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Income inequalities in multimorbidity prevalence in Ontario, Canada: a decomposition analysis of linked survey and health administrative data

Overview of attention for article published in International Journal for Equity in Health, June 2018
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Title
Income inequalities in multimorbidity prevalence in Ontario, Canada: a decomposition analysis of linked survey and health administrative data
Published in
International Journal for Equity in Health, June 2018
DOI 10.1186/s12939-018-0800-6
Pubmed ID
Authors

Luke Mondor, Deborah Cohen, Anum Irfan Khan, Walter P. Wodchis

Abstract

The burden of multimorbidity is a growing clinical and health system problem that is known to be associated with socioeconomic status, yet our understanding of the underlying determinants of inequalities in multimorbidity and longitudinal trends in measured disparities remains limited. We included all adult respondents from four cycles of the Canadian Community Health Survey (CCHS) (between 2005 to 2011/12), linked at the individual-level to health administrative data in Ontario, Canada (pooled n = 113,627). Multimorbidity was defined at each survey response as having ≥2 (of 17) high impact chronic conditions, based on claims data. Using a decomposition method of the Erreygers-corrected concentration index (CErreygers), we measured household income inequality and the contribution of the key determinants of multimorbidity (including socio-demographic, socio-economic, lifestyle and health system factors) to these disparities. Differences over time are described. We tested for statistically significant changes to measured inequality using the slope index (SII) and relative index of inequality (RII) with a 2-way interaction on pooled data. Multimorbidity prevalence in 2011/12 was 33.5% and the CErreygers was - 0.085 (CI: -0.108 to - 0.062), indicating a greater prevalence among lower income groups. In decomposition analyses, income itself accounted more than two-thirds (69%) of this inequality. Age (21.7%), marital status (15.2%) and physical inactivity (10.9%) followed, and the contribution of these factors increased from baseline (2005 CCHS survey) with the exception of age. Other lifestyle factors, including heavy smoking and obesity, had minimal contribution to measured inequality (1.8 and 0.4% respectively). Tests for trends (SII/RII) across pooled survey data were not statistically significant (p = 0.443 and 0.405, respectively), indicating no change in inequalities in multimorbidity prevalence over the study period. A pro-rich income gap in multimorbidity has persisted in Ontario from 2005 to 2011/12. These empirical findings suggest that to advance equality in multimorbidity prevalence, policymakers should target chronic disease prevention and control strategies focused on older adults, non-married persons and those that are physically inactive, in addition to addressing income disparities directly.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 16%
Student > Ph. D. Student 32 14%
Researcher 26 11%
Student > Bachelor 13 6%
Student > Postgraduate 10 4%
Other 38 16%
Unknown 77 33%
Readers by discipline Count As %
Medicine and Dentistry 47 20%
Nursing and Health Professions 23 10%
Social Sciences 17 7%
Psychology 14 6%
Economics, Econometrics and Finance 8 3%
Other 28 12%
Unknown 96 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2020.
All research outputs
#13,219,151
of 22,837,982 outputs
Outputs from International Journal for Equity in Health
#1,315
of 1,906 outputs
Outputs of similar age
#164,138
of 328,236 outputs
Outputs of similar age from International Journal for Equity in Health
#41
of 50 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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