Objectives: To develop a competency-based educational tool for cardiac point-of-care ultrasound image interpretation using the design-based research approach.
Design: In accordance with design-based research, multiple methods were used to determine that learners would benefit from achieving competency in cardiac point-of-care ultrasound image interpretation before they attempted it at the bedside. A competency-based educational tool was designed and underwent a rapid prototyping process with experts. Evaluative data was used to redesign and reevaluate the educational tool with a new group of learners to improve its effectiveness.
Setting: Large, university-based children's hospital.
Subjects: Pediatric critical care attending physicians, fellow physicians and advanced practice providers, and pediatric resident physicians.
Interventions: Integrating mastery learning and deliberate practice as theoretical frameworks, the authors designed an online "Image Library" composed of 90 questions of cardiac point-of-care ultrasound image clips with varying degrees of pathology that were organized into three levels of difficulty. Learners answered a set of 10 questions, learned from feedback, and repeated an additional set in the same difficulty until achieving a predefined level of mastery.
Measurements and main results: Two learning cycles were implemented with a total of 41 learners. Forty learners (98%) were able to demonstrate mastery on the Image Library and required a range of 30 to 210 questions to do so. On a 10-question final assessment, learners scored an average of 72%, while experts and novices scored 83% and 17%, respectively. On a 5-point scale, learners rated the quality of the Image Library for facilitation of learning (median 5), enjoyment of learning (5), and useful knowledge and skills to improve clinical practice (5).
Conclusions: An effective and innovative tool for teaching cardiac point-of-care ultrasound image interpretation was developed using the design-based research approach. Our results demonstrate the importance of individualized learning timelines for ultrasound image interpretation.