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ABSTRACT: Objectives
To estimate the frequency of potentially inappropriate prescribing (PIP) in outpatients according to STOPP/START criteria, and to identify risk factors. For this purpose, an algorithm was developed and validated in RStudio® based on the information collected in the electronic prescription.Methods
The data corresponds to dispensations from two pharmacies in Spain made to patients over 18 years, over 4 years. For the analysis, only patients aged ≥ 65 years who are targeted by the STOPP/START criteria are included. The statistical programming language RStudio® was used to develop the algorithm. The STOPP criteria used as models for the implementation of the method were L2 and B12. A logistic regression analysis was performed.Results
A total of 15,601 treatme
SUBMITTER: Gonzalez-Munguia S
PROVIDER: S-EPMC11423496 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature