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Using a Wireless Electroencephalography Device to Evaluate E-Health and E-Learning Interventions
Tanya Mailhot1, Patrick Lavoie, Marc-André Maheu-Cadotte
1Tanya Mailhot, RN, PhD, is Postdoctoral Fellow, Faculty of Nursing and Faculty of Medicine, Université de Montréal, Montréal Heart Institute Research Center, Canada (''spell out province in bio). Patrick Lavoie, RN, PhD, is Postdoctoral Fellow, William F. Connell School of Nursing, Boston College, Massachusetts. Marc-André Maheu-Cadotte, RN, BSc, is Doctoral Student and Guillaume Fontaine, RN, MSc, is Doctoral Student, Faculty of Nursing, Université de Montréal, Montréal Heart Institute Research Center, Canada. Alexis Cournoyer, MD, is Doctoral Student, Université de Montréal, Hôpital du Sacré-Cœur de Montréal, Canada. José Côté, RN. PhD, is Professor, Faculty of Nursing, Université de Montréal, and Researcher, Centre Hospitalier de l'Université de Montréal Research Center, Canada. France Dupuis, RN, PhD, is Associate Professor, Faculty of Nursing, Université de Montréal, and Researcher, Sainte-Justine Research Center, Montréal, Canada. Thierry Karsenti, MA, MEd, PhD, is Professor, Faculty of Education Sciences, Université de Montréal, Canada. Sylvie Cossette, RN, PhD, is Professor, Faculty of Nursing, Université de Montréal, and Researcher, Montréal Heart Institute Research Center, Canada.
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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