Evidence map›Paper›PMID 34748025›Full record

ArticleDie Anaesthesiologie2022

[Frequency distribution and coordination of emergency operations in German hospitals (FACE) : Analysis in 26 hospitals depending on the level of care].

Matthias Janda, O Karaca, A Brosin, D A Reuter, M Schuster

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In one paragraph

Article in Die Anaesthesiologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Matthias JandaKlinik und Poliklinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, Schillingallee 35, 18057, Rostock, Deutschland. matthias.janda@med.uni-rostock.de.
O Karacadigmed GmbH, Flachsland 23, 22083, Hamburg, Deutschland.
A BrosinKlinik und Poliklinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, Schillingallee 35, 18057, Rostock, Deutschland.
D A ReuterKlinik und Poliklinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, Schillingallee 35, 18057, Rostock, Deutschland.
M SchusterKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, RKH-Kliniken Landkreis Karlsruhe, Fürst-Stirum-Klinik Bruchsal und Rechbergklinik Bretten, Gutleutstraße 1-14, 76646, Bruchsal, Deutschland.
Universitätsmedizin Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely emergency surgery is vital as this often has a direct impact on morbidity and mortality. The joint recommendations of the German Associations of Anesthesiologists (BDA), Surgeons (BDC), and Operating Room Management (VOp.M) for coordinative implementation have been available since 2016: N0 (surgery immediately), N1 (surgery start in the next free operating room), N2 (surgery start ≤ 6 h), N3 (surgery at the end of the elective schedule), N4/Urgent (surgery within 12-24 h). The aim of this study was to describe the situation of care in German hospitals of different sizes for the first time using routine data.

methodsThe data were collected in 26 hospitals with different levels of care over a period of 10 days. The frequency distribution of the individual emergency categories and the duration from the notification of the operation to the start of anesthesia or surgery were examined for the hospital as a whole and for the four operating departments with a typically high ratio of emergencies: general surgery, trauma surgery, gynecology/obstetrics and urology.

resultsA total of 1603 emergency surgical interventions were analyzed. The number of N0 cases was very low due to the specific entity of these emergencies, N1 made up approximately 13-15% of emergencies and categories N2-N4/Urgent comprised approximately 25-32% of emergencies each. The average duration between the notification of the operation and the start of anesthesia or surgery was (min): N0 20.7 ± 14.3 and 43.6 ± 31.8, N1 61.5 ± 48.7 and 90.1 ± 56.1, N2 187.9 ± 152.0 and 220.5 ± 153.4, N3 394.5 ± 392.3 and 428.3 ± 397.9 and N4/Urgent 494.8 ± 484.4 and 519.6 ± 486.6, respectively. The distribution of the emergency categories did not differ significantly between community hospitals compared to tertiary care hospitals, including university hospitals (p = 0.731) and also the duration between notification and start of anesthesia and operation was similar. Significant differences depending on the service level were only found for N1 until the start of anesthesia and for N3 until the start of anesthesia and of surgery. General surgery classified as N3 has a significantly shorter implementation time in community hospitals compared to tertiary care hospitals, including university hospitals, both at the start of anesthesia (mean 287.8 min versus 417.1 min; p = 0.045) and at the start of surgery (mean 316.3 min versus 459.0 min; p = 0.032). The implementation of trauma surgery emergencies classified as N1 took place, based on the start of surgery in community hospitals with an average duration of 91.2 min, statistically significantly faster than in hospitals with a maximum care of 133.0 min (p = 0.036). In urology, there were notable variations between smaller and larger hospitals in emergency interventions with the classification N4/Urgent for both periods of time, both up to the start of anesthesia (p = 0.012) and up to the start of surgery (p = 0.007). At an average of 291.8 min (start of anesthesia) or 294.4 min (start of surgery), the implementation time in hospitals with maximum care, including university hospitals, was shorter than in urological clinics of community providers (626.5 min and 645.6 min, respectively). In gynecology/obstetrics, there was no statistically significant difference between the two groups.

conclusionCases with high urgency were surgically treated within a short time period. Overall, differences in time management of emergencies were only small between hospital types. The gradations in the temporal implementation of the individual emergency categories were due particularly to distinctions in the resources available, such as the number of operating theaters, including the run times.

Indexed as

AnesthesiaAnesthesiologyEmergenciesFemaleHospitals, UniversityHumansOperating RoomsPregnancyEmergency managementHospital managementOperating room managementProcedural timesUrgency classification for emergency

Identifiers

PMID34748025
OpenAlexW3211948868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.