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Purpose: To explore Canadian physiotherapists' perceptions of the factors that influence their decisions whether to supervise students in clinical placements. Methods: Using accepted survey development methodology, a survey was developed and administered to 18,110 physiotherapists to identify which factors contribute to the decision to supervise students. The survey also gave respondents opportunities to provide comments; these were analyzed via directed content analysis, using the factors identified in an exploratory factor analysis as an organizing structure. Results: A representative sample of 3,148 physiotherapists responded to the survey. Qualitative analysis of respondent comments provided a rich understanding of the factors contributing to the decision on whether to supervise students, which centred on themes related to stress, workplace productivity, the evaluation instrument, student preparation, and physiotherapists' professional roles and responsibilities. Challenges specific to loss of income and the ethics of charging for student services in private practice were also identified. Conclusions: Supervising students can be stressful, and stress is perceived by respondents to be most influential in deciding whether to supervise students. Effective supervisor training may mitigate some of the stresses related to supervising students. A collaborative approach involving all stakeholders is needed to resolve the issues of student placement capacity.

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Background: This study provides initial evidence of the contributions and suitability of relational, trauma-informed, and community-based approaches for programs aimed at the prevention of future alcohol-and drug-exposed births. Specifically, this study extends understanding of the experiences of mentors providing evidencebased 3-year home visitation services through the Parent-Child Assistance Program (PCAP) in rural and isolated First Nation communities in Alberta, Canada. Methods: Using a participatory approach to this research project, we explored existing PCAP services to capture implementation across six rural and isolated Alberta fetal alcohol spectrum disorder (FASD) networks involving First Nation communities over an 8-month period. In total, we generated qualitative data with 35 participants to examine mentors' perceptions of the impacts and suitability of a relational, trauma-informed, and community-based approach to service delivery. Results: Six major themes were revealed from the thematic analysis as key mechanisms of culturally responsive program delivery across the six FASD networks. Conclusions: Relational, trauma-informed, and community-centered FASD prevention programming was perceived to have positive impacts and be well suited for use within Indigenous communities, and allow for service delivery to be locally and culturally responsive. K E Y W O R D Sfetal alcohol spectrum disorder, indigenous, prevention, rural and isolated communities

This study highlights the necessary conditions for assessing the success of implementation of educational innovations. Reciprocal communication between users and developers is vital. This reflects the approaches recommended in the Ottawa Consensus Statement on research in assessment published in Medical Teacher in March 2011.

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The methodological purpose of this article is to demonstrate how data mining contributes to rapid complex case study descriptions. Our complexity-informed design draws on freely accessible datasets reporting the public health response surrounding the onset of the COVID-19 pandemic in Alberta (Canada) and involves the cross analysis of integrated findings across six periods of fluctuation identified in the initial quantitative phase of a convergent sequential approach. We discuss how our case meta-inferences, informing how public health briefings can build credibility and trust, were derived by attending to three key concepts of complex adaptive systems: emergence, interdependence, and adaptation. This article serves as an essential reference for using data mining within a case study–mixed methods design for studying complex phenomena.