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Published on: August 9, 2016
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Healthcare Professionals' Electroencephalography Competency: A Disconnect Between Self-Assessment and Objective
Summary
Healthcare professionals demonstrate high electroencephalography (EEG) competence, with both self-assessments and knowledge tests indicating strong skills. Further development of EEG competence assessment tools is recommended for enhanced training.
Area of Science:
- Neuroscience
- Medical Education
Background:
- High-quality electroencephalography (EEG) relies on competent healthcare professionals (HCPs).
- Understanding HCPs' subjective and objective EEG competence is crucial for targeted education and training development.
Purpose of the Study:
- To analyze healthcare professionals' subjectively and objectively assessed electroencephalography (EEG) competence.
- To identify competence needs for developing future EEG education and training programs.
Main Methods:
- A descriptive cross-sectional study was conducted with HCPs in Finnish university hospital clinical neurophysiology departments.
- The EEG Competence instrument, comprising self-assessment and knowledge test components, was utilized for data collection.
- Participants included 34 registered nurses and 31 laboratory technologists (N=65, 81% response rate).
Main Results:
- Self-assessment scores were highest for patient observation (mean 4.6) and lowest for EEG theoretical knowledge (mean 3.9).
- In the knowledge test, 73.8% of respondents answered all questions correctly.
- Positive correlations were found between age, work experience, job satisfaction, and self-assessed EEG competence. Familiarity with EEG guidelines, training, and independent study of EEG literature correlated with better performance.
Conclusions:
- Registered nurses and laboratory technologists exhibit high levels of subjectively and objectively assessed EEG competence.
- Further refinement of the EEG competence instrument and psychometric validation are necessary.
- Additional research is required to comprehensively assess HCP competence in the EEG diagnostic process.

