When the nurse writes in the chart and discovers an error has been made which is the best approach

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Detection methods used to investigate medication errors and adverse events

MethodAdvantagesLimitationsEfficacyCosts
Chart reviewRetroactive; disposable data; commonly used; standardized criteria; poor at capturing latent failuresDifficult; time-consuming; labour intensive; planning criteria/indicators necessaryGold standard to detect adverse events; less medication errors detected; reviews, papersReviewers' training and time (nurses, pharmacists, students, physicians)
Claims dataLocal data; captures latent failuresLitigation based; legal implicationsAdverse events detectedReviewers' training and time
Incident reporting (sentinel events)High-quality data; root cause analysis due; captures active and latent failuresOnly detects severe, unexplained events/deaths; underestimated rates (blame and fear of punishment)Reports and alerts; detects adverse events; less medication errors detectedRoot cause analysis
Voluntary reportingVariety of sources; structured simple form; Captures active and latent failures; promotes a culture of safetyVariable quality; underreporting; blame culture; problem of data integrationReports and alerts; feedback and corrective actions; medication errors detectedTime for feedback and analysis
Administrative data examinationDisposable and retroactive data; easy; standardizedAbsence of clinical dataStatisticalRoutine evaluation
Computer monitoringMultidata source integration; real time; adverse events preventionInserted errors; poor software; poor triggers; undetermined future risksPrescribing faults, prescription errors, and dispensing errors (CPOE)High costs for software and implementation
Direct care observationAccurate; captures active errorsTime-consuming; training difficult;Good quality data about administration errorsNurse training
Patient monitoringData from outpatients; wide impactNot standardized tools (interviews, questionnaires, focus groups, etc)Future developmentNurse training