Journal of Basic and Clinical Pharmacy · 2015 · 22 citations · 13 references
PharmacyClinical PharmacyPharmacologyClinical PharmacologyMedication Safety PolicyPharmacovigilanceAdverse Drug Event DetectionAdverse Drug Reaction DetectionAdverse Drug ReactionsCausality AssessmentDrug Safety MonitoringPharmacoepidemiologyAdverse Drug EventsAdverse Drug Reaction AnalysisEvent Severity AssessmentMedication Error - Related Adverse ReactionsSerious Adverse Drug ReactionsSeverity AssessmentTrigger Tool MethodologyTriggers
OBJECTIVES: To retrospectively determine the extent and types of adverse drug events (ADEs) from the patient cases sheets and identify the contributing factors of medication errors. To assess causality and severity using the World Health Organization (WHO) probability scale and Hartwig's scale, respectively. METHODS: Hundred patient case sheets were randomly selected, modified version of the Institute for Healthcare Improvement (IHI) Global Trigger Tool was utilized to identify the ADEs; causality and severity were calculated utilizing the WHO probability scale and Hartwig's severity assessment scale, respectively. RESULTS: In total, 153 adverse events (AEs) were identified using the IHI Global Trigger Tool. Majority of the AEs are due to medication errors (46.41%) followed by 60 adverse drug reactions (ADRs), 15 therapeutic failure incidents, and 7 over-dose cases. Out of the 153 AEs, 60 are due to ADRs such as rashes, nausea, and vomiting. Therapeutic failure contributes 9.80% of the AEs, while overdose contributes to 4.58% of the total 153 AEs. Using the trigger tools, we were able to detect 45 positive triggers in 36 patient records. Among it, 19 AEs were identified in 15 patient records. The percentage of AE/100 patients is 17%. The average ADEs/1000 doses is 2.03% (calculated). CONCLUSION: The IHI Global Trigger Tool is an effective method to aid provisionally-registered pharmacists to identify ADEs quicker.
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Adverse events in New Zealand public hospitals I: occurrence and impact.
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Health Professions, Geriatric Medicine, Clinical Epidemiology +13
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