@inproceedings{810f1500b5dd4cd59282169b10c1d685,
title = "A Web-Based Public Health Intervention for Addressing Vaccine Misinformation: Analysis of Learner Engagement and Shift in Hesitancy to Vaccinate",
abstract = "Web-based public health interventions can be a useful tool for disseminating evidence-based information to the public. However, completion rates are traditionally low, and misinformation often travels at a faster pace than evidence-based sources. This study describes the design of a web-based public health intervention to address COVID-19 vaccine hesitancy. A quasi-experimental approach was used in which a validated instrument, the Adult Vaccine Hesitancy Survey, was given to learners both pre and post intervention to observe any change in attitude towards vaccination. Our pilot observed a small positive shift in vaccine hesitancy and experienced higher than average completion rates. By integrating motivational learning design into public health interventions we increase the likelihood that learners finish the entire intervention, creating greater chance for positive behavior change.",
keywords = "COVID-19, Health communication, health intervention, learning analytics, public health, vaccine hesitancy",
author = "Leigh Powell and Radwa Nour and \{Al Suwaidi\}, Hanan and Nabil Zary",
note = "Publisher Copyright: {\textcopyright} 2023 European Federation for Medical Informatics (EFMI) and IOS Press.; 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 ; Conference date: 22-05-2023 Through 25-05-2023",
year = "2023",
month = may,
day = "18",
doi = "10.3233/SHTI230173",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "463--467",
editor = "Maria Hagglund and Madeleine Blusi and Stefano Bonacina and Lina Nilsson and Madsen, \{Inge Cort\} and Sylvia Pelayo and Anne Moen and Arriel Benis and Lars Lindskold and Parisis Gallos",
booktitle = "Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023",
address = "Netherlands",
}