Skip to main content
Top
Published in: Quality of Life Research 7/2016

28-01-2016

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

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

Published in: Quality of Life Research | Issue 7/2016

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
1.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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
Metadata
Title
The PROMIS FatigueFM Profile: a self-report measure of fatigue for use in fibromyalgia
Authors
Anna L. Kratz
Stephen Schilling
Jenna Goesling
David A. Williams
Publication date
28-01-2016
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 7/2016
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1230-9

Other articles of this Issue 7/2016

Quality of Life Research 7/2016 Go to the issue