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Overdose rate of drugs requiring renal dose adjustment: data analysis of 4 years prescriptions at a tertiary teaching hospital.

Authors
Sheen, SS  | Choi, JE | Park, RW  | Kim, EY | Lee, YH | Kang, UG
Citation
Journal of general internal medicine, 23(4). : 423-428, 2008
Journal Title
Journal of general internal medicine
ISSN
0884-87341525-1497
Abstract
OBJECTIVE: To determine the overdose rate of drugs that require renal dose adjustment and factors related with overdose.



SUBJECTS: Total of 23,635,210 records of prescriptions and laboratory data of inpatients at a tertiary teaching hospital for the period from January 2002 to December 2005.



METHODS: A clinical data mart was constructed. A knowledge base containing dose adjusting information about 56 drugs was built. One day dose was compared to the reference dose adjusted to the patient's renal function.



RESULTS: Considering the patient's renal function, 5.3% of drug doses were excessive. The overdose rate in the patients with moderate to severe renal insufficiency was 28.2%. Only 25% of physicians were responsible for 50.6% of the overdoses. Of 56 drugs studied, 10 drugs, including ranitidine, amoxicillin, and piperacillin/tazobactam, were involved in 85.4% of the overdoses. The physicians with high overdose rate had patients with more impaired renal function (correlation coefficient = 0.192, P < .001). There were negative correlation between clinical experiences of physician and overdose rate (correlation coefficient = -0.221, P < .001) and workload of prescription (correlation coefficient = -0.446, P < .001), when excluding interns from the analyses. There was positive correlation between workload of prescription and overdose rate (correlation coefficient = 0.361, P < .001).



CONCLUSION: A clinical data mart was useful to analyze the vast amount of electronic hospital data. Drug overdose is quite common among inpatients with renal insufficiency. Only a few drugs are responsible for most of drug overdoses. The physicians' clinical experience, workload of prescriptions, and patients' renal function are correlated with drug overdose.
MeSH

DOI
10.1007/s11606-007-0336-8
PMID
18373140
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Pulmonary & Critical Care Medicine
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Ajou Authors
박, 래웅  |  신, 승수
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