| Autor: |
Matteo, Nocci, Luca, Ragazzoni, Francesco, Barone-Adesi, Ives, Hubloue, Stefano, Romagnoli, Adriano, Peris, Pietro, Bertini, Sabino, Scolletta, Fabrizio, Cipollini, Maria T, Mechi, Francesco, Della Corte |
| Přispěvatelé: |
Supporting clinical sciences, Emergency Medicine |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.23736/s0375-9393.22.16460-6 |
| Popis: |
BACKGROUND: The COVID-19 pandemic has provided an unprecedented scenario to deepen knowledge of surge capacity (SC), assessment of which remains a challenge. This study reports a large-scale experience of a multi-hospital network, with the aim of evaluating the characteristics of different hospitals involved in the response and of measuring a real-time SC based on two complementary modalities (actual, base) referring to the intensive care units (ICU). METHODS: Data analysis referred to two consecutive pandemic waves (March-December 2020). Regarding SC, two different levels of analysis are considered: single hospital category (referring to a six-level categorization based on the number of hospital beds) and multi-hospital wide (referring to the response of the entire hospital network). RESULTS: During the period of 114 days, the analysis revealed a key role of the biggest hospitals (>Category-4) in terms of involvement in the pandemic response. In terms of SC, Category-4 hospitals showed the highest mean SC values, irrespective of the calculation method and level of analysis. At the multi-hospital level, the analysis revealed an overall ICU-SC (base) of 84.4% and an ICU-SC (actual) of 106.5%. CONCLUSIONS: The results provide benchmarks to better understand ICU hospital response capacity, highlighting the need for a more flexible approach to SC definition. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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