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Volume 18 - Issue 5, September-October 2016
ORIGINAL
INAPPRO PRIATE PRESCRIBING TO OLDER PATIENTS ADMITTED TO PRIVATE HOSPITAL
DOMÍNGUEZ SENÍN LORETO


Purpose and method: This study aims to measure the prevalence of Potentially Inappropriate Prescribing (PIP) using Beers and STOPP criteria to detect Potentially Inappropriate Medicines (PIM), and START and ACOVE criteria to detect Potential Prescribing Omissions (PPO), as well as an analysis using Bot PLUS 2.0 and Stockley’s Drug Interactions to check for drug interactions, on a cohort of patients hospitalized in Internal Medicine units in a private centre. We compared these screening tools and assessed the factors associated with inappropriate prescribing and interactions in order to evaluate the tools’ usefulness and applicability.

Results: Of the 63 patients in the study, the percentage of patients who experienced PIP was 78.33%. Of this total, 31.6% corresponded exclusively to PIM, and 18.3% to PPO, while 28.33% had experienced both. STOPP criteria detected 65% of PIM and Beers 58.33%. ACOVE detected 58.33% and START 66.67%
of PPO respectively. A total of 21.6% of patients presented some form of serious drug interaction. The degree of concordance in the prevalence of PIP between the criteria was low in all cases. The risk factors associated to PIP were polymedication, functional state and pluripathology. A significant relation between motive
for hospitalization and errors was also found, according to Beers’ criteria and the interactions. The variable most closely associated with the risk of suffering interactions was polymedication.

Conclusions: The scope for detecting unsuitability varies according to the criteria used. There is no consensus for selecting the best tool. Although there are numerous studies that report results on the use of all these tools, none concluded that one was superior to the rest for use in our environment.

INAPPROPIATE PRESCRIBING – ELD ERLY PATIENTS – PRIVATE HOSPITAL



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