Using a Logic Model to Enable and Evaluate Long-Term Outcomes of a Mass Casualty Training Program: A Single Center Case Study. (28th June 2022)
- Record Type:
- Journal Article
- Title:
- Using a Logic Model to Enable and Evaluate Long-Term Outcomes of a Mass Casualty Training Program: A Single Center Case Study. (28th June 2022)
- Main Title:
- Using a Logic Model to Enable and Evaluate Long-Term Outcomes of a Mass Casualty Training Program: A Single Center Case Study
- Authors:
- Dadario, Nicholas B
Bellido, Simon
Restivo, Andrew
Kulkarni, Miriam
Singh, Maninder
Yoon, Andrew
Shapiro, Jared
Quintero, Frank
Tagami, Tianna
Yang, Christina J
Jafri, Farrukh N - Abstract:
- Abstract: Purpose: Global health disasters are on the rise and can occur at any time with little advance warning, necessitating preparation. The authors created a comprehensive evidence-based Emergency Preparedness Training Program focused on long-term retention and sustained learner engagement. Method: A prospective observational study was conducted of a simulation-based mass casualty event training program designed using an outcomes-based logic model. A total of 25 frontline healthcare workers from multiple hospital sites in the New York metropolitan area participated in an 8-hour immersive workshop. Data was collected from assessments, and surveys provided to participants 3 weeks prior to the workshop, immediately following the workshop, and 3 months after completion of the workshop. Results: The mean percentage of total knowledge scores improved across pre-workshop, post-workshop and retention (3 months post-workshop) assessments (53.2% vs. 64.8% vs. 67.6%, P < 0.05). Average comfort scores in the core MCI competencies increased across pre-workshop, post-workshop and retention self-assessments ( P < 0.01). Of the participants assessed at 3 months retention (n = 14, 56%), 50.0% (n = 7) assisted in updating their hospital's emergency operations plan and 50.0% (n = 7) pursued further self-directed learning in disaster preparedness medicine. Conclusions: The use of the logic model provided a transparent framework for the design, implementation, and evaluation of aAbstract: Purpose: Global health disasters are on the rise and can occur at any time with little advance warning, necessitating preparation. The authors created a comprehensive evidence-based Emergency Preparedness Training Program focused on long-term retention and sustained learner engagement. Method: A prospective observational study was conducted of a simulation-based mass casualty event training program designed using an outcomes-based logic model. A total of 25 frontline healthcare workers from multiple hospital sites in the New York metropolitan area participated in an 8-hour immersive workshop. Data was collected from assessments, and surveys provided to participants 3 weeks prior to the workshop, immediately following the workshop, and 3 months after completion of the workshop. Results: The mean percentage of total knowledge scores improved across pre-workshop, post-workshop and retention (3 months post-workshop) assessments (53.2% vs. 64.8% vs. 67.6%, P < 0.05). Average comfort scores in the core MCI competencies increased across pre-workshop, post-workshop and retention self-assessments ( P < 0.01). Of the participants assessed at 3 months retention (n = 14, 56%), 50.0% (n = 7) assisted in updating their hospital's emergency operations plan and 50.0% (n = 7) pursued further self-directed learning in disaster preparedness medicine. Conclusions: The use of the logic model provided a transparent framework for the design, implementation, and evaluation of a competency-based EPT program at a single academic center. … (more)
- Is Part Of:
- Disaster medicine and public health preparedness. Volume 16:Number 3(2022)
- Journal:
- Disaster medicine and public health preparedness
- Issue:
- Volume 16:Number 3(2022)
- Issue Display:
- Volume 16, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 3
- Issue Sort Value:
- 2022-0016-0003-0000
- Page Start:
- 1116
- Page End:
- 1122
- Publication Date:
- 2022-06-28
- Subjects:
- mass casualty incidents -- medical simulation -- emergency preparedness -- emergency medicine -- logic model
Disaster medicine -- Periodicals
Emergency management -- Planning -- Periodicals
Public health -- Periodicals
363.34 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=DMP ↗
http://www.dmphp.org ↗ - DOI:
- 10.1017/dmp.2021.66 ↗
- Languages:
- English
- ISSNs:
- 1935-7893
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22086.xml