Skip to main content

2023 | OriginalPaper | Buchkapitel

The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals

verfasst von : Montella Emma, Marta Rosaria Marino, Miriam Rita Castorina, Sara Ranucci, Massimo Majolo, Eliana Raiola, Giuseppe Russo, Giuseppe Longo, Morena Anna Basso, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

CoViD-19 pandemic caused a severe changing of healthcare facilities activities. Specifically, one of the most affected areas are the Department of Emergency Surgery that have been reorganized to face the emergency giving priority to urgent procedures at cost of those which could be deferred. This study evaluates the impact of the pandemic on the departments of two different Italian Hospitals: “San Giovanni di Dio and Ruggi d’Aragona” University Hospital in Salerno and the AORN “A. Cardarelli” of Napoli. Two different analyses (statistical and machine learning) have been provided for investigating patients in 2019, as an example of the normal activity before the pandemic, and those recorded in 2020, in which the pandemic reached its peak. The evaluation performed showed an increase in the urgent hospitalization and Diagnostic Related Group while transfers to Social Care Residences (RSA) decreased in both the Hospitals, even if the steepness of these changes are consistent with the starting values.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
3.
Zurück zum Zitat Giesen, N., et al.: Evidence-based management of COVID-19 in cancer patients: guideline by the infectious diseases working party (AGIHO) of the German society for Haematology and medical oncology (DGHO). Eur. J. Cancer (Oxford, England : 1990) 140, 86–104. (2020). https://doi.org/10.1016/j.ejca.2020.09.009 Giesen, N., et al.: Evidence-based management of COVID-19 in cancer patients: guideline by the infectious diseases working party (AGIHO) of the German society for Haematology and medical oncology (DGHO). Eur. J. Cancer (Oxford, England : 1990) 140, 86–104. (2020). https://​doi.​org/​10.​1016/​j.​ejca.​2020.​09.​009
12.
Zurück zum Zitat Ascione, T., Balato, G., Mariconda, M., Rotondo, R., Baldini, A., Pagliano, P.: Continuous antibiotic therapy can reduce recurrence of prosthetic joint infection in patients undergoing 2-stage exchange. J Arthroplasty. 34(4), 704–709 (2019)CrossRefPubMed Ascione, T., Balato, G., Mariconda, M., Rotondo, R., Baldini, A., Pagliano, P.: Continuous antibiotic therapy can reduce recurrence of prosthetic joint infection in patients undergoing 2-stage exchange. J Arthroplasty. 34(4), 704–709 (2019)CrossRefPubMed
25.
Zurück zum Zitat Balato, G., et al.: Hip and knee section, prevention, surgical technique: proceedings of international consensus on orthopedic infections. J. Arthroplasty. 34(2S), S301–S307 (2019)CrossRefPubMed Balato, G., et al.: Hip and knee section, prevention, surgical technique: proceedings of international consensus on orthopedic infections. J. Arthroplasty. 34(2S), S301–S307 (2019)CrossRefPubMed
27.
Zurück zum Zitat Balato, G., Rizzo, M., Ascione, T., Smeraglia, F., Mariconda, M.: Re-infection rates and clinical outcomes following arthrodesis with intramedullary nail and external fixator for infected knee prosthesis: a systematic review and meta-analysis. BMC Musculoskelet Disord. 19(1), 361 (2018)CrossRefPubMedPubMedCentral Balato, G., Rizzo, M., Ascione, T., Smeraglia, F., Mariconda, M.: Re-infection rates and clinical outcomes following arthrodesis with intramedullary nail and external fixator for infected knee prosthesis: a systematic review and meta-analysis. BMC Musculoskelet Disord. 19(1), 361 (2018)CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Scala, A., Loperto, I., Carrano, R., Federico, S., Triassi, M., Improta, G.: Assessment of proteinuria level in nephrology patients using a machine learning approach. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 13–16. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3472813.3472816 Scala, A., Loperto, I., Carrano, R., Federico, S., Triassi, M., Improta, G.: Assessment of proteinuria level in nephrology patients using a machine learning approach. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 13–16. Association for Computing Machinery, New York (2021). https://​doi.​org/​10.​1145/​3472813.​3472816
32.
Zurück zum Zitat Cortesi, P. A., et al.: Cost-effectiveness and budget impact of Emicizumab prophylaxis in Haemophilia a patients with inhibitors. Thrombosis and Haemostasis (2019) Cortesi, P. A., et al.: Cost-effectiveness and budget impact of Emicizumab prophylaxis in Haemophilia a patients with inhibitors. Thrombosis and Haemostasis (2019)
33.
Zurück zum Zitat Santini, S., et al.: Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. In: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference, pp. 1–6. IEEE, July 2017 Santini, S., et al.: Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. In: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference, pp. 1–6. IEEE, July 2017
34.
Zurück zum Zitat Improta, G., Colella, Y., Rossi, G., Borrelli, A., Russo, G., Triassi, M.:. Use of machine learning to predict abandonment rates in an emergency department. In: 2021 10th International Conference on Bioinformatics and Biomedical Science (ICBBS 2021), pp. 153–156. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3498731.3498755 Improta, G., Colella, Y., Rossi, G., Borrelli, A., Russo, G., Triassi, M.:. Use of machine learning to predict abandonment rates in an emergency department. In: 2021 10th International Conference on Bioinformatics and Biomedical Science (ICBBS 2021), pp. 153–156. Association for Computing Machinery, New York (2021). https://​doi.​org/​10.​1145/​3498731.​3498755
35.
Zurück zum Zitat Ponsiglione, A.M., et al.: A hybrid analytic hierarchy process and likert scale approach for the quality assessment of medical education programs. Mathematics 10(9), 1426 (2022)CrossRef Ponsiglione, A.M., et al.: A hybrid analytic hierarchy process and likert scale approach for the quality assessment of medical education programs. Mathematics 10(9), 1426 (2022)CrossRef
36.
Zurück zum Zitat Trunfio, T.A., et al.: Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Med. Inf. Decis. Making 22(1), 1–8 (2022) Trunfio, T.A., et al.: Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Med. Inf. Decis. Making 22(1), 1–8 (2022)
37.
Zurück zum Zitat Balato, M., et al.: On the necessity of a customized knee spacer in Peri-prosthetic joint infection treatment: 3D numerical simulation results. J Pers Med. 11(10), 1039 (2021)CrossRefPubMedPubMedCentral Balato, M., et al.: On the necessity of a customized knee spacer in Peri-prosthetic joint infection treatment: 3D numerical simulation results. J Pers Med. 11(10), 1039 (2021)CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Cesarelli, G., et al.: An innovative business model for a multi-echelon supply chain inventory management pattern. J. Phys. Conf. Ser. 1828(1). IOP Publishing (2021) Cesarelli, G., et al.: An innovative business model for a multi-echelon supply chain inventory management pattern. J. Phys. Conf. Ser. 1828(1). IOP Publishing (2021)
40.
Zurück zum Zitat Cesarelli, G., Montella, E., Scala, A., Raiola, E., Triassi, M., Improta, G.: DMAIC approach for the reduction of healthcare-associated infections in the neonatal intensive care unit of the university hospital of Naples ‘Federico II.’ In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 414–423. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64610-3_48CrossRef Cesarelli, G., Montella, E., Scala, A., Raiola, E., Triassi, M., Improta, G.: DMAIC approach for the reduction of healthcare-associated infections in the neonatal intensive care unit of the university hospital of Naples ‘Federico II.’ In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 414–423. Springer, Cham (2021). https://​doi.​org/​10.​1007/​978-3-030-64610-3_​48CrossRef
42.
43.
Zurück zum Zitat De Franco, C., et al.: The active knee extension after extensor mechanism reconstruction using allograft is not influenced by “early mobilization”: a systematic review and meta-analysis. J. Orthop. Surg. Res. 17(1), 153 (2022)CrossRefPubMedPubMedCentral De Franco, C., et al.: The active knee extension after extensor mechanism reconstruction using allograft is not influenced by “early mobilization”: a systematic review and meta-analysis. J. Orthop. Surg. Res. 17(1), 153 (2022)CrossRefPubMedPubMedCentral
44.
Zurück zum Zitat Angela Trunfio, T., de Coppi, L., Alfano, R., Borrelli, A., Ferrucci, G., Gargiulo, P.: The effect of CoViD-19 pandemic on the hospitalization of a department of emergency surgery. In: International Symposium on Biomedical Engineering and Computational Biology, pp. 1–4 (2021) Angela Trunfio, T., de Coppi, L., Alfano, R., Borrelli, A., Ferrucci, G., Gargiulo, P.: The effect of CoViD-19 pandemic on the hospitalization of a department of emergency surgery. In: International Symposium on Biomedical Engineering and Computational Biology, pp. 1–4 (2021)
54.
Zurück zum Zitat Montella, E., et al.: Predictive analysis of healthcare-associated blood stream infections in the neonatal intensive care unit using artificial intelligence: a single center study. Int. J. Environ. Res. Public Health 19(5), 2498 (2022)CrossRefPubMedPubMedCentral Montella, E., et al.: Predictive analysis of healthcare-associated blood stream infections in the neonatal intensive care unit using artificial intelligence: a single center study. Int. J. Environ. Res. Public Health 19(5), 2498 (2022)CrossRefPubMedPubMedCentral
56.
Zurück zum Zitat Improta, G., et al.: Use of machine learning to predict abandonment rates in an emergency department. In: 2021 10th International Conference on Bioinformatics and Biomedical Science (2021) Improta, G., et al.: Use of machine learning to predict abandonment rates in an emergency department. In: 2021 10th International Conference on Bioinformatics and Biomedical Science (2021)
Metadaten
Titel
The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals
verfasst von
Montella Emma
Marta Rosaria Marino
Miriam Rita Castorina
Sara Ranucci
Massimo Majolo
Eliana Raiola
Giuseppe Russo
Giuseppe Longo
Morena Anna Basso
Giuseppe Ferrucci
Anna Borrelli
Maria Triassi
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-25191-7_44

Premium Partner