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Quality of Life Research

Erschienen in:

01.06.2012

Selection of items for a computer-adaptive test to measure fatigue in patients with rheumatoid arthritis: a Delphi approach

verfasst von: Stephanie Nikolaus, Christina Bode, Erik Taal, Mart A. F. J. vd Laar

Erschienen in: Quality of Life Research | Ausgabe 5/2012

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Abstract

Purpose

Computer-adaptive tests (CATs) can measure precisely at individual level with few items selected from an item bank. Our aim was to select fatigue items to develop a CAT for rheumatoid arthritis (RA) and include expert opinions that are important for content validity of measurement instruments.

Methods

Items were included from existing fatigue questionnaires and generated from interview material. In a Delphi procedure, rheumatologists, nurses, and patients evaluated the initial pool of 294 items. Items were selected for the CAT development if rated as adequate by at least 80% of the participants (when 50% or less agreed, they were excluded). Remaining items were adjusted based on participants’ comments and re-evaluated in the next round. The procedure stopped when all items were selected or rejected.

Results

A total of 10 rheumatologists, 20 nurses, and 15 rheumatoid arthritis patients participated. After the first round, 96 of 294 items were directly selected. Nine items were directly excluded, and remaining items were adjusted. In the second round, 124 items were presented for re-evaluation. Ultimately, 245 items were selected.

Conclusion

This study revealed a qualitatively evaluated item pool to be used for the item bank/CAT development. The Delphi procedure is a beneficial approach to select adequate items for measuring fatigue in RA.

Rose, M., & Bezjak, A. (2009). Logistics of collecting patient-reported outcomes (PROs) in clinical practice: an overview and practical examples. Quality of Life Research, 18, 125–136.PubMedCrossRef

Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of Item response theory. Thousand Oaks: Sage.

Walter, O. B. (2010). Adaptive tests for measuring anxiety and depression. In W. J. van der Linden & C. A. W. Glas (Eds.), Elements of adaptive testing (pp. 123–136). New York: Springer.

Wouters, H., Zwinderman, A. H., van Gool, W. A., Schmand, B., & Lindeboom, R. (2009). Adaptive cognitive testing in dementia. International Journal of Methods in Psychiatric Research, 18(2), 118–127.PubMedCrossRef

Lai, J.-S., Cella, D., Chang, C.-H., Bode, R. K., & Heinemann, A. W. (2003). Item banking to improve, shorten and computerize self-reported fatigue: An illustration of steps to create a core item bank from the FACIT-fatigue scale. Quality of Life Research, 12, 485–501.PubMedCrossRef

Lai, J.-S., Cella, D., Dineen, K., Bode, R., von Roenn, J., Gershon, R. C., et al. (2005). An item bank was created to improve the measurement of cancer-related fatigue. Journal of Clinical Epidemiology, 58, 190–197.PubMedCrossRef

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH Roadmap Cooperative Group during its first two years. Medical Care, 45, I3–I11.CrossRef

Fliege, H., Becker, J., Walter, O. B., Bjorner, J. B., Klapp, B. F., & Rose, M. (2005). Development of a computer-adaptive test for depression (D-CAT). Quality of Life Research, 14, 2277–2291.PubMedCrossRef

Walter, O. B., Becker, J., Bjorner, J. B., Fliege, F., Klapp, B. F., & Rose, M. (2007). Development and evaluation of a computer adaptive test for “anxiety” (Anxiety-CAT). Quality of Life Research, 16, 143–155.PubMedCrossRef

10.

Fliege, H., Becker, J., Walter, O. B., Rose, M., Bjorner, J. B., & Klapp, B. F. (2009). Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application. International Journal of Methods in Psychiatric Research, 18(1), 23–36.PubMedCrossRef

11.

Becker, J., Fliege, H., Kocalevent, R. D., Bjorner, J. B., Rose, M., Walter, O. B., et al. (2008). Functioning and validity of a computerized adaptive test to measure anxiety (A-CAT). Depression and Anxiety, 25, 182–194.CrossRef

12.

Kocalevent, R. D., Rose, M., Becker, J., Walter, O. B., Fliege, H., Bjorner, J. B., et al. (2009). An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception. Journal of Clinical Epidemiology, 62, 278–287.PubMedCrossRef

13.

Kvien, T. K., Scherer, H. U., & Burmester, G.-H. (2009). Rheumatoid arthritis. In J. W. J. Bijlsma (Ed.), EULAR compendium on rheumatic diseases (pp. 61–80). London: BMJ Publishing Group and European League Against Rheumatism.

14.

Wolfe, F., Hawley, D. J., & Wilson, K. (1996). The prevalence and meaning of fatigue in rheumatic disease. Journal of Rheumatology, 23(8), 1407–1417.PubMed

15.

Belza, B. L., Henke, C. J., Yelin, E. H., Epstein, W. V., & Gilliss, C. L. (1993). Correlates of fatigue in older adults with rheumatoid arthritis. Nursing Research, 42(2), 93–99.PubMedCrossRef

16.

Hewlett, S., Carr, M., Ryan, S., et al. (2005). Outcomes generated by patients with rheumatoid arthritis: how important are they? Musculoskeletal Care, 3, 131–142.PubMedCrossRef

17.

Kirwan, J. R., Newman, S., Tugwell, P. S., & Wells, G. A. (2009). Patient perspective on outcomes in rheumatology—a position paper for OMERACT 9. Journal of Rheumatology, 36(9), 2067–2070.PubMedCrossRef

18.

Kirwan, J. R., & Hewlett, S. (2007). Patient perspective: reasons and methods for measuring fatigue in rheumatoid arthritis. Journal of Rheumatology, 34, 1171–1173.PubMed

19.

Kirwan, J. R., Minnock, P., Adebajo, A., et al. (2007). Patient perspective: fatigue as a recommended patient centered outcome measure in rheumatoid arthritis. Journal of Rheumatology, 34, 1174–1177.PubMed

20.

Minnock, P., Kirwan, J., & Bresnihan, B. (2009). Fatigue is a reliable, sensitive and unique outcome measure in rheumatoid arthritis. Rheumatology, 48, 1533–1536.PubMedCrossRef

21.

Belza Tack, B. (1990). Fatigue in rheumatoid arthritis. Conditions, strategies, and consequences. Arthritis Care & Research, 3(2), 65–70.

22.

Hewlett, S., Cockshott, Z., Byron, M., Kitchen, K., Tipler, S., Pope, D., et al. (2005). Patients’ perceptions of fatigue in rheumatoid arthritis: Overwhelming, uncontrollable, ignored. Arthritis Care & Research, 53(5), 697–702.CrossRef

23.

Repping-Wuts, H., Uitterhoeve, R., van Riel, P., & van Achterberg, T. (2008). Fatigue as experienced by patients with rheumatoid arthritis (RA): A qualitative study. International Journal of Nursing Studies, 45, 995–1002.PubMedCrossRef

24.

Nikolaus, S., Bode, C., Taal, E., & van de Laar, M. A. F. J. (2010). New insights into the experience of fatigue among patients with rheumatoid arthritis: A qualitative study. Annals of the Rheumatic Diseases, 69(5), 895–897.PubMedCrossRef

25.

Hewlett, S., Hehir, M., & Kirwan, J. R. (2007). Measuring fatigue in rheumatoid arthritis: A systematic review of scales in use. Arthritis and Rheumatism, 57(3), 429–439.PubMedCrossRef

26.

Ware, J. E., Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473–483.PubMedCrossRef

27.

Cella, D., Yount, S., Sorensen, M., Chartash, E., Sengupta, N., & Grober, J. (2005). Validation of the Functional Assessment of Chronic Illness Therapy Fatigue Scale relative to other instrumentation in patients with rheumatoid arthritis. Journal of Rheumatology, 32, 811–819.PubMed

28.

McNair, D., Lorr, M., & Droppelman, L. (1992). Profile of mood states manual. New York: Multi-health Systems Inc.

29.

Belza Tack, B. (1991). Dimensions and correlates of fatigue in older adults with rheumatoid arthritis (dissertation). San Francisco: University of California.

30.

Nicklin, J., Cramp, F., Kirwan, J., Greenwood, R., Urban, M., & Hewlett, S. (2010). Measuring fatigue in rheumatoid arthritis: A cross-sectional study to evaluate the Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional questionnaire, visual analogue scales, and numerical rating scales. Arthritis Care & Research, 62(11), 1559–1568.CrossRef

31.

Powell, C. (2003). The Delphi technique: Myths and realities. Journal of Advanced Nursing, 41, 376–382.PubMedCrossRef

32.

Streiner, D. L., & Norman, G. R. (2003). Health measurement scales—a practical guide to their development and use. New York: Oxford University Press.

33.

Fayers, P. M., & Machin, D. (2000). Quality of life—assessment, analysis and interpretation. Chichester: Wiley.

34.

Yorkston, K. M., Johnson, K., Boesflug, E., Skala, J., & Amtmann, D. (2010). Communication about the experience of pain and fatigue in disability. Quality of Life Research, 19(2), 243–251.PubMedCrossRef

35.

De Wit, M. (2010). From orphan outcome to darling pet—patient participation at OMERACT and the emergence of fatigue as an important outcome for research. Annals of the Rheumatic Diseases, 69(Suppl3), 23.

36.

Nikolaus, S., Bode, C., Taal, E., & van de Laar, M. A. F. J. (submitted). Which dimensions of fatigue should be measured in patients with rheumatoid arthritis?—a Delphi study.

37.

Nikolaus, S., Bode, C., Taal, E., & van de Laar, M. A. F. J. (submitted). Experts’ evaluations of fatigue questionnaires used in rheumatoid arthritis—a Delphi study among patients, nurses and rheumatologists in the Netherlands.

38.

Jones, J., & Hunter, D. (1995). Qualitative research: consensus methods for medical and health services research. British Medical Journal, 311, 376–380.PubMedCrossRef

39.

Van der Zee, K. I., & Sanderman, R. (1993). Het meten van de algemene gezondheidstoestand met de RAND-36—een handleiding. Rijksuniversiteit Groningen: Noordelijk Centrum voor Gezondheidsvraagstukken.

40.

FACIT Functional Assessment of Chronic Illness Therapy. (2009). http://www.facit.org. Accessed 16 July 2009.

41.

Cluydts, R. J. G. (1979). Gemoedstoestanden en slaap—een experimenteel onderzoek [dissertation]. Brussel: Vrije Universiteit Brussel.

42.

MAPI INSTITUTE. (2009). http://www.mapi-institute.com. Accessed 31 July 2009.

43.

Guillemin, F., Bombardier, C., & Beaton, D. (1993). Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology, 46(12), 1417–1432.PubMedCrossRef

44.

Nikolaus, S., Bode, C., Taal, E., & van de Laar, M. A. F. J. (2010). Four different patterns of fatigue in rheumatoid arthritis patients: Results of a Q-sort study. Rheumatology, 49(11), 2191–2199.PubMedCrossRef

45.

Hjollund, N. H., Andersen, J. H., & Bech, P. (2007). Assessment of fatigue in chronic disease: A bibliographic study of fatigue measurement scales. Health and Quality of life Outcomes, 5(art. no. 12).

46.

Lwin, C. T. T., Bishay, M., Platts, R. G., Booth, D. A., & Bowman, S. J. (2003). The assessment of fatigue in primary Sjögren′s Syndrome. Scandinavian Journal of Rheumatology, 32, 33–37.PubMedCrossRef

47.

Neuberger, G. B. (2003). Measures of fatigue. Arthritis and Rheumatism, 49(5S), S175–S183.CrossRef

48.

Dittner, A. J., Wessely, S. C., & Brown, R. G. (2004). The assessment of fatigue—a practical guide for clinicians and researchers. Journal of Psychosomatic Research, 56, 157–170.PubMedCrossRef

49.

Ad hoc committee on systemic lupus erythematosus response criteria for fatigue. (2007). Measurement of fatigue in systemic lupus erythematosus: A systematic review. Arthritis and Rheumatism, 57(8), 1348–1357.CrossRef

50.

Minton, O., & Stone, P. (2009). A systematic review of the scales used for the measurement of cancer-related fatigue (CRF). Annals of Oncology, 20, 17–25.PubMedCrossRef

51.

Whithead, L. (2009). The measurement of fatigue in chronic illness: A systematic review of unidimensional and multidimensional fatigue measures. Journal of Pain and Symptom Management, 3(1), 107–128.CrossRef

52.

Patient-Reported Outcomes Measurement Information System (PROMIS). (2009). Preliminary item pools—fatigue (fatigue-experience and fatigue-impact). http://www.nihpromis.org/Web%20Pages/Preliminary%20Item%20Banks%20[2006]aspx. Accessed 13 November 2009.

53.

SurveyMonkey [http://www.surveymonkey.com].

54.

Avouac, J., Kowal-Bielecka, O., Landewe, R., Chwiesko, S., Miniati, I., Czirjak, L., et al. (2009). European league against rheumatism (EULAR) scleroderma trial and research group (EUSTAR) recommendations for the treatment of systemic sclerosis: Methods of elaboration and results of systematic literature research. Annals of the Rheumatic Diseases, 68, 629–634.PubMedCrossRef

55.

Lai, J.-S., Cook, K., Stone, A., Beaumont, J., & Cella, D. (2009). Classical test theory and item response theory/Rasch model to assess differences between patient-reported fatigue using 7-day and 4-week recall periods. Journal of Clinical Epidemiology, 62, 991–997.PubMedCrossRef

56.

Statistics Netherlands. (2010). http://www.cbs.nl/nl-NL/menu/themas/arbeid-sociale-zekerheid/publicaties/artikelen/archief/2005/2005-1825-wm.htm. Accessed 13 October 2010.

Titel: Selection of items for a computer-adaptive test to measure fatigue in patients with rheumatoid arthritis: a Delphi approach
verfasst von: Stephanie Nikolaus
Christina Bode
Erik Taal
Mart A. F. J. vd Laar
Publikationsdatum: 01.06.2012
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 5/2012
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-011-9982-8

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

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