Impact of automated dispensing cabinets on dispensing errors, interruptions and pillbox preparation time. 2023

Margaux Jumeau, and Olivia Francois, and Pascal Bonnabry
Pharmacy, Geneva University Hospitals, Geneva, Switzerland margaux.vallee19@gmail.com.

OBJECTIVE This work aimed to evaluate the impact of automated dispensing cabinets on the dispensing error rate, the number of interruptions, and pillbox preparation times. METHODS A prospective observational study was conducted across 16 wards in two departments (internal medicine and surgery) of a large teaching hospital. The study compared eight wards using automated dispensing cabinets (ADCs) and eight using a traditional ward stock (TWS) method. A disguised observation technique was used to compare occurrences of dispensing errors and interruptions and pillbox preparation times. The proportion of errors was calculated by dividing the number of doses with one or more errors by the total number of opportunities for error. Wards participating in the 'More time for patients' project-a Lean Management approach-were compared with those not participating. The potential severity of intercepted errors was assessed. RESULTS Our observations recorded 2924 opportunities for error in the preparation of 570 pillboxes by 132 nurses. We measured a significantly lower overall error rate (1.0% vs 5.0%, p=0.0001), significantly fewer interruptions per hour (3.2 vs 5.7, p=0.008), and a significantly faster mean preparation time per drug (32 s vs 40 s, p=0.0017) among ADC wards than among TWS wards, respectively. We observed a significantly lower overall error rate (1.4% vs 4.4%, p=0.0268) and a non-significantly lower number of interruptions per hour (3.8 vs 5.1, p=0.0802) among wards participating in the 'More time for patients' project. CONCLUSIONS A high dispensing-error rate was observed among wards using TWS methods. Wards using ADCs connected to computerised physician order entry and installed in a dedicated room had fewer dispensing errors and interruptions and their nurses prepared pillboxes faster. Wards participating in a Lean Management project had lower error rates than wards not using this approach.

UI MeSH Term Description Entries
D008508 Medication Errors Errors in prescribing, dispensing, or administering medication with the result that the patient fails to receive the correct drug or the indicated proper drug dosage. Drug Use Error,Errors, Medication,High-Alert Drug Error,High-Alert Medication Error,LASA Medication Errors,Look-Alike Drug Name Errors,Look-Alike Sound-Alike Drug Errors,Look-Alike Sound-Alike Drug Substitution Errors,Look-Alike Sound-Alike Medication Errors,Lookalike Drug Name Errors,Lookalike Soundalike Drug Errors,Lookalike Soundalike Drug Substitution Errors,Lookalike Soundalike Medication Errors,Drug Error, High-Alert,Drug Use Errors,Error, Drug Use,Error, LASA Medication,Error, Medication,High Alert Drug Error,High Alert Medication Error,High-Alert Drug Errors,High-Alert Medication Errors,LASA Medication Error,Look Alike Drug Name Errors,Look Alike Sound Alike Drug Errors,Look Alike Sound Alike Drug Substitution Errors,Look Alike Sound Alike Medication Errors,Medication Error,Medication Error, High-Alert,Medication Error, LASA,Medication Errors, High-Alert,Medication Errors, LASA
D008510 Medication Systems, Hospital Overall systems, traditional or automated, to provide medication to patients in hospitals. Elements of the system are: handling the physician's order, transcription of the order by nurse and/or pharmacist, filling the medication order, transfer to the nursing unit, and administration to the patient. Hospital Drug Distribution Systems,Hospital Medication System,Hospital Medication Systems,Medication System, Hospital,Drug Distribution System, Hospital,Drug Distribution Systems, Hospital,Hospital Unit Dose Drug Distribution System,Hospital Unit Dose Drug Distribution Systems,System Hospital Medication,Systems, Medication Hospital,Hospital Medication, System,Hospital Medications, System,Hospital System, Medication,Hospital Systems, Medication,Medication Hospital System,Medication Hospital Systems,Medication, System Hospital,Medications, System Hospital,System Hospital Medications,System, Hospital Medication,System, Medication Hospital,Systems, Hospital Medication
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D006784 Hospitals, Teaching Hospitals engaged in educational and research programs, as well as providing medical care to the patients. Hospital, Teaching,Teaching Hospital,Teaching Hospitals
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D050316 Medical Order Entry Systems Information systems, usually computer-assisted, that enable providers to initiate medical procedures, prescribe medications, etc. These systems support medical decision-making and error-reduction during patient care. CPOE,Order Entry Systems, Medical,Alert Systems, Medication,Computerized Physician Order Entry,Computerized Physician Order Entry System,Computerized Provider Order Entry,Computerized Provider Order Entry System,Medication Alert Systems,Alert System, Medication,Medication Alert System,System, Medication Alert

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