The Effect of Perceived Dangers upon Training Nurses in a Hospital Working Environment
Autor: | Jui-Hsuan Yu, 余瑞軒 |
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Rok vydání: | 2006 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 95 The outbreaks of the condition know as Severe Acute Respiratory Syndrome (SARS) in 2003 led to a perceived detrimental decline in the working conditions of many hospitals. A lot of nurses left the profession during that period under immense psychological pressure; caused in part, by the perception of greater personal health risks associated with the outbreak, and whether directly or indirectly; by triggered awareness of other perceived dangers associated with the nurses’ work. In order to better understand what variables held the most significant influence on these perceptions; this study focused on the analysis of potential environmental hazards encountered by training student nurses, and the common traits among those subjects most influenced. Subject data was collated from 440 students by cluster sampling and analyzed using descriptive statistics, χ2, t-test, F-test, and SEM. The key findings of the study revealed thus: (1) The main environment hazards that were perceived to be of a danger for a typical student nurse were – hazardous emissions form X-ray and other scanning equipment; and the potential infection from the use of needles and other sharp instrumentation during patient contact. (2) The perception of threat form potential environmental hazards affected the students differently and they fell broadly into two categories. Undergraduate student nurses perceived far less harm in the work environment compared to their college student colleagues. In general, it was found that undergraduates received better hygiene and personal safety training, greater job security, and a better education at the hospitals they were assigned to compared to their nongraduate counterparts. These factors may explain why some nurses were more inclined than others to quit their jobs during the outbreak of SARS. (3) The traits of challenge, promise, and control could predict information support statistically; challenge trait and information support could predict biology’s damages statistically; biology’s damages and promise trait could predict work inclination statistically. (4) The research model fitted the observed data well. Implications for theory, practice and research are discussed. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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