Establishing a Common Metric for Physical Function: Linking the HAQ-DI and SF-36 PF Subscale to PROMIS® Physical Function

Journal of General Internal Medicine

Volumn 30, Issue 10, 2015, Pages 1517-1523

  Schalet, Benjamin D ^a   Revicki, Dennis A ^b   Cook, Karon F ^a   Krishnan, Eswar ^c   Fries, Jim F ^c   Cella, David ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b EVIDERA   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

HAQ DI; patient reported outcome; physical function; PRO; PROMIS; score linking; SF 36

Indexed keywords

ADULT; AGED; ARM MOVEMENT; ARTICLE; ASSESSMENT OF HUMANS; COMPARATIVE EFFECTIVENESS; CORRELATION ANALYSIS; FEMALE; HEALTH ASSESSMENT QUESTIONNAIRE; HEALTH ASSESSMENT QUESTIONNAIRE DISABILITY INDEX; HUMAN; INTERNAL CONSISTENCY; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ERROR; PATIENT REPORTED OUTCOME MEASUREMENT INFORMATION SYSTEM PHYSICAL FUNCTION SCORE; PHYSICAL CAPACITY; SCORING SYSTEM; SHORT FORM 36; STATISTICS; ADOLESCENT; DAILY LIFE ACTIVITY; FITNESS; HEALTH SURVEY; MIDDLE AGED; PHYSIOLOGY; PROCEDURES; QUESTIONNAIRE; SELF REPORT; STANDARDS; VERY ELDERLY; YOUNG ADULT;

ACTIVITIES OF DAILY LIVING; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HEALTH SURVEYS; HUMANS; MALE; MIDDLE AGED; PHYSICAL FITNESS; SELF REPORT; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 84942501968     PISSN: 08848734     EISSN: 15251497     Source Type: Journal    
DOI: 10.1007/s11606-015-3360-0     Document Type: Article

References (38)

1. Basch E. New frontiers in patient-reported outcomes: adverse event reporting, comparative effectiveness, and quality assessment. Annu Rev Med. 2014;65(1):307–317. doi:10.1146/annurev-med-010713-141500.
2. Hung M, Nickisch F, Beals TC, Greene T, Clegg DO, Saltzman CL. New paradigm for patient-reported outcomes assessment in foot & ankle research: computerized adaptive testing. Foot Ankle Int. 2012;33(8):621–626.
3. Papuga MO, Beck CA, Kates SL, Schwarz EM, Maloney MD. Validation of GAITRite and PROMIS as high-throughput physical function outcome measures following ACL reconstruction. J Orthop Res. 2014;32(6):793–801.
4. Valderas J, Kotzeva A, Espallargues M, Guyatt G, Ferrans C, Halyard M, et al. The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature. Qual Life Res. 2008;17(2):179–193.
5. Cella 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(11):1179–1194. doi:10.1016/j.jclinepi.2010.04.011.
6. Fries JF, Cella D, Rose M, Krishnan E, Bruce B. Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing. J Rheumatol. 2009;36(9):2061–2066. doi:10.3899/jrheum.090358.
7. Rose M, Bjorner JB, Becker J, Fries JF, Ware JE. 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(1):17–33.
8. Rose M, Bjorner JB, Gandek B, Bruce B, Fries JF, Ware JE Jr. The PROMIS Physical Function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. J Clin Epidemiol. 2014;67(5):516–526. doi:10.1016/j.jclinepi.2013.10.024.
9. Tucker C, Cieza A, Riley A, Stucki G, Lai J, Bedirhan Ustun T, et al. Concept Analysis of the Patient Reported Outcomes Measurement Information System (PROMIS®) and the International Classification of Functioning, Disability and Health (ICF). Qual Life Res. 2014;6:1677–1686. doi:10.1007/s11136-014-0622-y.
10. Fries JF, Krishnan E, Rose M, Lingala B, Bruce B. Improved responsiveness and reduced sample size requirements of PROMIS physical function scales with item response theory. Arthritis Res Ther. 2011;13(5):R147. doi:10.1186/ar3461.
11. Liu H, Cella D, Gershon R, Shen J, Morales LS, Riley W, et al. Representativeness of the PROMIS Internet Panel. J Clin Epidemiol. 2010;63(11):1169–1178.
12. US Food and Drug Administration. Draft Guidance for industry. Qualification process for drug development tools. 2010. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM230597.pdf. Accessed June 30 2014.
13. Bruce B, Fries JF, Ambrosini D, Lingala B, Gandek B, Ware JE Jr, et al. Better assessment of physical function: Item improvement is neglected but essential. Arthritis Res Ther. 2009;11(6):R191. doi:10.1186/ar2890.
14. Hays RD, Spritzer KL, Amtmann D, Lai J-S, DeWitt EM, Rothrock N, et al. Upper Extremity and Mobility Subdomains from the Patient-Reported Outcomes Measurement Information System (PROMIS®) Adult Physical Functioning Item Bank. Arch. Phys. Med. Rehabil. 2013;Epub ahead of print.
15. Fries JF, Spitz P, Kraines RG, Holman HR. Measurement of patient outcome in arthritis. Arthritis Rheum. 1980;23(2):137–145.
16. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: a review of its history, issues, progress, and documentation. J Rheumatol. 2003;30(1):167–178.
17. Bruce B, Fries JF. The Health Assessment Questionnaire (HAQ). Clin. Exp. Rheumatol. 2005;23(5).
18. Ware JE Jr, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36). I. Conceptual Framework and Item Selection. Med Care. 1992;30(6):473–483.
19. Ware JE, Kosinski M, Dewey JE. How to score version 2 of the SF-36 health survey. Lincoln, R.I.: QualityMetric; 2000.
20. Kolen MJ, Brennan RL. Test equating, scaling, and linking: methods and practices. New York: Springer; 2004.
21. Reeve B, Fayers PM. Applying item response theory modelling for evaluating questionnaire item and scale properties. In: Fayers PM, Hays R, eds. Assessing quality of life in clinical trials. Oxford: New York Oxford University Press; 2005:55–73.
22. Edelen MO, Reeve BB. Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res. 2007;16(Suppl 1):5–18. doi:10.1007/s11136-007-9198-0.
23. Choi SW, Schalet B, Cook KF, Cella D. Establishing a Common Metric for Depressive Symptoms: Linking the BDI-II, CESD, and PHQ-9 to PROMIS Depression. Psychol Assess. 2014;26(2):513–527. doi:10.1037/a0035768.
24. Schalet BD, Cook KF, Choi SW, Cella D. Establishing a common metric for self-reported anxiety: Linking the MASQ, PANAS, and GAD-7 to PROMIS Anxiety. J Anxiety Disord. 2014;28(1):88–96. doi:10.1016/j.janxdis.2013.11.006.
25. Lai J-S, Cella D, Yanez B, Stone A. Linking Fatigue Measures on a Common Reporting Metric. J Pain Symptom Manag. 2014;48(4):639–648. doi:10.1016/j.jpainsymman.2013.12.236.
26. Samejima F. Estimation of latent ability using a response pattern of graded scores. Richmond, VA: Psychometric Society; 1969. Available from: http://www.psychometrika.org/journal/online/MN17.pdf.
27. Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, et al. Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care. 2007;45(5 Suppl 1):S22–S31. doi:10.1097/01.mlr.0000250483.85507.04.
28. Dorans NJ. Equating, Concordance, and Expectation. Appl Psychol Meas. 2004;28(4):227–246. doi:10.1177/0146621604265031.
29. Fisher WP, Eubanks RL, Marier RL. Equating-the MOS SF36 and the LSU HSI Physical Functioning Scales. J Outcome Meas. 1997;1(4):329–362.
30. Holzner B, Bode RK, Hahn EA, Cella D, Kopp M, Sperner-Unterweger B, et al. Equating EORTC QLQ-C30 and FACT-G scores and its use in oncological research. Eur J Cancer. 2006;42:3169–3177.
31. ten Klooster P, Oude Voshaar M, Gandek B, Rose M, Bjorner J, Taal E, et al. Development and evaluation of a crosswalk between the SF-36 physical functioning scale and Health Assessment Questionnaire disability index in rheumatoid arthritis. Health Qual Life Outcomes. 2013;11(1):199.
32. Dorans NJ. Linking Scores from Multiple Health Outcome Instruments. Qual Life Res. 2007;16(Supplement 1):85–94. doi:10.2307/40212575.
33. Wagner LI, Schink J, Bass M, Patel S, Diaz MV, Rothrock N, et al. Bringing PROMIS to practice: Brief and precise symptom screening in ambulatory cancer care. Cancer. 2015;121(6):927–934. doi:10.1002/cncr.29104.
34. Krishnan E, Sokka T, Häkkinen A, Hubert H, Hannonen P. Normative values for the Health Assessment Questionnaire disability index: benchmarking disability in the general population. Arthritis Rheum. 2004;50(3):953–960.
35. Krishnan E, Tugwell P, Fries JF. Percentile benchmarks in patients with rheumatoid arthritis: Health Assessment Questionnaire as a quality indicator (QI). Arthritis Res Ther. 2004;6(6):505–513.
36. Chandratre P, Roddy E, Clarson L, Richardson J, Hider SL, Mallen CD. Health-related quality of life in gout: a systematic review. Rheumatology. 2013;52(11):2031–2040.
37. Askew R, Kim J, Chung H, Cook K, Johnson K, Amtmann D. Development of a crosswalk for pain interference measured by the BPI and PROMIS pain interference short form. Qual Life Res. 2013;22(10):2769–2776. doi:10.1007/s11136-013-0398-5.
38. Cook KF, Kallen MA, Amtmann D. Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption. Qual Life Res. 2009;18(4):447–460. doi:10.1007/s11136-009-9464-4.