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10.1590/1516-3180.2020.0517.R1.0212020 http://scihub22266oqcxt.onion/10.1590/1516-3180.2020.0517.R1.0212020 33729421!9632516!33729421     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sao+Paulo+Med+J 2021 ; 139 (2): 178-185 Nephropedia Template TP {{tp|p=33729421|t=2021. Estimating Brazilian states demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model |pdf=|usr=}}{{33729421}} gab.com Text Estimating Brazilian states demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model JO: Sao Paulo Med J http://www.kidney.de/pget.php?&tw=1&pmid=33729421 #FOAvip BACKGROUND: The fragility of healthcare systems worldwide had not been exposed by any pandemic until now. The lack of integrated methods for bed capacity planning compromises the effectiveness of public and private hospitals' services. OBJECTIVES: To estimate the impact of the COVID-19 pandemic on the provision of intensive care unit and clinical beds for Brazilian states, using an integrated model. DESIGN AND SETTING: Experimental study applying healthcare informatics to data on COVID-19 cases from the official electronic platform of the Brazilian Ministry of Health. METHODS: A predictive model based on the historical records of Brazilian states was developed to estimate the need for hospital beds during the COVID-19 pandemic. RESULTS: The proposed model projected in advance that there was a lack of 22,771 hospital beds for Brazilian states, of which 38.95% were ICU beds, and 61.05% were clinical beds. CONCLUSIONS: The proposed approach provides valuable information to help hospital managers anticipate actions for improving healthcare system capacity. Twit Text FOAVip Estimating Brazilian states demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model ????Sao Paulo Med J http://www.kidney.de/pget.php?&tw=1&pmid=33729421 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33729421 #FOAvip English Wikipedia <ref>{{Cite pmid|33729421}}</ref> Estimating Brazilian states demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model #MMPMID33729421 Almeida JFF; Conceicao SV; Pinto LR; Horta CJG; Magalhaes VS; Campos FCC Sao Paulo Med J 2021[Mar]; 139 (2): 178-185 PMID33729421show ga BACKGROUND: The fragility of healthcare systems worldwide had not been exposed by any pandemic until now. The lack of integrated methods for bed capacity planning compromises the effectiveness of public and private hospitals' services. OBJECTIVES: To estimate the impact of the COVID-19 pandemic on the provision of intensive care unit and clinical beds for Brazilian states, using an integrated model. DESIGN AND SETTING: Experimental study applying healthcare informatics to data on COVID-19 cases from the official electronic platform of the Brazilian Ministry of Health. METHODS: A predictive model based on the historical records of Brazilian states was developed to estimate the need for hospital beds during the COVID-19 pandemic. RESULTS: The proposed model projected in advance that there was a lack of 22,771 hospital beds for Brazilian states, of which 38.95% were ICU beds, and 61.05% were clinical beds. CONCLUSIONS: The proposed approach provides valuable information to help hospital managers anticipate actions for improving healthcare system capacity. |*COVID-19[MESH] |*Pandemics[MESH] |Bed Occupancy/*statistics & numerical data[MESH] |Brazil/epidemiology[MESH] |Hospitals[MESH] |Humans[MESH] |Intensive Care Units/*statistics & numerical data[MESH]Estimating Brazilian states demands for intensive care unit and clini(epmc).pdf DeepDyve Pubget Overpricing