Drug Errors and Incidents in a Neonatal Intensive Care Unit

Vincer, Michael; Murray, Joan; Yuill, Anne; Allen, Alexander C.; Evans, Jacquelyn R.; Stinson, Dora A.

doi:10.1001/archpedi.1989.02150180119032

Cited by 86 publications

(56 citation statements)

References 4 publications

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“…Many medication errors result from prescribing errors, which have an increased potential for serious complications. [3][4][5][6] Prescribing errors are classified into different categories based on knowledge, rules, action, and memory. Knowledge-based errors reflect lack of experience or understanding about certain medications.…”

Section: Introductionmentioning

confidence: 99%

Medication Error Identification Rates by Pharmacy, Medical, and Nursing Students

Warholak

Queiruga

Roush

et al. 2011

American Journal of Pharmaceutical Education

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Objective. To assess and compare prescribing error-identification rates by health professional students. Methods. Medical, pharmacy, and nursing students were asked to complete a questionnaire on which they evaluated the accuracy of 3 prescriptions and indicated the type of error found, if any. The number of correctly identified prescribing errors and the number of correct types of errors identified were compared and error identification rates for each group were calculated. Results. One hundred seventy-five questionnaires were returned (87% response rate). Pharmacy students had a significantly higher error-identification rate than medical and nursing students (p , 0.001). No significant differences were found between medical and nursing students (p 5 0.88). Compared to medical students, pharmacy students more often were able to identify correctly the error type for each prescription (p , 0.001; p 5 0.023; p 5 0.001).Conclusions. Of the 3 student groups, pharmacy students demonstrated a significantly higher erroridentification rate, which may be associated with the greater number of pharmacology and pharmacotherapeutics course hours that pharmacy students complete.

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Section: Introductionmentioning

confidence: 99%

Medication Error Identification Rates by Pharmacy, Medical, and Nursing Students

Warholak

Queiruga

Roush

et al. 2011

American Journal of Pharmaceutical Education

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“…It is time consuming, needs practical expert knowledge and experience, and involves the risk of introducing possibly fatal errors [5,7,15,16]. The daily time required per patient is approximately 10 minutes summing up to more than one hour for a eight beds neonatal intensive care unit (NICU).…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of VIE-PNN, a knowledge-based system for calculating the parenteral nutrition of newborn infants

Horn¹,

Popow²,

Miksch³

et al. 2002

Artificial Intelligence in Medicine

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Calculating the daily changing composition of parenteral nutrition for small newborn infants is troublesome and time consuming routine work in neonatal intensive care. The task needs expertise and experience and is prone to inherent calculation errors. We designed VIE-PNN, a knowledge-based system in order to reduce daily routine work and calculation errors. VIE-PNN was redesigned several times because the clinicians accepted the system only when it saved time. The most recent version of VIE-PNN uses a HTML-based clientserver architecture and is integrated into the intranet of the local patient data management system. Since more than three years all parenteral nutrition plans are calculated using VIE-PNN. Evaluating the system's performance and the users contentedness, we compared 50 nutrition plans calculated in parallel using VIE-PNN or a hand-held calculator, retrospectively analyzed more than 5000 nutrition plans stored in VIE-PNNs database and evaluated a user questionnaire. Nutrition plans were calculated in a mean time of 2.4 vs. 7.1 minutes using VIE-PNN or the hand-held calculator. Errors and omissions in the nutrition plans were detected in 22 vs. 56% and errors in the VIE-PNN's plans occurring only with interactively changed values. Reviews of stored plans show that a mean of 4 out of 16 parameters were interactively changed. VIE-PNN was well accepted. Most important reasons for the successful operation of VIE-PNN in the daily routine work were time savings and robustness of the system.

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“…9,15,16 In pediatric patients, the most common type of medication error is a dosing error at the ordering stage. [17][18][19] Preventable ADEs (eg, ordering and administering an incorrect medication or dosage) are more common than nonpreventable ADEs (eg, a newly developed drug allergy). In 1995, Leape et al 17 described poor dissemination of drug knowledge (29%) and inadequate availability of patient information (18%), such as the results of laboratory tests, as the most common causes of ADEs.…”

Section: Hospital-based Studiesmentioning

confidence: 99%

Electronic Prescribing Systems in Pediatrics: The Rationale and Functionality Requirements

Gerstle¹,

Lehmann²

2007

Pediatrics

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This technical report discusses electronic prescribing systems and their limitations and potential benefits, particularly to the pediatrician in the ambulatory setting. In the report we acknowledge the benefits of integrating these systems with electronic health records and practice-management systems and recommend that the adoption of electronic prescribing systems be done in the context of ultimately moving toward an electronic health record. This technical report supports the accompanying American Academy of Pediatrics policy-statement recommendations on the adoption of electronic prescribing systems by pediatricians.

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Drug Errors and Incidents in a Neonatal Intensive Care Unit

Cited by 86 publications

References 4 publications

Medication Error Identification Rates by Pharmacy, Medical, and Nursing Students

Medication Error Identification Rates by Pharmacy, Medical, and Nursing Students

Development and evaluation of VIE-PNN, a knowledge-based system for calculating the parenteral nutrition of newborn infants

Electronic Prescribing Systems in Pediatrics: The Rationale and Functionality Requirements

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