Measuring the Masses: Mass-Gathering Medical Case Reporting, Conceptual Modeling - The DREAM Model (Paper 5)

Area of Science:

• Public Health
• Emergency Medicine
• Health Services Research

Background:

• Current medical services at mass gatherings (MGs) lack a strong evidence base, leading to variable care standards.
• Standardized post-event reporting is crucial for improving comparability, event safety, and planning in MG medicine.
• Developing a robust conceptual model is essential for understanding MG health outcomes.

Purpose of the Study:

• To present an evolving conceptual model for theory building in mass gathering health outcomes.
• To lay the groundwork for exploring relationships between variables affecting MG health.
• To propose a standardized framework for post-event medical reporting.

Main Methods:

• Content analysis of 54 published post-event medical case reports from mass gatherings.
• Comparison of features within existing published data models for MG health outcomes.

Main Results:

• Introduction of the Data Reporting, Evaluation, & Analysis for Mass-Gathering Medicine (DREAM) model.
• The DREAM model is a layered, relational framework organizing data into "inputs," "modifiers," "actuals," and "outputs."
• Data domains are organized temporally across pre-event, during-event, post-event, and reporting phases.

Conclusions:

• The DREAM model offers a structured approach to mass gathering medical data collection and analysis.
• This model addresses the current lack of robust conceptual frameworks in MG health outcome research.
• The paper contributes to a series focused on advancing post-event medical reporting standards.