School of Nursing & Public Health
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Browsing School of Nursing & Public Health by Subject "Absenteeism (Labour)"
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Item Analysis of sickness presenteeism prevalence among nurses working in selected health facilities in Swaziland.(2016) Mdziniso, Bawinile Treasure.; Kerr, James.Sickness presenteeism occurs when employees go to work when they would be justified in taking time off for complaints and ill health that can either be physical or mental or both (Johns, 2010; Demerouti, Le Blanc, Bakker, Schaufeli and Hox, 2009; Aronsson, Gustafsson, and Dallner, 2000; Jourdain and Vézina, 2013). Sickness presenteeism has drastic effects to the organization or employer, the health of the employee, the safety of the health care consumers (clients and patients) and families of the employees (Roelen, Jensen, Stapelfeldt Groothoff, Nielsen and Bültmann, 2014;Sendén, Løvseth, Schenck-Gustafsson and Fridner, 2013). Sickness presenteeism has been discovered to be prevalent among human service organizations such as nursing (Johansen, Aronsson, and Marklund, 2014; Leineweber, Westerlund, Hagberg, Svedberg and Alexanderson, 2012; Aronsson et. al., 2000). High job demands, inability to adjust amount and type of work to do in a given period of time, lack of social support and experiencing health problems are cited as some of the predisposing factors of sickness presenteeism (Jourdain and Vézina, 2013; Linnerud, 2013; Demerouti et. al., 2009 and Theorell, 1996). Amongst studies conducted, sickness presenteeism has been assessed based on varying degrees of nurse staffing levels and nursing work schedules of various shifts (Linnerud, 2013 and Zirwatul, Ibrahim, and Ohtsuka, 2012).Item Nurses' views on which factors cause nurse absenteeism in a selected hospital, Durban, South Africa.(2009) Mudaly, Prenola Devasree.The research study on "Nurses' views on which factors cause nurse absenteeism in a selected hospital, Durban, South Africa", was conducted utilizing a quantitative, non-experimental, simple survey design. The study was conducted at a provincial hospital in Durban. There were sixty nurses, which were involved in the study. The nurse study sample comprised ten Registered Nurses on day duty and ten Registered Nurses on night duty; ten Enrolled Nurses on day duty and ten Enrolled Nurses on night duty; ten Enrolled Nurse Assistants on day duty and ten Enrolled Nurse Assistants on night duty. Nurses consented to be apart of the study, following completion of the study questionnaire, The study was guided by the conceptual framework by Taunton, Hope Woods and Bott. (1995: 218). Independent variables of the nurse, nurse manager, work and organization and their associated characteristics were the main aspects of the study. These were investigated using separate methods of closed-ended and open-ended questions, to determine factors that caused absenteeism. The closed-ended questions consisted of questions to either responses of either an agree or disagree. There were open-ended, simple survey, questions. Statistical methods of A Exact Binomial Test of Significance were used to analyze the quantitative data of the closed-ended data collected. Content analysis, using a coding technique, with descriptive analysis techniques of frequency counts and frequency distributions, were utilized for data analysis for the open-ended data collected. There emerged many reasons for nurse absenteeism, employing two research designs, some of which were unknown until this research was complete and some reasons, which were known but now emphasized. Once the hospital management view upon all reasons for nurse absenteeism, there can possibly an understanding of nurse absenteeism, reducing nurse absenteeism and allowing for a better-managed workforce.Item Profile of sickness absenteeism at the Consul Glass factory, Clayville, Midrand, 2004.(2008) Suleman, Fatima.; Naidoo, Saloshni.INTRODUCTION Sick leave absenteeism is a recognized problem in all work sectors. The financial impact of sick leave has been well-documented. A profile of sick leave records can establish the extent of the sick leave problem in a workplace, the associated and predisposing factors for sick leave and the patterns of sick leave amongst workers. A baseline profile of the sick leave patterns in a workplace should be a preliminary step toward developing a programme aimed at the improvement of workers' health and attendance at work. AIM OF THE STUDY The aim of this study was to profile recorded sick leave for 2004 amongst permanent workers at the Consul Factory in Olifantsfontein, Midrand, Johannesburg in order to make recommendations to management. METHODS This was a cross-sectional study using a retrospective review of sick leave records of permanent workers at the Consul Glass factory for 2004. Information gathered included the demographic profile of workers who recorded sick leave, the frequency of sick leave, associated factors for sick leave, health care choices of workers with sick leave and the reasons for sick leave. Descriptive and analytic statistics have been presented. RESULTS • Workers over the age of fifty years had sick leave of longer duration compared to those younger than 50 years old (p<0.05). The median hours taken off for sick leave was higher in the male subgroup compared to the female subgroup of workers in the study population (p<0.05); • Workers from the production areas had more sick leave episodes for the year than workers from the non-production areas (p<0.05). Workers with bronchitis working in the production areas of the factory, had longer duration of sick leave compared to workers with bronchitis working in the nonproduction areas of the factory (p<0.05); • Workers on a variable shift schedule took more sick leave on days of the week that were unlinked to weekends and public holidays (p<0.05).A longer duration of sick leave occurred with certified sick leave compared with self reported sick leave (p<0.05); • In the study population, the majority were not medical aid members. Medical aid members had a longer duration of sick leave per episode compared to non-medical aid members (P<0.05); • Respiratory tract infection was the most common reason for sick leave. Of the ten most common reasons for sick leave, there was a significant difference in the mean number of hours of sick leave taken per episode for dental treatment and backache (p<0.05); • There was a significant difference in the mean number of hours of sick leave recommended by the four different sources of sick notes (p<0.05); • There was a significant association for worker interviews/counselling by the Human Resources' Department official and the worker having had four or more episodes of sick leave for the year (p<0.05). CONCLUSION The profile of sick leave at this company identified important associations with sick leave patterns. These significant findings provide management with baseline information, which can be used for the development of workplace interventions to address the taking of sick leave at the Consul Glass factory.