Using a wireless electroencephalography device to evaluate e-health and e-learning interventions
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Nursing research ; vol. 67, no 1, p. 43-48.Éditeur·s
Lippincott, Williams and WilkinsAuteur·e·s
Résumé·s
Background: Measuring engagement and other reactions of patients and health professionals to e-health and e-learning
interventions remains a challenge for researchers.
Objective: The aim of this pilot study was to assess the feasibility and acceptability of using a wireless electroencephalography
(EEG) device to measure affective (anxiety, enjoyment, relaxation) and cognitive (attention, engagement, interest) reactions of
patients and healthcare professionals during e-health or e-learning interventions.
Methods: Using a wireless EEG device, we measured patient (n = 6) and health professional (n = 7) reactions during a
10-minute session of an e-health or e-learning intervention. The following feasibility and acceptability indicators were
assessed and compared for patients and healthcare professionals: number of eligible participants who consented to
participate, reasons for refusal, time to install and calibrate the wireless EEG device, number of participants who completed the
full 10-minute sessions, participant comfort when wearing the device, signal quality, and number of observations obtained for
each reaction. The wireless EEG readings were compared to participant self-rating of their reactions.
Results: We obtained at least 75% of possible observations for attention, engagement, enjoyment, and interest. EEG scores
were similar to self-reported scores, but they varied throughout the sessions, which gave information on participants’ real-time
reactions to the e-health/e-learning interventions. Results on the other indicators support the feasibility and acceptability of
the wireless EEG device for both patients and professionals.
Discussion: Using the wireless EEG device was feasible and acceptable. Future studies must examine its use in other contexts of care
and explore which components of the interventions affected participant reactions by combining wireless EEG and eye tracking.
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