Publication | Open Access
Adverse drug event trigger tool: a practical methodology for measuring medication related harm
447
Citations
22
References
2003
Year
DatabasesDiagnosisPharmacotherapyHarm ReductionAdverse Drug ReactionDrug HypersensitivityAdverse EventAdverse Drug EventsPractical MethodologyPublic HealthDrug SafetyOutcomes ResearchChart AuditsTrigger ToolPharmacologyEpidemiologySubstance AbuseDrug Information SystemPharmacoepidemiologyPatient SafetyPharmacovigilanceMedicineHealth InformaticsEmergency Medicine
Adverse drug events are the most frequent source of healthcare mishaps, and because drug treatment is the most common medical intervention, assessing safety has been difficult with expensive, insensitive chart audits and voluntary reporting, while computerized trigger methods are effective but costly and require custom software. This paper introduces a low‑cost, low‑tech modification of the automated trigger tool to detect medication‑related harm. The adapted trigger tool markedly increases ADE detection, boosting rates by roughly 50‑fold compared to traditional reporting methods.
Adverse drug events continue to be the single most frequent source of healthcare mishaps, continually placing patients at risk of injury. This is not unexpected, given that drug treatment is the most common medical intervention and medication use is a highly complex, multidisciplinary, and largely manual process. Assessing the actual safety of drug use has been historically difficult, mainly because traditional methods such as chart audits and voluntary reporting of data have been shown to be expensive, insensitive, and largely ineffective for detecting mistakes in drug administration and drug related adverse clinical events (ADEs). Computerized methods for detecting ADEs, employing sentinel words or "triggers" in a patient's medical record, are effective but expensive and require customized software linkage to pharmacy databases. This paper describes the use of the "trigger tool", a relatively low cost and "low tech" modification of the automated technique. The adapted technique appears to increase the rate of ADE detection approximately 50-fold over traditional reporting methodologies.
| Year | Citations | |
|---|---|---|
Page 1
Page 1