PROMIS PF CAT Outperforms the ODI and SF-36 Physical Function Domain in Spine Patients

Spine

Volumn 42, Issue 12, 2017, Pages 921-929

  Brodke, Darrel S ^a   Goz, Vadim ^a   Voss, Maren W ^a   Lawrence, Brandon D ^a   Spiker, William Ryan ^a   Hung, Man ^a  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

patient reported outcomes; PF CAT; PROMIS; psychometrics; Rasch modeling

Indexed keywords

ADULT; AGED; ARTICLE; BACKACHE; COMPUTERIZED ADAPTIVE TESTING; CONTROLLED STUDY; EVIDENCE BASED PRACTICE; FEMALE; HUMAN; LEG PAIN; MAJOR CLINICAL STUDY; MALE; OSWESTRY DISABILITY INDEX; PRIORITY JOURNAL; PROMIS PHYSICAL FUNCTION CAT QUESTIONNAIRE; QUESTIONNAIRE; RASCH ANALYSIS; SHORT FORM 36; ADOLESCENT; COMPLICATION; DISABILITY; HEALTH STATUS INDICATOR; LEG; MIDDLE AGED; PAIN; PATIENT-REPORTED OUTCOME; PSYCHOMETRY; SPINAL DISEASES; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BACK PAIN; DISABILITY EVALUATION; FEMALE; HEALTH STATUS INDICATORS; HUMANS; LEG; MALE; MIDDLE AGED; PAIN; PATIENT REPORTED OUTCOME MEASURES; PSYCHOMETRICS; SPINAL DISEASES; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 84992679426     PISSN: 03622436     EISSN: 15281159     Source Type: Journal    
DOI: 10.1097/BRS.0000000000001965     Document Type: Article

References (32)

1. Marshall S, Haywood K, Fitzpatrick R. Impact of patient-reported outcome measures on routine practice: A structured review. J Eval Clin Pract 2006;12:559-68.
2. McCormick JD, Werner BC, Shimer AL. Patient-reported outcome measures in spine surgery. JAmAcadOrthopSurg2013;21:99-107.
3. Chapman JR, Norvell DC, Hermsmeyer JT, et al. Evaluating common outcomes for measuring treatment success for chronic low back pain. Spine (Phila Pa 1976) 2011;36(21 Suppl):S54-68.
4. Cella D, Riley W, Stone A, 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.
5. Cella D, Yount S, Rothrock N, 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(5 Suppl 1):S3-11.
6. Rose M, Bjorner JB, Becker J, et al. Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS). J Clin Epidemiol 2008;61:17-33.
7. Choi SW. Firestar: computerized adaptive testing simulation program for polytomous item response theory models. Appl Psychol Measur 2009;33:644.
8. Fries J, Bruce B, Cella D. The promise of PROMIS: using item response theory to improve assessment of patient-reported outcomes. Clin Exp Rheumatol 2005;23:S53.
9. Revicki DA, Cella DF. Health status assessment for the twenty-first century: item response theory, item banking and computer adaptive testing. Qual Life Res 1997;6:595-600.
10. Weiss DJ. Computerized adaptive testing for effective and efficient measurement in counseling and education. Measur Eval Counsel Develop 2004;37:70.
11. Hung M, Hon SD, Franklin JD, et al. Psychometric properties of the PROMIS physical function item bank in patients with spinal disorders. Spine (Phila Pa 1976) 2014;39:158-63.
12. Gandek B, Sinclair SJ, Kosinski M, et al. Psychometric evaluation of the SF-36 health survey in Medicare managed care. Health Care Financ Rev 2004;25:5-25.
13. Dawson AP, Steele EJ, Hodges PW, et al. Utility of the Oswestry Disability Index for studies of back pain related disability in nurses: evaluation of psychometric and measurement properties. Int J Nurs Stud 2010;47:604-7.
14. Fairbank JC, Couper J, Davies JB, et al. The Oswestry Low Back Pain Disability Questionnaire. Physiotherapy 1980;66:271-3.
15. Rasch, Georg. Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests. (1960) Oxford, England: Nielsen & Lydiche. xiii 184 pp.
16. Hobart JC, Cano SJ, Zajicek JP, et al. Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations. Lancet Neurol 2007;6:1094-105.
17. Hung M, Hon SD, Franklin JD, et al. Psychometric properties of the PROMIS physical function item bank in patients with spinal disorders. Spine 2014;39:158-63.
18. Reise SP, RevickiDA. Handbook of ItemResponseTheoryModeling: Applications to Typical Performance Assessment. Routledge; 2014.
19. Thissen D, Pommerich M, Billeaud K, et al. Item response theory for scores on tests including polytomous items with ordered responses. Appl Psychol Measur 1995;19:39-49.
20. Bond TG, Fox CM. Applying the Rasch model: Fundamental Measurement in the Human Sciences. Psychology Press; 2013.
21. Wright BD, Masters GN. Rating Scale Analysis. Rasch Measurement. Chicago, IL: MESA Press; 1982.
22. Hung M, Clegg DO, Greene T, et al. Evaluation of the PROMIS physical function item bank in orthopaedic patients. J Orthop Res 2011;29:947-53.
23. Hung M, Baumhauer JF, Latt LD, et al. Validation of PROMIS (R) Physical Function computerized adaptive tests for orthopaedic foot and ankle outcome research. Clin Orthop Relat Res 2013;471: 3466-74.
24. Beckmann JT, Hung M, Bounsanger J, et al. Psychometric evaluation of the PROMIS Physical Function Computerized Adaptive Test in comparison to the American Shoulder and Elbow Surgeons score and Simple Shoulder Test in patients with rotator cuff disease. J Shoulder Elbow Surg 2015;24:1961-7.
25. Driban JB, Morgan N, Price LL, et al. Patient-Reported Outcomes Measurement Information System (PROMIS) instruments among individuals with symptomatic knee osteoarthritis: A cross-sectionalstudy of floor/ceiling effects and construct validity. BMC Musculoskelet Disord 2015;16:253.
26. Amtmann D, Bamer AM, Johnson KL, et al. A comparison of multiple patient reported outcome measures in identifying major depressive disorder in people with multiple sclerosis. J Psychosom Res 2015;79:550-7.
27. Hung M, Stuart AR, Higgins TF, et al. Computerized adaptive testing using the PROMIS Physical Function Item Bank reduces test burden with less ceiling effects compared with the short musculoskeletal function assessment in orthopaedic trauma patients. J Orthop Trauma 2014;28:439-43.
28. Oude Voshaar MA, Ten Klooster PM, Glas CA, et al. Validity and measurement precision of the PROMIS physical function item bank and a content validity-driven 20-item short form in rheumatoid arthritis compared with traditional measures. Rheumatology (Oxford) 2015;54:2221-9.
29. Lu YM, Wu YY, Hsieh CL, et al. Measurement precision of the disability for back pain scale-by applying Rasch analysis. Health Qual Life Outcomes 2013;11:119.
30. Lochhead LE, MacMillan PD. Psychometric properties of the Oswestry disability index: Rasch analysis of responses in a work-disabled population. Work 2013;46:67-76.
31. Hsiao YY, Shih CL, Yu WH, et al. Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis. Qual Life Res 2015;24:279-85.
32. Jenkinson C, Fitzpatrick R, Garratt A, et al. Can item response theory reduce patient burden when measuring health status in neurological disorders Results from Rasch analysis of the SF-36 physical functioning scale (PF-10). J Neurol Neurosurg Psychiatry 2001;71:220-4.