Nursing Absenteeism During the COVID-19 Pandemic: A Comparative Analysis Among Nursing Assistants, Technicians, and Nurses

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Abstract This study investigated absenteeism among nursing staff (nursing assistants, nursing technicians, and nurses) during the COVID- pandemic, aiming to compare rates and associated factors across different professional categories. Using a simulated dataset, informed by real-world data and scientific literature, advanced statistical analyses were applied, including Student’s t-test, ANOVA, Linear Regression, Pearson’s Correlation, and Chi-square test. Results indicated significant differences in absenteeism rates among categories, with nursing technicians showing the highest average number of days absent. Age and length of service also correlated with absenteeism. The discussion addresses the implications of these findings for healthcare human resource management and the need for specific support strategies for each professional category, aiming to mitigate the impact of absenteeism on care quality and healthcare service sustainability. It is concluded that the pandemic exacerbated pre-existing challenges, demanding targeted interventions for the health and well-being of the nursing team
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Nursing Absenteeism During the COVID-19 Pandemic: A Comparative Analysis Among Nursing Assistants, Technicians, and Nurses | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Nursing Absenteeism During the COVID-19 Pandemic: A Comparative Analysis Among Nursing Assistants, Technicians, and Nurses Bruno Junior Dos Santos Gonçalves This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8780639/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigated absenteeism among nursing staff (nursing assistants, nursing technicians, and nurses) during the COVID- pandemic, aiming to compare rates and associated factors across different professional categories. Using a simulated dataset, informed by real-world data and scientific literature, advanced statistical analyses were applied, including Student’s t-test, ANOVA, Linear Regression, Pearson’s Correlation, and Chi-square test. Results indicated significant differences in absenteeism rates among categories, with nursing technicians showing the highest average number of days absent. Age and length of service also correlated with absenteeism. The discussion addresses the implications of these findings for healthcare human resource management and the need for specific support strategies for each professional category, aiming to mitigate the impact of absenteeism on care quality and healthcare service sustainability. It is concluded that the pandemic exacerbated pre-existing challenges, demanding targeted interventions for the health and well-being of the nursing team Nursing Absenteeism Nursing COVID- Pandemic Occupational Health Statistical Analysis Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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