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10.1007/s10729-021-09548-2 http://scihub22266oqcxt.onion/10.1007/s10729-021-09548-2 33835338!8033099!33835338     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Health+Care+Manag+Sci 2021 ; 24 (2): 356-374 Nephropedia Template TP {{tp|p=33835338|t=2021. Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation |pdf=|usr=}}{{33835338}} gab.com Text Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation JO: Health Care Manag Sci http://www.kidney.de/pget.php?&tw=1&pmid=33835338 #FOAvip COVID-19 has disrupted healthcare operations and resulted in large-scale cancellations of elective surgery. Hospitals throughout the world made life-altering resource allocation decisions and prioritised the care of COVID-19 patients. Without effective models to evaluate resource allocation strategies encompassing COVID-19 and non-COVID-19 care, hospitals face the risk of making sub-optimal local resource allocation decisions. A discrete-event-simulation model is proposed in this paper to describe COVID-19, elective surgery, and emergency surgery patient flows. COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke's hospital in the UK. The model enabled the evaluation of three resource allocation strategies, for two COVID-19 wave scenarios: proactive cancellation of elective surgery, reactive cancellation of elective surgery, and ring-fencing operating theatre capacity. The results suggest that a ring-fencing strategy outperforms the other strategies, regardless of the COVID-19 scenario, in terms of total direct deaths and the number of surgeries performed. However, this does come at the cost of 50% more critical care rejections. In terms of aggregate hospital performance, a reactive cancellation strategy prioritising COVID-19 is no longer favourable if more than 7.3% of elective surgeries can be considered life-saving. Additionally, the model demonstrates the impact of timely hospital preparation and staff availability, on the ability to treat patients during a pandemic. The model can aid hospitals worldwide during pandemics and disasters, to evaluate their resource allocation strategies and identify the effect of redefining the prioritisation of patients. Twit Text FOAVip Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation ????Health Care Manag Sci http://www.kidney.de/pget.php?&tw=1&pmid=33835338 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33835338 #FOAvip English Wikipedia <ref>{{Cite pmid|33835338}}</ref> Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation #MMPMID33835338 Melman GJ; Parlikad AK; Cameron EAB Health Care Manag Sci 2021[Jun]; 24 (2): 356-374 PMID33835338show ga COVID-19 has disrupted healthcare operations and resulted in large-scale cancellations of elective surgery. Hospitals throughout the world made life-altering resource allocation decisions and prioritised the care of COVID-19 patients. Without effective models to evaluate resource allocation strategies encompassing COVID-19 and non-COVID-19 care, hospitals face the risk of making sub-optimal local resource allocation decisions. A discrete-event-simulation model is proposed in this paper to describe COVID-19, elective surgery, and emergency surgery patient flows. COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke's hospital in the UK. The model enabled the evaluation of three resource allocation strategies, for two COVID-19 wave scenarios: proactive cancellation of elective surgery, reactive cancellation of elective surgery, and ring-fencing operating theatre capacity. The results suggest that a ring-fencing strategy outperforms the other strategies, regardless of the COVID-19 scenario, in terms of total direct deaths and the number of surgeries performed. However, this does come at the cost of 50% more critical care rejections. In terms of aggregate hospital performance, a reactive cancellation strategy prioritising COVID-19 is no longer favourable if more than 7.3% of elective surgeries can be considered life-saving. Additionally, the model demonstrates the impact of timely hospital preparation and staff availability, on the ability to treat patients during a pandemic. The model can aid hospitals worldwide during pandemics and disasters, to evaluate their resource allocation strategies and identify the effect of redefining the prioritisation of patients. |*COVID-19[MESH] |*Efficiency, Organizational[MESH] |*Hospitals[MESH] |*Pandemics[MESH] |*Resource Allocation/methods[MESH] |Critical Care[MESH] |Elective Surgical Procedures[MESH] |Equipment and Supplies, Hospital/*supply & distribution[MESH] |Humans[MESH] |Operating Rooms[MESH] |SARS-CoV-2[MESH]Balancing scarce hospital resources during the COVID-19 pandemic using(epmc).pdf DeepDyve Pubget Overpricing