Skip to main content

Advertisement

Log in

Measuring fatigue in persons with multiple sclerosis: creating a crosswalk between the Modified Fatigue Impact Scale and the PROMIS Fatigue Short Form

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

To create cross-walk tables to associate scores for the Modified Fatigue Impact Scale (MFIS) with scores for the Patient Reported Outcome Measurement Information System (PROMIS) Fatigue Short Form (SF) in persons with Multiple Sclerosis (MS).

Methods

Cross-walk tables were created using equipercentile linking and based on data collected at one time point in a longitudinal study of persons with MS (N = 458). Validation of the tables was conducted using data collected at a subsequent time point (N = 444). Deviations between estimates and actual scores were compared across levels of fatigue. The impact of sample size on the precision of sample mean estimates was evaluated using bootstrapping.

Results

Correlations between deviations and fatigue level for the PROMIS Fatigue SF and MFIS were (−0.31) and (−0.30), respectively, indicating moderately greater deviations with lower fatigue scores. Estimated sample means were impacted by sample size.

Conclusions

Cross-walk tables allow data from studies using different measures of fatigue to be combined to achieve larger sample sizes and to compare results. These tables are valid for group-level analyses with sample sizes of 150 or greater.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. World Health Organization, & Multiple Sclerosis International Federation. (2008). Atlas multiple sclerosis resources in the world 2008. Geneva, Switzerland: World Health Organization.

    Google Scholar 

  2. Branas, P., Jordan, R., Fry-Smith, A., Burls, A., & Hyde, C. (2000). Treatments for fatigue in multiple sclerosis: A rapid and systematic review. Health Technology Assessment, 4, 1–61.

    PubMed  CAS  Google Scholar 

  3. Multiple Sclerosis Council for Clinical Practice Guidelines. (1998). Fatigue and multiple sclerosis: Evidence-based management strategies for fatigue in multiple sclerosis. Washington, DC: Paralyzed Veterans of America.

    Google Scholar 

  4. 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, 1179–1194.

    Article  PubMed  Google Scholar 

  5. Patient Reported Outcomes Measurement Information System (PROMIS). PROMIS. http://www.nihpromis.org. Accessed 20 May 2011.

  6. Holland, P.W. (2007). Chapter 2. A framework and history for score linking. In N.J. Dorans, M. Pommerich, & P. W. Holland (Eds.), In Linking and Aligning Scores and Scales (pp. 5–30) Springer, New York.

  7. Dorans, N. J. (2007). Linking scores from multiple health outcome instruments. Quality of Life Research, 16, 85–94.

    Article  PubMed  Google Scholar 

  8. Bamer, A. M., Cetin, K., Amtmann, D., Bowen, J. D., & Johnson, K. L. (2007). Comparing a self report questionnaire with physician assessment for determining multiple sclerosis clinical disease course: a validation study. Multiple Sclerosis, 13, 1033–1037.

    Article  PubMed  CAS  Google Scholar 

  9. Fisk, J. D., Ritvo, P. G., Ross, L., Haase, D. A., Marrie, T. J., & Schlech, W. F. (1994). Measuring the functional impact of fatigue: Initial validation of the Fatigue Impact Scale. Clinical Infectious Diseases, 18, S79–S83.

    Article  PubMed  Google Scholar 

  10. Fisk, J. D., Pontefract, A., Ritvo, P. G., Archibald, C. J., & Murray, T. J. (1994). The impact of fatigue on patients with multiple sclerosis. The Canadian Journal of Neurological Sciences, 21, 9–14.

    PubMed  CAS  Google Scholar 

  11. Kos, D., Kerckhofs, E., Carrea, I., Verza, R., Ramos, M., & Jansa, J. (2005). Evaluation of the Modified Fatigue Impact Scale in four different European countries. Multiple Sclerosis, 11, 76–80.

    Article  PubMed  CAS  Google Scholar 

  12. Flachenecker, P., Kumpfel, T., Kallmann, B., Gottschalk, M., Grauer, O., Rieckmann, P., et al. (2002). Fatigue in multiple sclerosis: A comparison of different rating scales and correlation to clinical parameters. Multiple Sclerosis, 8, 523–526.

    Article  PubMed  CAS  Google Scholar 

  13. Tellez, N., Rio, J., Tintore, M., Nos, C., Galan, I., & Montalban, X. (2005). Does the Modified Fatigue Impact Scale offer a more comprehensive assessment of fatigue in MS? Multiple Sclerosis, 11, 198–202.

    Article  PubMed  CAS  Google Scholar 

  14. Riley, W. T., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., Hahn, E. A., et al. (2010). Patient-Reported Outcomes Measurement Information System (PROMIS) domain names and definitions revisions: Further evaluation of content validity in IRT-derived item banks. Quality of Life Research, 19, 1311–1321.

    Article  PubMed  Google Scholar 

  15. Christodoulou, C., Junghaenel, D. U., DeWalt, D. A., Rothrock, N., & Stone, A. A. (2008). Cognitive interviewing in the evaluation of fatigue items: Results from the Patient-Reported Outcomes Measurement Information System (PROMIS). Quality of Life Research, 17, 1239–1246.

    Article  PubMed  Google Scholar 

  16. Lai, J. S., Cella, D., Choi, S., Junghaenel, D. U., 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, S20–S27.

    Google Scholar 

  17. Fong, T. G., Fearing, M. A., Jones, R. N., Shi, P., Marcantonio, E. R., Rudolph, J. L., et al. (2009). Telephone interview for cognitive status: Creating a crosswalk with the Mini-Mental State Examination. Alzheimer’s & Dementia, 5, 492–497.

    Article  Google Scholar 

  18. Leucht, S., Kane, J. M., Etschel, E., Kissling, W., Hamann, J., & Engel, R. R. (2006). Linking the PANSS, BPRS, and CGI: Clinical implications. Neuropsychopharmacology, 31, 2318–2325.

    Article  PubMed  Google Scholar 

  19. Holzner, B., Bode, R. K., Hahn, E. A., Cella, D., Kopp, M., Sperner-Unterweger, B., et al. (2006). Equating EORTC QLQ-C30 and FACT-G scores and its use in oncological research. European Journal of Cancer, 42, 3169–3177.

    Article  PubMed  CAS  Google Scholar 

  20. Dorans, N. J. (2004). Equating, concordance, and expectation. Applied Psychological Measurement, 28, 227–246.

    Article  Google Scholar 

  21. Kolen, M. J. (2004). Linking assessments: Concept and history. Applied Psychological Measurement, 28, 219–226.

    Article  Google Scholar 

  22. Muthén, L. K., & Muthén, B. O. (2009). Mplus: statistical software version 5.21. Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  23. Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45, S22–S31.

    Article  PubMed  Google Scholar 

  24. Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctor of Philosophy in Education. Los Angeles: University of California.

    Google Scholar 

Download references

Acknowledgments

The contents of this manuscript were developed under grants from the Department of Education, National Institute on Disability and Rehabilitation Research grant numbers H133B031129 and H133B080025, and the National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Health (Grant 5U01AR052171). However, these contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vanessa K. Noonan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Noonan, V.K., Cook, K.F., Bamer, A.M. et al. Measuring fatigue in persons with multiple sclerosis: creating a crosswalk between the Modified Fatigue Impact Scale and the PROMIS Fatigue Short Form. Qual Life Res 21, 1123–1133 (2012). https://doi.org/10.1007/s11136-011-0040-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-011-0040-3

Keywords

Navigation