International Health Electives:defining learning outcomes for a unique experience

Background: An International Health Elective (IHE) can be a unique learning experience for students. However, it has proven difficult to clearly define learning outcomes that capture the complexity of an IHE and are aligned with future professional performance. This study aimed to further define learning outcomes for IHEs in low- to middle-income countries (LMIC) from a student perspective. Methods: We conducted a deductive analysis of pre-departure and post-elective reflective reports of fifth-year medical students who participated in an IHE as part of their program. This provided possible learning objectives that were further explored in semi-structured individual interviews with medical students who had recently returned from an IHE. Results: We analyzed 33 reports of students participating in an IHE from 2017–2019 and held 19 interviews. Thematic analysis revealed 9 themes: developing intercultural competence, developing appreciation for differences in health care delivery systems, understanding international health, understanding the global burden of disease, developing a career perspective, developing clinical skills in resource low settings, becoming cost conscious, developing social responsibility and self-actualization. Conclusions: We identified 9 learning outcomes that are directly and indirectly related to clinical practice. They add to the on-going discourse on the benefits of IHEs. These outcomes can be further developed by investigating the perspectives of home and host supervisors and educationalists, while taking the local context into account. Follow-up studies can evaluate to what extend these outcomes are achieve during an IHE.</p

Gamification of health professions education:a systematic review

Gamification refers to using game attributes in a non-gaming context. Health professions educators increasingly turn to gamification to optimize students' learning outcomes. However, little is known about the concept of gamification and its possible working mechanisms. This review focused on empirical evidence for the effectiveness of gamification approaches and theoretical rationales for applying the chosen game attributes. We systematically searched multiple databases, and included all empirical studies evaluating the use of game attributes in health professions education. Of 5044 articles initially identified, 44 met the inclusion criteria. Negative outcomes for using gamification were not reported. Almost all studies included assessment attributes (n = 40), mostly in combination with conflict/challenge attributes (n = 27). Eight studies revealed that this specific combination had increased the use of the learning material, sometimes leading to improved learning outcomes. A relatively small number of studies was performed to explain mechanisms underlying the use of game attributes (n = 7). Our findings suggest that it is possible to improve learning outcomes in health professions education by using gamification, especially when employing game attributes that improve learning behaviours and attitudes towards learning. However, most studies lacked well-defined control groups and did not apply and/or report theory to understand underlying processes. Future research should clarify mechanisms underlying gamified educational interventions and explore theories that could explain the effects of these interventions on learning outcomes, using well-defined control groups, in a longitudinal way. In doing so, we can build on existing theories and gain a practical and comprehensive understanding of how to select the right game elements for the right educational context and the right type of student

International Health Electives:defining learning outcomes for a unique experience

Background: An International Health Elective (IHE) can be a unique learning experience for students. However, it has proven difficult to clearly define learning outcomes that capture the complexity of an IHE and are aligned with future professional performance. This study aimed to further define learning outcomes for IHEs in low- to middle-income countries (LMIC) from a student perspective. Methods: We conducted a deductive analysis of pre-departure and post-elective reflective reports of fifth-year medical students who participated in an IHE as part of their program. This provided possible learning objectives that were further explored in semi-structured individual interviews with medical students who had recently returned from an IHE. Results: We analyzed 33 reports of students participating in an IHE from 2017–2019 and held 19 interviews. Thematic analysis revealed 9 themes: developing intercultural competence, developing appreciation for differences in health care delivery systems, understanding international health, understanding the global burden of disease, developing a career perspective, developing clinical skills in resource low settings, becoming cost conscious, developing social responsibility and self-actualization. Conclusions: We identified 9 learning outcomes that are directly and indirectly related to clinical practice. They add to the on-going discourse on the benefits of IHEs. These outcomes can be further developed by investigating the perspectives of home and host supervisors and educationalists, while taking the local context into account. Follow-up studies can evaluate to what extend these outcomes are achieve during an IHE.</p

Medical students' perceptions of play and learning: Qualitative study with focus groups and thematic analysis

Background: In times where distance learning is becoming the norm, game-based learning (GBL) is increasingly applied to health profession education. Yet, decisions for if, when, how, and for whom GBL should be designed cannot be made on a solid empirical basis. Though the act of play seems to be intertwined with GBL, it is generally ignored in the current scientific literature. Objective: The objective of our study was to explore students' perceptions of play in leisure time and of GBL as part of a mechanistic, bottom-up approach towards evidence-informed design and implementation of GBL in health profession education. Methods: We conducted 6 focus group discussions with medical and dentistry students, which were analyzed using thematic analysis. Results: A total of 58 students participated. We identified 4 major themes based on the students' perception of play in leisure time and on the combination of play and learning. Our results indicate that, while play preferences were highly various in our health profession student cohort, pleasure was the common ground reported for playing. Crucially, play and the serious act of learning seemed paradoxical, indicating that the value and meaning of play are strongly context-dependent for students. Conclusions: Four key points can be constructed from our study. First, students play for pleasure. Perceptions of pleasure vary considerably among students. Second, students consider play as inefficient. Inefficiency will only be justified when it increases learning. Third, play should be balanced with the serious and only be used for difficult or tedious courses. Fourth, GBL activities should not be made compulsory for students. We provide practical implications and directions for future research

Medical students' perceptions of play and learning: Qualitative study with focus groups and thematic analysis

Background: In times where distance learning is becoming the norm, game-based learning (GBL) is increasingly applied to health profession education. Yet, decisions for if, when, how, and for whom GBL should be designed cannot be made on a solid empirical basis. Though the act of play seems to be intertwined with GBL, it is generally ignored in the current scientific literature. Objective: The objective of our study was to explore students' perceptions of play in leisure time and of GBL as part of a mechanistic, bottom-up approach towards evidence-informed design and implementation of GBL in health profession education. Methods: We conducted 6 focus group discussions with medical and dentistry students, which were analyzed using thematic analysis. Results: A total of 58 students participated. We identified 4 major themes based on the students' perception of play in leisure time and on the combination of play and learning. Our results indicate that, while play preferences were highly various in our health profession student cohort, pleasure was the common ground reported for playing. Crucially, play and the serious act of learning seemed paradoxical, indicating that the value and meaning of play are strongly context-dependent for students. Conclusions: Four key points can be constructed from our study. First, students play for pleasure. Perceptions of pleasure vary considerably among students. Second, students consider play as inefficient. Inefficiency will only be justified when it increases learning. Third, play should be balanced with the serious and only be used for difficult or tedious courses. Fourth, GBL activities should not be made compulsory for students. We provide practical implications and directions for future research

Gamification of health professions education: a systematic review

Gamification refers to using game attributes in a non-gaming context. Health professions educators increasingly turn to gamification to optimize students’ learning outcomes. However, little is known about the concept of gamification and its possible working mechanisms. This review focused on empirical evidence for the effectiveness of gamification approaches and theoretical rationales for applying the chosen game attributes. We systematically searched multiple databases, and included all empirical studies evaluating the use of game attributes in health professions education. Of 5044 articles initially identified, 44 met the inclusion criteria. Negative outcomes for using gamification were not reported. Almost all studies included assessment attributes (n = 40), mostly in combination with conflict/challenge attributes (n = 27). Eight studies revealed that this specific combination had increased the use of the learning material, sometimes leading to improved learning outcomes. A relatively small number of studies was performed to explain mechanisms underlying the use of game attributes (n = 7). Our findings suggest that it is possible to improve learning outcomes in health professions education by using gamification, especially when employing game attributes that improve learning behaviours and attitudes towards learning. However, most studies lacked well-defined control groups and did not apply and/or report theory to understand underlying processes. Future research should clarify mechanisms underlying gamified educational interventions and explore theories that could explain the effects of these interventions on learning outcomes, using well-defined control groups, in a longitudinal way. In doing so, we can build on existing theories and gain a practical and comprehensive understanding of how to select the right game elements for the right educational context and the right type of student

Global synergistic actions to improve brain health for human development.

The global burden of neurological disorders is substantial and increasing, especially in low-resource settings. The current increased global interest in brain health and its impact on population wellbeing and economic growth, highlighted in the World Health Organization's new Intersectoral Global Action Plan on Epilepsy and other Neurological Disorders 2022-2031, presents an opportunity to rethink the delivery of neurological services. In this Perspective, we highlight the global burden of neurological disorders and propose pragmatic solutions to enhance neurological health, with an emphasis on building global synergies and fostering a 'neurological revolution' across four key pillars - surveillance, prevention, acute care and rehabilitation - termed the neurological quadrangle. Innovative strategies for achieving this transformation include the recognition and promotion of holistic, spiritual and planetary health. These strategies can be deployed through co-design and co-implementation to create equitable and inclusive access to services for the promotion, protection and recovery of neurological health in all human populations across the life course

A Machine Learning Algorithm to Identify Patients at Risk of Unplanned Subsequent Surgery After Intramedullary Nailing for Tibial Shaft Fractures

Objectives: In the SPRINT trial, 18% of patients with a tibial shaft fracture (TSF) treated with intramedullary nailing (IMN) had one or more unplanned subsequent surgical procedures. It is clinically relevant for surgeon and patient to anticipate unplanned secondary procedures, other than operations that can be readily expected such as reconstructive procedures for soft tissue defects. Therefore, the objective of this study was to develop a machine learning (ML) prediction model using the SPRINT data that can give individual patients and their care team an estimate of their particular probability of an unplanned second surgery. Methods: Patients from the SPRINT trial with unilateral TSFs were randomly divided into a training set (80%) and test set (20%). Five ML algorithms were trained in recognizing patterns associated with subsequent surgery in the training set based on a subset of variables identified by random forest algorithms. Performance of each ML algorithm was evaluated and compared based on (1) area under the ROC curve, (2) calibration slope and intercept, and (3) the Brier score. Results: Total data set comprised 1198 patients, of whom 214 patients (18%) underwent subsequent surgery. Seven variables were used to train ML algorithms: (1) Gustilo-Anderson classification, (2) Tscherne classification, (3) fracture location, (4) fracture gap, (5) polytrauma, (6) injury mechanism, and (7) OTA/AO classification. The best-performing ML algorithm had an area under the ROC curve, calibration slope, calibration intercept, and the Brier score of 0.766, 0.954, -0.002, and 0.120 in the training set and 0.773, 0.922, 0, and 0.119 in the test set, respectively. Conclusions: An ML algorithm was developed to predict the probability of subsequent surgery after IMN for TSFs. This ML algorithm may assist surgeons to inform patients about the probability of subsequent surgery and might help to identify patients who need a different perioperative plan or a more intensive approach.Orthopaedics, Trauma Surgery and Rehabilitatio