FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309467793> ?p ?o ?g. }

• W4309467793 abstract "Abstract Introduction Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most efficient ones, each of which is based on different parameters regarding the patient management in the ED. Methods In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9 March 2020 the Italian government issued the first decree regarding the urgent provisions in relation to the COVID-19 emergency. Besides, the Pearson correlation coefficient has been used to evaluate how much the EDWIN and NEDOCS indexes are linearly dependent. Results EDWIN index follows a trend consistent with the situation of the first lockdown period in Italy, defined by extreme limitations imposed by Covid-19 pandemic. The 8:00–20:00 time frame was the most congested, with peak values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn’t show a trend similar to the EDWIN one, resulting less reliable. The Pearson correlation coefficient between the two scales is 0,317. Conclusion In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to assess their efficacy, applying them to the case study of the Emergency Department of “San Giovanni di Dio e Ruggi d’Aragona” University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn’t show a significant correlation value." @default.
• W4309467793 created "2022-11-28" @default.
• W4309467793 creator A5004204609 @default.
• W4309467793 creator A5015834798 @default.
• W4309467793 creator A5030101234 @default.
• W4309467793 creator A5030272556 @default.
• W4309467793 creator A5051405884 @default.
• W4309467793 creator A5051479124 @default.
• W4309467793 date "2022-11-18" @default.
• W4309467793 modified "2023-10-18" @default.
• W4309467793 title "Overcrowding analysis in emergency department through indexes: a single center study" @default.
• W4309467793 cites W1536007651 @default.
• W4309467793 cites W1859212271 @default.
• W4309467793 cites W19937498 @default.
• W4309467793 cites W1998985281 @default.
• W4309467793 cites W2024784120 @default.
• W4309467793 cites W2036002307 @default.
• W4309467793 cites W2067638306 @default.
• W4309467793 cites W2077698860 @default.
• W4309467793 cites W2097386058 @default.
• W4309467793 cites W2117635270 @default.
• W4309467793 cites W2126644471 @default.
• W4309467793 cites W2143649626 @default.
• W4309467793 cites W2155765253 @default.
• W4309467793 cites W2168592380 @default.
• W4309467793 cites W2464949157 @default.
• W4309467793 cites W2494454509 @default.
• W4309467793 cites W2506448807 @default.
• W4309467793 cites W2743729679 @default.
• W4309467793 cites W2795324379 @default.
• W4309467793 cites W2810413311 @default.
• W4309467793 cites W2902976548 @default.
• W4309467793 cites W2921077630 @default.
• W4309467793 cites W2970722156 @default.
• W4309467793 cites W2971032786 @default.
• W4309467793 cites W2997137449 @default.
• W4309467793 cites W3004587016 @default.
• W4309467793 cites W3006854423 @default.
• W4309467793 cites W3013265728 @default.
• W4309467793 cites W3028660784 @default.
• W4309467793 cites W3028726648 @default.
• W4309467793 cites W3031159193 @default.
• W4309467793 cites W3037346525 @default.
• W4309467793 cites W3045825370 @default.
• W4309467793 cites W3081460727 @default.
• W4309467793 cites W3108233638 @default.
• W4309467793 cites W3109014789 @default.
• W4309467793 cites W3150430022 @default.
• W4309467793 cites W3200156120 @default.
• W4309467793 cites W3209581632 @default.
• W4309467793 cites W3211023850 @default.
• W4309467793 cites W3213306571 @default.
• W4309467793 cites W4200451843 @default.
• W4309467793 cites W4213129801 @default.
• W4309467793 cites W4225319050 @default.
• W4309467793 cites W4236706032 @default.
• W4309467793 cites W4245149741 @default.
• W4309467793 cites W4291020836 @default.
• W4309467793 doi "https://doi.org/10.1186/s12873-022-00735-0" @default.
• W4309467793 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36401158" @default.
• W4309467793 hasPublicationYear "2022" @default.
• W4309467793 type Work @default.
• W4309467793 citedByCount "0" @default.
• W4309467793 crossrefType "journal-article" @default.
• W4309467793 hasAuthorship W4309467793A5004204609 @default.
• W4309467793 hasAuthorship W4309467793A5015834798 @default.
• W4309467793 hasAuthorship W4309467793A5030101234 @default.
• W4309467793 hasAuthorship W4309467793A5030272556 @default.
• W4309467793 hasAuthorship W4309467793A5051405884 @default.
• W4309467793 hasAuthorship W4309467793A5051479124 @default.
• W4309467793 hasBestOaLocation W43094677931 @default.
• W4309467793 hasConcept C136764020 @default.
• W4309467793 hasConcept C159110408 @default.
• W4309467793 hasConcept C17744445 @default.
• W4309467793 hasConcept C194828623 @default.
• W4309467793 hasConcept C199539241 @default.
• W4309467793 hasConcept C2777382242 @default.
• W4309467793 hasConcept C2778872837 @default.
• W4309467793 hasConcept C2780724011 @default.
• W4309467793 hasConcept C41008148 @default.
• W4309467793 hasConcept C545542383 @default.
• W4309467793 hasConcept C71924100 @default.
• W4309467793 hasConceptScore W4309467793C136764020 @default.
• W4309467793 hasConceptScore W4309467793C159110408 @default.
• W4309467793 hasConceptScore W4309467793C17744445 @default.
• W4309467793 hasConceptScore W4309467793C194828623 @default.
• W4309467793 hasConceptScore W4309467793C199539241 @default.
• W4309467793 hasConceptScore W4309467793C2777382242 @default.
• W4309467793 hasConceptScore W4309467793C2778872837 @default.
• W4309467793 hasConceptScore W4309467793C2780724011 @default.
• W4309467793 hasConceptScore W4309467793C41008148 @default.
• W4309467793 hasConceptScore W4309467793C545542383 @default.
• W4309467793 hasConceptScore W4309467793C71924100 @default.
• W4309467793 hasIssue "1" @default.
• W4309467793 hasLocation W43094677931 @default.
• W4309467793 hasLocation W43094677932 @default.
• W4309467793 hasLocation W43094677933 @default.
• W4309467793 hasOpenAccess W4309467793 @default.
• W4309467793 hasPrimaryLocation W43094677931 @default.
• W4309467793 hasRelatedWork W2009829414 @default.

• next