Educational interventions in neurology:A comprehensive systematic review

A fear of neurology and neural sciences (neurophobia) may have clinical consequences. There is therefore a need to formulate an evidence-based approach to neurology education. A comprehensive systematic review of educational interventions in neurology was performed. BEI, Cochrane Library, Dialog Datastar, EBSCO Biomedical, EBSCO Psychology & Behavioral Sciences, EMBASE, ERIC, First Search, MDConsult, Medline, Proquest Medical Library and Web of Knowledge databases were searched for all published studies assessing interventions in neurology education among undergraduate students, junior medical doctors and residents up to and including July 2012. Two independent literature searches were performed for relevant studies, which were then classified for level of evidence using the Centre of Evidence-based Medicine criteria and four levels of Kirkpatrick educational outcomes. One systematic review, 16 randomized controlled trials (RCTs), nine non-randomized cohort/follow-up studies, 33 case series or historically controlled studies and three mechanism-based reasoning studies were identified. Educational interventions showed favourable evaluation or assessment outcomes in 15 of 16 (94%) RCTs. Very few studies measured subsequent clinical behaviour (two studies) and patient outcomes (one study). There is very little high quality evidence of demonstrably effective neurology education. However, RCTs are emerging, albeit without meeting comprehensive educational criteria. An improving evidence base in the quality of neurology education will be important to reduce neurophobia. © 2013 EFNS.

How secure is a Newtonian paradigm for psychological and educational measurement?

From the early 1900s, some psychologists have attempted to establish their discipline as a quantitative science. In using quantitative methods to investigate their theories, they adopted their own special definition of measurement of attributes such as cognitive abilities, as though they were quantities of the type encountered in Newtonian science. Joel Michell has presented a carefully reasoned argument that psychological attributes lack additivity, and therefore cannot be quantities in the same way as the attributes of classical Newtonian physics. In the early decades of the 20th century, quantum theory superseded Newtonian mechanics as the best model of physical reality. This paper gives a brief, critical overview of the evolution of current measurement practices in psychology, and suggests the need for a transition from a Newtonian to a quantum theoretical paradigm for psychological measurement. Finally, a case study is presented that considers the implications of a quantum theoretical model for educational measurement. In particular, it is argued that, since the OECD’s Programme for International Student Assessment (PISA) is predicated on a Newtonian conception of measurement, this may constrain the extent to which it can make accurate comparisons of the achievements of different education systems.

Predictors of numeracy performance in undergraduate psychology, nursing and medical students

Psychology, nursing and medicine are undergraduate degrees that require students to attain a level of numerical competence for graduation. Yet, the numeracy aspect of these courses is often actively disliked and poorly performed. This study's aim was to identify what factors most strongly predict performance in such courses. Three hundred and twenty-five undergraduate students from these three disciplines were given measures of numeracy performance, maths anxiety, maths attitudes and various demographic and educational variables. From these data three separate path analysis models were formed, showing the predictive effects of affective, demographic and educational variables on numeracy performance. Maths anxiety was the strongest affective predictor for psychology and nursing students, with motivation being more important for medical students. Across participant groups, pre-university maths qualifications were the strongest demographic/educational predictor of performance. The results can be used to suggest ways to improve performance in students having difficulty with numeracy-based modules.