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The Precise Observation System for the Safe Use of Medicines (POSSUM): An Approach for Studying Medication
Johanna I Westbrook1, Magdalena Z Raban1, Elin C Lehnbom2
1Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Abstract:
Medication administration errors (MAEs) in hospital are frequent and significantly more likely to result in serious harm to patients than other medication error types. Many interventions have been proposed in order reduce MAEs and the amount of harm associated with these errors. A major limitation in assessing the effectiveness of these interventions has been the lack of robust measures for assessing changes in MAEs and associated harms. Drawing upon extensive foundational research we have developed a robust approach and data collection software to be applied in direct observational studies of nurses to allow measurement of changes in MAE rates. We report how this approach is being applied in a large stepped-wedge cluster randomised controlled trial to assess the effectiveness of an electronic medication management system to reduce MAEs in a paediatric hospital.
Insights
Medication administration errors (MAEs) are common in hospitals and can cause serious patient harm. This study introduces a new method to accurately measure MAEs, aiding in the evaluation of interventions like electronic medication systems.
Area of Science:
- Healthcare quality and safety
- Clinical nursing research
- Health informatics
Background:
- Medication administration errors (MAEs) frequently occur in hospitals, posing significant risks of serious patient harm.
- Existing methods for assessing interventions to reduce MAEs lack robustness, hindering effective evaluation.
- A critical need exists for reliable measures to quantify changes in MAE rates and associated patient harm.
Purpose of the Study:
- To introduce a robust approach and data collection software for direct observational studies of nurses.
- To enable accurate measurement of changes in medication administration error rates.
- To assess the effectiveness of an electronic medication management system in reducing MAEs within a pediatric hospital setting.
Main Methods:
- Development of a novel, robust approach and data collection software for direct observational studies.
- Application of the developed methodology in a large-scale, stepped-wedge cluster randomized controlled trial.
- Focus on direct observation of nursing practices to capture medication administration errors.
Main Results:
- The study reports the application of a new measurement approach in a real-world clinical trial.
- The methodology allows for robust assessment of changes in medication administration error rates.
- Effectiveness of an electronic medication management system is being evaluated in a pediatric hospital.
Conclusions:
- A validated approach and software are now available for measuring medication administration errors in observational studies.
- This methodology facilitates rigorous evaluation of interventions aimed at reducing MAEs.
- The ongoing trial will provide crucial data on the impact of electronic medication management systems on patient safety.
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