Using a Flipped Classroom to Teach Evidence-Based Practice to Entry-Level Occupational Therapy Students

Constructivist teaching approaches rely on students to be active participants in their learning. A flipped classroom is a constructivist approach that requires the students to complete pre-learning activities outside of class. Thus, in class the students can practice and engage in team-based discussions and teacher guided learning. We delivered evidence-based practice (EBP) concepts to entry level occupational therapy (OT) students in a doctoral program using a constructivist approach, that included a flipped classroom model and reliance on team-based strategies. We used the Evidence Based Practice Confidence (EPIC) Scale to assess the change in students’ confidence in EBP. Students demonstrated statistically significant differences in their confidence for EBP after the course. Evaluation of the changes in EPIC Scale scores indicates that a flipped classroom and team-based activities are effective approaches to teach EBP for entry level OT doctoral students

The National Early Warning Score and its subcomponents recorded within ±24 hours of emergency medical admission are poor predictors of hospital-acquired acute kidney injury

YesBackground: Hospital-acquired Acute Kidney Injury (H-AKI) is a common cause of avoidable morbidity and mortality. Aim: To determine if the patients’ vital signs data as defined by a National Early Warning Score (NEWS), can predict H-AKI following emergency admission to hospital. Methods: Analyses of emergency admissions to York hospital over 24-months with NEWS data. We report the area under the curve (AUC) for logistic regression models that used the index NEWS (model A0), plus age and sex (A1), plus subcomponents of NEWS (A2) and two-way interactions (A3). Likewise for maximum NEWS (models B0,B1,B2,B3). Results: 4.05% (1361/33608) of emergency admissions had H-AKI. Models using the index NEWS had the lower AUCs (0.59 to 0.68) than models using the maximum NEWS AUCs (0.75 to 0.77). The maximum NEWS model (B3) was more sensitivity than the index NEWS model (A0) (67.60% vs 19.84%) but identified twice as many cases as being at risk of H-AKI (9581 vs 4099) at a NEWS of 5. Conclusions: The index NEWS is a poor predictor of H-AKI. The maximum NEWS is a better predictor but seems unfeasible because it is only knowable in retrospect and is associated with a substantial increase in workload albeit with improved sensitivity.The Health Foundatio

Non-natives: 141 scientists object [Letter]

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