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Is there an association between hospital staffing levels and inpatient-COVID-19 mortality rates?
Al-Amin, Mona; Islam, Md Nazmul; Li, Kate; Shiels, Natalie; Buresh, John.
  • Al-Amin M; Healthcare Administration, Suffolk University, Boston, Massachusetts, United States of America.
  • Islam MN; Optum Labs, UnitedHealth Group, Minnetonka, Minnesota, United States of America.
  • Li K; Information Systems and Operations Management, Sawyer Business School, Suffolk University, Boston, Massachusetts, United States of America.
  • Shiels N; Optum Labs, UnitedHealth Group, Minnetonka, Minnesota, United States of America.
  • Buresh J; Optum Labs, UnitedHealth Group, Minnetonka, Minnesota, United States of America.
PLoS One ; 17(10): e0275500, 2022.
Article in English | MEDLINE | ID: covidwho-2079745
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Emergency Medicine / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0275500

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Emergency Medicine / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0275500