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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7575| Inpatient COVID-19 Mortality Rates: What are the predictors? | |
| MONA AL-AMIN Md. Nazmul Islam Kate Li Natalie Sheils John Buresh | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2022.01.07.22268906 | |
| https://www.medrxiv.org/content/10.1101/2022.01.07.22268906v1 | |
| Objective: This study aims to investigate the relationship between registered nurses and hospital-based medical specialties staffing levels with inpatient COVID-19 mortality rates. Methods: We rely on data from AHA Annual Survey Database, Area Health Resource File, and UnitedHealth Group Clinical Discovery Database. We use linear regression to analyze the association between hospital staffing levels and bed capacity with inpatient COVID-19 mortality rates from March 1, 2020, through December 31, 2020. Results: Higher staffing levels of registered nurses, hospitalists, and emergency medicine physicians were associated with lower COVID-19 mortality rates. Moreover, a higher number of ICU and skilled nursing beds were associated with better patient outcomes. Hospitals located in urban counties with high infection rates had the worst patient mortality rates. Conclusion: Higher staffing levels are associated with lower inpatient mortality rates for COVID-19 patients. A future assessment is needed to establish benchmarks on the minimum staffing levels for nursing and hospital-based medical specialties during pandemics. | |
| medRxiv and bioRxiv | |
| 07-01-2022 | |
| Preimpreso | |
| www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Inpatient COVID 19 Mortality Rates_ What are the predictors.pdf | 107.45 kB | Adobe PDF | Visualizar/Abrir |