Experiment planning and deviations
Defining Team Performance for Simulation-based Training: Methodology, Metrics, and Opportunities for Emergency Medicine
1) proposes a scientifically based methodology for SBT design and evaluation, 2) reviews existing team performance metrics in health care along with recommendations, and 3) focuses on leadership as a target for SBT because it has a high likelihood to improve many team processes and ultimately performance
Emergency transportation network design problem: Identification and evaluation of disaster response routes
The network preparation part includes three main stages: determination ofnode and links (step 1), creation of connector (supplementary) links (step 2), and determination of emergency trip sets (step 3). The optimization part includes: initialization (step 4) and development of the (three-objective) ETNDP model (step 5)
an planning team was established to develop the training and exercise plan as well as set overarching training and exercise program objectivesThe multi-year effort utilized a variety workshops, seminars, webinars, tabletops, functional exercises, and culminated with a full-scale exercise testing hospital evacuation
Cross-sectional survey where the Disaster Preparedness Evaluation Tool (DPET) was distributed to Jordanian RNs who work in three randomly selected Ministry of Health hospitals and two university hospitals.
Monte Carlo sampling algorithm to estimate the measures under interest for the computationally difficult case of independent link failures for purposes of comparison.
Simulation development safegress
Managing the inconceivable: participatory assessments of impacts and responses to extreme climate change
Workshop phase divided in 4 main steps:Briefing of objectivesScenario sessionsDebriefing (reflection)Evaluation
•pretest questionnaire•main questionnaire
Emergency nurses and disaster response: An exploration of South Australian emergency nurses’ knowledge and perceptions of their roles in disaster response.
A mixed method approach underpins this study. Both quantitative and qualitative data was collected through a self report questionnaire.The questionnaire incorporated five main areas of questioning; demographics, knowledge, awareness, previous disaster response experience and roles of nurses in disasters.
Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services.
we utilize the cloud computing and volunteer computing technologies and propose a spatiotemporal performance model that provides more accurate performance evaluations to users from different regions at different times.