Evidence map›Paper›PMID 33653349›Full record

ArticleHealth and quality of life outcomes2021

Validation of a three-item Fatigue Severity Scale for patients with substance use disorder: a cohort study from Norway for the period 2016-2020.

Jørn Henrik Vold, Rolf Gjestad, Christer F Aas, Eivind Meland, Kjell Arne Johansson, Lars Thore Fadnes, INTRO-HCV Study Group

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jørn Henrik VoldDepartment of Addiction Medicine, Haukeland University Hospital, Bergen, Norway. jorn.vold@uib.no.ORCID http://orcid.org/0000-0001-8701-7638
Rolf GjestadDivision of Psychiatry, Research Department, Haukeland University Hospital, Bergen, Norway.
Christer F AasDepartment of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.
Eivind MelandDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Kjell Arne JohanssonDepartment of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.
Lars Thore FadnesDepartment of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.
INTRO-HCV Study Group

Funding

Norges Forskningsråd 269855Norges Forskningsråd (NO) 269855
6 · The paper itself

Abstract

backgroundLittle attention has been paid to customising fatigue questionnaires for patients with Substance Use Disorders (SUDs). The present study aims to validate and shorten the nine-item Fatigue Severity Scale (FSS-9) and Visual Analogue Fatigue Scale (VAFS) for use with this population.

methodsWe used data from a nested cohort with annual health assessments with responses on the FSS-9 and VAFS. During the period 2016-2020, 917 health assessments were collected from 655 patients with SUD in Bergen and Stavanger, Norway. A total of 225 patients answered the health assessment at least twice. We defined baseline as the first annual health assessment when the health assessments were sorted chronologically per patient. We checked for internal consistency, and we used longitudinal confirmatory factor analysis (CFA) and linear mixed model (LMM) analysis to validate and shorten the FSS-9 and VAFS.

resultsThe internal consistency of the FSS-9 was excellent with a Cronbach's α of 0.94 at baseline and 0.93 at the second annual health assessment. When shortening the FSS-9 to a three-item FSS (FSS-3, items 5-7), the Cronbach's α was 0.87 at baseline and 0.84 at the second health assessment. The internal consistency was not affected when the VAFS was added to the FSS-3 and the FSS-9. The longitudinal CFA model showed a well-fitting model for the FSS-3 (χ

conclusionThe FSS-9 could be shortened to the FSS-3 with high validity and reliability for patients with SUDs and the addition of VAFS did not provide much added variability.

Indexed as

Quality of LifeAdultCohort StudiesFactor Analysis, StatisticalFatigueFemaleHumansMaleMiddle AgedNorwayReproducibility of ResultsSeverity of Illness IndexSubstance-Related DisordersSurveys and QuestionnairesActivities of daily livingFatigueFatigue Severity ScaleQuality of lifeSubstance-related disordersValidationVisual Analogue Fatigue Scale

Identifiers

PMID33653349
PMCPMC7923309

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.