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10.1371/journal.pone.0269639 http://scihub22266oqcxt.onion/10.1371/journal.pone.0269639 35696404!9191699!35696404     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2022 ; 17 (6): e0269639 Nephropedia Template TP {{tp|p=35696404|t=2022. Inequities in the incidence and mortality due to COVID-19 in nursing homes in Barcelona by characteristics of the nursing homes |pdf=|usr=}}{{35696404}} gab.com Text Inequities in the incidence and mortality due to COVID-19 in nursing homes in Barcelona by characteristics of the nursing homes JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=35696404 #FOAvip BACKGROUND: Residents of Nursing Homes (NHs) have suffered greater impacts from the COVID-19 pandemic. However, the rates of COVID-19 in these institutions are heterogeneously distributed. Describing and understanding the structural, functional, and socioeconomic differences between NHs is extremely important to avoid new outbreaks. OBJECTIVES: Analyze inequalities in the cumulative incidences (CIs) and in the mortality rates (MRs) due to COVID-19 in the NHs of Barcelona based on the characteristics of the NHs. METHODS: Exploratory ecological study of 232 NHs. The dependent variables were the cumulative incidence and mortality rate due to COVID-19 in NHs between March and June 2020. Structural variables of the NHs were evaluated such as neighborhood socioeconomic position (SEP), isolation and sectorization capacity, occupancy, overcrowding and ownership. RESULTS: The cumulative incidence and mortality rate were higher in the low SEP neighborhoods and lower in those of high SEP neighborhoods. Regarding the isolation and sectorization capacity, Type B NHs had a higher risk of becoming infected and dying, while Type C had a lower risk of dying than Type A. Greater overcrowding was associated with greater morbidity and mortality, and higher occupancy was associated with higher incidence. The risk of becoming infected and dying in public NHs was significantly higher than for-profit NH. CONCLUSIONS: The social components together with the functional and infrastructure characteristics of the NHs influence the cumulative incidence and the mortality rate by COVID-19. It is necessary to redefine the care model in the NHs to guarantee the health of the residents. Twit Text FOAVip Inequities in the incidence and mortality due to COVID-19 in nursing homes in Barcelona by characteristics of the nursing homes ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=35696404 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35696404 #FOAvip English Wikipedia <ref>{{Cite pmid|35696404}}</ref> Inequities in the incidence and mortality due to COVID-19 in nursing homes in Barcelona by characteristics of the nursing homes #MMPMID35696404 Torres ML; Palma Diaz D; Oliver-Parra A; Millet JP; Cosialls D; Guillaumes M; Rius C; Vasquez-Vera H PLoS One 2022[]; 17 (6): e0269639 PMID35696404show ga BACKGROUND: Residents of Nursing Homes (NHs) have suffered greater impacts from the COVID-19 pandemic. However, the rates of COVID-19 in these institutions are heterogeneously distributed. Describing and understanding the structural, functional, and socioeconomic differences between NHs is extremely important to avoid new outbreaks. OBJECTIVES: Analyze inequalities in the cumulative incidences (CIs) and in the mortality rates (MRs) due to COVID-19 in the NHs of Barcelona based on the characteristics of the NHs. METHODS: Exploratory ecological study of 232 NHs. The dependent variables were the cumulative incidence and mortality rate due to COVID-19 in NHs between March and June 2020. Structural variables of the NHs were evaluated such as neighborhood socioeconomic position (SEP), isolation and sectorization capacity, occupancy, overcrowding and ownership. RESULTS: The cumulative incidence and mortality rate were higher in the low SEP neighborhoods and lower in those of high SEP neighborhoods. Regarding the isolation and sectorization capacity, Type B NHs had a higher risk of becoming infected and dying, while Type C had a lower risk of dying than Type A. Greater overcrowding was associated with greater morbidity and mortality, and higher occupancy was associated with higher incidence. The risk of becoming infected and dying in public NHs was significantly higher than for-profit NH. CONCLUSIONS: The social components together with the functional and infrastructure characteristics of the NHs influence the cumulative incidence and the mortality rate by COVID-19. It is necessary to redefine the care model in the NHs to guarantee the health of the residents. |*COVID-19/epidemiology[MESH] |Health Facilities, Proprietary[MESH] |Humans[MESH] |Incidence[MESH] |Nursing Homes[MESH]Inequities in the incidence and mortality due to COVID-19 in nursing h(epmc).pdf DeepDyve Pubget Overpricing