Related Experiment Video
Updated: Jan 25, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
Published on: May 10, 2016
Standardising the Classification of Harm Associated with Medication Errors: The Harm Associated with Medication Error
Peter J Gates1, Melissa T Baysari2, Virginia Mumford2
1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia. Peter.gates@mq.edu.au.
Classifying medication error harm is challenging due to varied methods. This study introduces the Harm Associated with Medication Error Classification (HAMEC) tool for standardized, reproducible harm assessment.
Area of Science:
- Health Sciences
- Patient Safety
- Clinical Research Methodology
Background:
- Classifying patient harm from medication errors is complex and lacks standardization.
- Existing harm assessment tools vary widely and often lack reliability and validity data.
- Previous studies often fail to specify if actual or potential harm was assessed, hindering comparability.
Purpose of the Study:
- To systematically synthesize existing harm classification tools for medication errors.
- To develop a novel, standardized tool, the Harm Associated with Medication Error Classification (HAMEC), for consistent harm assessment.
- To provide a reproducible methodology for classifying medication-related patient harm in clinical and research settings.
Main Methods:
- A systematic review and synthesis of existing medication error harm classification tools.
- Development of the Harm Associated with Medication Error Classification (HAMEC) tool.
- Inclusion of explicit application processes and guiding descriptors to enhance usability and reduce misclassification.
Main Results:
- The Harm Associated with Medication Error Classification (HAMEC) tool was derived through a systematic synthesis of existing methods.
- HAMEC offers a standardized approach to classifying patient harm from medication errors.
- The tool includes clear descriptors and an explicit application process to ensure consistency and comparability across studies.
Conclusions:
- The Harm Associated with Medication Error Classification (HAMEC) tool addresses the need for standardized, reproducible harm assessment in medication safety.
- HAMEC is designed for use in both clinical practice and research, supporting efforts to measure and reduce medication-related harm.
- This standardized tool is crucial for advancing the World Health Organization's goal of reducing global medication-related harm.
Related Concept Videos
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Fundamental Attribution Error
Random Error
Margin of Error
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Standard Error of the Mean
The standard error of the mean is an example of a standard error. It is a unique standard deviation known as the standard deviation of the sampling distribution of the mean. The standard error of the mean is a statistic that calculates how correctly a sample distribution represents a...

