Files and links (1)
CC BY-NC V4.0, Open Access
Journal article
Nursing workforce plays a significant role in reducing COVID-19 deaths worldwide: A cross-sectional analysis of data from 178 countries
Nursing and Health Sciences , Vol.26(1), e13099
2024
Abstract
Worldwide, the role of nursing workforce in reducing COVID-19 case fatality ratio (CFR) is analyzed with scatter plots, Pearson's r and nonparametric, partial correlation and multiple linear regression models. The potential confounders, median age, health expenditure, physician density, and urbanization were incorporated for calculating the independent role of nursing workforce in protecting against COVID-19 CFR. The study findings suggested that (1) the nursing workforce inversely and significantly correlates with COVID-19 CFR; (2) this relationship remained independent of the confounding effects of each individual confounder or their combination; (3) Nursing workforce was the only variable identified as a significant contributor for reducing COVID-19 CFR, when it was incorporated into stepwise regression model with health expenditure, median age, physician density, and urbanization for analyzing their individual predicting effects on COVID-19 CFR. A strong message for the health authorities is that, although in shortage, nursing workforce showed their significant role in reducing COVID-19 deaths worldwide. This study highlights that the role of nursing workforce should be incorporated into population health research.
Details
- Title
- Nursing workforce plays a significant role in reducing COVID-19 deaths worldwide: A cross-sectional analysis of data from 178 countries
- Authors/Creators
- Wenpeng You - The University of AdelaideFrank Donnelly - Murdoch University, School of Nursing
- Publication Details
- Nursing and Health Sciences , Vol.26(1), e13099
- Publisher
- John Wiley & Sons Australia, Ltd.
- Number of pages
- 9
- Identifiers
- 991005741681807891
- Copyright
- © 2024 The Authors.
- Murdoch Affiliation
- School of Nursing
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
43 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.21 Psychiatry
- 1.21.1179 Mindfulness and Mental Health
- Web Of Science research areas
- Nursing
- ESI research areas
- Clinical Medicine