Dedicated on-site medical services have long been recommended to improve health outcomes at mass-gathering events (MGEs). In many countries, they are being reviewed as a mandatory requirement. While it is known that perceptions of risk shape substance use plans amongst outdoor music festival (OMF) attendees, it is unclear if attendees perceive the presence of on-site medical services as a part of the safety net. The aim of this paper is to better understand whether attendees’ perceptions of on-site medical services influence high-risk behaviors like alcohol and recreational drug use at OMFs.

A questionnaire was distributed to a random sample of attendees entering and attending two separate 20,000-person OMFs; one in Canada (Festival A) and one in New Zealand (Festival B). Responses focused on demographics, planned alcohol and recreational drug use, perceptions of medical services, and whether the absence of medical services would impact attendees’ planned substance use.

A total of 851 (587 and 264 attendees for Festival A and Festival B, respectively) attendees consented and participated. Gender distribution was equal and average ages were 23 to 25. At Festival A, 48% and 89% planned to use alcohol and recreational drugs, respectively, whereas at Festival B, it was 92% and 44%. A great majority were aware and supportive of the presence of medical services at both festivals, and a moderate number considered them a factor in attendance and something they would not attend without. There was significant (>10%) agreement (range 11%-46%; or 2,200-9,200 attendees for a 20,000-person festival) at both festivals that the absence of medical services would affect attendees’ planned use of alcohol and recreational drugs.

This study found that attendees surveyed at two geographically and musically distinct OMFs had high but differing rates of planned alcohol and recreational drug use, and that the presence of on-site medical services may impact attendees’ perceptions of substance use risk. Future research will aim to address the limitations of this study to clarify these findings and their implications.

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.

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.

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%).

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.

Mass-gathering music events, such as outdoor music festivals (OMFs), increase the risk of injuries and illnesses among attendees. This increased risk is associated with access to alcohol and other drugs by young people and an environment that places many people in close contact with each other.

The purpose of this report was to demonstrate how Haddon’s matrix was used to examine the factors that contributed to injuries and illnesses that occurred at 26 OMFs using data from the Ranse and Hutton’s minimum data set.

To help understand the kinds of injuries and illnesses experienced, Hutton et al identified previous patterns of patient presentations at 26 OMFs in Australia. To develop effective prevention strategies, the next logical step was to examine the risk factors associated with each illness/injury event. The Haddon matrix allows event practitioners to formulate anticipatory planning for celebratory-type events.

What was evident from this work was that the host, the agent, and the physical and social environments contributed to the development of injuries and illness at an event. The physical environment could be controlled, to a certain extent, through event design, safety guidelines, and legislation. However, balancing cultural norms, such as the importance placed on celebratory events, with the social environment is more difficult.

The use of the Haddon matrix demonstrates that interventions need to be targeted at all stages of the event, particularly both pre-event and during the event. The opportunity to promote health is lost by the time of post event. The matrix provided vital information on what factors may contribute to injury at OMFs; form this information, event planners can strategize possible interventions.

HuttonA , SavageC , RanseJ , FinnellD , KubJ . The Use of Haddon’s Matrix to Plan for Injury and Illness Prevention at Outdoor Music Festivals. Prehosp Disaster Med2015; 30(2):1-9