Time of Day and Day of Week Trends in EMS Demand

Prehospital Emergency Care

Volumn 19, Issue 3, 2015, Pages 425-431

  Cantwell, Kate ^a,b,c   Morgans, Amee ^c,d   Smith, Karen ^b,c,e   Livingston, Michael ^f,g   Spelman, Tim ^a,c   Dietze, Paul ^a,c  

^a BURNET INSTITUTE   (Australia)

^b Ambulance Victoria   (Australia)

^c MONASH UNIVERSITY   (Australia)

^d Benetas   (Australia)

^e UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^f UNIVERSITY OF NEW SOUTH WALES   (Australia)

^g TURNING POINT ALCOHOL AND DRUG CENTRE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EMERGENCY HEALTH SERVICE; FACTUAL DATABASE; HEALTH CARE DELIVERY; HEALTH SERVICE; HUMAN; MIDDLE AGED; TIME; TRENDS; UTILIZATION;

AFTER-HOURS CARE; DATABASES, FACTUAL; EMERGENCY MEDICAL SERVICES; HEALTH SERVICES NEEDS AND DEMAND; HUMANS; MIDDLE AGED; TIME FACTORS;

EID: 84932107366     PISSN: 10903127     EISSN: 15450066     Source Type: Journal    
DOI: 10.3109/10903127.2014.995843     Document Type: Article

References (35)

1. Lowthian J, Cameron P, Stoelwinder J, Curtis A, Currell A, Cooke M, McNeil J. Increasing utilisation of emergency ambulances. Aust Health Rev. 2011;35:63-9.
2. Lowthian J, Jolley D, Curtis A, Currell A, Cameron P, Stoelwinder J, McNeil J. The challenges of population ageing: acclerating demand for emergency ambulance services by older patients, 1995-2015. MJA. 2011;194:574-8.
3. Munjal K, Silverman R, Freese J, Braun J, Kaufman B, Isaacs D, Werner A, Webber M, Hall C, Prezant D. Utilization of emergency medical services in a large urban area: description of call types and temporal trends. Prehosp Emerg Care. 2011;15:371-80.
4. Peacock P, Peacock J, Victor C, Chazot C. Changes in emergency workload of the London Ambulance Service between 1989 and 1999. Emerg Med J. 2005;22:56-9.
5. Atkinson G, Jones H, Ainslie P. Circadian variation in the circulatory responses to exercise: relevance to the morning peaks in strokes and cardiac events. Eur J Appl Physiol. 2010;108:15-29.
6. Keatinge W, Donaldson G, Bucher K, Jendritsky G, Cordioli E, Martinelli M, Dardanoni L, Katsouyanni K, Kunst A, Mackenbach J, McDonald C, Vuori I. Cold exposure and winter mortality from ischemic heart disease, cerebrovascular disease, respiratory disease, and all causes in warm and cold regions of Europe. Lancet. 1997;349:1341-6.
7. Manfredini R, Fabbian F, Pala M, Tiseo R, De Giorgio A, Manfredini F, Malagoni A, Signani F, Andreati C, Boari B, Salmi R, Imberti D, Gallerani M. Seasonal and weekly patterns of occurance of acute cardiovascular diseases: does a gender difference exist? J Womens Health. 2011;20:1663-8.
8. Manfredini R, Manfredini F, Boari B, et al. Seasonal and weekly patterns of hospital admissions for nonfatal and fatal myocardial infarction. Am J Emerg Med. 2009;27:1097-103.
9. Manfredini R, Manfredini F, Boari B, Bergami E, Mari E, Gamberini S, Salmi R, Gallerani M. Temporal patterns of hospital admissions for transcient ischemic attack: a retrospective population-based study in the Emilia-Romagna region of Italy. Clin Appl Thromb Hemost. 2009;16:153-60.
10. Salvi F, Bartolomei I, Smolensky M, Lorusso A, Barbarossa E, Malagoni A, Zamboni P, Manfredini R. A seasonal periodicity in relapses of multiple sclerosis? A single-centre, population-based, preliminary study conducted in Bologna, Italy. BMC Neurol. 2010;10:105-11.
11. Willich S, Lowel H, Lewis M, Hormann A, Arntz H, Keil U. Weekly variation of acute myocardial infarction: increased monday risk in the working population. Circulation. 1994;90:87-93.
12. th revision. Aust Health Rev. 2014;38:70-9.
13. Cantwell K, Morgans A, Dietze P, Smith K. Ambulance demand: random events or predictable patterns? Emerg Med J. 2013;30:883-7.
14. Ong M, Ng F, Overton J, Anderson D, Yong D, Lim S, Anantharaman V. Geographic-time distribution of ambulance calls in Singapore: utility of geographic information system in ambulance deployment (CARE 3). Ann Acad Med Singapore. 2009;38:184-91.
15. Vargas Roman M, de Miguel A, Garrido P, Alvarez J. Epidemiologic intervention framework of a prehospital emergency medical service. Prehosp Emerg Care. 2005;9:344-55.
16. Boyd J, Kuisma M, Randell T. Temporal differences in gamma-hydroxybutyrate overdoses involving injecting drug users versus recreational drug users in Helsinki: a retrospective study. Scand J Trauma Resusc Emerg Med. 2012;20.
17. Degenhardt L, Adelstein B. Ambulance calls to suspected overdoses: New South Wales patterns July 1997 to June 1999. Aust N Z J Public Health. 2001;25:447-50.
18. Dietze P, Cvetkovski, S., Rumbold, G, Miller, P. Ambulance attendance at heroin overdose in Melbourne: the establishment of a database of Ambulance Service records. Drug Alcohol Rev. 2000;19:27-33.
19. Dietze P, Jolley D, Cvetkovski S, Cantwell K, Jacobs I, Indig D. Characteristics of non-fatal opioid overdoses attended by ambulance services in Australia. Aust N Z J Public Health. 2004;28:569-75.
20. Levine R, Pepe P, Fromm R, Curka P, Clark P. Prospective evidence of a circadian rhythm for out-of-hospital cardiac arrests. JAMA. 1992;267:2935-7.
21. Ong M, Tan E, Yan X, Anushia P, Lim S, Leong B, Ong V, Tiah L, Yap S, Overton J, Anantharaman V. An observational study describing the geographic-time distribution of cardiac arrests in Singapore: what is the utility of geographic information systems for planning public access defibrillation? (PADS Phase I). Resuscitation. 2008;76:388-96.
22. Togia A, Sergentanis T, Sindos M, Ntourakis D, Doumouchtsis E, Sergentanis I, Bachtis C, Pyrros D, Papaefstathiou N. Drug abuse-related emergency calls: a metropolis-wide study. Prehosp Disaster Med. 2008;23:36-40.
23. Victor C, Peacock J, Chazot C, Walsh S, Holmes D. Who calls 999 and why? A survey of the emergency workload of the London Ambulance Service. J Accid Emerg Med. 1999;16:174-8.
24. Zakariassen E, Burman R, Hunskaar S. The epidemiology of medical emergency contacts outside hospitals in Norway - a prospective population based study. Scand J Trauma Resusc Emerg Med. 2010;18:1-9.
25. Backe S, Andersson R. Monitoring the "tip of the iceberg": ambulance records as a source of injury surveillance. Scand J Public Health. 2008;36:250-7.
26. Boyle M, Smith E, Archer F. Trauma incidents attended by emergency medical services in Victoria, Australia. Prehosp Disaster Med. 2008;23:20-8.
27. Keskinoglu P, Sofuoglu T, Ozmen O, Gunduz M, Ozkan M. Older people's use of pre-hospital emergency medical services in Izmir, Turkey. Arch Gerontol Geriatr. 2010;50:356-60.
28. Australian Bureau of Statistics. Population Projections, Australia, 2012 (base) to 2101. Canberra: Australian Bureau of Statistics; 2013.
29. Manfredini R, La Cecilia O, Boari B, Steliu J, Michelini V, Carli P, Zanotti C, Bigoni M, Gallerani M. Circadian pattern of emergency calls: implications for ED organisations. Am J Emerg Med. 2002;20:282-6.
30. Australian Bureau of Statistics. Census of Population and Housing. In: Canberra: Australian Bureau of Statistics; 2011.
31. Cox S, Martin R, Somaia P, Smith K. The development of a data-matching algorithm to define the 'case patient'. Aust Health Rev. 2013;37:54-9.
32. Lam S, Zhang Z, Oh H, Ng Y, Wah W, Ong M. Reducing ambulance response times using discrete event simulation. Prehosp Emerg Care. 2014;18:207-16.
33. Cox N. Speaking Stata: In praise of trigonometric predictors. Stata J. 2006;6:561-79.
34. Burt C, McCalg L, Valverde R. Analysis of ambulance transports and diversions among US emergency departments. Ann Emerg Med. 2006;47:317-26.
35. Do Y, Foo K, Ng Y, Ong M. A quantile regression analysis of ambulance response times. Prehosp Emerg Care. 2013;17:170-6.