Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, Amy C Reynolds, Kathleen J Maddison, Maja Bucan, Philip Gehrman, Alex Rowlands, David W Ray, Derrick Bennett, Joanne McVeigh, Leon Straker, Peter Eastwood, Simon D Kyle, Aiden Doherty
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
NPJ digital medicine
experiential learning opportunities work integrated learning placements often challenging health professional students therefore imperative students adequately prepared engaging placement learning operationalising readiness learning placement construct necessary providing quality student feedback assessment integrative mixed methods approach adopted study utilising survey canvass perspectives academics students placement educators around construct readiness inform potential assessment items assessment tool measuring student readiness placement developed data occupational therapy physiotherapy speech pathology programs evaluated using rasch analysis explore unidimensionality construct online survey completed 64 participants confirming importance measurability foundational skills integral readiness placement learning foundational skills reflected pilot 20item tool covering domains professional learner behaviour communication information gathering skills reasoning rasch analysis 359 preregistration student assessments confirmed unidimensionality suggesting skills attributes operationalised assessment items considered part readiness placement components construct together findings provide support items tool relevant representative skills behaviours indicate readiness placement learning two items regarding documentation appropriate professional dress demonstrated lower importance scores interpretation variance warranting investigation exploration construct readiness placement learning created subsequently revised innovative assessment tool measures novice students preplacement capabilities research needed explore psychometric properties tool