Closed-Loop Medication System: Leveraging Technology to Elevate Safety.
Background: Healthcare organizations have long been dependent on the vigilance of nurses to identify and intercept medication errors before they can adversely affect patients. New technologies have been implemented in an effort to reduce medication errors; however, few studies have evaluated the lon...
| Publicado en: | Nursing Leadership (1910-622X) Vol. 32; pp. 17 - 29 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Longwoods Publishing
2019 Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136403650&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136403650 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1910622X B8WH jtl: Nursing Leadership (1910-622X) issn: 1910622X maglogo: N pubinfo: dt: 2019 Special Issue vid: 32 pid: 20495 pub: Longwoods Publishing place: Toronto, Ontario artinfo: ui: 136403650 136403650 136403650 136403650 ppf: 17 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Closed-Loop Medication System: Leveraging Technology to Elevate Safety. aug: au: Burkoski, Vanessa Yoon, Jennifer Solomon, Shirley Hall, Trevor N. T. Karas, Albert B. Jarrett, Scott R. Collins, Barbara E. affil: Chief Nursing Executive & Chief, People Strategy Humber River Hospital Toronto, ON sug: subj: Medication Errors Prevention and Control Adverse Drug Event Prevention and Control Medication Systems Methods Bar Coding Utilization Drug Administration Patient Safety Human Canada Descriptive Statistics Collaboration Interprofessional Relations Clinical Pharmacy Information Systems Quasi-Experimental Studies Data Analysis Software Quality Improvement ab: Background: Healthcare organizations have long been dependent on the vigilance of nurses to identify and intercept medication errors before they can adversely affect patients. New technologies have been implemented in an effort to reduce medication errors; however, few studies have evaluated the long-term effects of technology-based interventions in reducing medication errors. Aim: The aim of this study was to evaluate the effects of barcode medication administration (BCMA) and the closed-loop medication system (CLMS) interventions on medication errors and adverse drug event (ADE) rates. Methods: An autoregressive integrated moving average model for interrupted time series design was used to evaluate the impact of the BCMA and CLMS interventions on the monthly reported medication error and ADE rates at Humber River Hospital between September 2013 and August 2018. Descriptive statistics were generated to evaluate the types of error and their gravity. Results: A total of 1,712 medication errors and ADEs were reported in the five-year study period. The results of the interrupted time series indicated that the introduction of the BCMA intervention was associated with a statistically significant gradual decrease in reported medication error and ADE rates at 0.002 percentage points per month (p = 0.003). The introduction of the CLMS intervention was associated with an immediate absolute decrease in reported medication error and ADE rates of 0.010% (p = 0.020). Conclusion: The findings from this study support the adoption of both BCMA and CLMS interventions to prevent medication errors. Staged implementation of CLMS allows time for learning and incorporating barcode scanning. Interprofessional and cross-functional collaboration is necessary to successfully integrate the requirements of each respective discipline and service in the CLMS. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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