Literature DB >> 34204972

Burden of COVID-19 on Italian Internal Medicine Wards: Delphi, SWOT, and Performance Analysis after Two Pandemic Waves in the Local Health Authority "Roma 6" Hospital Structures.

Filomena Pietrantonio1,2, Francesco Rosiello1,3, Elena Alessi1, Matteo Pascucci1, Marianna Rainone1, Enrica Cipriano1, Alessandra Di Berardino1, Antonio Vinci4, Matteo Ruggeri2,5, Serafino Ricci6.   

Abstract

Background: COVID-19 causes major changes in day-to-day hospital activity due to its epidemiological characteristics and the clinical challenges it poses, especially in internal medicine wards. Therefore, it is necessary to understand and manage all of the implicated factors in order to maintain a high standard of care, even in sub-par circumstances.
Methods: This was a three-phase, mixed-design study. Initially, the Delphi method allowed us to analyze the causes of poor outcomes in a cohort of an aggregate of Italian COVID-19 wards via an Ishikawa diagram. Then, for each retrieved item, a score was assigned according to a pros/cons, opportunities/threats system. Scores were also assigned according to potential value/perceived risk. Finally, the performances of MCs (Medicine-COVID-19 wards) and MCFs (Medicine-COVID-19-free: Internal Medicine wards) units were represented via a Barber's nomogram.
Results: MCFs hospitalized 790 patients (-23.90% compared to 2019 Internal Medicine admissions). The main risk factors for mortality were patients admitted from local facilities (+7%) and the presence of comorbidities (>3: 100%, ≥5: 24.7%). A total of 197 (25%) patients were treated with non-invasive ventilation (NIV). The most deaths (57.14%) occurred in patients admitted from local facilities. Conclusions: Medicine-COVID-19 wards show higher complexity and demand compared to non-COVID-19 ones and they are comparable to sub-intensive therapy wards. It is necessary to promote the use of NIV in such settings.

Entities:  

Keywords:  COVID-19; Internal Medicine ward; territorial medicine

Year:  2021        PMID: 34204972     DOI: 10.3390/ijerph18115999

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  3 in total

1.  Emergency Medical Services Calls Analysis for Trend Prediction during Epidemic Outbreaks: Interrupted Time Series Analysis on 2020-2021 COVID-19 Epidemic in Lazio, Italy.

Authors:  Antonio Vinci; Amina Pasquarella; Maria Paola Corradi; Pelagia Chatzichristou; Gianluca D'Agostino; Stefania Iannazzo; Nicoletta Trani; Maria Annunziata Parafati; Leonardo Palombi; Domenico Antonio Ientile
Journal:  Int J Environ Res Public Health       Date:  2022-05-13       Impact factor: 4.614

2.  Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic.

Authors:  Stefano Barone; Alexander Chakhunashvili
Journal:  Qual Quant       Date:  2022-06-08

3.  Optimising the balance of acute and intermediate care capacity for the complex discharge pathway: Computer modelling study during COVID-19 recovery in England.

Authors:  Zehra Onen-Dumlu; Alison L Harper; Paul G Forte; Anna L Powell; Martin Pitt; Christos Vasilakis; Richard M Wood
Journal:  PLoS One       Date:  2022-06-07       Impact factor: 3.752

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.