Mass-gathering Medicine: Risks and Patient Presentations at a 2-day Electronic Dance Music Event - Year Two

Mass Gathering Events at an Event Hall in Osaka Are a Non-direct Risk of Admission to a Neighboring Emergency Hospital

BACKGROUND

The influence of planned mass gathering events on surrounding residents is not understood sufficiently.

OBJECTIVES

The purpose of this study was to investigate how events at an event hall affect a neighboring emergency hospital throughout the year.

METHODS

This was a single-center, retrospective, observational study conducted on all patients who presented to the emergency department from January 1 to December 31, 2019. The event hall is located 200 meters from the hospital, and various events such as music concerts and professional baseball games are held at the hall throughout the year. We collected patient information from the electronic medical records. The factors associated with hospitalization were assessed using a multivariable logistic regression analysis.

RESULTS

This study comprised 18,907 patients who visited our emergency department. The number of patients on event days was 9,981 and that on no-event days was 8,922. The mean (SD) number of patients visiting on event days was 56.4 (14.9), and that on no-event days was 47.5 (14.1) (p<0.05). The multivariable logistics regression analysis showed age (adjusted odds ratio (AOR): 1.03; 95% confidence interval (CI): 1.03-1.04), male gender (AOR: 1.21; 95% CI: 1.13-1.31), transportation by emergency medical services (AOR: 2.56; 95% CI: 2.37-2.75), rain days (AOR: 1.14; 95% CI: 1.04-1.23), and event day (AOR: 1.11; 95% CI: 1.02-1.20) to be independent risk factors of hospitalization.

CONCLUSIONS

In this study, we found that event day was one of the independent risk factors of admission to the hospital from the emergency department.

The Impact of In-Event Health Services at Europe's Largest Electronic Dance Music Festival on Ems and Ed in the Host Community

BACKGROUND

Electronic dance music festivals (EDMF) can cause a significant disruption in the standard operational capacity of emergency medical services (EMS) and hospitals. We determined whether or not the presence of in-event health services (IEHS) can reduce the impact of Europe's largest EDMF on the host community EMS and local emergency departments (EDs).

METHODS

We conducted a pre-post analysis of the impact of Europe's largest EDMF in July 2019, in Boom, Belgium, on the host community EMS and local EDs. Statistical analysis included descriptive statistics, independent t-tests, and χ2 analysis.

RESULTS

Of 400,000 attendees, 12,451 presented to IEHS. Most patients only required in-event first aid, but 120 patients had a potentially life-threatening condition. One hundred fifty-two patients needed to be transported by IEHS to nearby hospitals, resulting in a transport-to-hospital rate of 0.38/1000 attendees. Eighteen patients remained admitted to the hospital for >24 h; one died after arrival in the ED. IEHS limited the overall impact of the MGE on regular EMS and nearby hospitals. No predictive model proved optimal when proposing the optimal number and level of IEHS members.

CONCLUSIONS

This study shows that IEHS at this event limited ambulance usage and mitigated the event's impact on regular emergency medical and health services.

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.

Longitudinal description and evaluation of an emergency department avoidance strategy for a youth mass gathering (Schoolies) in Australia

OBJECTIVE

ED avoidance strategies including In-Event Health Service (IEHS) processes during mass gathering events (MGEs), such as 'Schoolies week', may be important for EDs, ambulance services, the local population, and attendees. The aim of the present study was to provide a longitudinal description of emergency care requirements for young adults (16-18 years old); focussing on the impact of the Schoolies MGEs.

METHODS

This retrospective observational study included youth (16-18 years) presentations made (i) to local public EDs during Schoolies week in 2008-2014 and (ii) to local EDs over a 3-week period (pre, during, post-Schoolies week) and the IEHS in 2015 and 2016. Descriptive and inferential statistics were undertaken.

RESULTS

Youth presentations (n = 4256) were included. Presentation rates/1000 fluctuated over time (range 6.2-21.2). The IEHS provided care for 167 and 288 youth during 2015 and 2016 Schoolies week, respectively. Demographic factors (gender, age, region domiciled) and episode of care factors (time of presentation, mode of arrival, urgency, time to triage, time to be seen by a clinician and length of stay) between 2008 and 2016 varied by year. Toxicology (alcohol and other drugs), trauma, and mental health concerns were the most common diagnoses.

CONCLUSIONS

The IEHS, operational during Schoolies, appeared to reduce pressures on local EDs by offering rapid, targeted care for potentially vulnerable youth; decrease requirements for hospital transport and minimise impacts on care provision for the local community. Given increases in ED crowding and pressures on ambulance services, such care models may be worth considering for other types of MGEs and in other locations.

Validation of a Belgian Prediction Model for Patient Encounters at Music Mass Gatherings

Introduction:

A Belgian predictive medical resource tool, Plan Risk Manifestations (PRIMA), for the prediction of the number of patient encounters at mass gatherings (MGs) has recently been developed, in addition to the existing models of Arbon and Hartman. This study presents the results of the validation process for the PRIMA model for music MGs.

Methods:

A retrospective study was conducted using data gathered from music MGs in the province of Antwerp (Belgium) during the period of 2012-2016. Data from 87 music MGs were used for the study. The forecast of medical resources for these events was determined by entering the characteristics of individual events into the Arbon, Hartman, and PRIMA models. In order to determine if the PRIMA model is under- or over-predictive, the data gathered were retrospectively compared to the predicted number of resources needed using the aforementioned models. Statistical analysis included means, medians, and interquartile ranges (IQRs). Nonparametric related samples test (Wilcoxon Samples Signed Rank Test) for comparison of the median in deviations in predictions of patient presentation rates (PPRs) was performed using SPSS version 23 (IBM Corp.; Armonk, New York USA). Confidence interval levels were set at 95% and results were deemed statistically significant at P <.05. This triple comparison was used to determine the overall performance of all three models.

Results:

All three models had an acceptable rate of over-prediction of number of patient encounters ([Arbon 25.29%; 95% CI, 30.91-43.74]; [Hartman 29.89%; 95% CI, 57.10-68.90]; and [PRIMA 19.54%; 95% CI, 57.80-76.20]). But all models also had a high rate of under-prediction of number of patient encounters ([Arbon 74.71%; 95% CI, 453.31-752.52]; [Hartman 70.11%; 95% CI, 546.90-873.77]; and [PRIMA 78.16%; 95% CI, 288.91-464.89]). Only the PRIMA model succeeded in the correct prediction of the number of patient encounters on two occasions (2.3%).

Conclusion:

Results of this study are in-line with existing literature. When comparing the predicted patient encounters, all three models had high rates of under-prediction and moderate rates of over-prediction. When comparing mean deviations, the PRIMA model had the lowest mean deviation of all predicted PPRs. Belgian events of the types included in the presented data may use the PRIMA model with confidence to predict PPRs and estimate the in-event health services (IEHS) requirements.

Moshpit Medicine: The Experience of an Australian Event Resuscitation Team

The authors reviewed case reports of patients presenting to an advanced medical assessment and resuscitation service at 15 music events over 22 days from June 2018 through March 2019 around Australia. Event size ranged from 4,000 to 57,500 participants. Events observed had a mean patient presentation rate (PPR) of 0.83% (SD = 0.59%) and mean transport to hospital rate (TTHR) of 1.89 (SD = 0.92) per 10,000. Two-hundred and twenty-one cases were reviewed and tabulated for descriptive analysis.Lower rates of traumatic injuries were seen compared to other case reports, and minor procedures represented a minor but important part of the team's workload. Methylenedioxymethamphetamine (MDMA) use was reported by 33.0% of patients on the day of presentation; almost one-half of these reported a co-ingestion. Patients presenting after using MDMA were more likely to have an elevated temperature. Eight percent of patients presented with temperature above 38°C. Patients with an initial temperature above 38°C were more likely to require hospitalization. On-site electrocardiograph (ECG), blood gas, ultrasound, and urinalysis were found to be useful in decision support. In total, 29.8% of patients required sedation during their encounter; 2.7% required rapid sequence induction at the event. Mean observation time was 44 minutes, with longer observation required in MDMA and hallucinogen-related presentations.

Qualitative study of health system preparedness for traumatic incidents in a religious mass gathering

BACKGROUND AND OBJECTIVES

Traumatic incidents may occur during religious mass gatherings. A lack of preparedness by the health system to respond to traumatic incidents may increase the mortality rate. This study investigated the factors that affect the preparedness of a health system to respond to traumatic incidents, and we provide appropriate suggestions for improving the response to such incidents during religious mass gatherings.

METHODS

A qualitative research method was used with a conventional content analysis approach. In total, 22 semi-structured interviews were conducted employing the content analysis method. The data were analyzed based on the means of the meaning units, condensed meaning units, sub-themes, themes, and codes.

RESULTS

Four main categories and nine sub-categories emerged from the data: factors that increased or decreased the occurrence of incidents (with three sub-categories comprising risk perception and fatalism, pilgrims' responses to incidents, and health system response to traumatic events); medical infrastructure (with two sub-categories comprising medical infrastructure in the host country and medical structures in border cities); organizational resource category (with two sub-categories comprising manpower, and equipment and facilities); and coordination of responsible organizations (with two sub-categories comprising inter-organizational coordination and inter-agency collaboration). All of the data were extracted from the experiences of the participants.

CONCLUSION

Similar to other mass gatherings, Arbaeen requires multi-sectoral and international planning, organizing, and management. The key factors that could improve the preparedness to respond to traumatic events in Arbaeen include training, increasing the perception of risk, changing the attitudes and behavior of pilgrims, developing a national strategic plan of the health system preparedness for policymakers, and implementing scenario-based exercises for executives.

Correspondence between Oral Fluid Drug Test Results and Self-Reported Illicit Drug Use among Music Festival Attendees

BACKGROUND

Use of illicit substances is often under-reported. Testing positive in oral fluid provides an objective confirmation of recent intake.

OBJECTIVES

To examine the agreement between oral fluid test results and self-reported substance use among music festival attendees, and factors associated with reporting past 48 h drug use among users identified by drug testing.

METHODS

One thousand three hundred nine participants were recruited from six music festivals in Norway (June-August 2016). They completed a questionnaire and provided oral fluid samples analyzed for amphetamines, MDMA, tetrahydrocannabinol (cannabis), and cocaine. Additionally, their blood alcohol levels were measured.

RESULTS

Overall, 5.5% reported use of amphetamines, cannabis, cocaine, and/or MDMA during past 48 h in the questionnaire, whereas 10.8% tested positive in oral fluid. Only 16.7% of identified cocaine users and 31.1% of identified MDMA users reported past 48 h cocaine or MDMA use, respectively. Higher proportions of identified cannabis and amphetamine users reported past 48 h use (53.8% and 55.6%, respectively). Multivariable logistic regression analysis showed that among participants who tested positive, those reporting weekly illicit substance use (Adjusted Odds Ratio [AOR] 30.6; 95% Confidence Interval [CI] 6.3-147.9), and using such substances when younger than 18 years (AOR 5.0; 95% CI 1.9-13.4) were more likely to report past 48 h use. Conclusions/Importance: Oral fluid testing appears to be an important tool when studying illicit substance use among music festival attendees, as significant under-reporting was observed. Among those testing positive, regular, and experienced users were more likely to report recent use, compared to less regular and experienced users.

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

Specific Event Identifiers a. Event type: Outdoor music festival. b. Event onset date: December 3, 2016. c. Location of event: Regatta Point, Commonwealth Park. d. Geographical coordinates: Canberra, Australian Capital Territory (ACT), Australia (-35.289002, 149.131957, 600m). e. Dates and times of observation in latitude, longitude, and elevation: December 3, 2016, 11:00-23:00. f. Response type: Event medical support. Abstract Introduction Young adult patrons are vulnerable to risk-taking behavior, including drug taking, at outdoor music festivals. Therefore, the aim of this field report is to discuss the on-site medical response during a music festival, and subsequently highlight observed strategies aimed at minimizing substance abuse harm.

METHOD

The observed outdoor music festival was held in Canberra (Australian Capital Territory [ACT], Australia) during the early summer of 2016, with an attendance of 23,008 patrons. First aid and on-site medical treatment data were gained from the relevant treatment area and service.

RESULTS

The integrated first aid service provided support to 292 patients. Final analysis consisted of 286 patients' records, with 119 (41.6%) males and 167 (58.4%) females. Results from this report indicated that drug intoxication was an observed event issue, with 15 (5.1%) treated on site and 13 emergency department (ED) presentations, primarily related to trauma or medical conditions requiring further diagnostics.

CONCLUSION

This report details an important public health need, which could be met by providing a coordinated approach, including a robust on-site medical service, accepting intrinsic risk-taking behavior. This may include on-site drug-checking, providing reliable information on drug content with associated education. Luther M , Gardiner F , Lenson S , Caldicott D , Harris R , Sabet R , Malloy M , Perkins J . An effective risk minimization strategy applied to an outdoor music festival: a multi-agency approach. Prehosp Disaster Med. 2018;33(2):220-224.

Mass-gathering Medicine: Risks and Patient Presentations at a 2-day Electronic Dance Music Event - Year Two

TurrisSA, CamporeseM, GutmanSJ, LundA. Mass-gathering medicine: risks and patient presentations at a 2-day electronic dance music event - year two. Prehosp Disaster Med. 2016;31(6):687–688.