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Use of functional near-infrared spectroscopy to evaluate cognitive change when using healthcare simulation tools

  • Natasha Taylor
  • , Martyn Wyres
  • , Martin Bollard
  • , Rosie Kneafsey

    Research output: Contribution to JournalArticlepeer-review

    Abstract

    Background
    The use of brain imaging techniques in healthcare simulation is relatively rare. However, the use of mobile, wireless technique, such as functional
    near-infrared spectroscopy (fNIRS), is becoming a useful tool for assessing the unique demands of simulation learning. For this study, this imaging technique was used to evaluate cognitive load during simulation learning
    events.

    Methods
    This study took place in relation to six simulation activities, paired for similarity, and evaluated comparative cognitive change between the three task pairs. The three paired tasks were: receiving a (1) face-to-face and (2) video patient handover; observing a simulated scene in (1) two dimensions and (2) 360° field of vision; and on a simulated patient (1) taking a pulse and (2) taking a pulse and respiratory rate simultaneously. The total number of participants was n=12.

    Results
    In this study, fNIRS was sensitive to variations in task difficulty in common simulation tools and scenarios, showing an increase in oxygenated
    haemoglobin concentration and a decrease in deoxygenated haemoglobin concentration, as tasks increased in cognitive load.

    Conclusion
    Overall, findings confirmed the usefulness of neurohaemoglobin concentration markers as an evaluation tool of cognitive change in healthcare
    simulation. Study findings suggested that cognitive load increases in more complex cognitive tasks in simulation learning events. Task performance that increased in complexity therefore affected cognitive markers, with increase in mental effort required.
    Original languageEnglish
    Article number000517
    Pages (from-to)360-364
    Number of pages5
    JournalBMJ Simulation and Technology Enhanced Learning
    Volume6
    Issue number6
    DOIs
    Publication statusPublished - 1 Nov 2020

    Keywords

    • cognitive load
    • simulation
    • fNIRS
    • Modelling and Simulation
    • Education
    • Health Informatics

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