Hospital admissions following emergency medical services in Germany: analysis of 2 million hospital cases in 2022 Krankenhausaufnahmen nach Rettungsmitteln in Deutschland: Analyse von 2 Mio. Krankenhausfällen im Jahr 2022

Medizinische Klinik - Intensivmedizin und Notfallmedizin(2024)

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摘要
Abstract Background The use of emergency medical services (EMS) in Germany has increased substantially over the last few decades. While current reform efforts aim to increase effectiveness and efficiency of the German hospital and EMS systems, there is lack of data on characteristics of hospital cases using EMS. Objectives To analyze and compare the characteristics of cases hospitalized with and without the use of EMS. Materials and methods The BARMER health insurance data on more than 2 million hospital cases admitted in 2022 were analyzed. The distributions of age, clinical complexity (measured by patient clinical complexity levels, PCCL), main diagnoses, costs for EMS and hospital treatment, and multiple severity indicators were described. The overall severity of hospital cases was classified as “low or moderate” or “high” based on a combined severity indicator. All analyses were stratified by use of EMS and EMS type. Results A total of 28% of all included hospital cases used EMS. Relative to hospital cases without use of EMS, hospital cases with use of EMS were older (physician-staffed ambulance: 75 years, interquartile range [IQR] 59–84, double-crewed ambulance: 78 years, IQR 64–85) and had a higher clinical complexity. The severity of more than 30% of the cases using EMS (except for patient transport service ambulance) was classified as “low or moderate”. The distributions of main diagnoses differed by severity and use of EMS. Conclusions The high proportion of cases with low or moderate severity using EMS may indicate a substantial potential to avoid the use of EMS in the context of hospital admissions in Germany. Further investigation is required to explore whether the proportion of cases using EMS could be reduced by optimizing preclinical service.
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