Organisational challenges to wellbeing in nuclear medicine technologists: Professionalism, burnout and pragmatic growth

RADIOGRAPHY(2024)

引用 0|浏览0
暂无评分
摘要
Introduction: Occupational risk for burnout in nuclear medicine technologists globally, and particularly during disaster demands on the profession, is poorly researched. This idiographic study explored the lived experience of nuclear medicine technologists during COVID-19 in a regional city in Australia. Methods: Data was collected from five participants using semi-structured interviews and transcribed and analysed according to the protocols of Interpretative Phenomenological Analysis (IPA). Results: Four group experiential themes were identified: Systemic Contraindications, Professional Strengths and Limitations, Pragmatic Growth, and Covid Rollercoaster. For these participants a dichotomous health care system, impacted by COVID-19, risked career longevity and burnout. Through empathic connection with vulnerable patients, they redefined their priorities, re-engaged in supportive connections with colleagues, and sought new pathways. Conclusion: Multiple workplace stressors compounded by COVID-19, risked mental wellbeing, in these participants. Nevertheless, these challenges provided opportunities for reflection around career trajectory and longevity precipitating personal growth, job satisfaction and work-life balance. Implications for practice: This study provided a lens on the risk factors inherent for nuclear medicine technologists in Australia, exacerbated by the COVID-19 pandemic. Current, and disaster protective practices, to ensure wellbeing and prevent burnout risk are recommended for future research. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of The College of Radiographers. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
更多
查看译文
关键词
Burnout,Pragmatic growth,Wellbeing,Nuclear medicine technologist,Interpretative phenomenological analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要