Evidence map›Paper›PMID 38913275›Full record

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

An empirical comparison of sleep-specific versus generic quality of life instruments among Australians with sleep disorders.

Taylor-Jade Woods, Billingsley Kaambwa

Abstract readComparative Study
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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Taylor-Jade WoodsHealth Economics Unit, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia. taylorjade.woods@flinders.edu.au.ORCID http://orcid.org/0000-0002-0545-0401
Billingsley KaambwaHealth Economics Unit, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.ORCID http://orcid.org/0000-0002-2128-3404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn Australian adults diagnosed with a sleep disorder(s), this cross-sectional study compares the empirical relationships between two generic QoL instruments, the EuroQoL 5-dimension 5-level (EQ-5D-5L) and ICEpop CAPability measure for Adults (ICECAP-A), and three sleep-specific metrics, the Epworth Sleepiness Scale (ESS), 10-item Functional Outcomes of Sleep Questionnaire (FOSQ-10), and Pittsburgh Sleep Quality Index (PSQI).

methodsConvergent and divergent validity between item/dimension scores was examined using Kendall's Tau-B correlation, with correlations below 0.30 considered weak, between 0.30 and 0.50 moderate and those above 0.50 strong (indicating that instruments were measuring similar constructs). Exploratory factor analysis (EFA) was conducted to identify shared underlying constructs.

resultsA total of 1509 participants (aged 18-86 years) were included in the analysis. Convergent validity between dimensions/items of different instruments was weak to moderate. A 5-factor EFA solution, representing 'daytime dysfunction', 'fatigue', 'wellbeing', 'physical health', and 'perceived sleep quality', was simplest with close fit and fewest cross-loadings. Each instrument's dimensions/items primarily loaded onto their own factor, except for the EQ-5D-5L and PSQI. Nearly two-thirds of salient loadings were of excellent magnitude (0.72 to 0.91).

conclusionModerate overlap between the constructs assessed by generic and sleep-specific instruments indicates that neither can fully capture the complexity of QoL alone in general disordered sleep populations. Therefore, both are required within economic evaluations. A combination of the EQ-5D-5L and, depending on context, ESS or PSQI offers the broadest measurement of QoL in evaluating sleep health interventions.

Indexed as

PsychometricsQuality of LifeSleep Wake DisordersAdolescentAdultAgedAged, 80 and overAustralasian PeopleAustraliaCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsEconomic evaluationPreference-based instrumentsQuality of lifeSleep disorderSleep health

Identifiers

PMID38913275
PMCPMC11286652

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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.