Combined Multimorbidity and Polypharmacy Patterns in the Elderly: A Cross-Sectional Study in Primary Health Care
| Autor: | Amelia Troncoso-Mariño, Grant Stafford, Noemí Villén, Concepción Violán, Albert Roso-Llorach, Mònica Monteagudo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Gerontology
multimorbidity Cross-sectional study Health Toxicology and Mutagenesis Population Primary health care Diseases elderly Chronic disease Clustering Article Persones grans primary healthcare Elderly Combined patterns Diabetes mellitus Aprenentatge automàtic Machine learning medicine Multimorbidity Humans Multiple Chronic Conditions Medical prescription polypharmacy education Aged Polypharmacy education.field_of_study Primary Health Care business.industry Public Health Environmental and Occupational Health medicine.disease Cross-Sectional Studies Morbiditat machine learning combined patterns Medicine Female Older people business Primary healthcare chronic disease clustering |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 9216, p 9216 (2021) International Journal of Environmental Research and Public Health Volume 18 Issue 17 Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Dipòsit Digital de la UB Universidad de Barcelona |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | Altres ajuts: Pla Estratègic de Recerca i Innovació en Salut (PERIS), SLT002/16/00058 Background: The acquisition of multiple chronic diseases, known as multimorbidity, is common in the elderly population, and it is often treated with the simultaneous consumption of several prescription drugs, known as polypharmacy. These two concepts are inherently related and cause an undue burden on the individual. The aim of this study was to identify combined multimorbidity and polypharmacy patterns for the elderly population in Catalonia. Methods: A cross-sectional study using electronic health records from 2012 was conducted. A mapping process was performed linking chronic disease categories to the drug categories indicated for their treatment. A soft clustering technique was then carried out on the final mapped categories. Results: 916,619 individuals were included, with 93.1% meeting the authors' criteria for multimorbidity and 49.9% for polypharmacy. A seven-cluster solution was identified: one non-specific (Cluster 1) and six specific, corresponding to diabetes (Cluster 2), neurological and musculoskeletal, female dominant (Clusters 3 and 4) and cardiovascular, cerebrovascular and renal diseases (Clusters 5 and 6), and multi-system diseases (Cluster 7). Conclusions: This study utilized a mapping process combined with a soft clustering technique to determine combined patterns of multimorbidity and polypharmacy in the elderly population, identifying overrepresentation in six of the seven clusters with chronic disease and chronic disease-drug categories. These results could be applied to clinical practice guidelines in order to better attend to patient needs. This study can serve as the foundation for future longitudinal regarding relationships between multimorbidity and polypharmacy. |
| Databáze: | OpenAIRE |
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