Reducing Nonessential Cognitive Load to Improve Health-related Data-based Reasoning: Results from a Pilot Experiment Sam Schimke – First Author Kathryn.

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Presentation transcript:

Reducing Nonessential Cognitive Load to Improve Health-related Data-based Reasoning: Results from a Pilot Experiment Sam Schimke – First Author Kathryn Becker-Blease – Second Author Thanks to Rose Nguyen and Christian Sinnott

Introduction and Purpose Examine how people read and respond to scientific information Use techniques to reduce cognitive load without reducing essential information Apply techniques to create patient materials that help them better understand disease conditions (Cancer risk, diabetes, etc.)

Methods Participants analyzed a graph containing information on Breast and Ovarian Cancer risk for patients carrying BRCA 1 and BRCA 2 mutations Reduced cognitive load group: Received segmented, signaled information with audio recording alongside the graph. Received same information as text at the end Non-reduced cognitive load group: Received only graph and additional paragraph of information Understanding of graph analyzed by multiple choice quiz and free- response

Results No significant difference in answers correct between groups Participants identified as pre-med scored slightly significantly higher (p<0.10) No correlations seen with amount correct and high school GPA, self- reported math ability, or self-reported graph reading ability

Distribution of Quiz Scores

Issues/Moving Forward Quiz may have been too easy: may need to provide greater number of questions and make them more difficult Both groups had the summary paragraph at the end alongside the graph while answering questions: so both groups may have only been using this one piece of information for answering questions