Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis

Quintí Foguet-Boreu, Concepción Violán, Teresa Rodriguez-Blanco, Albert Roso-Llorach, Mariona Pons-Vigués, Enriqueta Pujol-Ribera, Yolima Cossio Gil and Jose M Valderas

PLOS ONE, 2015, vol. 10, issue 11, 1-14

Abstract: Objective: The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care. Design: Cross-sectional study. Setting: 251 primary care centres in Catalonia, Spain. Participants: Individuals older than 64 years registered with participating practices. Main outcome measures: Multimorbidity, defined as the coexistence of 2 or more ICD-10 disease categories in the electronic health record. Using hierarchical cluster analysis, multimorbidity clusters were identified by sex and age group (65–79 and ≥80 years). Results: 322,328 patients with multimorbidity were included in the analysis (mean age, 75.4 years [Standard deviation, SD: 7.4], 57.4% women; mean of 7.9 diagnoses [SD: 3.9]). For both men and women, the first cluster in both age groups included the same two diagnoses: Hypertensive diseases and Metabolic disorders. The second cluster contained three diagnoses of the musculoskeletal system in the 65- to 79-year-old group, and five diseases coincided in the ≥80 age group: varicose veins of the lower limbs, senile cataract, dorsalgia, functional intestinal disorders and shoulder lesions. The greatest overlap (54.5%) between the three most common diagnoses was observed in women aged 65–79 years. Conclusion: This cluster analysis of elderly primary care patients with multimorbidity, revealed a single cluster of circulatory-metabolic diseases that were the most prevalent in both age groups and sex, and a cluster of second-most prevalent diagnoses that included musculoskeletal diseases. Clusters unknown to date have been identified. The clusters identified should be considered when developing clinical guidance for this population.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0141155

DOI: 10.1371/journal.pone.0141155

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