Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften Toetsvragen Web-tv Video Audio
Tips voor Mijn BSL
Inloggen

Welkom bij Scalda & Bohn Stafleu van Loghum

Scalda heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen.Je kunt de producten hieronder links aanschaffen en rechts inloggen.

» Andere revante producten voor Scalda studenten en medewerkers.

Registreer

Schaf de BSL Academy aan: 

BSL Academy mbo AG

Eenmaal aangeschaft kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL.

Heb je een vraag, neem dan contact op met Jan van der Velden.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Inloggen
Top
Quality of Life Research
Gepubliceerd in:

01-08-2012 | Original Paper

A PROMIS fatigue short form for use by individuals who have multiple sclerosis

Auteurs: Karon F. Cook, Alyssa M. Bamer, Toni S. Roddey, George H. Kraft, Jiseon Kim, Dagmar Amtmann

Gepubliceerd in: Quality of Life Research | Uitgave 6/2012

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

To derive from the Patient Reported Outcomes Measurement Information System (PROMIS) fatigue item bank, a short form for individuals with multiple sclerosis (MS), the PROMIS-FatigueMS.

Methods

A panel of 37 clinicians and 46 individuals with MS ranked the relevance of PROMIS fatigue items to persons with MS. Eight items were selected for the PROMIS-FatigueMS that maximized relevance rankings, content coverage, and item discrimination. The PROMIS-FatigueMS and an existing, 7-item PROMIS fatigue short form (PROMIS-FatigueSFv1.0) were administered to a new sample of 231 individuals with MS. Known groups and content validity were assessed.

Results

Scores from the short forms were highly correlated (r = 0.92). Discriminant validity of the PROMIS-FatigueMS scores was supported in known groups comparisons. Scores of neither short form exhibited an advantage in quantitative analyses. The PROMIS-FatigueMS targeted more of the content included in participants’ responses to open-ended questions than did the PROMIS-FatigueSFv1.0.

Conclusions

The PROMIS-FatigueMS was derived to have content validity in MS samples. The validity of the measure was further supported by the ability of PROMIS-FatigueMS items to discriminate among groups expected to differ in levels of fatigue. We recommend its use in measuring the fatigue of individuals with MS.
vorige artikel Choice of recall period for patient-reported outcome (PRO) measures: criteria for consideration
volgende artikel Development and psychometric evaluation of the public health surveillance well-being scale
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
2.
Chwastiak, L. A., Gibbons, L. E., Ehde, D. M., Sullivan, M., Bowen, J. D., Bombardier, C. H., et al. (2005). Fatigue and psychiatric illness in a large community sample of persons with multiple sclerosis. Journal of Psychosomatic Research, 59(5), 291–298.PubMedCrossRef
3.
Kraft, G. H., Freal, J. E., & Coryell, J. K. (1986). Disability, disease duration, and rehabilitation service needs in multiple sclerosis: Patient perspectives. Archives of Physical Medicine and Rehabilitation, 67(3), 164–168.PubMedCrossRef
4.
Amato, M. P., Ponziani, G., Rossi, F., Liedl, C. L., Stefanile, C., & Rossi, L. (2001). Quality of life in multiple sclerosis: The impact of depression, fatigue and disability. Multiple Sclerosis, 7(5), 340–344.PubMed
5.
Johnson, S. L. (2008). The concept of fatigue in multiple sclerosis. The Journal of Neuroscience Nursing, 40(2), 72–77.PubMedCrossRef
6.
Fisk, J. D., Pontefract, A., Ritvo, P. G., Archibald, C. J., & Murray, T. J. (1994). The impact of fatigue on patients with multiple sclerosis. Canadian Journal of Neurological Sciences, 21(1), 9–14.PubMed
7.
O’Connor, A. B., Schwid, S. R., Herrmann, D. N., Markman, J. D., & Dworkin, R. H. (2008). Pain associated with multiple sclerosis: Systematic review and proposed classification. Pain, 137(1), 96–111.PubMedCrossRef
8.
Pompeii, L. A., Moon, S. D., & McCrory, D. C. (2005). Measures of physical and cognitive function and work status among individuals with multiple sclerosis: A review of the literature. Journal of Occupational Rehabilitation, 15(1), 69–84.PubMedCrossRef
9.
Hubsky, E. P., & Sears, J. H. (1992). Fatigue in multiple sclerosis: Guidelines for nursing care. Rehabilitation Nursing, 17(4), 176–180.PubMed
10.
Cook, K. F., O’Malley, K. J., & Roddey, T. S. (2005). Dynamic assessment of health outcomes: Time to let the cat out of the bag? Health Services Research, 40(5 Pt 2), 1694–1711.PubMedCrossRef
11.
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(5 Suppl 1), S3–S11.PubMedCrossRef
12.
Rothrock, N., Hays, R. D., Spritzer, K., Yount, S. E., Riley, W., & Cella, D. (2010). Relative to the general us population, chronic diseases are associated with poorer health-related quality of life as measured by the patient-reported outcomes measurement information system (PROMIS). Journal of Clinical Epidemiology, 63(11), 1195–1204.PubMedCrossRef
13.
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(9), 1311–1321.PubMedCrossRef
14.
Lai, J.-S., Cella, D., Choi, S., Junghaenel, D. U., Christodoulou, C., Gershon, R., et al. (in press). How item banks and their applications can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine and Rehabilitation.
15.
16.
Yellen, S. B., Cella, D. F., Webster, K., Blendowski, C., & Kaplan, E. (1997). Measuring fatigue and other anemia-related symptoms with the functional assessment of cancer therapy (FACT) measurement system. Journal of Pain and Symptom Management, 13(2), 63–74.PubMedCrossRef
17.
Amtmann, D., Cook, K. F., Johnson, K. L., Cella, D. (in press). The PROMIS initiative: Examples of applications in rehabilitation. Archives of Physical and Medical Rehabilitation.
18.
Bamer, A. M., Johnson, K. L., Amtmann, D. A., & Kraft, G. H. (2010). Beyond fatigue: Assessing variables associated with sleep problems and use of sleep medications in multiple sclerosis. Clinical Epidemiology, 2010(2), 99–106.PubMedCrossRef
19.
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
20.
Bowen, J., Gibbons, L., Gianas, A., & Kraft, G. H. (2001). Self-administered expanded disability status scale with functional system scores correlates well with a physician-administered test. Multiple Sclerosis, 7(3), 201–206.PubMed
21.
Ware, J. E., Kosinski, M., Dewey, J. E., & Gandek, B. (2001). A manual for users of the sf-8 health survey. Lincoln, RI: Quality Metric Incorporated.
22.
Flora, D. B., Thissen, D. (2002). User’s guide for IRTScore: Item response theory score approximation Software. Electronic Research Memorandum #2002-1. Chapel Hill, NC: University of North Carolina, L.L. Thurstone Psychometric Laboratory.
23.
Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310.PubMedCrossRef
24.
Given, B., Given, C. W., Sikorskii, A., Jeon, S., McCorkle, R., Champion, V., et al. (2008). Establishing mild, moderate, and severe scores for cancer-related symptoms: How consistent and clinically meaningful are interference-based severity cut-points? Journal of Pain and Symptom Management, 35(2), 126–135.PubMedCrossRef
25.
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.PubMedCrossRef
Metagegevens
Titel
A PROMIS fatigue short form for use by individuals who have multiple sclerosis
Auteurs
Karon F. Cook
Alyssa M. Bamer
Toni S. Roddey
George H. Kraft
Jiseon Kim
Dagmar Amtmann
Publicatiedatum
01-08-2012
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 6/2012
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-011-0011-8

Andere artikelen Uitgave 6/2012

Development and psychometric evaluation of the public health surveillance well-being scale

The associations among coping, nadir CD4+ T-cell count, and non-HIV-related variables with health-related quality of life among an ambulatory HIV-positive patient population

Quality of life of patients in renal replacement therapy in Brazil: comparison of treatment modalities

Factors associated with subjective quality of life in Korean patients with depressive disorders: the CRESCEND study

Self-report fatigue questionnaires in multiple sclerosis, Parkinson’s disease and stroke: a systematic review of measurement properties

  • Open Access
  • Review

Construction and international validation of CIVIQ-14 (a short form of CIVIQ-20), a new questionnaire with a stable factorial structure