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Comorbidity patterns in patients with chronic diseases in general practice
Luis García-Olmos1, Carlos H Salvador, Ángel Alberquilla
1Multiprofessional Education Unit for Family and Community Care (Southwest), Madrid, Spain. lgarcia.gapm02@salud.madrid.org
Plos One
|February 24, 2012
Summary
This study identified four distinct patterns of chronic disease comorbidity in a Spanish population, categorized by high, low, and intermediate disease burdens. These findings highlight age and sex influences on disease clustering in multimorbidity.
Area of Science:
- Epidemiology
- Public Health
- Clinical Medicine
Background:
- Healthcare systems often focus on single diseases, despite multimorbidity being common.
- Chronic diseases frequently cluster, necessitating an understanding of comorbidity patterns.
- Identifying these patterns is crucial for effective healthcare management.
Purpose of the Study:
- To identify comorbidity patterns in patients with chronic diseases.
- To analyze these patterns based on the number of comorbidities, age, and sex.
- To investigate disease clustering in a general practitioner population in Spain.
Main Methods:
- A cross-sectional study was conducted in the Madrid Autonomous Region.
- The study population comprised 198,670 individuals aged over 14 years.
- Multiple correspondence analysis was used to identify condition clustering.
Main Results:
- 42% of the population had at least one chronic condition; 24.5% had multimorbidity.
- Correspondence analysis revealed three dimensions accounting for 98.3% of the information.
- Four age- and sex-related comorbidity patterns were identified: one high, one low, and two intermediate comorbidity rates.
Conclusions:
- Four distinct comorbidity patterns were identified.
- These patterns represent high, low, and intermediate disease burdens.
- Understanding these patterns can inform healthcare strategies for multimorbid patients.
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