ArticleHealth and quality of life outcomes2019
Using the Fatigue Severity Scale to inform healthcare decision-making in multiple sclerosis: mapping to three quality-adjusted life-year measures (EQ-5D-3L, SF-6D, MSIS-8D).
Article in Health and quality of life outcomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effectiveness of non-pharmacological interventions for fatigue in adults with long-term conditions: a synopsis of the EIFFEL mixed-methods evidence synthesis.Health technology assessment (Winchester, England) · 2026Pooled it
- Mapping to estimate health state utility: a systematic review of development and limitations.Health and quality of life outcomes · 2025Pooled it
- Rehabilitation needs of long COVID patients in British Columbia.PM & R : the journal of injury, function, and rehabilitation · 2026Article
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- Obesity and Long COVID: intersecting epidemics?BMC public health · 2026Article
- Differences in Long COVID severity by duration of illness, symptom evolution, and vaccination: a longitudinal cohort study from the INSPIRE group.Lancet regional health. Americas · 2025Article
- Cost and Quality of Life of Disability Progression in Multiple Sclerosis Beyond EDSS: Impact of Cognition, Fatigue, and Limb Impairment.PharmacoEconomics - open · 2024Article
- Article
- Physical activity and influencing factors in people post stroke or transient ischemic attack across diverse regions in Sweden.Frontiers in neurology · 2024Article
- Neurological injury in primary Sjogren's syndrome.Annals of medicine and surgery (2012) · 2023Article
- Pain and Motor Function in Myotonic Dystrophy Type 1: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Evaluating fatigue in patients recovering from COVID-19: validation of the fatigue severity scale and single item screening questions.Health and quality of life outcomes · 2022Article
- Current Management of Residual Excessive Daytime Sleepiness Due to Obstructive Sleep Apnea: Insights for Optimizing Patient Outcomes.Neurology and therapy · 2021Review
- The association of selected multiple sclerosis symptoms with disability and quality of life: a large Danish self-report survey.BMC neurology · 2021Article
- Prevalence of Respiratory Disorders during Sleep among Subjects of Methadone Maintenance Therapy Program.Addiction & health · 2021Article
- Improving Health of People With Multiple Sclerosis From a Multicenter Randomized Controlled Study in Parallel Groups: Preliminary Results on the Efficacy of a Mindfulness Intervention and Intention Implementation Associated With a Physical Activity Program.Frontiers in psychology · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFatigue has a major influence on the quality of life of people with multiple sclerosis. The Fatigue Severity Scale is a frequently used patient-reported measure of fatigue impact, but does not generate the health state utility values required to inform cost-effectiveness analysis, limiting its applicability within decision-making contexts. The objective of this study was to use statistical mapping methods to convert Fatigue Severity Scale scores to health state utility values from three preference-based measures: the EQ-5D-3L, SF-6D and Multiple Sclerosis Impact Scale-8D.
methodsThe relationships between the measures were estimated through regression analysis using cohort data from 1056 people with multiple sclerosis in South West England. Estimation errors were assessed and predictive performance of the best models as tested in a separate sample (n = 352).
resultsFor the EQ-5D and the Multiple Sclerosis Impact Scale-8D, the best performing models used a censored least absolute deviation specification, with Fatigue Severity Scale total score, age and gender as predictors. For the SF-6D, the best performing model used an ordinary least squares specification, with Fatigue Severity Scale total score as the only predictor.
conclusionsHere we present algorithms to convert Fatigue Severity Scales scores to health state utility values based on three preference-based measures. These values may be used to estimate quality-adjusted life-years for use in cost-effectiveness analyses and to consider the health-related quality of life of people with multiple sclerosis, thereby informing health policy decisions.
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