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Korean Journal of Clinical Pharmacy ; : 254-263, 2015.
Article in Korean | WPRIM | ID: wpr-216876

ABSTRACT

OBJECTIVES: The present study assessed the prevalence of the potentially inappropriate medication (PIM) use in Korean elderly patients with Parkinson's disease. In addition, this study examined risk factors that affect PIM use. METHOD: A retrospective, observational study was conducted using Korean National Health Insurance claims database of 2009. PIM use in Parkinson's disease patients aged 65 years or older was examined based on 2012 Beers Criteria. Multivariable logistic regression was conducted to identify risk factors for PIM use. RESULTS: Among 5,277 elderly patients with Parkinson's disease, 88.9% of patients used PIM(s) at least once. The average number of PIM items used per patient was 4.2. PIM use ratio, the proportion of total amount of PIMs to all medications per patient, was 12.6%. Frequently used PIM therapeutic classes were benzodiazepines (32.7%), first-generation antihistamines (19.2%), and prokinetics (17.5%). Individual PIMs most commonly used included chlorpheniramine (11.4%), levosulpiride (10.9%), diazepam (9.0%), and alprazolam (7.6%). Women (odds ratio [OR] 1.14, 95% confidence interval [CI] 1.11-1.16), medical aid (OR 1.18, 95% CI 1.15-1.21), and long-term facilities (OR 2.43, 95% CI 2.22-2.65) were shown to be risk factors associated with PIM use. Of particular, wide variation in PIM use was associated with the types of healthcare facility. CONCLUSION: The PIM prevalence was very high in elderly Parkinson's disease patients. Nationally effective and systematic efforts to identify and prevent PIM use should be made to ensure patient safety and to improve quality of care in the elderly.


Subject(s)
Aged , Female , Humans , Alprazolam , Beer , Benzodiazepines , Chlorpheniramine , Delivery of Health Care , Diazepam , Histamine Antagonists , Logistic Models , National Health Programs , Observational Study , Parkinson Disease , Patient Safety , Prevalence , Retrospective Studies , Risk Factors
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