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Published on: November 9, 2016
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How do medication errors occur in the nursing communication process? Investigating the relationship between error
Haizhe Jin1, Zhibin Xiao1, Mingming Li1
1Department of Industrial Engineering, School of Business Administration, Northeastern University, Shenyang, China.
Work (Reading, Mass.)
|October 10, 2022
Summary
Understanding the link between human error types and error factors in medication administration is key to preventing future errors. This study quantifies these relationships to improve patient safety and reduce medication errors.
Area of Science:
- Nursing
- Patient Safety
- Human Factors Engineering
Background:
- Human error analysis involves understanding error types and factors.
- The relationship between error types and factors is crucial for error analysis, statistics, identification, and prevention.
- Medication communication errors pose a significant risk in healthcare settings.
Purpose of the Study:
- To quantitatively explore the relationship between error types and error factors in medication communication.
- To provide evidence and guidance for preventing and improving medication communication errors.
Main Methods:
- Collected self-reported medication administration errors from nurses across three institutions.
- Identified error types using the systematic human error reduction and prediction approach and human cognition.
- Extracted error factors via root cause analysis and Berlo's communication model.
- Quantitatively analyzed the relationship using partial least-squares regression.
Main Results:
- Analyzed 303 error cases, identifying six error types and 12 error factors in nursing medication communication.
- Quantitatively determined 20 correlation patterns between error types and error factors.
- Path coefficients ranged from 0.088 to 0.467, indicating varying degrees of relationship strength.
Conclusions:
- Provides a statistical basis for understanding medication errors in nursing.
- Identifies key error factors related to specific error types for targeted interventions.
- Offers insights for establishing effective countermeasures to prevent recurrent errors.
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