Sameer Rajbhandary1, Kisalaya Basu. 1. Microsimulation Modelling and Data Analysis Division, Applied Research and Analysis Directorate, Health Canada, 1905C Tunney’s Pasture, Ottawa, Ontario, Canada. kisalaya_basu@hc-sc.gc.ca
Abstract
OBJECTIVE: This paper investigates the relationship between the working conditions and illness- and injury-related absenteeism of full-time Registered Nurses (RNs) and Licensed Practical Nurses (LPNs). METHOD: We used 2005 National Survey of the Work and Health of Nurses, which was designed to be representative of nurses employed in nursing in Canada in the fall of 2005. We estimated Negative Binomial regression models separately for RNs and LPNs with health related absenteeism as the dependent variable. The regressors include working conditions, work settings, and shift type/length along with socio-demographic variables. RESULTS: Depression is a significant determinant of absenteeism for both RNs and LPNs. However, workload and lack of respect are significant determinant of absenteeism for LPNs but not for RNs. Both RNs and LPNs working in other setting (physician offices, private nursing educations, educational institutions, governments and associations) will have less absenteeism than those working in hospitals. For LPNs, those working in long-term facility will also have less absenteeism than those working in hospitals. The length and type of shift also has significant effect on absenteeism. DISCUSSION: Improving working conditions with a resulting reduction in absenteeism might be an economic way to increase the labour supply of nurses without increasing new admissions or new recruits. Crown Copyright (c) 2010. Published by Elsevier Ireland Ltd. All rights reserved.
OBJECTIVE: This paper investigates the relationship between the working conditions and illness- and injury-related absenteeism of full-time Registered Nurses (RNs) and Licensed Practical Nurses (LPNs). METHOD: We used 2005 National Survey of the Work and Health of Nurses, which was designed to be representative of nurses employed in nursing in Canada in the fall of 2005. We estimated Negative Binomial regression models separately for RNs and LPNs with health related absenteeism as the dependent variable. The regressors include working conditions, work settings, and shift type/length along with socio-demographic variables. RESULTS:Depression is a significant determinant of absenteeism for both RNs and LPNs. However, workload and lack of respect are significant determinant of absenteeism for LPNs but not for RNs. Both RNs and LPNs working in other setting (physician offices, private nursing educations, educational institutions, governments and associations) will have less absenteeism than those working in hospitals. For LPNs, those working in long-term facility will also have less absenteeism than those working in hospitals. The length and type of shift also has significant effect on absenteeism. DISCUSSION: Improving working conditions with a resulting reduction in absenteeism might be an economic way to increase the labour supply of nurses without increasing new admissions or new recruits. Crown Copyright (c) 2010. Published by Elsevier Ireland Ltd. All rights reserved.
Authors: Tomislav Jukic; Alojz Ihan; Marija Petek Šter; Vojko Strojnik; David Stubljar; Andrej Starc Journal: J Med Internet Res Date: 2020-08-14 Impact factor: 5.428