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Erschienen in: Quality of Life Research 7/2016

28.01.2016

The PROMIS FatigueFM Profile: a self-report measure of fatigue for use in fibromyalgia

verfasst von: Anna L. Kratz, Stephen Schilling, Jenna Goesling, David A. Williams

Erschienen in: Quality of Life Research | Ausgabe 7/2016

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Abstract

Purpose

Fibromyalgia (FM) is characterized by myriad symptoms and problems. Fatigue is one of the most common, distressing, and disabling symptoms in FM. The purpose of this study was to use fatigue item banks that were developed as part of the Patient-Reported Outcomes Measurement Information System (PROMIS) to devise a self-report measure of fatigue for use in individuals with FM.

Methods

A sample of 532 adults with FM (age range = 18–77, 96.1 % female) completed the PROMIS fatigue item bank. Factor analyses and item response theory analyses were used to identify dimensionality and optimally performing items. These data were used in combination with clinical input to select items for a fatigue self-report measure for use in FM.

Results

Factor analyses revealed four distinct factors in the PROMIS fatigue item bank; items for each univariate subscale were identified by selecting four items with high item information values. A 16-item measure, the PROMIS FatigueFM Profile, consisting of four 4-item short forms reflecting fatigue experience (“intensity”) and fatigue impact in three subdomains—social, cognitive, and motivation—was created. The new PROMIS FatigueFM Profile short forms showed excellent internal reliability, low ceiling and floor effects, and equivalent or higher test information compared to the standard 4- and 7-item PROMIS fatigue short forms.

Conclusions

The newly developed PROMIS FatigueFM Profile, a 16-item measure consisting of four 4-item short forms of self-reported fatigue severity, shows early evidence of good psychometric characteristics, provides the ability to use short forms that assess distinct aspects of fatigue experience and fatigue impact, and demonstrates equivalent or higher levels of test information compared to standard PROMIS fatigue short forms with similar number of items. The PROMIS FatigueFM Profile indicated fatigue experience and impact levels approximately 1.5 standard deviations above the normative sample mean across all short forms. Future work to evaluate the validity and reliability of this new measure in individuals with FM is needed.

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Literatur
1.
Zurück zum Zitat Mease, P. J., Arnold, L. M., Crofford, L. J., Williams, D. A., Russell, I. J., Humphrey, L., et al. (2008). Identifying the clinical domains of fibromyalgia: Contributions from clinician and patient Delphi exercises. Arthritis and Rheumatism, 59(7), 952–960.CrossRefPubMed Mease, P. J., Arnold, L. M., Crofford, L. J., Williams, D. A., Russell, I. J., Humphrey, L., et al. (2008). Identifying the clinical domains of fibromyalgia: Contributions from clinician and patient Delphi exercises. Arthritis and Rheumatism, 59(7), 952–960.CrossRefPubMed
2.
Zurück zum Zitat Bennett, R. M., Jones, J., Turk, D. C., Russell, I. J., & Matallana, L. (2007). An internet survey of 2,596 people with fibromyalgia. BMC Musculoskeletal Disorders, 8, 27.CrossRefPubMedPubMedCentral Bennett, R. M., Jones, J., Turk, D. C., Russell, I. J., & Matallana, L. (2007). An internet survey of 2,596 people with fibromyalgia. BMC Musculoskeletal Disorders, 8, 27.CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Wolfe, F., Ross, K., Anderson, J., Russell, I. J., & Hebert, L. (1995). The prevalence and characteristics of fibromyalgia in the general population. Arthritis and Rheumatism, 38(1), 19–28.CrossRefPubMed Wolfe, F., Ross, K., Anderson, J., Russell, I. J., & Hebert, L. (1995). The prevalence and characteristics of fibromyalgia in the general population. Arthritis and Rheumatism, 38(1), 19–28.CrossRefPubMed
4.
Zurück zum Zitat Arnold, L. M., Bradley, L. A., Clauw, D. J., Glass, J. M., & Goldenberg, D. L. (2008). Evaluating and diagnosing fibromyalgia and comorbid psychiatric disorders. Journal of Clinical Psychiatry, 69(10), e28.CrossRefPubMed Arnold, L. M., Bradley, L. A., Clauw, D. J., Glass, J. M., & Goldenberg, D. L. (2008). Evaluating and diagnosing fibromyalgia and comorbid psychiatric disorders. Journal of Clinical Psychiatry, 69(10), e28.CrossRefPubMed
5.
Zurück zum Zitat Humphrey, L., Arbuckle, R., Mease, P., Williams, D. A., Samsoe, B. D., & Gilbert, C. (2010). Fatigue in fibromyalgia: a conceptual model informed by patient interviews. BMC Musculoskeletal Disorders, 11, 216.CrossRefPubMedPubMedCentral Humphrey, L., Arbuckle, R., Mease, P., Williams, D. A., Samsoe, B. D., & Gilbert, C. (2010). Fatigue in fibromyalgia: a conceptual model informed by patient interviews. BMC Musculoskeletal Disorders, 11, 216.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Lai, J. S., Cella, D., Choi, S., Junghaenel, D. U., Christodoulou, C., Gershon, R., & Stone, A. (2011). How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S20–S27.CrossRefPubMedPubMedCentral Lai, J. S., Cella, D., Choi, S., Junghaenel, D. U., Christodoulou, C., Gershon, R., & Stone, A. (2011). How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S20–S27.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.CrossRefPubMedPubMedCentral Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Amtmann, D., Cook, K. F., Jensen, M. P., Chen, W. H., Choi, S., Revicki, D., et al. (2010). Development of a PROMIS item bank to measure pain interference. Pain, 150(1), 173–182.CrossRefPubMedPubMedCentral Amtmann, D., Cook, K. F., Jensen, M. P., Chen, W. H., Choi, S., Revicki, D., et al. (2010). Development of a PROMIS item bank to measure pain interference. Pain, 150(1), 173–182.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Williams, D. A., Schilling, S., Shibata, K. N., Zwinck, L., Matallana, L., & Arnold, L. (2009). Relevance of PROMIS item banks to individuals with fibromyalgia. Arthritis and Rheumatism, 60(10), S1404. Williams, D. A., Schilling, S., Shibata, K. N., Zwinck, L., Matallana, L., & Arnold, L. (2009). Relevance of PROMIS item banks to individuals with fibromyalgia. Arthritis and Rheumatism, 60(10), S1404.
10.
Zurück zum Zitat Cook, K. F., Bamer, A. M., Roddey, T. S., Kraft, G. H., Kim, J., & Amtmann, D. (2012). A PROMIS fatigue short form for use by individuals who have multiple sclerosis. Quality of Life Research, 21(6), 1021–1030.CrossRefPubMed Cook, K. F., Bamer, A. M., Roddey, T. S., Kraft, G. H., Kim, J., & Amtmann, D. (2012). A PROMIS fatigue short form for use by individuals who have multiple sclerosis. Quality of Life Research, 21(6), 1021–1030.CrossRefPubMed
11.
Zurück zum Zitat Schilling, S. G., & Bock, R. D. (2005). High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature. Psychometrika, 70(3), 1–23. Schilling, S. G., & Bock, R. D. (2005). High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature. Psychometrika, 70(3), 1–23.
12.
Zurück zum Zitat Schilling, S. G. (2005). ORDFAC: A computer program for ordinal factor analysis. Ann Arbor: University of Michigan. Schilling, S. G. (2005). ORDFAC: A computer program for ordinal factor analysis. Ann Arbor: University of Michigan.
13.
Zurück zum Zitat Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723.CrossRef Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723.CrossRef
14.
Zurück zum Zitat Schwartz, G. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464.CrossRef Schwartz, G. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464.CrossRef
15.
Zurück zum Zitat Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 17, 1–100 . Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 17, 1–100 .
16.
Zurück zum Zitat Thissen, D., Chen, W. H., & Bock, R. D. (2003). MULTILOG7: Multiple category item analysis and test scoring using item response theory. Chicago, IL: Scientific Software International Inc. Thissen, D., Chen, W. H., & Bock, R. D. (2003). MULTILOG7: Multiple category item analysis and test scoring using item response theory. Chicago, IL: Scientific Software International Inc.
17.
Zurück zum Zitat Ihaka, R. (1988). R: Past and future history. Auckland, New Zealand: The University of Auckland. Ihaka, R. (1988). R: Past and future history. Auckland, New Zealand: The University of Auckland.
18.
Zurück zum Zitat Lai, J. S., Butt, Z., Wagner, L., Sweet, J. J., Beaumont, J. L., Vardy, J., et al. (2009). Evaluating the dimensionality of perceived cognitive function. Journal of Pain and Symptom Management, 37(6), 982–995.CrossRefPubMedPubMedCentral Lai, J. S., Butt, Z., Wagner, L., Sweet, J. J., Beaumont, J. L., Vardy, J., et al. (2009). Evaluating the dimensionality of perceived cognitive function. Journal of Pain and Symptom Management, 37(6), 982–995.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Smets, E. M., Garssen, B., Bonke, B., & De Haes, J. C. (1995). The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research, 39(3), 315–325.CrossRefPubMed Smets, E. M., Garssen, B., Bonke, B., & De Haes, J. C. (1995). The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research, 39(3), 315–325.CrossRefPubMed
20.
Zurück zum Zitat Arnold, L. M., Williams, D. A., Hudson, J. I., Martin, S. A., Clauw, D. J., & Crofford, L. J., et al. (2011). Development of responder definitions for fibromyalgia clinical trials. Arthritis and Rheumatism, 64(3), 885–894.CrossRef Arnold, L. M., Williams, D. A., Hudson, J. I., Martin, S. A., Clauw, D. J., & Crofford, L. J., et al. (2011). Development of responder definitions for fibromyalgia clinical trials. Arthritis and Rheumatism, 64(3), 885–894.CrossRef
22.
Zurück zum Zitat Magasi, S., Ryan, G., Revicki, D., Lenderking, W., Hays, R. D., Brod, M., et al. (2012). Content validity of patient-reported outcome measures: Perspectives from a PROMIS meeting. Quality of Life Research, 21(5), 739–746.CrossRefPubMed Magasi, S., Ryan, G., Revicki, D., Lenderking, W., Hays, R. D., Brod, M., et al. (2012). Content validity of patient-reported outcome measures: Perspectives from a PROMIS meeting. Quality of Life Research, 21(5), 739–746.CrossRefPubMed
23.
Zurück zum Zitat Kratz, A. L., Schilling, S. G., Goesling, J., & Williams, D. A. (2015). Development and initial validation of a brief self-report measure of cognitive dysfunction in fibromyalgia. The Journal of Pain, 16(6), 527–536.CrossRefPubMedPubMedCentral Kratz, A. L., Schilling, S. G., Goesling, J., & Williams, D. A. (2015). Development and initial validation of a brief self-report measure of cognitive dysfunction in fibromyalgia. The Journal of Pain, 16(6), 527–536.CrossRefPubMedPubMedCentral
Metadaten
Titel
The PROMIS FatigueFM Profile: a self-report measure of fatigue for use in fibromyalgia
verfasst von
Anna L. Kratz
Stephen Schilling
Jenna Goesling
David A. Williams
Publikationsdatum
28.01.2016
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 7/2016
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1230-9

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