Impact of the COVID-19 pandemic on student supervision and education in health care settings: A state-wide survey of health care workers.

OBJECTIVE: To investigate student supervisor experiences of supervising students on clinical placements since the onset of the COVID-19 pandemic. BACKGROUND: Studies on the impact of COVID-19 on student clinical placements have focused largely on student reports and have been specific to individual professions or topic areas. There is a need to investigate student supervisor experiences. This study was conducted in Queensland (Australia) in four regional and rural public health services and four corresponding primary health networks. METHODS: The anonymous, mixed methods online survey, consisting of 35 questions, was administered to student supervisors from allied health, medicine, nursing and midwifery between May and August 2021. Numerical data were analysed descriptively using chi-square tests. Free-text comments were analysed using content analysis. RESULTS: Complete datasets were available for 167 respondents. Overall trends indicated perceived significant disruptions to student learning and support, plus mental health and well-being concerns for both students and supervisors. Extensive mask wearing was noted to be a barrier to building rapport, learning and teaching. Some positive impacts of the pandemic on student learning were also noted. CONCLUSIONS: This study has highlighted the perceived impact of the pandemic on supervisors' mental health, and on the mental health, learning and work readiness of students. This study provides evidence of the pandemic impacts on student clinical placements from a supervisor point of view. Findings can assist in future-proofing clinical education and ensuring that students continue to receive learning experiences of benefit to them, meeting curriculum requirements, in the event of another pandemic.

Human Factors and Ergonomics and the management of existential threats: A work domain analysis of a COVID-19 return from lockdown restrictions system.

Following strict "lockdown" restrictions designed to control the spread of the COVID-19 virus, many jurisdictions are now engaged in a process of easing restrictions in an attempt to stimulate economic and social activity while continuing to suppress virus transmission. This is challenging and complex, and in several regions, new outbreaks have emerged. We argue that systems Human Factors and Ergonomics methods can assist in understanding and optimizing the return from lockdown. To demonstrate, we used work domain analysis to develop an abstraction hierarchy model of a generic "return from lockdown restrictions" system. The model was assessed to identify (a) issues preventing a successful return from lockdown; and (b) leverage points that could be exploited to optimize future processes. The findings show that the aim of continuing to suppress virus transmission conflicts with the aims of returning to pre-virus economic and social activity levels. As a result, many functions act against each other, ensuring that the system cannot optimally achieve all three of its primary aims. Potential leverage points include modifying the goals and rules of the system and enhancing communications and feedback. Specifically, it is argued that moderating economic aims and modifying how social and community activities are undertaken will result in longer term suppression of the virus.