Pharmacy, Health Sciences & Exercise Science

Impact of Barcode Scanning on Safety in the Centralized Breast Milk Lab

Presenter Information

Andrew Teare, Butler University

Document Type

Oral Presentation

Location

Indianapolis, IN

Subject Area

Pharmacy, Health Sciences & Exercise Science

Start Date

11-4-2014 10:15 AM

End Date

11-4-2014 11:45 AM

Description

Background: There are numerous instances where an infant receives a different mother's breast milk. Errors can occur if a healthcare provider selects or labels the wrong mother's milk, mistakes patients with similar names and/or multiples within the same family; and thus, the baby receives the wrong product. Developing an electronic checks and balances for breast milk through a centralized milk lab will take risks away from the current verification method and improve safety.

Study objective: Compare error rates prior to barcode scanning and after implementation to determine if the barcode scanning system results in reduced errors and measure nurses', milk lab technicians', and families' satisfaction with the new system.

Methods: Near miss rates (defined as without one of the fail safes in place, the wrong breast milk could have been given) will be reported by milk lab technicians and nurses to the hospital's reporting system. An evaluation of near miss data via the Barcode Medication Administration (BCMA) devices will be utilized because near miss data has very low reporting rates if done individually. The new system will have many electronic check steps with the BCMA device CareAdmin utilizing the Medication Administration Wizard in the electronic health record. The BCMA device, along with visual checks are used at the following steps: mother receives bottles (labels placed on bottles and baby's specific return bin), mother returns bottles (scan bottles against baby's return bin), order comes for breast milk (scan order labels against bottles), transportation to baby's room (bottles against bag), and finally when feeding the baby (bottle against baby specific armband). Error rates will be analyzed with descriptive statistics.

Results: Data is still being collected and results will be presented at the Undergraduate Research Conference.

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Apr 11th, 10:15 AM Apr 11th, 11:45 AM

Impact of Barcode Scanning on Safety in the Centralized Breast Milk Lab

Indianapolis, IN

Background: There are numerous instances where an infant receives a different mother's breast milk. Errors can occur if a healthcare provider selects or labels the wrong mother's milk, mistakes patients with similar names and/or multiples within the same family; and thus, the baby receives the wrong product. Developing an electronic checks and balances for breast milk through a centralized milk lab will take risks away from the current verification method and improve safety.

Study objective: Compare error rates prior to barcode scanning and after implementation to determine if the barcode scanning system results in reduced errors and measure nurses', milk lab technicians', and families' satisfaction with the new system.

Methods: Near miss rates (defined as without one of the fail safes in place, the wrong breast milk could have been given) will be reported by milk lab technicians and nurses to the hospital's reporting system. An evaluation of near miss data via the Barcode Medication Administration (BCMA) devices will be utilized because near miss data has very low reporting rates if done individually. The new system will have many electronic check steps with the BCMA device CareAdmin utilizing the Medication Administration Wizard in the electronic health record. The BCMA device, along with visual checks are used at the following steps: mother receives bottles (labels placed on bottles and baby's specific return bin), mother returns bottles (scan bottles against baby's return bin), order comes for breast milk (scan order labels against bottles), transportation to baby's room (bottles against bag), and finally when feeding the baby (bottle against baby specific armband). Error rates will be analyzed with descriptive statistics.

Results: Data is still being collected and results will be presented at the Undergraduate Research Conference.