Evidence map›Paper›PMID 39096424›Full record

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

The validity of single-item measures of health-related quality of life across groups differing in acute respiratory symptom severity.

Adam B Smith, John E Ware, Patricia Aluko, Anuradha Kulasekaran

Abstract readValidation 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Adam B SmithLeeds Institute for Cardiovascular & Metabolic Medicine, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-5750-7772
John E WareJohn Ware Research Group Inc, Watertown, USA.ORCID http://orcid.org/0000-0002-0744-2149
Patricia AlukoReckitt, Data Analytics and Research Insights, Slough, UK. patricia.aluko@reckitt.com.ORCID http://orcid.org/0000-0002-0743-9978
Anuradha KulasekaranReckitt, Global Medical Affairs - Respiratory, Slough, UK.ORCID http://orcid.org/0000-0002-4970-9091

Funding

Reckitt Benckiser Pharmaceuticals Reckitt Benckiser Pharmaceuticals
6 · The paper itself

Abstract

purposePractical considerations precluding health-related quality of life (HRQOL) monitoring in population and clinical research have spawned development of improved items for more brief surveys of frequently measured HRQOL outcomes. The aim of this study was to validate the use of the Quality of Life General (QGEN-8), a shorter 8-item alternative to the longer 36-item short form (SF)-36 Health Survey for measuring the same eight HRQOL domains across groups of adults with varying severity of acute respiratory symptoms, such as cough and sore throat.

methodsNational Opinion Research Center (NORC) representative probability (N = 1,648) and supplemental opt-in (N = 5,915) U.S. adult samples were surveyed cross-sectionally online in 2020. Parallel analyses compared QGEN-8 and SF-36 estimates of group means for each of eight matching profile domains and summary physical and mental scores across groups differing in severity of acute symptoms and chronic respiratory conditions using analysis of covariance (ANCOVAs) controlling for socio-demographics and presence of chronic respiratory conditions.

resultsIn support of discriminant validity, ANCOVA estimates of QGEN-8 means with SF-36 estimates revealed the same patterns of declining HRQOL with the presence and increasing severity of symptoms and chronic condition severity.

conclusionQGEN-8

Indexed as

Quality of LifeSeverity of Illness IndexAcute DiseaseAdolescentAdultAgedCoughCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesUnited StatesAcute respiratoryChronic co-morbid conditionsCoughHRQOLQGEN-8SF-36Sore throat

Identifiers

PMID39096424
PMCPMC11452483

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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.