Background Pre-hospital emergency medical services (EMS) are an integral part of emergency medical care. EMS planning can be achieved by analyzing patterns of use. However, long-term time trends of EMS use have rarely been studied. The objective of this retrospective study was to investigate utilization patterns over a ten year period, and to compare utilization trends between urban and rural municipalities and between events with and without prehospital emergency physician (PEP) dispatch. Methods Routine data collected by 26 dispatch centers in the federal state of Bavaria, Germany, from 2007 to 2016 was analyzed. Emergency locations were classified into five levels of rurality. Negative binomial mixed effects regression models were fitted to predict emergency rates and to investigate differences in rates and utilization trends. Graphical representation methods were used to compare distribution of transport rates and distribution across daytime and weekday. Results Twelve million two hundred thousand one hundred fifty-five dispatches assigned to 7,725,636 single emergencies were included. The mean number of emergencies per year and 1000 population (emergency rate) was 42.8 (±16.0) in rural municipalities and 80.7 (±9.3) in large cities. Compared to rural municipalities, cities had higher emergency rates without (IRR = 3.0, CI 2.2–4.0) and with pre-hospital physicians (IRR = 1.5, CI 1.2–2.0). Between 2007 and 2016, the absolute number of emergencies increased by 49.1%. Estimated annual percent change of emergency rates without physician activation ranged from 5.7% (CI 4.3–7.1) in cities to 7.8% (CI 7.6–7.9) in rural areas. Changes in emergency rates with physician attendance were lower, with estimated increases between 1.3 and 2.4%. The average proportion of patients transported to a hospital was lower in cities and remained unchanged. There were no considerable differences or changes in the distribution across daytime and weekdays. Conclusion Differences between cities and other areas suggest that the planning of EMS should be targeted to regional characteristics. A substantial increase in emergency rates was observed across all areas of Bavaria, but did not impact transport rates or temporal distributions. Further research is needed to better understand the urgency of emergency events and reasons behind increasing EMS utilization.
ObjectiveRising emergency medical services (EMS) utilisation increases transport to hospital emergency departments (ED). However, some patients receive outpatient treatment (discharged) while others are hospitalised (admitted). The aims of this analysis were to compare admitted and discharged cases, to assess whether cases that were discharged from the ED could be identified using dispatch data and to compare dispatch keyword categories and hospital diagnoses.DesignRetrospective observational study using linked secondary data.Setting and participants78 303 cases brought to 1 of 14 ED in the city of Munich, Germany, by EMS between 1 July 2013 and 30 June 2014.Main outcome measuresCharacteristics of admitted and discharged cases were assessed. Logistic regression was used to estimate the association between discharge and age, sex, time of day, ambulance type and dispatch keyword category. Keyword categories were compared to hospital diagnoses.Results39.4% of cases were discharged. They were especially likely to be young (OR 10.53 (CI 9.31 to 11.92), comparing <15-year-olds to >70-year-olds) and to fall under the categories ‘accidents/trauma’ (OR 2.87 (CI 2.74 to 3.01)) or ‘other emergencies (unspecified)’ (OR 1.23 (CI 1.12 to 1.34) (compared with ‘cardiovascular’). Most frequent diagnoses came from chapter ‘injury and poisoning’ (30.1%) of the 10th revision of the international statistical classification of disease and related health problems (ICD-10), yet these diagnoses were more frequent at discharge (42.7 vs 22.0%) whereas circulatory system disease was less frequent (2.6 vs 21.8%). Except for accidents/trauma and intoxication/poisoning many underlying diagnoses were observed for the same dispatch keyword.ConclusionYoung age and dispatch for accidents or trauma were the strongest predictors of discharge. Even within the same dispatch keyword category the distribution of diagnoses differed between admitted and discharged cases. Discharge from the ED does not indicate that urgent response was unnecessary. However, these cases could be suitable for allocation to hospitals with low inpatient bed capacities and are of particular interest for future studies regarding the urgency of their condition.
Zusammenfassung Hintergrund Die Inanspruchnahme des Rettungsdienstes in Bayern steigt seit Jahren an. Wir haben die Hypothese aufgestellt, dass Notfalleinsätze ohne Patiententransport (RoT) häufig Ausdruck einer unzureichenden Alarmierungsplanung sind. Das Ziel der Studie war es, für solche Einsätze die Unterschiede zwischen den Integrierten Leitstellen (ILS) in Bezug auf die Merkmale Transportquoten und Spannweiten nach Einsatzgrund sowie Uhrzeiten und Wochentage zu beschreiben. Methode Retrospektive Querschnittstudie der Daten aller 26 ILS des Freistaats Bayern im Jahr 2018. Transportquoten für wesentliche Einsatzgründe bei Notfalleinsätzen ohne Notarztbeteiligung wurden in Abhängigkeit von Leitstellenbereich, Tageszeit und Wochentag vergleichend analysiert. Einsätze wurden kategorisiert als RoT oder TP (Rettungswageneinsatz mit Transport). Ergebnisse Von 510.145 Einsätzen waren 147.621 (28,9 %) RoT und 362.524 (71,1 %) TP. Für alle untersuchten Einsatzgründe zeigten sich deutliche regionale Unterschiede in der Transportquote. Die höchste Spannweite unter den ILS ergab sich für die Einsatzgründe „Brandmeldeanlage“ (16,8 Prozentpunkte), „Hausnotruf aktiver Alarm“ (16,1) sowie „Herz/Kreislauf“ (14,6). In den Morgenstunden sinkt das Einsatzaufkommen bei steigenden TP. Die wenigsten RoT fanden zwischen 8 und 10 Uhr statt. Die Analyse der Wochentage ergab kleine Unterschiede in der Häufigkeit von RoT an Montagen sowie an Wochenenden ohne planerische Relevanz. Schlussfolgerung Wir haben deutliche Unterschiede in den Spannweiten festgestellt. Dies könnte auf örtlich unterschiedliche Alarmierungsplanungsvorgaben oder Dispositionsentscheidungen der ILS hindeuten. Die Leitstellen weisen hier wahrscheinlich ein erhebliches Potenzial zur Steuerung und Verbesserung der Ressourcenallokation auf.
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