scholarly journals Systematic Steps to Diminish Multi-Fold Medication Errors in Neonates

2003 ◽  
Vol 8 (4) ◽  
pp. 266-273 ◽  
Author(s):  
Joaquim M. B. Pinheiro ◽  
Amy L. Mitchell ◽  
Timothy S. Lesar

Tenfold and other multiple-of-dose errors are particularly common in the neonatal intensive care unit (NICU), where the fragility of the patients increases the potential for significant adverse outcomes. Such errors can originate at any of the sequential phases of the process, from medication ordering to administration. Each step of calculation, prescription writing, transcription, dose preparation, and administration is an opportunity for generating and preventing medication errors. A few simple principles and practical tips aimed at avoiding decimal and other multiple-dosing errors can be systematically implemented through the various steps of the process. The authors describe their experience with the implementation of techniques for error reduction in a NICU setting. The techniques described herein rely on simple, inexpensive technologies for information and automation, and on standardization and simplification of processes. They can be immediately adapted and applied in virtually any NICU and could be integrated into the development of computerized order entry systems appropriate to NICU settings. Either way, they should decrease the likelihood of undetected human error.

2018 ◽  
Vol 25 (5) ◽  
pp. 555-563 ◽  
Author(s):  
Yizhao Ni ◽  
Todd Lingren ◽  
Eric S Hall ◽  
Matthew Leonard ◽  
Kristin Melton ◽  
...  

Abstract Background Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows. Methods Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children’s Hospital Medical Center during a 4-month period. The automated system extracted real-time medication use information from the institutional electronic health records and identified MAEs using logic-based rules and natural language processing techniques. The MAE summary was delivered via a real-time messaging platform to promote reduction of patient exposure to potential harm. System performance was validated using a physician-generated gold standard of MAE events, and results were compared with those of current practice (incident reporting and trigger tools). Results Physicians identified 116 MAEs from 10 104 medication administrations during the study period. Compared to current practice, the sensitivity with automated MAE detection was improved significantly from 4.3% to 85.3% (P = .009), with a positive predictive value of 78.0%. Furthermore, the system showed potential to reduce patient exposure to harm, from 256 min to 35 min (P < .001). Conclusions The automated system demonstrated improved capacity for identifying MAEs while guarding against alert fatigue. It also showed promise for reducing patient exposure to potential harm following MAE events.


2018 ◽  
Vol 35 (12) ◽  
pp. 1186-1191 ◽  
Author(s):  
Kara Hoppe ◽  
Melissa Schiff ◽  
Thomas Benedetti ◽  
Shani Delaney

Objective Evaluate the association between spontaneous active labor duration utilizing contemporary labor curves and risk of adverse outcomes. Materials and Methods This is a retrospective cohort study from January 2012 to January 2015. Subjects were nulliparous, 18 to 44 years, with a cephalic, singleton ≥37 weeks in spontaneous labor. Subjects were placed into three subgroups, defined by active labor duration from 6 to 10 cm as less than the median, the median-95th, and >95th percentile based on contemporary labor curves published by Zhang et al. We evaluated the association between subgroups and cesarean delivery, chorioamnionitis, estimated blood loss, Apgar score < 7 at 5 minutes, and neonatal intensive care unit admission using logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI). Results Six-hundred forty two women met the inclusion criteria. Compared with women whose active labor was less than the median, the risk of cesarean was higher in the median-95th percentile ([adjusted OR, aOR] 3.1, 95% CI 1.8–5.5) and the >95th percentile ([aOR] 6.8, 95% CI 3.9–11.7) subgroups. There was an increased odds of chorioamnionitis in the median-95th percentile subgroup ([aOR] 2.5, 95% CI 1.1–5.9). Conclusion Chorioamnionitis and cesarean delivery increased significantly as labor duration exceeded the median. This study provides a better understanding regarding the potential risk of cesarean and chorioamnionitis using contemporary labor curves.


2005 ◽  
Vol 33 ◽  
pp. A93
Author(s):  
Azizeh Sowan ◽  
Karen Soeken ◽  
Meg Johantgen ◽  
Mary Etta Mills ◽  
Mohamed Gaffoor ◽  
...  

2013 ◽  
Vol 20 (3) ◽  
pp. 470-476 ◽  
Author(s):  
D. C. Radley ◽  
M. R. Wasserman ◽  
L. E. Olsho ◽  
S. J. Shoemaker ◽  
M. D. Spranca ◽  
...  

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