MD Anderson Cancer Center; 2009.
dc.identifier.citedreferenceMease PJ, Spaeth M, Clauw DJ, Arnold LM, Bradley LA, Russell IJ, et al. Estimation of minimum clinically important difference for pain in fibromyalgia. Arthritis Care Res (Hoboken) 2011; 63: 821 – 6.
dc.identifier.citedreferenceWong K, Zeng L, Zhang L, Bedard G, Wong E, Tsao M, et al. Minimal clinically important differences in the brief pain inventory in patients with bone metastases. Support Care Cancer 2013; 21: 1893 – 9.
dc.identifier.citedreferenceDworkin 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.
dc.identifier.citedreferencePolomano RC, Galloway KT, Kent ML, Brandon‐Edwards H, Kwon KN, Morales C, et al. Psychometric testing of the Defense and Veterans Pain Rating Scale (DVPRS): a new pain scale for military population. Pain Med 2016; 17: 1505 – 19.
dc.identifier.citedreferenceBuckenmaier CC, Galloway KT, Polomano RC, McDuffie M, Kwon N, Gallagher RM. Preliminary validation of the Defense and Veterans Pain Rating Scale (DVPRS) in a military population. Pain Med 2013; 14: 110 – 23.
dc.identifier.citedreferenceHaun JN, Ballistrea LM, Melillo C, Standifer M, Kip K, Paykel J, et al. A mobile and web‐based self‐directed complementary and integrative health program for veterans and their partners (Mission Reconnect): protocol for a mixed‐methods randomized controlled trial. JMIR Res Protoc 2019; 8: e13666.
dc.identifier.citedreferenceVA evidence synthesis program evidence briefs. Washington (DC): Department of Veterans Affairs; 2011.
dc.identifier.citedreferenceNassif TH, Hull A, Holliday SB, Sullivan P, Sandbrink F. Concurrent validity of the defense and veterans pain rating scale in VA outpatients. Pain Med 2015; 16: 2152 – 61.
dc.identifier.citedreferenceHassett AL, Wasserman R, Goesling J, Rakovitis K, Shi B, Brummett CM. Longitudinal assessment of pain outcomes in the clinical setting: development of the “APOLO” electronic data capture system. Reg Anesth Pain Med 2012; 37: 398 – 402.
dc.identifier.citedreferenceBrummett CM, Bakshi RR, Goesling J, Leung D, Moser SE, Zollars JW, et al. Preliminary validation of the Michigan Body Map. Pain 2016; 157: 1205 – 12.
dc.identifier.citedreferenceHochman JR, Gagliese L, Davis AM, Hawker GA. Neuropathic pain symptoms in a community knee OA cohort. Osteoarthritis Cartilage 2011; 19: 647 – 54.
dc.identifier.citedreferenceBrummett CM, Urquhart AG, Hassett AL, Tsodikov A, Hallstrom BR, Wood NI, et al. Characteristics of fibromyalgia independently predict poorer long‐term analgesic outcomes following total knee and hip arthroplasty. Arthritis Rheumatol 2015; 67: 1386 – 94.
dc.identifier.citedreferenceGoesling J, Brummett CM, Meraj TS, Moser SE, Hassett AL, Ditre JW. Associations between pain, current tobacco smoking, depression, and fibromyalgia status among treatment‐seeking chronic pain patients. Pain Med 2015; 16: 1433 – 42.
dc.identifier.citedreferenceBrummett CM, Janda AM, Schueller CM, Tsodikov A, Morris M, Williams DA, et al. Survey criteria for fibromyalgia independently predict increased postoperative opioid consumption after lower‐extremity joint arthroplasty: a prospective, observational cohort study. Anesthesiology 2013; 119: 1434 – 43.
dc.identifier.citedreferenceJanda AM, As‐Sanie S, Rajala B, Tsodikov A, Moser SE, Clauw DJ, et al. Fibromyalgia survey criteria is associated with increased postoperative opioid consumption in women undergoing hysterectomy. Anesthesiology 2015; 122: 1103 – 11.
dc.identifier.citedreferenceNeville SJ, Clauw AD, Moser SE, Urquhart AG, Clauw DJ, Brummett CM, et al. Association between the 2011 fibromyalgia survey criteria and multisite pain sensitivity in knee osteoarthritis. Clin J Pain 2018; 34: 909 – 17.
dc.identifier.citedreferenceScott JR, Hassett AL, Schrepf AD, Brummett CM, Harris RE, Clauw DJ, et al. Moderate alcohol consumption is associated with reduced pain and fibromyalgia symptoms in chronic pain patients. Pain Med 2018; 19: 2515 – 27.
dc.identifier.citedreferenceHassett AL, Goesling J, Mathur SN, Moser SE, Brummett CM, Sibille KT. Affect and low back pain: more to consider than the influence of negative affect alone. Clin J Pain 2016; 32: 907 – 14.
dc.identifier.citedreferenceHassett AL, Hilliard PE, Goesling J, Clauw DJ, Harte SE, Brummett CM. Reports of chronic pain in childhood and adolescence among patients at a tertiary care pain clinic. J Pain 2013; 14: 1390 – 7.
dc.identifier.citedreferenceBrummett CM, Goesling J, Tsodikov A, Meraj TS, Wasserman RA, Clauw DJ, et al. Prevalence of the fibromyalgia phenotype in spine pain patients presenting to a tertiary care pain clinic and the potential treatment implications. Arthritis Rheum 2013; 65: 3285 – 92.
dc.identifier.citedreferenceBrummett CM, Lohse AG, Tsodikov A, Moser SE, Meraj TS, Goesling J, et al. Aberrant analgesic response to medial branch blocks in patients with characteristics of fibromyalgia [published erratum appears in Reg Anesth Pain Med 2015;40:735]. Reg Anesth Pain Med 2015; 40: 249 – 54.
dc.identifier.citedreferenceHassett AL, Pierce J, Goesling J, Fritsch L, Bakshi RR, Kohns DJ, et al. Initial validation of the electronic form of the Michigan Body Map. Reg Anesth Pain Med 2019. E‐pub ahead of print.
dc.identifier.citedreferenceBrummett CM, Hassett AL, Brummett KA, Clauw DJ, Williams DA. The Michigan Body Map and its use in assessing the American College of Rheumatology survey criteria for fibromyalgia [abstract]. Arthritis Rheum 2011; 63 Suppl: S368.
dc.identifier.citedreferenceWolfe F, Clauw DJ, Fitzcharles MA, Goldenberg DL, Häuser W, Katz RS, et al. Fibromyalgia criteria and severity scales for clinical and epidemiological studies: a modification of the ACR preliminary diagnostic criteria for fibromyalgia. J Rheumatol 2011; 38: 1113 – 22.
dc.identifier.citedreferenceSchrepf A, Moser S, Harte SE, Basu N, Kaplan C, Kolarik E, et al. Top down or bottom up? An observational investigation of improvement in fibromyalgia symptoms following hip and knee replacement. Rheumatology (Oxford) 2020; 59: 594 – 602.
dc.identifier.citedreferenceMorffi D, Larach DB, Moser SE, Goesling J, Hassett AL, Brummett CM. Medial branch radiofrequency ablation outcomes in patients with centralized pain. Reg Anesth Pain Med 2019. E‐pub ahead of print.
dc.identifier.citedreferenceFreynhagen R, Baron R, Gockel U, Tölle TR. painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain. Curr Med Res Opin 2006; 22: 1911 – 20.
dc.identifier.citedreferenceCarlesso LC, Hawker GA, Hochman JR, Davis AM. Assessing joint pain and function in the clinic. In: Arendt‐Nielsen L, Perrot S, editors. Pain in the joints. Philadelphia: Wolters Kluwer Health; 2017, p. 93 – 116.
dc.identifier.citedreferenceTampin B, Bohne T, Callan M, Kvia M, Melsom Myhre A, Neoh EC, et al. Reliability of the English version of the painDETECT questionnaire. Curr Med Res Opin 2017; 33: 741 – 8.
dc.identifier.citedreferenceRifbjerg‐Madsen S, Wæhrens EE, Danneskiold‐Samsøe B, Amris K. Psychometric properties of the painDETECT questionnaire in rheumatoid arthritis, psoriatic arthritis and spondyloarthritis: Rasch analysis and test‐retest reliability. Health Qual Life Outcomes 2017; 15: 110.
dc.identifier.citedreferenceMathieson S, Maher CG, Terwee CB, Folly de Campos T, Lin CW. Neuropathic pain screening questionnaires have limited measurement properties: a systematic review. J Clin Epidemiol 2015; 68: 957 – 66.
dc.identifier.citedreferenceCappelleri JC, Koduru V, Bienen EJ, Sadosky A. A cross‐sectional study examining the psychometric properties of the painDETECT measure in neuropathic pain. J Pain Res 2015; 8: 159 – 67.
dc.identifier.citedreferenceMoreton BJ, Tew V, das Nair R, Wheeler M, Walsh DA, Lincoln NB. Pain phenotype in patients with knee osteoarthritis: classification and measurement properties of painDETECT and self‐report Leeds assessment of neuropathic symptoms and signs scale in a cross‐sectional study. Arthritis Care Res (Hoboken) 2015; 67: 519 – 28.
dc.identifier.citedreferenceTampin B, Briffa NK, Goucke R, Slater H. Identification of neuropathic pain in patients with neck/upper limb pain: application of a grading system and screening tools. Pain 2013; 154: 2813 – 22.
dc.identifier.citedreferenceCella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, et al. 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 2010; 63: 1179 – 94.
dc.identifier.citedreferenceCella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, et al. The Patient‐Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care 2007; 45 Suppl 1: S3 – 11.
dc.identifier.citedreferenceHealthMeasures. PROMIS score cut points. 2020. URL: http://www.healt​hmeas​ures.net/score-and-inter​pret/inter​pret-score​s/promi​s/promis-score-cut-points.
dc.identifier.citedreferenceAmtmann D, Cook KF, Jensen MP, Chen WH, Choi S, Revicki D, et al. Development of a PROMIS item bank to measure pain interference. Pain 2010; 150: 173 – 82.
dc.identifier.citedreferenceBartlett SJ, Orbai AM, Duncan T, DeLeon E, Ruffing V, Clegg‐Smith K, et al. Reliability and validity of selected PROMIS measures in people with rheumatoid arthritis. PLoS One 2015; 10: e0138543.
dc.identifier.citedreferenceAskew RL, Cook KF, Revicki DA, Cella D, Amtmann D. Evidence from diverse clinical populations supported clinical validity of PROMIS pain interference and pain behavior. J Clin Epidemiol 2016; 73: 103 – 11.
dc.identifier.citedreferenceAmtmann D, Kim J, Chung H, Askew RL, Park R, Cook KF. Minimally important differences for Patient Reported Outcomes Measurement Information System pain interference for individuals with back pain. J Pain Res 2016; 9: 251 – 5.
dc.identifier.citedreferenceSchneider S, Junghaenel DU, Keefe FJ, Schwartz JE, Stone AA, Broderick JE. Individual differences in the day‐to-day variability of pain, fatigue, and well‐being in patients with rheumatic disease: associations with psychological variables. Pain 2012; 153: 813 – 22.
dc.identifier.citedreferenceStone AA, Broderick JE, Junghaenel DU, Schneider S, Schwartz JE. PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity. J Clin Epidemiol 2016; 74: 194 – 206.
dc.identifier.citedreferenceStone AA, Shiffman SS. Ecological validity for patient reported outcomes. In: Steptoe A, editor. Handbook of behavioral medicine: methods and applications. New York: Springer Science+Business Media; 2010, p. 99 – 112.
dc.identifier.citedreferenceSchneider S, Stone AA, Schwartz JE, Broderick JE. Peak and end effects in patients’ daily recall of pain and fatigue: a within‐subjects analysis. J Pain 2011; 12: 228 – 35.
dc.identifier.citedreferenceStone AA, Schwartz JE, Broderick JE, Shiffman SS. Variability of momentary pain predicts recall of weekly pain: a consequence of the peak (or salience) memory heuristic. Pers Soc Psychol Bull 2005; 31: 1340 – 6.
dc.identifier.citedreferenceStone AA, Broderick JE, Kaell AT, DelesPaul PA, Porter LE. Does the peak‐end phenomenon observed in laboratory pain studies apply to real‐world pain in rheumatoid arthritics? [original report]. J Pain 2000; 1: 212 – 7.
dc.identifier.citedreferenceJensen MP, Hu X, Potts SL, Gould EM. Measuring outcomes in pain clinical trials: the importance of empirical support for measure selection. Clin J Pain 2014; 30: 744 – 8.
dc.identifier.citedreferenceStone AA, Schneider S, Broderick JE, Schwartz JE. Single‐day pain assessments as clinical outcomes: not so fast. Clin J Pain 2014; 30: 739 – 43.
dc.identifier.citedreferenceStone AA, Broderick JE, Kaell AT. Single momentary assessments are not reliable outcomes for clinical trials. Contemp Clin Trials 2010; 31: 466 – 72.
dc.identifier.citedreferenceJensen MP, Hu X, Potts SL, Gould EM. Single vs composite measures of pain intensity: relative sensitivity for detecting treatment effects. Pain 2013; 154: 534 – 8.
dc.identifier.citedreferenceHeapy A, Dziura J, Buta E, Goulet J, Kulas JF, Kerns RD. Using multiple daily pain ratings to improve reliability and assay sensitivity: how many is enough? [original report]. J Pain 2014; 15: 1360 – 5.
dc.identifier.citedreferenceShiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol 2008; 4: 1 – 32.
dc.identifier.citedreferenceUS Food and Drug Administration. Patient‐reported outcome measures: use in medical product development to support labeling claims. 2009. URL: https://www.fda.gov/regul​atory-infor​matio​n/search-fda-guida​nce-docum​ents/patie​nt-repor​ted-outco​me-measu​res-use-medic​al-produ​ct-devel​opment-suppo​rt-label​ing-claims.
dc.identifier.citedreferenceBroderick JE, Schwartz JE, Shiffman S, Hufford MR, Stone AA. Signaling does not adequately improve diary compliance. Ann Behav Med 2003; 26: 139 – 48.
dc.identifier.citedreferenceRobinson K, Kennedy N, Harmon D. The flow experiences of people with chronic pain. OTJR (Thorofare N J) 2012; 32: 104 – 12.
dc.identifier.citedreferenceMay M, Junghaenel DU, Ono M, Stone AA, Schneider S. Ecological momentary assessment methodology in chronic pain research: a systematic review. J Pain 2018; 19: 699 – 716.
dc.identifier.citedreferenceOno M, Schneider S, Junghaenel DU, Stone AA. What affects the completion of ecological momentary assessments in chronic pain research? An individual patient data meta‐analysis. J Med Internet Res 2019; 21: e11398.
dc.identifier.citedreferenceKratz AL, Kalpakjian CZ, Hanks RA. Are intensive data collection methods in pain research feasible in those with physical disability? A study in persons with chronic pain and spinal cord injury. Qual Life Res 2017; 26: 587 – 600.
dc.identifier.citedreferenceCarlozzi NE, Schilling S, Freedman J, Kalpakjian CZ, Kratz AL. The reliability of end of day and ecological momentary assessments of pain and pain interference in individuals with spinal cord injury. Qual Life Res 2018; 27: 3003 – 12.
dc.identifier.citedreferenceKratz AL, Murphy SL, Braley TJ. Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis. Arch Phys Med Rehabil 2017; 98: 2142 – 50.
dc.identifier.citedreferenceStone AA, Broderick JE, Schwartz JE, Shiffman S, Litcher‐Kelly L, Calvanese P. Intensive momentary reporting of pain with an electronic diary: reactivity, compliance, and patient satisfaction. Pain 2003; 104: 343 – 51.
dc.identifier.citedreferenceCruise CE, Broderick J, Porter L, Kaell A, Stone AA. Reactive effects of diary self‐assessment in chronic pain patients. Pain 1996; 67: 253 – 8.
dc.identifier.citedreferenceSchneider S, Choi SW, Junghaenel DU, Schwartz JE, Stone AA. Psychometric characteristics of daily diaries for the Patient‐Reported Outcomes Measurement Information System (PROMIS(R)): a preliminary investigation. Qual Life Res 2013; 22: 1859 – 69.
dc.identifier.citedreferenceSafikhani S, Gries KS, Trudeau JJ, Reasner D, Rüdell K, Coons SJ, et al. Response scale selection in adult pain measures: results from a literature review. J Patient Rep Outcomes 2017; 2: 40.
dc.identifier.citedreferenceRitter PL, Gonzalez VM, Laurent DD, Lorig KR. Measurement of pain using the visual numeric scale. J Rheumatol 2006; 33: 574 – 80.
dc.identifier.citedreferenceJackson D, Horn S, Kersten P, Turner‐Stokes L. Development of a pictorial scale of pain intensity for patients with communication impairments: initial validation in a general population. Clin Med (Lond) 2006; 6: 580 – 5.
dc.identifier.citedreferenceGonzalez‐Fernandez M, Ghosh N, Ellison T, McLeod JC, Pelletier CA, Williams K. Moving beyond the limitations of the visual analog scale for measuring pain: novel use of the general labeled magnitude scale in a clinical setting. Am J Phys Med Rehabil 2014; 93: 75 – 81.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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