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Measuring the Masses: A Proposed Template for Post-Event Medical Reporting (Paper 4)

Published online by Cambridge University Press:  19 February 2021

Sheila Turris ,
Haddon Rabb Open the ORCID record for Haddon Rabb [Opens in a new window] ,
Elizabeth Chasmar ,
Matthew Brendan Munn ,
Christopher W. Callaghan ,
Alison Hutton Open the ORCID record for Alison Hutton [Opens in a new window] ,
Jamie Ranse  and
Adam Lund
Sheila Turris*
Affiliation:
Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada
Haddon Rabb
Affiliation:
Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada
Elizabeth Chasmar
Affiliation:
Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada
Matthew Brendan Munn
Affiliation:
Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada
Christopher W. Callaghan
Affiliation:
Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada
Alison Hutton
Affiliation:
University of Newcastle, Newcastle, Australia
Jamie Ranse
Affiliation:
Department of Emergency Medicine, Gold Coast Health, Southport, Queensland, Australia Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
Adam Lund
Affiliation:
Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada Mass Gathering Medicine Interest Group, Department of Emergency Medicine, University of British Columbia, Canada School of Nursing, University of British Columbia, Vancouver, British Columbia, Canada
*
Correspondence: Sheila Turris, RN, BHSc, MSN, PhD, Mass Gathering Medicine Interest Group, University of British Columbia, Vancouver, British Columbia, Canada, E-mail: Sheila.turris@ubc.ca
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Abstract

Background:

Standardizing and systematizing the reporting of health outcomes from mass gatherings (MGs) will improve the quality of data being reported. Setting minimum standards for case reporting is an important strategy for improving data quality. This paper is one of a series of papers focused on understanding the current state, and shaping the future state, of post-event case reporting.

Methods:

Multiple data sources were used in creating a lean, yet comprehensive list of essential reporting fields, including a: (1) literature synthesis drawn from analysis of 54 post-event case reports; (2) comparison of existing data models for MGs; (3) qualitative analysis of gaps in current case reports; and (4) set of data domains developed based on the preceding sources.

Findings:

Existing literature fails to consistently report variables that may be essential for not only describing the health outcomes of a given event, but also for explaining those outcomes. In the context of current and future state reporting, 25 essential variables were identified. The essential variables were organized according to four domains, including: (i) Event Domain; (ii) Hazard and Risk Domain; (iii) Capacity Domain; and (iv) Clinical Domain.

Discussion:

The authors propose a first-generation template for post-event medical reporting. This template standardizes the reporting of 25 essential variables. An accompanying data dictionary provides background and standardization for each of the essential variables. Of note, this template is lean and will develop over time, with input from the international MG community. In the future, additional groups of variables may be helpful as “overlays,” depending on the event category and type.

Conclusions:

This paper presents a template for post-event medical reporting. It is hoped that consistent reporting of essential variables will improve both data collection and the ability to make comparisons between events so that the science underpinning MG health can continue to advance.

Keywords

case reportingdata modelingmass gatheringmass-gathering healthmass-gathering medicine

Information

Type
Special Report
Information
Prehospital and Disaster Medicine , Volume 36 , Issue 2 , April 2021 , pp. 218 - 226
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

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