Volume 11, Issue 1 , Pages 28-31, February 2008
Does a cold rainy day keep the patients away?
Article Outline
- Summary
- Introduction
- Methods
- Data analysis
- Results
- Discussion
- Conclusion
- Competing interests/Funding
- Acknowledgements
- References
- Copyright
Summary
Objective
To explore the relationship between the number of patients presenting to the Emergency Department and the weather. To determine if the number of non-urgent cases presenting to the ED is affected by the weather.
Methods
Retrospective review of all presentations to the ED of a tertiary referral hospital in the south-west of Sydney, Australia over a 1
year period. Total daily numbers of patient presentations and their triage acuity were correlated with temperature, rainfall, day of the week and the absence or presence of a Public holiday.
Results
During the study period 46,903 patients presented to the ED with an average of 128.5 patients a day. Rainfall occurred on 135
days. There was a positive correlation between day of the week (P
<
0.001) and the presence of a public holiday (P
<
0.001) on ED attendances. Increasing maximum daily temperature was also associated with a rise in ED presentations (P
=
0.04). Daily rainfall did not significantly influence ED attendance numbers (P
=
0.07). The presence of a Public holiday was the only significant variable affecting the numbers of non-urgent presentations (P
=
0.003).
Conclusions
Meteorological factors such as rainfall and temperature impact minimally on ED attendances. Day of the week and Public holidays are more important variables impacting on total ED workload and resource planning should be guided by this.
Keywords: Rainfall, Temperature, Emergency department presentations
Introduction
Meteorological factors have long been associated with the incidence of disease. An association has been documented between thunderstorm activity and increased asthma presentations to the Emergency Department (ED).1, 2, 3 Other studies that purport causality between climate and health include the effect of high temperatures on presentations of schizophrenia4 and also pelvic pain.5
It is not uncommon for Emergency health care workers to comment on the impact of the day's weather on likely presentations, both number and quality. One Norwegian study looked at hospital admission rates for adults with respect to rainfall and found no correlation.6 A study performed in the USA looked at the relationship between the number and acuity of paediatric ED visits and the weather. They found no significant difference in presentations and ‘unfavourable’ weather conditions.7
Identifying variables that influence ED attendance patterns may help to streamline appropriate resource allocation. This study aims to investigate the relationship between total numbers of patient presentations to the ED and the weather, and to determine if the number of non-urgent cases is affected by climactic conditions.
Methods
The study was conducted in the Emergency Department (ED), of a tertiary referral and trauma centre with a mixed adult and paediatric population located in south-west Sydney, Australia. Total daily attendances and triage acuity of patients who presented to the ED between 1st July 2004 and 30th June 2005 were collated using the Emergency Department Information Database (EDIS). Patients were triaged in accordance with the Australasian Triage Scale.8 Daily rainfall and maximum temperature as recorded by the Bureau of Meteorology (BOM)9 at the local weather station was correlated with daily ED presentations. This weather station is volunteer run and World Meteorological Organization (WMO) accredited. It is situated 4
km west of the hospital campus.
Data analysis
The main outcomes were total number of patients presenting per day (TNP) and percentage of patients allocated triage category 5 (TC5) per day.7 Category 5 patients were used as a surrogate marker for ‘non-urgent’ cases. Maximum daily temperature, daily rainfall, day of week and presence or absence of a Public holiday were considered as potentially significant factors. Day of week (DOW) and Public holidays (PH) were included as previous data from our department indicated that presentations were frequently higher on weekends and public holidays. As rainfall was not normally distributed, it was categorised into <5
mm and 5
≥
mm per day. In the univariate analysis, means across groups were compared using the t-test or analysis of variance, and relationships between continuous variables were explored using Pearson's correlation coefficient.
Linear regression models for the two outcomes were developed to determine whether meteorological factors were a predictor of the number of daily ED visits, after adjusting for other significant variables. A P-value of <0.25 was used to screen for variables to be included in the baseline model. Backward elimination was used to determine the final model with a P-value of less than 0.05 taken as denoting statistical significance. Data were analysed using SPSS version 13.0.
Results
Over the 12
month period, 46,903 patients presented to the ED with an average of 128.5 patients per day. Rainfall was recorded on 135
days, though on 50 of these days rainfall was less than 1
mm. The pattern of rainfall, daily maximum temperature and daily presentations to ED are summarised in Fig. 1.
Total number of patients presenting per day
In the univariate analysis (Table 1), there was a weak but significant correlation between TNP and maximum daily temperature (P
=
0.04), and a significant relationship with DOW and PH. There was a trend towards fewer presentations on rainy days but this was not significant.
Table 1. Univariate analysis of factors impacting on total daily presentations
| Mean TNPa (S.D.) | P value | |
|---|---|---|
| Maximum daily temperatureb (mean 24.1 | Correlation coefficient, 0.11 | 0.04 |
| Daily rainfallc: | 0.07 | |
| 129.0 (13.5) | ||
| 127.9 (12.3) | ||
| Day of weekc: | <0.001 | |
| 134.1 (12.8) | ||
| 124.1 (11.2) | ||
| 123.3 (12.1) | ||
| 124.5 (11.7) | ||
| 123.5 (11.1) | ||
| 130.3 (14.2) | ||
| 139.8 (12.8) | ||
| Public Holidayc: | <0.001 | |
| 148.3 (8.6) | ||
| 127.9 (13.1) | ||
aTNP, total patients presenting to ED per calendar day. |
bPearson's correlation. |
ct-test or ANOVA. |
In the regression analysis, maximum daily temperature, DOW and PH all had a significant relationship to TNP. Rainfall did not significantly impact on TNP after allowing for these factors (P
=
0.07). Although there was a weak correlation between rainfall and temperature (R
=
0.13, P
=
0.02), there was no evidence of collinearity in the regression model.
After allowing for DOW and PH, there were approximately 0.24 (95% CI: 0.15 to 0.47) additional patients per day for every 1
°C increase in temperature (P
=
0.04).
Proportion of ‘non-urgent’ patients per day
Triage category 5 patients accounted, on average, for 4% of daily presentations (range 0–14.5%). There was no significant relationship between proportion of TC5 patients and temperature (P
=
0.5), rainfall (P
=
0.4) or DOW (P
=
0.4) in the unadjusted analysis. A significantly higher proportion of TC5 patients presented on PH compared with non-PH (6.1% v 4.0%, P
=
0.003).
After allowing for PH, neither temperature nor rainfall was associated with a change in proportion of TC5 presenting each day.
Discussion
The results both support and dispel some commonly held beliefs about patterns of ED attendance. As anecdotally believed, peak patient workload occurred on weekends, Mondays and public holidays. This information should support greater staffing on those days.
Increasing maximum daily temperature had a positive correlation with ED presentations. However, although this finding was statistically significant, the clinical impact of temperature is relatively small with fewer than three additional patients for every 10
°C increase in temperature. Although we allowed for Public holidays in our analysis, it should also be recognised that half the PH occur over the Christmas/New Year period (mid-summer), when even on non-PH routine non emergency medical services are often unavailable to the public. Thus this may have exaggerated the apparent impact of higher temperatures. Interestingly, our data did not support the commonly perceived relationship between increased attendances and the winter season. The apparent ‘winter peak’ may relate more to higher acuity casemix, longer lengths of stay and increased access block, all of which will increase the number of patients in the ED at any one time.
Rainfall did not significantly impact on TNP in our study, despite the commonly held belief of many ED physicians that a wet day discourages patient attendances. Rainfall may still discourage patient presentations to the ED if only temporarily, however correlation and analysis of hourly rainfall and attendances would be required and this was beyond the scope of this paper. However, rainfall was generally very low in the study period with only 41
days recording 5
mm or more of rain. Had the study been duplicated in a country with higher annual precipitation the impact observed may have been different.
The only significant factor identified that influenced non-urgent patient presentations was the presence of a PH. The Christmas/New Year period with decreased availability of GP, outpatient and community services undoubtedly contributed to the observed peak in non-urgent ED attendances over this time.
There are several limitations to the study. There are other potential confounding variables that may influence daily ED presentations such as relative humidity that we did not consider in our data analysis. Category 5 patients were selected as a surrogate marker of non-urgent cases, however, we recognise that a subgroup of these patients indeed requires hospital admission, and that a proportion of patients in other triage categories may also be classified as not in need of ED-based care. Individual triage competencies will also result in interrater variability between staff and influence which patients are allocated a category 5.
Conclusion
Meteorological factors play a minor role in determining daily presentations to the ED. More predictable factors, such as day of week and Public holidays have much stronger impact on daily presentations and resource planning should be guided by this.
Competing interests/Funding
There are no competing interests and no funding associated with the preparation of this manuscript.
Acknowledgements
The authors would like to thank Cathrine McDonald for her help in data collection.
References
- Two consecutive thunderstorm associated epidemics of asthma in the city of Melbourne. Med J. Aust. 1992;156:834–837
- The role of fungal spores in thunderstorm asthma. Chest. 2003;123(Mar 3):745–750
- Thunderstorm outflows preceding epidemics of asthma during spring and summer. Thorax. 2001;56:468–471
- . Effects of climate on admission rates of schizophrenia patients to psychiatric hospitals. Eur Psychiat. 2005;20(Jan 1):61–64
- Association between weather conditions and the incidence of emergency gynecological consultations. Gynecol Obstet Inves. 2001;51(1):55–59
- . Are emergency admissions to medical departments dependent on weather?. Tidsskr Nor Laegeforen. 2000;120(Dec 30):3678–3679
- . Effect of weather on the number and the nature of visits to a pediatric ED. Am J Emerg Med. 1998;16(Jul 4):374–375
- ACEM, The Australasian Triage Scale. Australasian College for Emergency Medicine, policy document, 2004.
- Australian Government Bureau of Meteorology. Daily Weather Observations. Available at: http://www.bom.gov.au Accessed: August 2005.
PII: S1574-6267(07)00227-3
doi:10.1016/j.aenj.2007.10.001
© 2007 Published by Elsevier Inc.
Volume 11, Issue 1 , Pages 28-31, February 2008

