Use of failure mode, effect and criticality analysis to improve safety in the medication administration process.

RATIONALE, AIMS AND OBJECTIVES: To critically evaluate the causes of preventable adverse drug events during the nurse medication administration process in inpatient units with computerized prescription order entry and profiled automated dispensing cabinets in order to prioritize interventions that need to be implemented and to evaluate the impact of specific interventions on the criticality index. METHODS: This is a failure mode, effects and criticality analysis (FMECA) study. A multidisciplinary consensus committee composed of pharmacists, nurses and doctors evaluated the process of administering medications in a hospital setting in Spain. By analysing the process, all failure modes were identified and criticality was determined by rating severity, frequency and likelihood of failure detection on a scale of 1 to 10, using adapted versions of already published scales. Safety strategies were identified and prioritized. RESULTS: Through consensus, the committee identified eight processes and 40 failure modes, of which 20 were classified as high risk. The sum of the criticality indices was 5254. For the potential high-risk failure modes, 21 different potential causes were found resulting in 24 recommendations. Thirteen recommendations were prioritized and developed over a 24-month period, reducing total criticality from 5254 to 3572 (a 32.0% reduction). The recommendations with a greater impact on criticality were the development of an electronic medication administration record (-582) and the standardization of intravenous drug compounding in the unit (-168). Other improvements, such as barcode medication administration technology (-1033), were scheduled for a longer period of time because of lower feasibility. CONCLUSION: FMECA is a useful approach that can improve the medication administration process.

Prevalence of medication administration errors in two medical units with automated prescription and dispensing.

OBJECTIVE: To identify the frequency of medication administration errors and their potential risk factors in units using a computerized prescription order entry program and profiled automated dispensing cabinets. DESIGN: Prospective observational study conducted within two clinical units of the Gastroenterology Department in a 1537-bed tertiary teaching hospital in Madrid (Spain). MEASUREMENTS: Medication errors were measured using the disguised observation technique. Types of medication errors and their potential severity were described. The correlation between potential risk factors and medication errors was studied to identify potential causes. RESULTS: In total, 2314 medication administrations to 73 patients were observed: 509 errors were recorded (22.0%)-68 (13.4%) in preparation and 441 (86.6%) in administration. The most frequent errors were use of wrong administration techniques (especially concerning food intake (13.9%)), wrong reconstitution/dilution (1.7%), omission (1.4%), and wrong infusion speed (1.2%). Errors were classified as no damage (95.7%), no damage but monitoring required (2.3%), and temporary damage (0.4%). Potential clinical severity could not be assessed in 1.6% of cases. The potential risk factors morning shift, evening shift, Anatomical Therapeutic Chemical medication class antacids, prokinetics, antibiotics and immunosuppressants, oral administration, and intravenous administration were associated with a higher risk of administration errors. No association was found with variables related to understaffing or nurse's experience. CONCLUSIONS: Medication administration errors persist in units with automated prescription and dispensing. We identified a need to improve nurses' working procedures and to implement a Clinical Decision Support tool that generates recommendations about scheduling according to dietary restrictions, preparation of medication before parenteral administration, and adequate infusion rates.