ArticleHealth and quality of life outcomes2022
Improving multimorbidity measurement using individualized disease-specific quality of life impact assessments: predictive validity of a new comorbidity index.
Article in Health and quality of life outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How to assess multimorbidity: a systematic review.Frontiers in public health · 2025Pooled it
- Rising to the challenges of research in multiple long-term conditions: health and social care research ecosystem approaches.BMJ open · 2025Review
- The QDIS-7: using one scale to measure the disease-specific quality-of-life impact of different medical conditions.Scientific reports · 2025Article
- How to Assess Health Gains.Healthcare (Basel, Switzerland) · 2025Article
- Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundInterpretation of health-related quality of life (QOL) outcomes requires improved methods to control for the effects of multiple chronic conditions (MCC). This study systematically compared legacy and improved method effects of aggregating MCC on the accuracy of predictions of QOL outcomes.
methodsOnline surveys administered generic physical (PCS) and mental (MCS) QOL outcome measures, the Charlson Comorbidity Index (CCI), an expanded chronic condition checklist (CCC), and individualized QOL Disease-specific Impact Scale (QDIS) ratings in a developmental sample (N = 5490) of US adults. Controlling for sociodemographic variables, regression models compared 12- and 35-condition checklists, mortality vs. population QOL-weighting, and population vs. individualized QOL weighting methods. Analyses were cross-validated in an independent sample (N = 1220) representing the adult general population. Models compared estimates of variance explained (adjusted R
resultsIn comparison with sociodemographic-only regression models (MCS R
conclusionsPhysical and mental outcomes were more accurately predicted using an expanded MCC checklist, population QOL rather than mortality CCI weighting, and individualized rather than population QOL weighting for each reported condition. The 3-min combination of CCC and QDIS ratings (QDIS-MCC) warrant further testing for purposes of predicting and interpreting QOL outcomes affected by MCC.
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Registered trials
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