Musculoskeletal disorder (MSD) prevention practices by nurses working in health care settings: Facilitators and barriers to implementation.

The incidence of musculoskeletal disorders (MSD) in the healthcare professional population is concerning. In particular, the high incidence of back injuries is an issue for nurses. Although many MSD prevention initiatives are being implemented, these practices are not succeeding in reducing MSDs. Why are these efforts struggling to close the gap between knowledge and practice? This article aims to report on individual and organizational factors that may influence nurses' implementation of MSD prevention practices. A survey was sent to nurses in the Quebec health and social services network. A total of 399 questionnaires were completed and analyzed. The results revealed that nurses have the required knowledge on MSD prevention practices, but have difficulty applying them in their professional context. It would appear that successful implementation of MSD prevention practices relies mainly on organizational factors, including management support, organizational culture, feedback mechanisms, and training that is adapted to the work environment.

Drivers of iPad use by undergraduate medical students: the Technology Acceptance Model perspective.

BACKGROUND: Medical students need to acquire a continuously growing body of knowledge during their training and throughout their practice. Medical training programs should aim to provide students with the skills to manage this knowledge. Mobile technology, for example, could be a strategy used through training and practice. The objective of this study was to identify drivers of using mobile technology (an iPad) in a UGME preclinical settings and to study the evolution of those drivers over time. METHODS: We solicited all students from two cohorts of a preclinical component of a Canadian UGME program. They were asked to answer two online surveys: one on their first year of study and another on the second year. Surveys were built based on the Technology Acceptance Model (TAM) to which other factors were also added. Data from the two cohorts were combined and analysed with partial least squares structural equation modelling (PLS-SEM) to test two measurement models, one for each year. RESULTS: We tested fifteen hypotheses on both data sets (first year and second year). Factors that explained the use of an iPad the first year were knowledge, preferences, perceived usefulness and anticipation. In the second year, perceived usefulness, knowledge and satisfaction explained the use of an iPad. Other factors have also significantly, but indirectly influenced the use of the iPad. CONCLUSIONS: We identified factors that influenced the use of an iPad in a preclinical medical program. These factors differed from the first year to the second year in the program. Our results suggest that interventions should be tailored for different point in time to foster the use of an iPad. Further study should investigate how interventions based on these factors may influence implementation of mobile technology to help students acquire ability to navigate efficiently through medical knowledge.

COVID-19 as the tipping point for integrating e-assessment in higher education practices.

The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and implementation of e-assessment in higher education. Employing a qualitative descriptive approach, we conducted semi-structured interviews with thirty-one individuals six months into the COVID-19 pandemic. We identified four major themes in participants' discourse about the integration of e-assessment during the COVID-19 pandemic: (a) the considerations they had for the potential consequences on students and how they considered this while deciding how to move forward, (b) the preoccupations for the potential for cheating, (c) the importance of pedagogical alignment, and (d) the affordances available to them. While the COVID-19 pandemic highlighted the fact that higher education institutions were not prepared for a pivot to- or greater integration of- e-assessment, it also provided the tipping-point to do so. In other words, it offered an unprecedented opportunity to critically appraise and change assessment practices, this opportunity was also a very challenging balancing act of considering the social consequences of assessment, and the alignment within set affordances.

An examination of teachers' strategies to foster student engagement in blended learning in higher education.

This qualitative study examined how teachers fostered student engagement in blended learning (BL), i.e., blended, blended online, and blended synchronous courses that combine synchronous and asynchronous activities. Twenty semi-structured interviews with teachers in various disciplines, at the undergraduate or graduate level in four universities, were conducted and analyzed using an inductive approach. Therefore, the study proposed a broad and comprehensive picture of teachers' strategies to enhance student engagement in BL, that were classified in three meta-categories concerning (i) the course structure and pace; (ii) the selection of teaching and learning activities; and (iii) the teacher's role and course relationships. Strategies were also linked with student engagement dimensions (behavioral, emotional, cognitive), whenever possible. The findings particularly emphasized the importance of a well-structured and -paced course, fully exploiting and integrating synchronous and asynchronous modes of BL. Clearly communicating how the course would unfold and corresponding expectations as well as establishing trusting relationships at the beginning of the semester also appeared as key to foster student engagement in BL. The use of various digital tools was also highlighted to promote student behavioral and emotional engagement at the undergraduate level, whereas cognitive and emotional engagement of graduate students was mainly targeted through experience-sharing and learning co-construction between students.