Stormy weather: a retrospective analysis of demand for emergency medical services during epidemic thunderstorm asthmaBMJ 2017; 359 doi: https://doi.org/10.1136/bmj.j5636 (Published 13 December 2017) Cite this as: BMJ 2017;359:j5636
- Emily Andrew, research governance manager12,
- Ziad Nehme, senior research fellow123,
- Stephen Bernard, medical director124,
- Michael J Abramson, deputy head2,
- Ed Newbigin, associate professor5,
- Ben Piper, chief operating officer6,
- Justin Dunlop, manager7,
- Paul Holman, director7,
- Karen Smith, director123
- 1Centre for Research and Evaluation, Ambulance Victoria, Doncaster, VIC 3108, Australia 3108
- 2Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- 3Department of Community Emergency Health and Paramedic Practice, Frankston, VIC 3199, Australia
- 4Intensive Care Unit, The Alfred Hospital, Melbourne, VIC 3004, Australia
- 5School of BioSciences, University of Melbourne, Melbourne, VIC 3052, Australia
- 6Emergency Services Telecommunications Authority, Burwood East, VIC 3151, Australia 3151
- 7Emergency Management Unit, Ambulance Victoria, Melbourne, VIC 3000, Australia
- Correspondence to: Emily Andrew
- Accepted 27 November 2017
Objectives To describe the demand for emergency medical assistance during the largest outbreak of thunderstorm asthma reported globally, which occurred on 21 November 2016.
Design A time series analysis was conducted of emergency medical service caseload between 1 January 2015 and 31 December 2016. Demand during the thunderstorm asthma event was compared to historical trends for the overall population and across specific subgroups.
Setting Victoria, Australia.
Main outcome measures Number of overall cases attended by emergency medical services, and within patient subgroups.
Results On 21 November 2016, the emergency medical service received calls for 2954 cases, which was 1014 more cases than the average over the historical period. Between 6 pm and midnight, calls for 1326 cases were received, which was 2.5 times higher than expected. A total of 332 patients were assessed by paramedics as having acute respiratory distress on 21 November, compared with a daily average of 52 during the historical period. After adjustment for temporal trends, thunderstorm asthma was associated with a 42% (95% confidence interval 40% to 44%) increase in overall caseload for the emergency medical service and a 432% increase in emergency medical attendances for acute respiratory distress symptoms. Emergency transports to hospital increased by 17% (16% to 19%) and time critical referrals from general practitioners increased by 47% (21% to 80%). Large increases in demand were seen among patients with a history of asthma and bronchodilator use. The incidence of out-of-hospital cardiac arrest increased by 82% (67% to 99%) and pre-hospital deaths by 41% (29% to 55%).
Conclusions An unprecedented outbreak of thunderstorm asthma was associated with substantial increase in demand for emergency medical services and pre-hospital cardiac arrest. The health impact of future events may be minimised through use of preventive measures by patients and predictive early warning systems.
Weather and climatic conditions have been associated with exacerbation of various health conditions, including cardiovascular diseases, mental health and sleep disorders, and infectious diseases.1 Thunderstorm asthma is a rare phenomenon, thought to occur when a source of allergen, typically pollen, and appropriate weather conditions, such as a thunderstorm, combine to trigger severe asthma among susceptible people in the vicinity.2 Pollen grains are too large to enter the lower respiratory tract; rain is thought to cause the grains to expand and burst, discharging their allergenic contents as fine respirable particles.345 Asthma symptoms, such as coughing and wheezing, arise when sensitised patients breathe in these particles, which inflame the lining of airways.6 Thunderstorm asthma can affect patients with or without a history of asthma, but patients who experience hay fever are at increased risk.6789
On 21 November 2016, parts of Victoria, Australia, especially the capital city of Melbourne, encountered a thunderstorm asthma health emergency. The event saw a sudden and unprecedented increase in demand on the emergency medical service and hospital emergency departments by patients with acute respiratory distress. Several epidemics of thunderstorm asthma have been reported in Australia910 and internationally,11121314 commonly in regions susceptible to high aeroallergen loads (table 1).8 Before the event in Victoria, the number of affected people ranged between 40 and 2000. But the scale of this event exceeded all previous reports, with approximately 13 000 presentations to hospitals in Victoria, more than 3000 of which were related to respiratory problems.29 The surge in demand for emergency medical services surpassed that of any previous event in Victoria, including the bushfires and heatwaves of 2009.27
A previous review found several studies describing the effects of thunderstorm asthma on emergency department and primary care services.8 But limited evidence exists on the effects on the wider health system, including emergency medical services.8 To optimise the emergency medical response to future emergencies, we need to understand the direct effects of thunderstorm asthma on patients, caseloads, and associated deaths. We describe the demand on Ambulance Victoria, the state-wide emergency medical service in Victoria, Australia, during the thunderstorm asthma emergency.
We conducted a retrospective review and time series analysis of the emergency caseload in Victoria, Australia, between 1 January 2015 and 31 December 2016. We excluded pre-booked non-emergency patient transport cases. This study was approved by Monash University Human Research Ethics Committee (#7739).
The state of Victoria has a population of 6.07 million and spans almost 92 000 square miles (238 000 km2). The capital city, Melbourne, sees an average of 10 thunderstorms a year. Calls for emergency medical assistance are triaged by the Emergency Services Telecommunications Authority using the Medical Priority Dispatch System. The Emergency Services Telecommunications Authority is the state government statutory authority responsible for providing multi-agency emergency service telecommunications, including taking calls and dispatching. Ambulance Victoria has two tiers, with both advanced life support and intensive care paramedics responding to medical emergencies according to a pre-defined resource allocation matrix. Firefighters with basic life support training and community volunteer teams also respond to some time critical emergencies in select areas of the state. All paramedics can give intramuscular epinephrine and ventilation with a supraglottic airway to patients with severe respiratory distress, and intensive care paramedics can perform endotracheal intubation and give intravenous epinephrine in such cases. All paramedics can give intravenous epinephrine to cases of cardiac arrest.
Ambulance Victoria also operates a referral service where low acuity emergency calls undergo secondary telephone triage by paramedics or nurses.30 This might result in emergency ambulance dispatch, referral to an alternative service (such as non-emergency transport or general practitioner), or self care advice, including advice to self present to an emergency department.
Victoria has a health emergency response plan that outlines the arrangements for coordinating the response to emergency incidents.31 On 21 November 2016 the state activated elements of the health emergency response plan and implemented escalation processes. It used several demand management strategies during the surge, including cancelling emergency ambulance dispatch to low acuity cases, cancelling pre-booked non-emergency cases, recalling staff, dispatching regional resources to metropolitan cases, dispatching first responders with basic life support training, and using police officers to conduct welfare checks. Ambulance Victoria stopped its usual secondary triage processes, and staff were used to reprioritise emergency cases. Operational paramedics were permitted to complete paper rather than electronic patient care records to make them available to respond to pending cases sooner.
Data sources and definitions
We sourced caseload data from the Ambulance Victoria data warehouse and telephony and resource allocation data from the Emergency Services Telecommunications Authority. The Ambulance Victoria data warehouse also contains data from electronic patient care records that are completed by paramedics at the conclusion of every case. We extracted cases of confirmed out-of-hospital cardiac arrest from the Victorian Ambulance Cardiac Arrest Registry. This registry collects clinical and operational data for all out-of-hospital cardiac arrests attended by Ambulance Victoria in accordance with Utstein recommendations32 and has been described in detail elsewhere.33
We sourced weather data from the Australian Bureau of Meteorology using observations recorded at Melbourne Olympic Park (1.6 miles (2.5 km) east of city centre). We sourced air quality data from the Environment Protection Authority of Victoria, with all observations recorded at Brooklyn (6.2 miles (10 km) west of city centre), except for particulate matter smaller than 2.5 μm in diameter (PM2.5), which was recorded at Footscray (3.1 miles (5 km) west of city centre). We sourced daily pollen counts from the School of Biosciences at the University of Melbourne. We collected pollen as previously described34 and reported it as the average concentration of grass pollen per cubic metre of air for the preceding 24 hours to 4 pm.
Cases with multiple emergency phone calls were counted as a single case. Patients with a paramedic assessment of acute respiratory distress included those with asthma or shortness of breath. We coded pre-existing conditions into a history of asthma or other respiratory conditions, including chronic bronchitis, emphysema, chronic obstructive pulmonary disease, pulmonary oedema, croup, apnoea, and bronchiectasis. We categorised asthma preventer and bronchodilator drugs according to the National Asthma Council of Australia guidelines.35
Baseline characteristics are presented as frequencies and proportions, mean (standard deviation) or median (interquartile range), as appropriate. We estimated the 99th centile of cases over the two year study period using linear interpolation. We compared groups using the χ2, Fischer’s exact, t test, or Mann-Whitney U test, as appropriate. We compared the baseline characteristics of patients seen by Ambulance Victoria during the thunderstorm asthma event (6 pm to 11 59 pm on 21 November 2016) with those seen during the same hours on the three previous consecutive Mondays.
To investigate the effect of thunderstorm asthma on daily caseload of Ambulance Victoria after adjustment for temporal trends, we used negative binomial time series regression analyses with distributed lags. We included all cases occurring between 1 January 2015 and 31 December 2016. Results are presented as incident rate ratios and 95% confidence intervals. Models were adjusted for day of week, month, and long term trend. The thunderstorm asthma event was included in the model as a dichotomous term, with the entire day of 21 November 2016 defined as the thunderstorm asthma period. We included three lag days in models to assess residual effects. We calculated the cumulative effect of thunderstorm asthma as the sum of the effect on the day of the event and the three lag days. We conducted time series analyses across patient subgroups and local government areas. We conducted a sensitivity analyses in which all emergency ambulance attendances during the thunderstorm asthma period with missing patient data were assumed to involve respiratory distress (n=250).
We performed all analyses using Stata 14 software (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX). We considered two sided P values less than 0.05 to be statistically significant.
No patients were involved in setting the research question or outcomes measures, nor were they involved in developing plans for design or implementation of the study. No patients were asked to give advice on interpretation or writing up of results.
Weather and aerobiology
21 November 2016 was Melbourne’s hottest spring day with a maximum temperature of 35°C. Gusty northerly winds resulted in a reading of 102 grass pollen grains/m3 of air for the 24 hours to 4 pm. This meant the pollen count was classified as extreme (≥100 grains/m3), with susceptible people having a high risk of severe allergic rhinitis.36
A north-south line of thunderstorms developed west of Melbourne in the mid-afternoon and produced severe westerly wind gusts of 37 mph (60 km/h) or more. The line of storms moved eastwards across Melbourne between 5 pm and 6 30 pm. The storm passage was marked by a sharp drop in temperature, an increase in relative humidity, and a rapid change in wind direction from northerly to westerly (fig 1). The change in wind direction led to a rise in PM10 in the air, peaking at 191 μg/m3. Rainfall up to 1-4 mm was recorded across Melbourne after the wind change, and the levels of grass pollen and PM10 in the air both fell as winds eased during the evening from light west to south westerly. The average daily grass pollen reading for Melbourne on 22 November was classified as low (19 grains/m3). Grass pollen levels remained low (<20 grains/m3) over the next few days.
Figure 1 shows the hourly emergency caseload, with a sharp increase in caseload after the storm and wind change. Between 7 pm and 8 pm, the caseload reached 297 cases, corresponding to 2.43 times the 99th centile caseload of the two year study period (122 cases). Between 6 pm and midnight, emergency services received calls for 1326 cases. As such, the caseload was 2.50 times the average (530 cases), equating to almost 800 additional cases. The caseload was so extreme that no ambulance could be dispatched to more than 500 cases; these were closed through paramedic telephone assessment. The caseload fell back down to 65 cases between 7 am and 8 am the next day, which was under the 99th centile of the comparator period (77 cases).
The characteristics of patients attended by an emergency ambulance between 6 pm and midnight on 21 November were compared with patients seen during the same hours on the three previous Mondays (table 2). Only patients with an electronic patient care record were included (thunderstorm asthma period: 82.3% (615 of 747) of emergency attendances; comparator period: 92.8% (1111 of 1197)). Patients seen in the thunderstorm asthma period were significantly younger than in the comparator period. Almost half of all patients reported a history of asthma, but 26.4% (156 of 590) and 1.4% (8 of 590) were recorded as taking only an asthma bronchodilator or preventive medication, respectively. Almost half of the patients seen in the thunderstorm asthma period had acute respiratory distress when assessed by paramedics.
Seventeen out-of-hospital cardiac arrests were recorded during the event (supplementary table S1). More than half of these (n=9) were presumed to have a respiratory cause (52.9%), compared with none of the 15 recorded in the comparator period (P<0.001). Eight (47.1%) patients had a history of asthma, compared with three (20%) in the comparator period. See supplementary table S2 for the characteristics of patients with a paramedic assessment of acute respiratory distress.
Effects of thunderstorm asthma on emergency services
The emergency medical service handled 2954 cases on 21 November and 2493 cases the next day, compared with an average of 1940 cases over the comparator period (fig 2). After adjusting for temporal tends, thunderstorm asthma was associated with a 41.7% (95% confidence interval 39.6% to 43.9%) increase in caseload on 21 November (supplementary figure S1). The cumulative effect of the event, accounting for three additional lag days, was an increase in caseload of 96.6% (86.3% to 107.4%). Emergency transports to hospital on 21 November rose by 17.3% (15.6% to 19.1%), and time critical referrals from general practitioners rose by 47.1% (20.5% to 79.6%).
On 21 November, emergency services received calls for 774 cases with breathing problems, and 332 cases had acute respiratory distress on paramedic assessment (supplementary figure S2). After adjustment, thunderstorm asthma was associated with a 337.2% (313.3% to 362.5%) increase in calls for breathing problems (supplementary figure S3A) and a 432.3% (398.4% to 468.5%) rise in patients with acute respiratory distress (supplementary figure S3B). In a sensitivity analysis accounting for missing data, we found that the increase in acute respiratory distress could have been as high as 644.0% (596.7% to 694.6%).
Effect of thunderstorm asthma on patient subgroups
As previously, only patients with an electronic patient care record were included. After adjustment, thunderstorm asthma was associated with a 149.1% (137.1% to 161.8%) increase in presentations by patients with pre-existing asthma (table 3). We found a 103.1% (95.9% to 110.5%) increase in patients using a bronchodilator, compared with 21.3% (14.2% to 28.8%) in patients using preventive medication. Thunderstorm asthma was associated with an 82.2% (67.1% to 98.8%) rise in out-of-hospital cardiac arrests and a 41.4% (28.7% to 55.5%) rise in pre-hospital deaths.
Regional variation in the effects of thunderstorm asthma
We found the highest increases in workload in local government areas to the west and north of Melbourne (supplementary figure S4). But we found increases in demand across Melbourne and surrounding areas (>4600 square miles (12 000 km2), showing the broad geographical profile of the event.
We describe the impact on emergency services of the world’s largest recorded and most severe thunderstorm asthma health emergency. The event was associated with a 41.7% increase in emergency service caseload and a dramatic increase in cases of acute respiratory distress.
Although some previous studies have described the influence of thunderstorm asthma on health services such as primary care facilities and emergency departments,71011121337 none have examined emergency medical services. These services are recommended as the first point of call for patients with out-of-hospital health emergencies, and understanding their use and the characteristics of patients presenting during such events can assist health planning. We found a 2.5-fold increase in demand for emergency medical services between 6 pm and midnight on the day of the event. This finding supports previous reports in which thunderstorm asthma has been associated with large and sudden spikes in emergency department and general practice presentations.781220
Such unprecedented increases in demand place enormous strain on health services.8 In Victoria, the emergency medical services implemented a range of demand management strategies after the sudden surge was identified. But the extent, severity, and duration of this event surpassed all expectations. The current state health emergency response plan was drafted for events such as bushfires, heatwaves, and mass casualty events. It was unlikely to be effective for a complex emergency such as thunderstorm asthma, given its broad geographical spread and rapid onset.27 Warning of this event may have enabled earlier implementation of demand management strategies, facilitating a more streamlined emergency response and a reduction in the event’s wider health impact.
The health impact might also have been reduced through use of preventive measures by patients; this could be achieved through increased future awareness of thunderstorm asthma. For example, thunderstorm asthma commonly occurs in spring, and review of patient asthma action plans by general practitioners in the lead-up to this season may reduce the impact of thunderstorm asthma.28 Additionally, given the allergenic nature of the fine respirable particles, prescription of epinephrine injectors for susceptible patients may warrant consideration.
We identified subgroups of patients with the largest increases in demand of emergency services. Our findings support previous studies, which have found increases in emergency department demand by children and young to middle aged adults.1223 Our study, however, found that the effect of thunderstorm asthma was delayed in children younger than 15 years. Similarly, our findings support the notion that preventive medication, such as corticosteroids, may be effective in preventing severe asthma attacks related to thunderstorm asthma if taken before the event.6912 We found that demand by patients taking preventive medication increased by only 21.3% on 21 November, compared with a 103.1% increase among patients taking asthma bronchodilators only. The cumulative demand for emergency medical services among patients taking an asthma bronchodilator alone (incident rate ratio 9.39) was more than five times that of patients taking an asthma preventer (incident rate ratio 1.68).
Finally, we observed a near doubling in cardiac arrests on the day of the event, with the majority reported to be due to a respiratory cause. Ten deaths have been attributed to thunderstorm asthma.27 We are not aware of such increases in out-of-hospital cardiac arrest after previous thunderstorm asthma events, although increases in outdoor air pollution in our region have been associated with an increased risk of out-of-hospital cardiac arrest.38 The concentration of coarse particles in the air during the thunderstorm asthma event in Victoria was more than double the Australian Environment Protection Measure (Ambient Air Quality) concentration of 80 μg/m3. The concentration of fine particles, however, was only slightly increased. While increasing concentrations of fine particles have been well documented to increase the risk of premature death,3940 the influence of coarse particles and aeroallergens on cardiovascular health remains less clear.3941 Our study indicates that the influence of coarse particles on cardiovascular and respiratory health warrants further investigation.
Our study was retrospective. The capture of patient medications and pre-existing medical conditions was dependent on this information being entered into patient care records and may be under-reported. Hay fever was not routinely recorded, and we were unable to determine the presence or absence of pollen allergy. Because of the high demand for emergency medical services, only 82.3% of cases had an electronic patient care record available, and numbers for subgroup analyses may be under-reported. Although we were able to report paramedic assessment of acute respiratory distress, we were unable to confirm the hospital diagnosis that these patients received. We did not obtain data related to fungal spore counts in the air. Finally, we used environment data from central air quality, pollen, and weather monitoring stations, but patient exposure may have differed across Victoria. Nevertheless, our study is strengthened by the large historical sample size over a two year period.
An unprecedented thunderstorm asthma event in Victoria was associated with a sudden surge in demand for emergency medical services from patients with severe respiratory distress and those with a history of asthma. Importantly, those using preventive asthma medications were less likely to be affected than those taking a bronchodilator alone. Predictive early warning systems may help to ensure that susceptible people are alerted about future emergencies and to minimise the health impact.
What is already known on this subject
Thunderstorm asthma is a rare phenomenon whereby a surge in patients with acute respiratory illness occurs after a thunderstorm.
It increases pressure on health services such as primary care facilities and emergency departments.
What this study adds
We found that the largest globally reported outbreak of thunderstorm asthma was associated with a 42% increase in the overall caseload of emergency medical services and a 432% increase in emergency attendances for acute respiratory distress symptoms after adjustment for temporal trends.
Demand management strategies were insufficient to manage such a widespread and rapid onset event, with ambulance resources quickly depleted.
The incidence of out-of-hospital cardiac arrest and pre-hospital deaths increased by 82% and 41%, respectively.
We thank Resmi Nair for her production of the maps presented.
Contributors: EA, KS, and MJA conceived the study. EA conducted the initial literature search and drafted the manuscript. EA, EN, and BP collected the data. EA and ZN performed the statistical analyses; EA, ZN, KS, SB, MJA, EN, and BP contributed to data interpretation. All other authors reviewed the manuscript and made critical revisions for intellectual property.
Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: MJA holds investigator initiated grants from Pfizer and Boehringer-Ingelheim for unrelated research; other authors had no support from any organisation for the submitted work; all authors had no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could have influenced the submitted work.
Ethical approval: This study was approved by Monash University Human Research Ethics Committee (#7739).
Data sharing: Case and patient level datasets are available from the corresponding author on request.
Transparency: All authors take responsibility for the integrity of the data and the accuracy of the data analysis. The manuscript is an honest, accurate and transparent account of the study; no aspects of the study have been omitted.
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