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Breaking the Code: Considerations for Effectively Disseminating Mass Notifications in Healthcare Settings
Curt Harris1, James Zerylnick1, Kelli McCarthy1
1Institute for Disaster Management, College of Public Health, University of Georgia, Athens, GA 30602, USA.
Healthcare emergency codes are poorly understood by staff, with only 44% accuracy. Plain language alerts could improve emergency response and safety for staff and patients.
Area of Science:
- Healthcare Management
- Emergency Preparedness
- Occupational Health
Background:
- Healthcare facilities commonly use code-based alert systems for emergency notifications.
- Effective emergency code identification is crucial for timely and appropriate staff response.
- Previous research has not comprehensively assessed code identification accuracy and staff perceptions in Georgia.
Purpose of the Study:
- To evaluate clinical and non-clinical employees' accuracy in identifying emergency codes.
- To assess healthcare professionals' opinions on current emergency alert systems.
- To identify factors influencing emergency code identification accuracy.
Main Methods:
- Anonymous electronic surveys administered to 304 employees across five healthcare facilities in Georgia.
- Participants were asked to identify codes for 14 different emergency scenarios.
- Statistical analysis was used to determine accuracy rates and significant predictors.
Main Results:
- Average correct identification accuracy for emergency codes was 44.37%.
- Codes for fire, infant abduction, and cardiac arrest were most accurately identified.
- Training during orientation, knowledge of activation procedures, facility experience, and career history were significant predictors of accuracy.
Conclusions:
- Low emergency code identification accuracy indicates a potential gap in staff awareness of facility emergencies.
- Despite low accuracy, most participants preferred code-based systems over plain language due to concerns about patient panic and confidentiality.
- Transitioning to plain language emergency alerts may enhance response effectiveness for all individuals within healthcare facilities.
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