Functional Assessment of Chronic Illness Therapy-Fatigue is a reliable and valid measure in patients with active ankylosing spondylitis
David Cella, William R Lenderking, Peter Chongpinitchai, Andrew G Bushmakin, Oluwaseyi Dina, Lisy Wang, Joseph C Cappelleri, Victoria Navarro-Compán, David Cella, William R Lenderking, Peter Chongpinitchai, Andrew G Bushmakin, Oluwaseyi Dina, Lisy Wang, Joseph C Cappelleri, Victoria Navarro-Compán
Abstract
Background: The Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale has demonstrated good internal consistency and responsiveness to changes in clinical status among patients with ankylosing spondylitis (AS). We aimed to further evaluate the psychometric properties of the FACIT-F scale in adult patients with AS.
Methods: Measurement properties of the FACIT-F scale were evaluated using data from tofacitinib phase 2/3 (NCT01786668/NCT03502616) studies in adult patients with active AS.
Results: Second-order confirmatory factor modeling supported the measurement structure of the FACIT-F scale (Bentler's comparative fit index ≥ 0.91), and FACIT-F demonstrated excellent internal consistency (Cronbach's coefficient α ≥ 0.88) and test-retest reliability (Intraclass Correlation Coefficient ≥ 0.75). Correlation coefficients between FACIT-F and other patient-reported outcomes generally exceeded 0.40, supporting convergent validity. Meaningful within-patient change was estimated as 3.1-6.3 for FACIT-F total score, and 1.4-2.8 and 1.7-3.6 for FACIT-F Experience and Impact domain scores, respectively. Large (effect size ≥ 1.17 standard deviation units), statistically significant differences in FACIT-F domain/total scores between 'no disease activity' (Patient Global Assessment of Disease Activity [PtGA] = 0) and 'very active disease' (PtGA = 10) patient groups supported known-groups validity. Ability to detect change was evidenced by an approximately linear relationship between changes in FACIT-F and PtGA scores.
Conclusions: FACIT-F is a reliable and valid measure for evaluating fatigue in adult patients with active AS.
Trial registration: ClinicalTrials.gov; NCT01786668 (registered 6 February 2013, https://ichgcp.net/clinical-trials-registry/NCT01786668 ) and NCT03502616 (registered 11 April 2018, https://ichgcp.net/clinical-trials-registry/NCT03502616 ).
Keywords: Ankylosing; Arthritis; Patient-reported outcome measures; Spondylitis.
Conflict of interest statement
D Cella has acted as a consultant for AbbVie, Alexion Pharmaceuticals, Astellas Pharma, Bayer, Bristol-Myers Squibb, Clovis Oncology, Evidera, Exelixis, Horizon Therapeutics, Janssen, Merck/Schering-Plough, National Academy of Sciences, Novartis Pharma K.K. (Japan), Pfizer Inc, PledPharma, and Regeneron. WR Lenderking is an employee of Evidera and shareholder of Pfizer Inc. P Chongpinitchai is an employee of Evidera. AG Bushmakin, O Dina, L Wang, and JC Cappelleri are employees and stockholders of Pfizer Inc. V Navarro-Compán has received grant/research support from AbbVie and Novartis, and has acted as a consultant for, and been a member of the speakers’ bureau for, AbbVie, Janssen, Lilly, MSD, Pfizer Inc, and UCB.
© 2022. The Author(s).
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References
- Sieper J, et al. Ankylosing spondylitis: an overview. Ann Rheum Dis. 2002;61(Suppl 3):iii8–18. doi: 10.1136/ard.61.suppl_3.iii8.
- Dean LE, et al. Global prevalence of ankylosing spondylitis. Rheumatology (Oxford) 2014;53(4):650–657. doi: 10.1093/rheumatology/ket387.
- Poddubnyy D, Sieper J. Treatment of axial spondyloarthritis: what does the future hold? Curr Rheumatol Rep. 2020;22(9):47. doi: 10.1007/s11926-020-00924-5.
- Machado P, et al. A stratified model for health outcomes in ankylosing spondylitis. Ann Rheum Dis. 2011;70(10):1758–1764. doi: 10.1136/ard.2011.150037.
- Schneeberger EE, et al. Fatigue assessment and its impact in the quality of life of patients with ankylosing spondylitis. Clin Rheumatol. 2015;34(3):497–501. doi: 10.1007/s10067-014-2682-3.
- Turan Y, et al. Assessment of fatigue in patients with ankylosing spondylitis. Rheumatol Int. 2007;27(9):847–852. doi: 10.1007/s00296-007-0313-x.
- van Tubergen A, et al. Assessment of fatigue in patients with ankylosing spondylitis: a psychometric analysis. Arthritis Rheum. 2002;47(1):8–16. doi: 10.1002/art1.10179.
- van der Heijde D, et al. Ankylosing spondylitis: plenary discussion and results of voting on selection of domains and some specific instruments. J Rheumatol. 1999;26(4):1003–1005.
- Navarro-Compán V, et al. The ASAS-OMERACT core domain set for axial spondyloarthritis. Semin Arthritis Rheum. 2021;51(6):1342–1349. doi: 10.1016/j.semarthrit.2021.07.021.
- Cella D, et al. Validation of the Functional Assessment of Chronic Illness Therapy Fatigue Scale relative to other instrumentation in patients with rheumatoid arthritis. J Rheumatol. 2005;32(5):811–819.
- Cella D, Lai JS, Stone A. Self-reported fatigue: one dimension or more? Lessons from the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) questionnaire. Support Care Cancer. 2011;19(9):1441–1450. doi: 10.1007/s00520-010-0971-1.
- Cella D, et al. Content validity and psychometric evaluation of Functional Assessment of Chronic Illness Therapy-Fatigue in patients with psoriatic arthritis. J Patient Rep Outcomes. 2019;3(1):30. doi: 10.1186/s41687-019-0115-4.
- Chandran V, et al. Functional assessment of chronic illness therapy-fatigue scale is valid in patients with psoriatic arthritis. Ann Rheum Dis. 2007;66(7):936–939. doi: 10.1136/ard.2006.065763.
- Revicki DA, et al. Psychometric characteristics of the ankylosing spondylitis quality of life questionnaire, short form 36 health survey, and functional assessment of chronic illness therapy-fatigue subscale. Health Qual Life Outcomes. 2009;7:6. doi: 10.1186/1477-7525-7-6.
- van der Heijde D, et al. Tofacitinib in patients with ankylosing spondylitis: a phase II, 16-week, randomised, placebo-controlled, dose-ranging study. Ann Rheum Dis. 2017;76(8):1340–1347. doi: 10.1136/annrheumdis-2016-210322.
- Deodhar A, et al. Tofacitinib for the treatment of ankylosing spondylitis: a phase III, randomised, double-blind, placebo-controlled study. Ann Rheum Dis. 2021;80(8):1004–1013. doi: 10.1136/annrheumdis-2020-219601.
- Webster K, Cella D, Yost K. The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: properties, applications, and interpretation. Health Qual Life Outcomes. 2003;1:79. doi: 10.1186/1477-7525-1-79.
- Cappelleri JC, et al. Patient-reported outcomes: measurement, implementation and interpretation. Chapman & Hall/CRC Biostatistics Series. Boca Raton: CRC Press; 2014.
- Nunally JC. Psychometric theory. 2. New York: McGraw-Hill; 1978.
- Schuck P. Assessing reproducibility for interval data in health-related quality of life questionnaires: which coefficient should be used? Qual Life Res. 2004;13(3):571–586. doi: 10.1023/B:QURE.0000021318.92272.2a.
- Reeve BB, et al. ISOQOL recommends minimum standards for patient-reported outcome measures used in patient-centered outcomes and comparative effectiveness research. Qual Life Res. 2013;22(8):1889–1905. doi: 10.1007/s11136-012-0344-y.
- McDowell I. Measuring health: a guide to rating scales and questionnaires. New York: Oxford University Press; 2006.
- Cappelleri JC, Bushmakin AG. Interpretation of patient-reported outcomes. Stat Methods Med Res. 2014;23(5):460–483. doi: 10.1177/0962280213476377.
- Cohen J. Statistical power analysis for the behavioral sciences. 2. Hillsdale: Lawrence Erlbaum; 1988.
- Gibbons JD, Chakrabarti S. Nonparametric statistical inference. 5. Boca Raton: CRC Press; 2011.
- US Food and Drug Administration (2020) FDA patient-focused drug development guidance series for enhancing the incorporation of the patient’s voice in medical product development and regulatory decision making
- Beaton DE, et al. Instrument selection using the OMERACT Filter 2.1: the OMERACT methodology. J Rheumatol. 2019;46(8):1028–1035. doi: 10.3899/jrheum.181218.
- Boers M, et al. OMERACT Filter 2.1: elaboration of the conceptual framework for outcome measurement in health intervention studies. J Rheumatol. 2019;46(8):1021–1027. doi: 10.3899/jrheum.181096.
- Overman CL, et al. The prevalence of severe fatigue in rheumatic diseases: an international study. Clin Rheumatol. 2016;35(2):409–415. doi: 10.1007/s10067-015-3035-6.
Source: PubMed