Is there an association between hospital staffing levels and inpatient-COVID-19 mortality rates?

被引:4
作者
Al-Amin, Mona [1 ]
Islam, Md. Nazmul [2 ]
Li, Kate [3 ]
Shiels, Natalie [2 ]
Buresh, John [2 ]
机构
[1] Suffolk Univ, Healthcare Adm, Boston, MA 02108 USA
[2] UnitedHealth Grp, Optum Labs, Minnetonka, MN USA
[3] Suffolk Univ, Sawyer Business Sch, Informat Syst & Operat Management, Boston, MA USA
来源
PLOS ONE | 2022年 / 17卷 / 10期
关键词
QUALITY-OF-CARE; SOCIAL VULNERABILITY; COVID-19; RISK; OUTCOMES; BURNOUT; IMPACT; MODEL; US;
D O I
10.1371/journal.pone.0275500
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective This study aims to investigate the relationship between RNs and hospital-based medical specialties staffing levels with inpatient COVID-19 mortality rates. Methods We relied on data from AHA Annual Survey Database, Area Health Resource File, and UnitedHealth Group Clinical Discovery Database. In phase 1 of the analysis, we estimated the risk-standardized event rates (RSERs) based on 95,915 patients in the UnitedHealth Group Database 1,398 hospitals. We then used beta regression to analyze the association between hospital- and county- level factors with risk-standardized inpatient COVID-19 mortality rates from March 1, 2020, through December 31, 2020. Results Higher staffing levels of RNs and emergency medicine physicians were associated with lower COVID-19 mortality rates. Moreover, larger teaching hospitals located in urban settings had higher COVID-19 mortality rates. Finally, counties with greater social vulnerability, specifically in terms of housing type and transportation, and those 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. More research is needed to determine appropriate staffing levels and how staffing levels interact with other factors such as teams, leadership, and culture to impact patient care during pandemics.
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页数:13
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