作者
Concepción Violán, Quintí Foguet-Boreu, Sergio Fernández-Bertolín, Marina Guisado-Clavero, Margarita Cabrera-Bean, Francesc Formiga, Jose Maria Valderas, Albert Roso-Llorach
发表日期
2019/8/1
期刊
BMJ open
卷号
9
期号
8
页码范围
e029594
出版商
British Medical Journal Publishing Group
简介
Objectives
The aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records of a population ≥65 years, and to analyse such patterns in accordance with the different prevalence cut-off points applied. Fuzzy cluster analysis allows individuals to be linked simultaneously to multiple clusters and is more consistent with clinical experience than other approaches frequently found in the literature.
Design
A cross-sectional study was conducted based on data from electronic health records.
Setting
284 primary healthcare centres in Catalonia, Spain (2012).
Participants
916 619 eligible individuals were included (women: 57.7%).
Primary and secondary outcome measures
We extracted data on demographics, International Classification of Diseases version 10 chronic diagnoses, prescribed drugs and socioeconomic status for patients aged ≥65. Following principal …
学术搜索中的文章
C Violán, Q Foguet-Boreu, S Fernández-Bertolín… - BMJ open, 2019