Every mass gathering presents its unique characteristics that influence medical resource utilization. Medical planning for mass gatherings involves both use of predictive models and analysis of data from similar past events. This study aimed to describe the medical presentations and the unique challenges influencing medical planning at the Formula One Singtel Singapore Grand Prix, the inaugural Formula One night race. Patient presentation characteristics, rates of patient presentation, and transportation to hospitals in association with attendance and heat index were evaluated over a 4-year period from 2009 through 2012. This will facilitate medical planning for similar events.

A database containing patient presentations from the 3-day Singapore Grand Prix in 2009, 2010, 2011, and 2012 was analyzed. Patient presentations were categorized by time of day and presenting complaints. Patient presentation rates (PPRs) were analyzed to determine correlation with attendance numbers and heat index.

The average annual attendance at the Singapore Grand Prix was 81,992 from 2009 through 2012. The average PPR was 2.17 (SD=0.63)/1,000 attendees. The average transport to hospital rate (TTHR) was 0.033 (SD=0.026)/1,000 attendees. While medical coverage was provided at the circuit park between 2:00 pm to 1:00 am daily, most attendees presented from 5:00 pm to 10:00 pm. The most common presenting complaints included: musculoskeletal conditions (59%) and heat related illnesses (19%). There was no correlation between attendance numbers and PPR and the heat index and PPR.

Musculoskeletal conditions and heat-related illnesses were the most common presenting complaints at the Singapore Grand Prix from 2009-2012. The lack of correlation between heat index and PPR is a new finding compared with prior studies. This could be due to the minimal heat variation that occurred during the night event. Further study is required to refine models that can be used in specialized events.

HoWH, KoenigKL, QuekLS. Formula One Night Race in Singapore: A 4-Year Analysis of a Planned Mass Gathering. Prehosp Disaster Med. 2014;29(5):1-5.

There is a scarcity of analytical data regarding mass-gathering medical care. The purpose of this study was to identify and evaluate the range and nature of illness and injury for patrons of an annual, multi-day, mass gathering.

Encounter data from all patients seen by emergency physicians at the New York State Fair Infirmary during the past five years were analyzed. From these data, a category list was consolidated to 36 reasons for the visit based on chief complaint, nursing notes, and physician notes. The most common reasons for being seen by a physician were analyzed to determine age and gender discrepancies.

The average number of attendees at the Fair per year from 2004–2008 was 950,973. Emergency physicians evaluated a total of 2,075 patients from 2004–2008. The average patient presentation rate over the past four years (2005–2008) was 4.8 ±1.1/10,000 patrons. The average transport to hospital rate over the past four years was 2.7 ±1.1/100,000 patrons. The average age of all patients seen was 34.4 ±21.6 years, and 58.1% of the patients were female. The most common reasons to seek medical attention included: dehydration/heat-related illness (11.4%); abrasion/laceration (10.6%); and fall-related injury (10.2%). Two groups, dehydration/heat-related illness 74% (t (4) = 2.90, p <0.05), and fall-related injury (68%; t (4) = 5.17, p <0.05) were disproportionately female. There also was a direct relationship between age and female gender within the fall-related injury category (χ2 (1, n = 213) = 11.41, p <0.05).

Patron data from fairs and expositions is a valuable resource for studying mass-gathering medical care. A majority (58%) of patients seen at the infirmary were female. The most common reason for being seen was dehydration/ heat-related illness, which heavily favored females, but favored no age groups. The abrasion/laceration category did not contribute to the gender discrepancy. Patients who fell tended to be females >40 years of age. Further analysis is required to determine the reason for the gender discrepancies. Planners of multi-day mass gatherings should develop public education programs and evaluate their impact on the at-risk populations identified by this analysis.