Evidence map›Paper›PMID 41550914›Full record

ArticleJournal of multimorbidity and comorbidity

Variations in quality of life in people with multimorbidity: A cross-sectional survey comparing MMQ1 and EQ-5D-5L.

Kieran D Sweeney, Dilek Coskun, Volkert Siersma, Lucy E Stirland, Bruce Guthrie, Stewart W Mercer, John B Brodersen

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Kieran D SweeneyCollege of Medicine and Veterinary Medicine, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0805-7138
Dilek CoskunCentre of General Practice, Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Volkert SiersmaCentre of General Practice, Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-1941-2681
Lucy E StirlandDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-5678-4583
Bruce GuthrieCollege of Medicine and Veterinary Medicine, Usher Institute, University of Edinburgh, Edinburgh, UK.
Stewart W MercerCollege of Medicine and Veterinary Medicine, Usher Institute, University of Edinburgh, Edinburgh, UK.
John B BrodersenCentre of Cancer and Organ Diseases, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-9369-3376

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: The Multimorbidity Questionnaire (MMQ1) is a patient-reported outcome measure assessing quality of life (QoL) in people with multimorbidity. An English-language version was recently validated for use in the United Kingdom. This study examines: (1) Whether MMQ1 detects expected variations in QoL according to individual characteristics; (2) How MMQ1 compares with EQ-5D-5L in detecting such variations, and in discriminating between different levels of QoL. Methods: A postal survey was distributed to 2753 patients with multimorbidity. Relationships between MMQ1 and EQ-5D-5L with six independent variables (long-term condition count, mental-physical multimorbidity, deprivation, self-rated QoL, age and sex) were examined using linear regression analyses. Discriminative ability was assessed using Receiver Operating Characteristic curves and sample size calculations with respect to consecutive classes of self-rated QoL. Results: 597 responses were received (22%). Respondents had a mean age of 69.5 years and 48% were men. Higher long-term condition count, the presence of mental-physical multimorbidity and increasing deprivation were associated with poorer QoL on both measures. In addition, three MMQ1 domains demonstrated age-related variations in QoL that were not detected using EQ-5D-5L. MMQ1 exhibited superior discriminative ability to EQ-5D-5L, especially in distinguishing between individuals with 'Poor' vs 'Very Poor' self-rated QoL, where EQ-5D-5L was particularly weak. Conclusion: MMQ1 detected expected variations in QoL according to individual characteristics, supporting known-groups validity. It was superior to EQ-5D-5L in its ability to detect age-related variations in QoL and to discriminate between different levels of self-rated QoL. MMQ1 has the potential to improve the measurement of QoL in people with multimorbidity.

Indexed as

multimorbiditymultiple long-term conditionspatient reported outcome measuresquality of life

Identifiers

PMID41550914
PMCPMC12811566

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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.