Emergency department visits during the 4/20 cannabis celebration.

BACKGROUND: Annual '4/20' cannabis festivals occur around the world on April 20 and often feature synchronised consumption of cannabis at 4:20 pm. The relationship between these events and demand for emergency medical services has not been systematically studied. METHODS: We conducted a population-based retrospective cohort study in Vancouver, Canada, using 10 consecutive years of data (2009-2018) from six regional hospitals. The number of emergency department (ED) visits between 4:20 pm and 11:59 pm on April 20 were compared with the number of visits during identical time intervals on control days 1 week earlier and 1 week later (ie, April 13 and April 27) using negative binomial regression. RESULTS: A total of 3468 ED visits occurred on April 20 and 6524 ED visits occurred on control days. A non-significant increase in all-cause ED visits was observed on April 20 (adjusted relative risk: 1.06; 95% CI 1.00 to 1.12). April 20 was associated with a significant increase in ED visits among prespecified subgroups including a 5-fold increase in visits for substance misuse and a 10-fold increase in visits for intoxication. The hospital closest to the festival site experienced a clinically and statistically significant 17% (95% CI 5.1% to 29.6%) relative increase in ED visits on April 20 compared with control days. INTERPRETATION: Substance use at annual '4/20' festivals may be associated with an increase in ED visits among key subgroups and at nearby hospitals. These findings may inform harm reduction initiatives and festival medical care service planning.

Process and findings informing the development of a provincial emergency medicine network.

We describe the process undertaken to inform the development of the recently launched British Columbia (BC) Emergency Medicine Network (EM Network). Five methods were undertaken: (1) a scoping literature review, (2) a survey of BC emergency practitioners and EM residents, (3) key informant interviews, (4) focus groups in sites across BC, and (5) establishment of a brand identity. There were 208 survey respondents: 84% reported consulting Internet resources once or more per emergency department shift; however, 26% reported feeling neutral, somewhat unsatisfied, or very unsatisfied with searching for information on the Internet to support their practice. Enthusiasm was expressed for envisioned EM Network resources, and the key informant interviews and focus group results helped identify and refine key desired components of the EM Network. In describing this, we provide guidance and lessons learned for health leaders and others who aspire to establish similar clinical networks, whether in EM or other medical disciplines.

Patient Presentations and Medical Logistics at Full and Half Ironman Distance Triathlons.

We describe logistical challenges, illness/injury rates, as well as medical and ambulance transfer rates (ATR) at an annual large-scale half/full triathlon in a remote location. Prospective observational study; registry data. Data on patient presentation rates, percentage of patients transferred by ambulance, transfer to hospital rates (TTHR), ATR, and medical usage rates were collected and analyzed. In total, 1923 athletes participated in the 2016 triathlon (1404 in the full-length race and 519 in the half) and 181 patient encounters were documented. The patient presentation rate (PPR) was 94 in 1000 patients, and 1.6% of patients seen onsite required offsite medical care. TTHR and ATR were 1.6 in 1000 and 0.5 in 1000, respectively. Gastrointestinal issues were the most common presentation (50/181; 27.6%), followed by musculoskeletal injury (46/181; 25.4%) and nonspecific dizziness (37/181; 20.4%). The incorporation of a coordinated event medical plan and team, with integrated on-course and at-finish coverage, may have minimized presentations of patients to local health care services; therefore, decreasing the effect on the local ambulance service and health infrastructure of the host community.

Mass-gathering Medicine: Risks and Patient Presentations at a 2-Day Electronic Dance Music Event.

INTRODUCTION: Music festivals, including electronic dance music events (EDMEs), increasingly are common in Canada and internationally. Part of a US $4.5 billion industry annually, the target audience is youth and young adults aged 15-25 years. Little is known about the impact of these events on local emergency departments (EDs). METHODS: Drawing on prospective data over a 2-day EDME, the authors of this study employed mixed methods to describe the case mix and prospectively compared patient presentation rate (PPR) and ambulance transfer rate (ATR) between a first aid (FA) only and a higher level of care (HLC) model. RESULTS: There were 20,301 ticketed attendees. Seventy patient encounters were recorded over two days. The average age was 19.1 years. Roughly 69% were female (n=48/70). Forty-six percent of those seen in the main medical area were under the age of 19 years (n=32/70). The average length of stay in the main medical area was 70.8 minutes. The overall PPR was 4.09 per 1,000 attendees. The ATR with FA only would have been 1.98; ATR with HLC model was 0.52. The presence of an on-site HLC team had a significant positive effect on avoiding ambulance transfers. DISCUSSION: Twenty-nine ambulance transfers and ED visits were avoided by the presence of an on-site HLC medical team. Reduction of impact to the public health care system was substantial. CONCLUSIONS: Electronic dance music events have predictable risks and patient presentations, and appropriate on-site health care resources may reduce significantly the impact on the prehospital and emergency health resources in the host community.

On-site management of medical encounters during obstacle adventure course participation.

Obstacle adventure courses (OAC) are increasing in popularity. Although injuries are not uncommon, there is scant medical literature documenting the morbidity and mortality associated with these events. This manuscript describes a case series. Event demographics, medical coverage, and injuries/illnesses documented during four OAC events in British Columbia, Canada, are discussed - Tough Mudder™ (2012 and 2013) and Warrior Dash© (2011 and 2012). The patient presentation rate across all events ranged from 26.53 to 37.40 per 1,000 participants. Ambulance transfer rates were low (range = 0 to 5 per event day, 0% to 1.1% of patients seen). Although some illness presentations and injuries required a higher level of care, the majority of medical issues were related to musculoskeletal injuries of the lower limbs. Advanced knowledge about risks and patient presentations associated with participation in OAC may influence on-site staffing, deployment patterns, rescue equipment, and transfer to hospital planning for diagnostic imaging and definitive treatment.

Enhancing the minimum data set for mass-gathering research and evaluation: an integrative literature review.

INTRODUCTION: In 2012, a minimum data set (MDS) was proposed to enable the standardized collection of biomedical data across various mass gatherings. However, the existing 2012 MDS could be enhanced to allow for its uptake and usability in the international context. The 2012 MDS is arguably Australian-centric and not substantially informed by the literature. As such, an MDS with contributions from the literature and application in the international settings is required. METHODS: This research used an integrative literature review design. Manuscripts were collected using keyword searches from databases and journal content pages from 2003 through 2013. Data were analyzed and categorized using the existing 2012 MDS as a framework. RESULTS: In total, 19 manuscripts were identified that met the inclusion criteria. Variation in the patient presentation types was described in the literature from the mass-gathering papers reviewed. Patient presentation types identified in the literature review were compared to the 2012 MDS. As a result, 16 high-level patient presentation types were identified that were not included in the 2012 MDS. CONCLUSION: Adding patient presentation types to the 2012 MDS ensures that the collection of biomedical data for mass-gathering health research and evaluation remains contemporary and comprehensive. This review proposes the addition of 16 high-level patient presentation categories to the 2012 MDS in the following broad areas: gastrointestinal, obstetrics and gynecology, minor illness, mental health, and patient outcomes. Additionally, a section for self-treatment has been added, which was previously not included in the 2012 MDS, but was widely reported in the literature.

Mass-gathering health research foundational theory: part 2 - event modeling for mass gatherings.

BACKGROUND: Current knowledge about mass-gathering health (MGH) fails to adequately inform the understanding of mass gatherings (MGs) because of a relative lack of theory development and adequate conceptual analysis. This report describes the development of a series of event lenses that serve as a beginning "MG event model," complimenting the "MG population model" reported elsewhere. METHODS: Existing descriptions of "MGs" were considered. Analyzing gaps in current knowledge, the authors sought to delineate the population of events being reported. Employing a consensus approach, the authors strove to capture the diversity, range, and scope of MG events, identifying common variables that might assist researchers in determining when events are similar and might be compared. Through face-to-face group meetings, structured breakout sessions, asynchronous collaboration, and virtual international meetings, a conceptual approach to classifying and describing events evolved in an iterative fashion. Findings Embedded within existing literature are a variety of approaches to event classification and description. Arising from these approaches, the authors discuss the interplay between event demographics, event dynamics, and event design. Specifically, the report details current understandings about event types, geography, scale, temporality, crowd dynamics, medical support, protective factors, and special hazards. A series of tables are presented to model the different analytic lenses that might be employed in understanding the context of MG events. Interpretation The development of an event model addresses a gap in the current body of knowledge vis a vis understanding and reporting the full scope of the health effects related to MGs. Consistent use of a consensus-based event model will support more rigorous data collection. This in turn will support meta-analysis, create a foundation for risk assessment, allow for the pooling of data for illness and injury prediction, and support methodology for evaluating health promotion, harm reduction, and clinical response interventions at MGs.

Mass-gathering health research foundational theory: part 1 - population models for mass gatherings.

BACKGROUND: The science underpinning the study of mass-gathering health (MGH) is developing rapidly. Current knowledge fails to adequately inform the understanding of the science of mass gatherings (MGs) because of the lack of theory development and adequate conceptual analysis. Defining populations of interest in the context of MGs is required to permit meaningful comparison and meta-analysis between events. Process A critique of existing definitions and descriptions of MGs was undertaken. Analyzing gaps in current knowledge, the authors sought to delineate the populations affected by MGs, employing a consensus approach to formulating a population model. The proposed conceptual model evolved through face-to-face group meetings, structured break out sessions, asynchronous collaboration, and virtual international meetings. Findings and Interpretation Reporting on the incidence of health conditions at specific MGs, and comparing those rates between and across events, requires a common understanding of the denominators, or the total populations in question. There are many, nested populations to consider within a MG, such as the population of patients, the population of medical services providers, the population of attendees/audience/participants, the crew, contractors, staff, and volunteers, as well as the population of the host community affected by, but not necessarily attending, the event. A pictorial representation of a basic population model was generated, followed by a more complex representation, capturing a global-health perspective, as well as academically- and operationally-relevant divisions in MG populations. CONCLUSIONS: Consistent definitions of MG populations will support more rigorous data collection. This, in turn, will support meta-analysis and pooling of data sources internationally, creating a foundation for risk assessment as well as illness and injury prediction modeling. Ultimately, more rigorous data collection will support methodology for evaluating health promotion, harm reduction, and clinical-response interventions at MGs. Delineating MG populations progresses the current body of knowledge of MGs and informs the understanding of the full scope of their health effects.

An analysis of patient presentations at a 2-day mass-participation cycling event: the Ride to Conquer Cancer Case Series, 2010-2012.

OBJECTIVE: To analyze the unique factors involved in providing medical support for a long-distance, cross-border, cycling event, and to describe patient presentations and event characteristics for the British Columbia (BC) Ride to Conquer Cancer from 2010 through 2012. METHODS: This study was a 3-year, descriptive case series report. Medical encounters were documented, prospectively, from 2010-2012 using an online registry. Data for event-related variables also were reported. RESULTS: Providing medical support for participants during the 2-day ride was complicated by communication challenges, weather conditions, and cross-border issues. The total number of participants for the ride increased from 2,252 in 2010 to 2,879 in 2011, and 3,011 in 2012. Patient presentation rates (PPRs) of 125.66, 155.26, and 198.93 (per 1,000 participants) were documented from 2010 through 2012. Over the course of three years, and not included in the PPR, an additional 3,840 encounters for "self-treatment" were documented. CONCLUSIONS: The Ride to Conquer Cancer Series has shown that medical coverage at multi-day, cross-national cycling events must be planned carefully to face a unique set of circumstances, including legislative issues, long-distance communication capabilities, and highly mobile participants. This combination of factors leads to potentially higher PPRs than have been reported for noncycling events. This study also illuminates the additional workload "self-treatment" visits place on the medical team.

An organized medical response for the Vancouver International Marathon (2006-2011): when the rubber hits the road.

OBJECTIVE: We described an organized, on-site medical response for a large-scale urban marathon event and documented illness/injury rates as well as ambulance transfer rates at the Vancouver International Marathon (VIM). METHODS: Case-series report of medical encounters was documented prospectively over a 6-yr period at the VIM. The planning and organization of the on-site medical response is the main focus of this report. RESULTS: A total of 67,402 runners participated in the VIM from 2006 to 2011. Over the 6-yr period, 2,986 patient encounters were documented. The patient presentation rate for the series was 45/1,000, the ambulance transfer rate was 0.09-0.58/1,000, and the medical transfer rate was 0.37-1.09/1,000. CONCLUSION: A coordinated on-site medical team covering the entire event site and race route was deployed to reduce the severity of illness and injury at a long-distance running event.

Mass Gathering Event Medical Preparedness and Response: A Review of Canadian Legislation and Guidelines.

INTRODUCTION: The mass gathering event (MGE) industry is growing globally, including in countries such as Canada. MGEs have been associated with a greater prevalence of injury and illness when compared with daily life events, despite most participants having few comorbidities. As such, adequate health, safety, and emergency medical planning is required. However, there is no single entity regulating these concerns for MGEs, resulting in the responsibility for health planning lying with event organizers. This study aims to compare the legislative requirements for MGE medical response systems in the 13 provinces and territories of Canada. METHODS: This study is a cross-sectional descriptive analysis of Canadian legislation. Lists of publicly available legislative requirements were obtained by means of the emergency medical services directors and Health Ministries. Descriptive statistics were performed to compare legislation. RESULTS: Of the 13 provinces and territories, 10 responded. For the missing 3, a law library review confirmed the absence of specific legislation. Most (n = 6; 60%) provinces and territories referred to provisions in their Public Health laws. Four confirmed that MGE medical response was a municipal or local concern to be addressed by the event organizers. CONCLUSIONS: No provinces could list specific legislation guiding safety, health, and medical response for an MGE.

Text messaging as a strategy to address the limits of audio-based communication during mass-gathering events with high ambient noise.

INTRODUCTION: The provision of medical care in environments with high levels of ambient noise (HLAN), such as concerts or sporting events, presents unique communication challenges. Audio transmissions can be incomprehensible to the receivers. Text-based communications may be a valuable primary and/or secondary means of communication in this type of setting. OBJECTIVES: To evaluate the usability of text-based communications in parallel with standard two-way radio communications during mass-gathering (MG) events in the context of HLAN. METHODS: This Canadian study used outcome survey methods to evaluate the performance of communication devices during MG events. Ten standard commercially available handheld smart phones loaded with basic voice and data plans were assigned to health care providers (HCPs) for use as an adjunct to the medical team's typical radio-based communication. Common text messaging and chat platforms were trialed. Both efficacy and provider satisfaction were evaluated. RESULTS: During a 23-month period, the smart phones were deployed at 17 events with HLAN for a total of 40 event days or approximately 460 hours of active use. Survey responses from health care providers (177) and dispatchers (26) were analyzed. The response rate was unknown due to the method of recruitment. Of the 155 HCP responses to the question measuring difficulty of communication in environments with HLAN, 68.4% agreed that they "occasionally" or "frequently" found it difficult to clearly understand voice communications via two-way radio. Similarly, of the 23 dispatcher responses to the same item, 65.2% of the responses indicated that "occasionally" or "frequently" HLAN negatively affected the ability to communicate clearly with team members. Of the 168 HCP responses to the item assessing whether text-based communication improved the ability to understand and respond to calls when compared to radio alone, 86.3% "agreed" or "strongly agreed" that this was the case. The dispatcher responses (n = 21) to the same item also "agreed" or "strongly agreed" that this was the case 95.5% of the time. CONCLUSION The use of smart phone technology for text-based communications is a practical and feasible tool for MG events and should be explored further. Multiple, reliable, discrete forms of communication technology are pivotal to executing effective on-site medical and disaster responses.

Triage during mass gatherings.

Triage is a complex process and is one means for determining which patients most need access to limited resources. Triage has been studied extensively, particularly in relation to triage in overcrowded emergency departments, where individuals presenting for treatment often are competing for the available stretchers. Research also has been done in relation to the use of prehospital and field triage during mass-casualty incidents and disasters. In contrast, scant research has been done to develop and test an effective triage approach for use in mass-gathering and mass-participation events, although there is a growing body of knowledge regarding the health needs of persons attending large events. Existing triage and acuity scoring systems are suboptimal for this unique population, as these events can involve high patient presentation rates (PPR) and, occasionally, critically ill patients. Mass-gathering events are dangerous; a higher incidence of injury occurs than would be expected from general population statistics. The need for an effective triage and acuity scoring system for use during mass gatherings is clear, as these events not only create multiple patient encounters, but also have the potential to become mass-casualty incidents. Furthermore, triage during a large-scale disaster or mass-casualty incident requires that multiple, local agencies work together, necessitating a common language for triage and acuity scoring. In reviewing existing literature with regard to triage systems that might be employed for this population, it is noted that existing systems are biased toward traumatic injuries, usually ignoring mitigating factors such as alcohol and drug use and environmental exposures. Moreover, there is a substantial amount of over-triage that occurs with existing prehospital triage systems, which may lead to misallocation of limited resources. This manuscript presents a review of the available literature and proposes a triage system for use during mass gatherings that also may be used in the setting of mass-casualty incidents or disaster responses.

Mass-gathering medicine: creation of an online event and patient registry.

UNLABELLED: INTRODUCTION/PROBLEM: A review of the mass-gathering medicine literature confirms that the research community currently lacks a standardized approach to data collection and reporting in relation to large-scale community events. This lack of consistency, particularly with regard to event characteristics, patient characteristics, acuity determination, and reporting of illness and injury rates makes comparisons between and across events difficult. In addition, a lack of access to good data across events makes planning medical support on-site, for transport, and at receiving hospitals, challenging. This report describes the development of an Internet-hosted, secure registry for event and patient data in relation to mass gatherings. METHODS: Descriptive; development and pilot testing of a Web-based event and patient registry. RESULTS: Several iterations of the registry have resulted in a cross-event platform for standardized data collection at a variety of events. Registry and reporting field descriptions, successes, and challenges are discussed based on pilot testing and early implementation over two years of event enrollment. CONCLUSION: The Mass-Gathering Medicine Event and Patient Registry provides an effective tool for recording and reporting both event and patient-related variables in the context of mass-gathering events. Standardizing data collection will serve researchers and policy makers well. The structure of the database permits numerous queries to be written to generate standardized reports of similar and dissimilar events, which supports hypothesis generation and the development of theoretical foundations in mass-gathering medicine.

Medical support for the 2009 World Police and Fire Games: a descriptive analysis of a large-scale participation event and its impact.

INTRODUCTION: In the summer of 2009, British Columbia hosted the World Police and Fire Games (WPFG). The event brought together 10,599 athletes from 55 countries. In this descriptive, Canadian study, the composition of the medical team is analyzed, the unique challenges faced are discussed, and an analysis of the illness and injury rates is presented. This event occurred during a labor dispute affecting the sole provider of emergency ambulance service in the jurisdiction, which necessitated additional planning and resource allocation. As such, the context of this event as it relates to the literature on mass gathering medicine is discussed with a focus on how large-scale public events can impact emergency services for the community. METHODS: This is a case report study. RESULTS: There were 1,462 patient encounters. The majority involved musculo-skeletal injuries (53.8%). The patient presentation rate (PPR) was 109.40/1,000. The medical transfer rate (MTR) was 2.32/1,000. The ambulance transfer rate (ATR) for the 2009 WPFG was 0.52/1,000. In total, 31 patients were transported to the hospital, the majority for diagnostic evaluation. Only seven calls were placed to 9-1-1 for emergency ambulance service. CONCLUSIONS: The 2009 WPFG was a mass-gathering sporting event that presented specific challenges in relation to medical support. Despite relatively high patient presentation rates, the widely spread geography of the event, and a reduced ability to depend on 9-1-1 emergency medical services, there was minimal impact on local emergency services. Adequate planning and preparation is crucial for events that have the potential to degrade existing public resources and access to emergency health services for participants and the public at large.

Comparison of Unmanned Aerial Vehicle Technology versus Standard Practice of Scene Assessment by Paramedic Students of a Mass-Gathering Event.

INTRODUCTION: The proliferation of unmanned aerial vehicle (UAV) technology has the potential to change the situational awareness of medical incident commanders' (ICs') scene assessment of mass gatherings. Mass gatherings occur frequently and the potential for injury at these events is considered higher than the general population. These events have generated mass-casualty incidents (MCIs) in the past. The aim of this study was to compare UAV technology to standard practice (SP) in scene assessment using paramedic students during a mass-gathering event (MGE). METHODS: This study was conducted in two phases. Phase One consisted of validation of the videos and accompanying data collection tool. Phase One was completed by 11 experienced paramedics from a provincial Emergency Medical Services (EMS) service. Phase Two was a randomized comparison with 47 paramedic students from the Holland College Paramedicine Program (Charlottetown, Prince Edward Island, Canada) of the two scene assessment systems. For Phase Two, the paramedic students were randomized into a UAV or a SP group. The data collection tool consisted of two board categories: primary importance with 20 variables and secondary importance with 25 variables. After a brief narrative, participants were either shown UAV footage or the ground footage depending on their study group. After completion of the videos, study participants completed the data collection tool. RESULTS: The Phase One validation showed good consensus in answers to most questions (average 79%; range 55%-100%). For Phase Two, a Fisher's exact test was used to compare each variable from the UAV and SP groups using a P value of .05. Phase Two demonstrated a significant difference between the SP and UAV groups in four of 20 primary variables. Additionally, significant differences were found for seven out of 25 secondary variables. CONCLUSION: This study demonstrated the accurate, safe, and feasible use of a UAV as a tool for scene assessment by paramedic students at an MGE. No observed statistical difference was noted in a majority of both primary and secondary variables using a UAV for scene assessment versus SP.

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

INTRODUCTION: Without a robust evidence base to support recommendations for first aid, health, and medical services at mass gatherings (MGs), levels of care will continue to vary. Streamlining and standardizing post-event reporting for MG medical services could improve inter-event comparability, and prospectively influence event safety and planning through the application of a research template, thereby supporting and promoting growth of the evidence base and the operational safety of this discipline. Understanding the relationships between categories of variables is key. The present paper is focused on theory building, providing an evolving conceptual model, laying the groundwork for exploring the relationships between categories of variables pertaining the health outcomes of MGs. METHODS: A content analysis of 54 published post-event medical case reports, including a comparison of the features of published data models for MG health outcomes. FINDINGS: A layered model of essential conceptual components for post-event medical reporting is presented as the Data Reporting, Evaluation, & Analysis for Mass-Gathering Medicine (DREAM) model. This model is relational and embeds data domains, organized operationally, into "inputs," "modifiers," "actuals," and "outputs" and organized temporally into pre-, during, post-event, and reporting phases. DISCUSSION: Situating the DREAM model in relation to existing models for data collection vis a vis health outcomes, the authors provide a detailed discussion on similarities and points of difference. CONCLUSION: Currently, data collection and analysis related to understanding health outcomes arising from MGs is not informed by robust conceptual models. This paper is part of a series of nested papers focused on the future state of post-event medical reporting.

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

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.

Measuring the Masses: The Current State of Mass-Gathering Medical Case Reporting (Paper 1).

INTRODUCTION: Case reports are commonly used to report the health outcomes of mass gatherings (MGs), and many published reports of MGs demonstrate substantial heterogeneity of included descriptors. As such, it is challenging to perform rigorous comparisons of health services and outcomes between similar and dissimilar events. The degree of variation in published reports has not yet been investigated. OBJECTIVE: Examine patterns of post-event medical reporting in the existing literature and identify inconsistencies in reporting. METHODS: A systematic review of case reports was conducted. Included were English studies, published between January 2009 and December 2018, in Prehospital and Disaster Medicine (PDM) or Current Sports Medicine Reports (CSMR). Analysis of each paper was used to develop a list of 27 categories of data. RESULTS: Seventy-five studies were initially reviewed with 54 publications meeting the inclusion criteria. Forty-two were full case reports (78%) and 12 were conference proceedings (22%). Of the 27 categories of data studied, only 13 were consistently reported in more than 50% of publications. Reporting patterns included inconsistent use of terminology/language and variable retrievability of reports. Reporting on event descriptors, hazard and risk analysis, and clinical outcomes were also inconsistent. DISCUSSION: Case reports are essential tools for researchers and event team members such as medical directors and event producers. The authors found that current case reports, in addition to being inconsistent in content, were generally descriptive rather than explanatory; that is, focused on describing the outcomes as opposed to exploring possible connections between context and health outcomes. CONCLUSION: This paper quantifies and demonstrates the current state of heterogeneity in MG event reporting. This heterogeneity is a significant impediment to the functional use of published reports to further the science of MG planning and to improve health outcomes. Future work based on the insights gained from this analysis will aim to align and standardize reporting to improve the quality and value of event reporting.

Measuring the Masses: Domains Driving Data Collection and Analysis for the Health Outcomes of Mass Gatherings (Paper 3).

INTRODUCTION: Without a robust evidence base to support recommendations for medical services at mass gatherings (MGs), levels of care will continue to vary and preventable morbidity and mortality will exist. Accordingly, researchers and clinicians publish case reports and case series to capture and explain some of the health interventions, health outcomes, and host community impacts of MGs. Streamlining and standardizing post-event reporting for MG medical services and associated health outcomes could improve inter-event comparability, thereby supporting and promoting growth of the evidence base for this discipline. The present paper is focused on theory building, proposing a set of domains for data that may support increasingly comprehensive, yet lean, reporting on the health outcomes of MGs. This paper is paired with another presenting a proposal for a post-event reporting template. METHODS: The conceptual categories of data presented are based on a textual analysis of 54 published post-event medical case reports and a comparison of the features of published data models for MG health outcomes. FINDINGS: A comparison of existing data models illustrates that none of the models are explicitly informed by a conceptual lens. Based on an analysis of the literature reviewed, four data domains emerged. These included: (i) the Event Domain, (ii) the Hazard and Risk Domain, (iii) the Capacity Domain, and (iv) the Clinical Domain. These domains mapped to 16 sub-domains. DISCUSSION: Data modelling for the health outcomes related to MGs is currently in its infancy. The proposed illustration is a set of operationally relevant data domains that apply equally to small, medium, and large-sized events. Further development of these domains could move the MG community forward and shift post-event health outcomes reporting in the direction of increasing consistency and comprehensiveness. CONCLUSION: Currently, data collection and analysis related to understanding health outcomes arising from MGs is not informed by robust conceptual models. This paper is part of a series of nested papers focused on the future state of post-event medical reporting.