Comorbidity patterns in patients with chronic diseases in general practice

Published: February 16, 2012
Category: Bibliography > Papers
Authors: Alberquilla A, Carmona M, Garcia-Lopez F, Garcia-Olmos L, Garcia-Sagredo P, Lora D, Monteagudo JL, Munoz A, Pascual M, Salvador CH
Countries: Spain
Language: null
Types: Population Health
Settings: Hospital

PLoS One 7:e32141.

Multiprofessional Education Unit for Family and Community Care (Southwest), Madrid, Spain

INTRODUCTION: Healthcare management is oriented toward single diseases, yet multimorbidity is nevertheless the rule and there is a tendency for certain diseases to occur in clusters. This study sought to identify comorbidity patterns in patients with chronic diseases, by reference to number of comorbidities, age and sex, in a population receiving medical care from 129 general practitioners in Spain, in 2007.

METHODS: A cross-sectional study was conducted in a health-area setting of the Madrid Autonomous Region (Comunidad Autónoma), covering a population of 198,670 individuals aged over 14 years. Multiple correspondences were analyzed to identify the clustering patterns of the conditions targeted.

RESULTS: Forty-two percent (95% confidence interval [CI]: 41.8-42.2) of the registered population had at least one chronic condition. In all, 24.5% (95% CI: 24.3-24.6) of the population presented with multimorbidity. In the correspondence analysis, 98.3% of the total information was accounted for by three dimensions. The following four, age- and sex-related comorbidity patterns were identified: pattern B, showing a high comorbidity rate; pattern C, showing a low comorbidity rate; and two patterns, A and D, showing intermediate comorbidity rates.

CONCLUSIONS: Four comorbidity patterns could be identified which grouped diseases as follows: one showing diseases with a high comorbidity burden; one showing diseases with a low comorbidity burden; and two showing diseases with an intermediate comorbidity burden.

PMID: 22359665
PMCID: PMC3281110

Co-morbidity,High-Impact Chronic Conditions,Overall Disease Burden,Population Markers,Adult,Age Factors,80 and over,Cluster Analysis,Cross-Sectional Studies,Disease Management,Gender,Incidence,Sex Factors,Spain epidemiology

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