Prevalence and Predictors of Potentially Inappropriate Medication Use Among Elderly Patients Using Updated Beers Criteria 2019: A Single Centered Retrospective Analysis

Autor: S Deepika, Girish Thunga, Muhammed Rashid, Syam Sundar, Raviraja V Acharya, Srilakshmi Cheeti, Sreedharan Nair, Aditi Bajpai
Rok vydání: 2020
Předmět:
Zdroj: Current drug safety. 17(1)
ISSN: 2212-3911
Popis: Background: Inappropriate medication use poses a sizable health safety hazard in the elderly owing to aging-associated physiological and anatomic changes. Inappropriate drug prescribing and polypharmacy in this population elevate the risk of adverse drug reactions (ADR). The study aimed at assessing the prevalence and predictors of Potentially Inappropriate Medication (PIM) use in elderly patients according to updated Beers Criteria 2019. Method: Medical records of 402 patients aged ≥65 years admitted to a tertiary care hospital from June 2018 to May 2019 were analyzed. The patients who received at least one PIM based on the 2019 Updated Beers Criteria were considered as test cases and others as control. Data were presented as descriptive statistics, and logistic regression was performed to assess the factors affecting the outcomes. Result: The mean age was found to be 73.7 ±6.4 years in the test and 70.5±5.5 years in the control group. The prevalence of PIMs to be used with caution was found to be 54%. Whereas the prevalence of PIMs to be avoided and to be used with reduced dose was found to be 45% and 1%, respectively. The most prescribed PIMs were aspirin, diuretics, long-acting sulfonylureas, and proton pump inhibitors (PPIs). Increasing age, polypharmacy, and the number of drugs in medication history were significantly (p Conclusion: A high prevalence of PIMs was observed in this study. Age, polypharmacy, and ≥ 3 drugs in medication history were identified as risk factors for PIM use, and at a higher risk of developing DDIs. Continuous medication reviews by clinical pharmacists can aid in reducing the occurrence of PIMs amongst geriatrics.
Databáze: OpenAIRE