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

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Abstract

Purpose

To critically appraise, compare and summarize the measurement properties of self-report fatigue questionnaires validated in patients with multiple sclerosis (MS), Parkinson’s disease (PD) or stroke.

Methods

MEDLINE, EMBASE, PsycINFO, CINAHL and SPORTdiscus were searched. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist was used to assess the methodological quality of studies. A qualitative data synthesis was performed to rate the measurement properties for each questionnaire.

Results

Thirty-eight studies out of 5,336 records met the inclusion criteria, evaluating 31 questionnaires. Moderate evidence was found for adequate internal consistency and structural validity of the Fatigue Scale for Motor and Cognitive functions (FSMC) and for adequate reliability and structural validity of the Unidimensional Fatigue Impact Scale (U-FIS) in MS.

Conclusions

We recommend the FSMC and U-FIS in MS. The Functional Assessment of Chronic Illness Therapy Fatigue subscale (FACIT-F) and Fatigue Severity Scale (FSS) show promise in PD, and the Profile of Mood States Fatigue subscale (POMS-F) for stroke. Future studies should focus on measurement error, responsiveness and interpretability. Studies should also put emphasis on providing input for the theoretical construct of fatigue, allowing the development of questionnaires that reflect generic and disease-specific symptoms of fatigue.

Electronic supplementary material

The online version of this article (doi:10.1007/s11136-011-0009-2) contains supplementary material, which is available to authorized users.

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Most cited references 64

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The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

C A McHorney, J E Ware, J Lu … (1994)

The widespread use of standardized health surveys is predicated on the largely untested assumption that scales constructed from those surveys will satisfy minimum psychometric requirements across diverse population groups. Data from the Medical Outcomes Study (MOS) were used to evaluate data completeness and quality, test scaling assumptions, and estimate internal-consistency reliability for the eight scales constructed from the MOS SF-36 Health Survey. Analyses were conducted among 3,445 patients and were replicated across 24 subgroups differing in sociodemographic characteristics, diagnosis, and disease severity. For each scale, item-completion rates were high across all groups (88% to 95%), but tended to be somewhat lower among the elderly, those with less than a high school education, and those in poverty. On average, surveys were complete enough to compute scales scores for more than 96% of the sample. Across patient groups, all scales passed tests for item-internal consistency (97% passed) and item-discriminant validity (92% passed). Reliability coefficients ranged from a low of 0.65 to a high of 0.94 across scales (median = 0.85) and varied somewhat across patient subgroups. Floor effects were negligible except for the two role disability scales. Noteworthy ceiling effects were observed for both role disability scales and the social functioning scale. These findings support the use of the SF-36 survey across the diverse populations studied and identify population groups in which use of standardized health status measures may or may not be problematic.

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Measuring the Functional Impact of Fatigue: Initial Validation of the Fatigue Impact Scale

Lynn Ross, David Haase, Thomas J Marrie … (1994)

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The assessment of fatigue: a practical guide for clinicians and researchers.

A J Dittner, S Wessely, R G Brown (2004)

Fatigue is a common feature of physical and neurological disease as well as psychiatric disorders, often reported amongst patients' most severe and distressing symptoms. A large number of scales have been developed attempting to measure the nature, severity and impact of fatigue in a range of clinical populations. The aim of the present review is to guide the clinician and researcher in choosing a scale to suit their needs. Database searches of Medline, PsycINFO and EMBASE were undertaken to find published scales. Details of 30 scales are reported. These vary greatly in how widely they have been used and how well they have been evaluated. The present review describes the scales and their properties and provides illustrations of their use in published studies. Recommendations are made for the selection of a scale and for the development and validation of new and existing scales.

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Author and article information

Contributors

: +31-715188299 , +31-71-5188801 , elbers.r@hsleiden.nl

Journal

Journal ID (nlm-ta): Qual Life Res

Journal ID (iso-abbrev): Qual Life Res

Title: Quality of Life Research

Publisher: Springer Netherlands (Dordrecht )

ISSN (Print): 0962-9343

ISSN (Electronic): 1573-2649

Publication date (Electronic): 20 October 2011

Publication date PMC-release: 20 October 2011

Publication date (Print): August 2012

Volume: 21

Issue: 6

Pages: 925-944

Affiliations

[1 ]Department of Physiotherapy, University of Applied Sciences Leiden, Zernikedreef 11, PO Box 382, 2300 AJ Leiden, The Netherlands

[2 ]Department of Rehabilitation Medicine, Research Institute MOVE, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands

[3 ]Department of Clinical Epidemiology and Biostatistics, The Dutch Cochrane Centre, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

[4 ]Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands

Article

Publisher ID: 9

DOI: 10.1007/s11136-011-0009-2

PMC ID: 3389599

PubMed ID: 22012025

SO-VID: 26852bc0-656f-4053-a800-c03d68644746

History

Date accepted : 2 September 2011

Custom metadata

ScienceOpen disciplines: Public health

Keywords: multiple sclerosis,cerebrovascular disorders,assessment,fatigue,parkinson disease,psychometrics

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ScienceOpen disciplines: Public health

Keywords: multiple sclerosis, cerebrovascular disorders, assessment, fatigue, parkinson disease, psychometrics

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

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Abstract

Purpose

Methods

Results

Conclusions

Electronic supplementary material

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Karger: Neurology and Neuroscience

Most cited references 64

The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

Measuring the Functional Impact of Fatigue: Initial Validation of the Fatigue Impact Scale

The assessment of fatigue: a practical guide for clinicians and researchers.

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