Using a Logic Model to Enable and Evaluate Long-Term Outcomes of a Mass Casualty Training Program: A Single Center Case Study

Nicholas B. Dadario, Simon Bellido, Andrew Restivo, Miriam Kulkarni, Maninder Singh, Andrew Yoon, Jared Shapiro, Frank Quintero, Tianna Tagami, Christina J. Yang, Farrukh N. Jafri

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1116-1122
Number of pages7
JournalDisaster Medicine and Public Health Preparedness
Issue number3
StatePublished - Jun 1 2022


  • emergency medicine
  • emergency preparedness
  • logic model
  • mass casualty incidents
  • medical simulation

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health


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