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Related Experiment Videos

Error in skilled performance: a control model of prescribing.

Richard S Marken1

  • 1The RAND Corporation, Santa Monica, CA 90407, USA. rmarken@rand.org

Ergonomics
|August 23, 2003
PubMed
Summary

A new control model explains prescribing errors by considering skill, system design, prescription variety, and time. This model accurately predicts error rates and evaluates interventions for reducing medication mistakes.

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Area of Science:

  • Human Factors
  • Medication Safety
  • Cognitive Psychology

Background:

  • Prescribing errors are a significant concern in healthcare, impacting patient safety and treatment efficacy.
  • Understanding the multifactorial nature of prescribing errors is crucial for developing effective prevention strategies.

Purpose of the Study:

  • To propose a control model of skilled performance to explain the occurrence of prescribing errors.
  • To quantitatively and qualitatively validate the model against existing research on prescribing error rates.

Main Methods:

  • Developed a control model of skilled performance incorporating factors like skill level, system design, prescription diversity, and time constraints.
  • Adjusted model parameters to match quantitative error rates from empirical studies.
  • Assessed qualitative consistency with findings on increased errors due to distractions and workload.

Main Results:

  • The model's error rates were quantitatively equivalent to those observed in studies of prescribing error incidence.
  • The model demonstrated qualitative consistency with research showing increased prescribing errors under higher distraction and workload conditions.
  • The model provides a framework for predicting the impact of various error prevention interventions.

Conclusions:

  • The proposed control model offers a robust framework for understanding the determinants of prescribing errors.
  • The model's ability to quantitatively and qualitatively align with empirical data supports its utility.
  • This model can guide the development and evaluation of targeted interventions to enhance medication safety.

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