Key result
Different multimorbidity frameworks yielded prevalence estimates ranging from 33.5% to 60.6%, with the inclusion of symptoms increasing both prevalence and associations with functional outcomes.
Why the study?
It was unclear how different frameworks and categories of chronic conditions impact multimorbidity prevalence estimates and associations with patient-important functional outcomes.
How do different frameworks and categories of chronic conditions impact multimorbidity prevalence estimates and associations with patient-important functional outcomes in community-living adults?
Population
51 338 community-living adults aged 45 to 85 years in Canada
Comparison
Three multimorbidity frameworks categorizing conditions into diseases, risk factors, or symptoms
Design
Baseline data analysis from a population-based cohort study
Authors
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Multimorbidity prevalence varies by definition; should not yet change practice and leaves open standardization research.
Cohort (n=51,338)
Yes
How do different frameworks and categories of chronic conditions impact multimorbidity prevalence estimates and associations with patient-important functional outcomes in community-living adults?
Including symptoms in multimorbidity frameworks increases both prevalence estimates and associations with patient-important functional outcomes compared to frameworks using only diseases and risk factors.
Griffith et al. (2019) conducted a cohort in Multimorbidity (n=51,338). Inclusion of symptoms and risk factors in multimorbidity frameworks vs. Frameworks including diseases only was evaluated on Prevalence of multimorbidity and odds ratios for disability, social participation restriction, and self-rated physical and mental health. Different multimorbidity frameworks yielded prevalence estimates ranging from 33.5% to 60.6%, with the inclusion of symptoms increasing both prevalence and associations with functional outcomes.
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