An Effective Risk Minimization Strategy Applied to an Outdoor Music Festival: A Multi-Agency Approach

Opt-Out Design for an Observational Toxicology Study Involving Intoxicated Patients at a Dance Music Event

At electronic dance music events in Belgium in 2013 to 2015, seemingly intoxicated patients were included without their informed consent in an observational toxicology study when the attending physicians determined that they needed treatment with an intravenous line. All included patients received an information letter inviting them to contact the principal investigator (PI) to obtain more information about the study and/or to inform the PI that they wanted to be excluded from it. Overall, 238 patients were included in the study. Nine participants (4%) responded to the information letter, either on their own or through their parent; none of them asked to be excluded from the study. All respondents expressed their gratitude for the information they received. The opt-out study design seemed to be acceptable to the patient-participants, and it provided a fuller picture of the drug-related medical incidents at such music events than what could likely be achieved through a study that includes only people who explicitly choose to participate. These findings may help institutional review boards when evaluating study designs involving recreational drug use, especially at electronic dance music events. Nevertheless, we warn against extrapolation to other settings where informed consent is difficult to obtain.

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: 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: 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.

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.

On the Way Out: An Analysis of Patient Transfers from Four Large-Scale North American Music Festivals Over Two Years

Introduction

Music festivals are globally attended events that bring together performers and fans for a defined period of time. These festivals often have on-site medical care to help reduce the impact on local health care systems. Historically, the literature suggests that patient transfers off-site are frequently related to complications of substance use. However, there is a gap in understanding why patients are transferred to hospital when an on-site medical team, capable of providing first aid services blended with a higher level of care (HLC) team, is present.

Objective

The purpose of this study is to better understand patterns of injuries and illnesses that necessitate transfer when physician-led HLC teams are accessible on-site.

Methods

This is a prospective, descriptive case series analyzing patient encounter documentation from four large-scale, North American, multi-day music festivals.

Results/Discussion

On-site medical teams that included HLC team members were present for the duration of each festival, so every team was able to “treat and release” when clinically appropriate. Over the course of the combined 34 event days, there were 10,406 patient encounters resulting in 156 individuals being transferred off-site for assessment, diagnostic testing, and/or treatment. A minority of patients seen were transferred off-site (1.5%). The patient presentation rate (PPR) was 16.5/1,000. The ambulance transfer rate (ATR) was 0.12/1,000 attendees, whereas the total transfer-to-hospital rate (TTHR), when factoring in non-ambulance transport, was 0.25/1,000. In contrast to existing literature on transfers from music festivals, the most common reason for transfer off-site was for musculo-skeletal (MSK) injuries (53.8%) that required imaging.

Conclusion

The presence of on-site HLC teams impacted the case mix of patients transferred to hospital, and may reduce the number of transfers for intoxication. Confounding preconceptions, patients in the present study were transferred largely for injuries that required specialized imaging and testing that could not be performed in an out-of-hospital setting. These results suggest that a better understanding of the specific effects on-site HLC teams have on avoiding off-site transfers will aid in improving planning for music festivals. The findings also identify areas for further improvement in on-site care, such as integrated on-site radiology, which could potentially further reduce the impact of music festivals on local health services. The role of non-emergency transport vehicles (NETVs) deserves further attention.

TurrisSA, CallaghanCW, RabbH, MunnMB, LundA. On the way out: an analysis of patient transfers from four large-scale North American music festivals over two yearsPrehosp Disaster Med. 2019;34(1):72–81.

Mass-Gathering Medical Care Provided by a Collegiate-Based First Response Service at an Annual College Music Festival and Campus-Wide Celebration

Background

There is insufficient research on medical care at mass-gathering events (MGEs) on college and university campuses. Fun Day is an annual celebratory day held at Skidmore College (Saratoga Springs, New York USA), a small liberal arts college in the Northeastern United States. Fun Day is focused around an outdoor music festival; students also congregate and celebrate throughout the surrounding campus. To improve care and alleviate strain on local resources, a model was developed for the provision of emergency care by a collegiate-based, volunteer first-response service – Skidmore College Emergency Medical Services (EMS) – in coordination with a contracted, private ambulance service.

Study/Objective

The aims of this study were to: (1) analyze medical usage rates and case mixes at Fun Day over a four-year period, and to (2) describe the collegiate-based first response model for MGEs.

Methods

Data were collected retrospectively from event staff, college administrators, and Skidmore College EMS on event-related variables, patient encounters, and medical operations at Fun Day over a four-year period (2014-2017).

Results

Annual attendance at the music festival was estimated at 2,000 individuals. Over four years, 54 patients received emergency medical care on campus on Fun Day, and 18 (33.3%) were transported to the emergency department. On-site contracted ambulances transported 77.8% of patients who were transported to the emergency department; mutual aid was requested for the other 22.2% of transports. The mean (SD) patient presentation rate (PPR) was 7.0 (SD = 1.0) per 1,000 attendees. The mean (SD) transport-to-hospital rate (TTHR) was 2.0 (SD = 1.0) per 1,000 attendees. Thirty (55.6%) patients presented with intoxication, seven (13.0%) with laceration(s), and five (9.3%) with head trauma as the primary concern. Medical command was established by volunteer undergraduate students. Up to 16 volunteer student first responders (including emergency medical technicians [EMTs]) were stationed on campus, in addition to two contracted ambulances at the Basic Life Support (BLS) and Advanced Life Support (ALS) levels. Operational strategies included: mobile first response crews, redundant communication systems, preventative education, and harm reduction.

Conclusion

High medical usage rates were observed, primarily due to alcohol/illicit substance use and traumatic injuries. The provision of emergency care by a collegiate-based first response service in coordination with a contracted, private ambulance agency serves as an innovative model for mass-gathering medical care on college and university campuses.

FriedmanNMG, O’ConnorEK, MunroT, GoroffD.Mass-gathering medical care provided by a collegiate-based first response service at an annual college music festival and campus-wide celebration. Prehosp Disaster Med. 2019;34(1):98–103.