Ontology highlight
ABSTRACT: Objectives
To determine volumes and rates of multimorbidity in Ontario by age group, sex, material deprivation, and geography.Methods
A cross-sectional population-based study was completed using linked provincial health administrative databases. Ontario residents were classified as having multimorbidity (3+ chronic conditions) or not, based on the presence of 17 chronic conditions. The volumes (number of residents) of multimorbidity were determined by age categories in addition to crude and age-sex standardized rates.Results
Among the 2013 Ontario population, 15.2% had multimorbidity. Multimorbidity rates increased across successively older age groups with lowest rates observed in youngest (0-17 years, 0.2%) and highest rates in the oldest (80+ years, 73.5%). The ra
SUBMITTER: Ryan BL
PROVIDER: S-EPMC6964436 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature