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Accurate Dosing Weight: When the 10% Really Matters
Swaminathan Kandaswamy1, Sarah Thompson2, Evan Orenstein1,2
1Emory University School of Medicine, Atlanta, GA, USA.
Insights
Medication dosing errors in children are reduced by a new clinical decision support system. This system improves weight accuracy, decreasing dosing discrepancies and enhancing patient safety.
Area of Science:
- Pediatric Pharmacology
- Health Informatics
- Patient Safety
Background:
- Children face higher risks of medication errors, frequently stemming from inaccurate weight-based dosing.
- Weight-based dosing errors contribute significantly to adverse drug events in pediatric populations.
Purpose of the Study:
- To decrease the percentage of medication administrations where the dosing weight differed by 10% or more from the recorded patient weight.
- To enhance the accuracy of medication dosing for pediatric patients.
Main Methods:
- In-situ usability testing was employed to refine clinical decision support tools.
- The system prompted clinicians to update patient weights if the recorded weight differed by over 10% from the last recorded weight, especially after 7 days.
Main Results:
- The proportion of medication administrations with a >10% weight difference decreased from 13.1% to 9.5% (P < 0.001).
- This intervention demonstrated a statistically significant reduction in dosing weight inaccuracies.
Conclusions:
- User-centered design of an interruptive alert effectively improved dosing weight accuracy during medication administration.
- In-situ usability testing proved valuable for rapid feedback and iterative design, leading to desired behavioral changes in clinicians.
Introduction:
Children are at increased risk of medication-associated adverse events, often due to weight-based dosing errors. We aimed to reduce the proportion of medications that were administered where the dosing weight was ≥ 10% different from the recorded weight.
Methods:
We adopted in-situ usability testing to iteratively improve design of clinical decision support that would enable accurate dosing weight documentation by prompting clinicians to update weight if recorded weight was > 10% different and it had been at least 7 days since the last dosing weight update.
Results:
The proportion of medication administrations with difference >10% between their recorded weight and dosing weight decreased from 13.1% (56,256/ 429,006) in the baseline period to 9.5% (35,560 / 372,443) in the intervention period (P < 0.001).
Discussion And Conclusion:
User-centered design of an interruptive alert improved the accuracy of dosing weights during medication administrations without substantial alert burden. In-situ usability testing is an effective approach to rapidly obtain feedback from frontline users and iterate on the design to effect desired behavior changes.
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