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ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

Assessing health state utilities for people with myalgic encephalomyelitis/chronic fatigue syndrome in Australia using the EQ-5D-5L, AQoL-8D and EQ-5D-5L-psychosocial instruments.

Nneka C Orji, Ingrid A Cox, Leonard A Jason, Gang Chen, Ting Zhao, Melissa J Rogerson, Ryan M Kelly, Karen Wills, Martin Hensher, Andrew J Palmer and 2 more

Open access · hybridAbstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  6. Evaluating the Effects ofIranian journal of pharmaceutical research : IJPR
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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

12 authors at 4 institutions in 2 countries.

Nneka C OrjiMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Ingrid A CoxMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Leonard A JasonDePaul University Center for Community Research, Chicago, IL, USA.
Gang ChenCentre for Health Economics, Monash University, Melbourne, VIC, Australia.
Ting ZhaoMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Melissa J RogersonSchool of Computing & Information Systems, University of Melbourne, Melbourne, VIC, Australia.
Ryan M KellySchool of Computing & Information Systems, University of Melbourne, Melbourne, VIC, Australia.
Karen WillsMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Martin HensherMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Andrew J PalmerMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Barbara de Graaff *Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia. Barbara.degraaff@utas.edu.au.ORCID http://orcid.org/0000-0003-0743-9561
Julie A Campbell *Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
University of Tasmania · AUThe University of Melbourne · AUDePaul University · USMonash University · AU

Funding

National Health and Medical Research Council APP1183165
6 · The paper itself

Abstract

purposeMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic condition with a constellation of symptoms presenting as severe and profound fatigue of ≥ 6 months not relieved by rest. ME/CFS affects health-related quality of life (HRQoL), which can be measured using multi-attribute health state utility (HSU) instruments. The aims of this study were to quantify HSUs for people living with ME/CFS, and to identify an instrument that is preferentially sensitive for ME/CFS.

methodsCross-sectional national survey of people with ME/CFS using the AQoL-8D and EQ-5D-5L. Additional questions from the AQoL-8D were used as 'bolt-ons' to the EQ-5D-5L (i.e., EQ-5D-5L-Psychosocial). Disability and fatigue severity were assessed using the De Paul Symptom Questionnaire-Short Form (DSQ-SF). HSUs were generated using Australian tariffs. Mean HSUs were stratified for sociodemographic and clinical factors. Bland-Altman plots were used to compare the three HSU instruments.

resultsFor the 198 participants, mean HSUs (95% confidence intervals) were EQ-5D-5L: 0.46 (0.42-0.50); AQoL-8D: 0.43 (0.41-0.45); EQ-5D-5L-Psychosocial: 0.44 (0.42-0.46). HSUs were substantially lower than population norms: EQ-5D-5L: 0.89; AQoL-8D: 0.77. As disability and fatigue severity increased, HSUs decreased in all three instruments. Bland-Altman plots revealed interchangeability between the AQoL-8D and EQ-5D-5LPsychosocial. Floor and ceiling effects of 13.5% and 2.5% respectively were observed for the EQ-5D-5L instrument only.

conclusionsME/CFS has a profound impact on HRQoL. The AQoL-8D and EQ-5D-5L-Psychosocial can be used interchangeably: the latter represents a reduced participant burden.

Indexed as

Fatigue Syndrome, ChronicQuality of LifeAustraliaCross-Sectional StudiesHumansSurveys and QuestionnairesCFSHealth-related quality of lifeHealth state utilityMEPsychosocial healthQuality of life

Identifiers

PMID37561337
PMCPMC10784392
OpenAlexW4385716571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.