Observational Study Exploring the Efficacy and Effectiveness of a New Model of Peer-Assisted Simulation-Based Learning Clinical Placement

(1) Background: Immersive simulation-based learning is relevant and effective in health care professional pre-licensure training. Peer-assisted learning has reciprocal benefit for the learner and the teacher. A fully simulated model of fieldwork placement has been utilised at [de-identified] University since 2014, historically employing full-time faculty supervisors. Due to the COVID-19 pandemic in 2020, traditional clinical placement availability diminished. (2) Methods: This mixed-methods prospective observational study aimed to translate the existing faculty-led placement for penultimate-year physiotherapy students to a peer-taught model, thereby creating new teaching placements for final-year students. Final-and penultimate-year physiotherapy students undertook the fully simulated fieldwork placement either as peer learners or peer teachers. The placement was then evaluated using four outcome measures: The ‘measure of quality of giving feedback scale’ (MQF) was used to assess peer learner satisfaction with peer-teacher supervision; plus/delta reflec-tions were provided by peer teachers and faculty supervisors; student pass/fail rates for the penul-timate-year physiotherapy students. (3) Results: For 10 weeks during November and December 2020, 195 students and 19 faculty participated in the placement. Mean MQF scores ranged from 6.4 (SD 0.86) to 6.8 (SD) out of 7; qualitative data reflected positive and negative aspects of the experience. There was a 4% fail rate for penultimate-year students for the placement. Results suggested that peer learners perceived peer-led feedback was of a high quality; there were both positives and challenges experienced using the model. (4) Conclusions: Physiotherapy students effectively adopted a peer-taught fully simulated fieldwork placement model with minimal faculty supervision, and comparable clinical competency outcomes

The effect of long-range transport, trophic position and diet specialization on legacy contaminant occurrence in great skuas, Stercorarius skua, breeding across the Northeast Atlantic

High levels of halogenated organic contaminants (HOCs) have been found in the marine predatory seabird great skua (Stercorarius skua) from breeding colonies in the Northeastern Atlantic, with large unexplained inter-colony variation. The present study aimed at analyzing if the HOCs occurrence in breeding great skuas in remote colonies was explained by local baseline food web exposure determined by long-range transport, or by ecological factors such as diet specialization and relative trophic position in the breeding area. The occurrence of organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ethers (PBDEs) was analyzed in plasma of 204 adult great skuas collected over two years (2008 and 2009) and 5 colonies across the North-Atlantic from Shetland to Svalbard. The ΣHOCs levels in plasma ranged across two orders of magnitude, from 40 to 7600 ng/g (wet weight) and differed significantly across the great skua colonies. The variation in contaminant occurrence among colonies did not reflect long-range transport through a latitudinal or remoteness gradient, as the second northernmost colony (Bjørnøya), had the highest contaminant concentrations. No latitudinal or remoteness gradient was evident in the contaminant pattern among the colonies. The contaminant levels increased significantly with increasing δ15N values, and regurgitated pellets of undigested prey suggested that great skuas with higher δ15N values had a higher proportion of bird prey in their diet, mostly seabirds. In contrast, great skuas from colonies with lower δ15N and lower contaminant level fed mostly on fish. The enrichment of δ13C increased with decreasing δ15N and lower contaminant levels. Therefore, individual behavior of great skuas, such as migration strategies and diet specialization, rather than long-range transport and thus baseline food web exposure, explain among and within colony variance in contaminant occurrence