Plastic with personality: Increasing student engagement with manikins

© 2015 Elsevier Ltd. Background: Simulation allows students to practice key psychomotor skills and gain technical proficiency, fostering the development of clinical reasoning and student confidence in a low risk environment. Manikins are a valuable learning tool; yet there is a distinct lack of empirical research investigating how to enhance engagement between nursing students and manikins. Objective: To describe student perspectives of a layered, technology enhanced approach to improve the simulation learning experience. Educational Framework: Tanner's Model of Clinical Judgment underpins the entire curriculum. This study additionally drew on the principles of narrative pedagogy. Intervention: Across ten teaching weeks, five separate case studies were introduced to students through short vignettes. Students viewed the vignettes prior to their laboratory class. In the labs, manikins were dressed in the props used in the vignettes. Setting: The innovation was trialed in a second year core subject of a Bachelor of Nursing program in a large urban university in the autumn semester of 2014. Data Collection and Analysis: Following ethics approval, students were emailed a participant information sheet. A focus group of nine students was held. The discussion was digitally recorded and transcribed verbatim prior to being subject to thematic analysis. Students' comments (143) about the vignettes in their standard subject specific student feedback surveys were also considered as data. Results: Four themes were identified: Getting past the plastic; knowing what to say; connecting and caring; and, embracing diversity. The feedback indicated that these measures increased students ability to suspend disbelief, feel connected to, and approach the manikins in a more understanding and empathetic fashion. Conclusions: In addition to achieving increased engagement with manikins, other advantages such as students reflecting on their own values and pre-conceived notions of people from diverse backgrounds were realized

Assessment of Young Children on Entry to School: Informative, Formative or Performative?

Abstrac

A psychometric evaluation of the Defence Style Questionnaire-40 in a UK forensic patient population

Psychological defence mechanisms have been considered important personality processes in the onset, maintenance and recovery of mental disorders. More recently, their application to understanding presenting problems and as potential outcome indicators for forensic patients has been recommended. However, to date there have been no investigations into the reliability and factor structure of defence mechanism assessments for this population. The current study investigated the factor structure, internal consistency and test-retest reliability of the Defence Style Questionnaire-40 (DSQ) for 160 adult male UK forensic patients. The three-factor model of defences proposed by the DSQ-40 developers was not confirmed in the study sample. Reliability indices of the three factors indicated that the Immature factor was the most ‘acceptable’ in terms of internal consistency. Test-retest reliability coefficients ranged from .70 to .91. A revised three-factor structure that closely corresponds to the original validation study is recommended following an exploratory factor analysis. The findings are compared with previous reliability and factor analytic evaluations of the DSQ-40, and recommendations for its use with forensic patients are discussed

Viral Networks: Connecting Digital Humanities and Medical History

This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic—from the Black Death in fourteenth-century Provence to psychiatric hospitals in twentieth-century Alabama. The chapters take readers through a variety of situations in which scholars must determine if network analysis is right for their research; and, if the answer is yes, what the possibilities are for implementation. Along the way, readers will find practical tips on identifying an appropriate network to analyze, finding the best way to apply network analysis, and choosing the right tools for data visualization. All the chapters in this volume grew out of the 2018 Viral Networks workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech