PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 18, 2026Journal of Multimorbidity and Comorbidity1 citationsOpen Access

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

KSKieran SweeneyDCDilek CoskunVSVolkert Siersma

Key Result

MMQ1 showed superior discriminative ability compared to EQ-5D-5L in identifying variations in quality of life in patients with multimorbidity, particularly for poorer self-rated QoL.

Key Points

  • To assess how well MMQ1 detects variations in quality of life compared to EQ-5D-5L in individuals with multimorbidity.
  • Conducted a postal survey among 2753 individuals with multimorbidity.
  • Analyzed relationships between QoL measures and independent variables using linear regression.
  • Evaluated discriminative ability with Receiver Operating Characteristic curves.
  • Received 597 responses (22% response rate).
  • Higher long-term condition counts, mental-physical multimorbidity, and deprivation linked to poorer QoL on both measures.
  • MMQ1 exhibited better discriminative ability than EQ-5D-5L, particularly in distinguishing levels of self-rated QoL.

Structured PICO

Does the MMQ1 questionnaire better detect variations in QoL and discriminate between levels of self-rated QoL compared to EQ-5D-5L in patients with multimorbidity?

P
Population
597 patients with multimorbidity, mean age 69.5 years, 48% men.
I
Intervention
Multimorbidity Questionnaire (MMQ1)
C
Comparator
EQ-5D-5L
O
Outcome
Variations in QoL according to individual characteristics and discriminative ability between different levels of self-rated QoLpatient reported

The MMQ1 is superior to the EQ-5D-5L in detecting age-related variations in QoL and discriminating between different levels of self-rated QoL in patients with multimorbidity.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sweeney et al. (2026) studied this question. MMQ1 showed superior discriminative ability compared to EQ-5D-5L in identifying variations in quality of life in patients with multimorbidity, particularly for poorer self-rated QoL.

synapsesocial.com/papers/696c776ceb60fb80d1395bebhttps://doi.org/10.1177/26335565251410275
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Summary of Needs-Based Quality of Life Instruments2004 · 13 citations
  2. 2The Inverse Care Law: Clinical Primary Care Encounters in Deprived and Affluent Areas of Scotland2007 · 372 citations
  3. 3Effectiveness of Needs-Based Quality of Life Instruments2004 · 19 citations
  4. 4Known-Groups Validity2014 · 120 citations
  5. 5Health status and quality of life in comorbid physical multimorbidity and depression among adults aged ⩾50 years from low- and middle-income countries2023 · 4 citations