TY - JOUR
T1 - Design and Usability of an Avatar-Based Learning Program to Support Diabetes Education
T2 - Quality Improvement Study in Colombia
AU - Bishop, Emma
AU - Allington, Daisy
AU - Ringrose, Tim
AU - Martin, Clare
AU - Aldea, Arantza
AU - García-Jaramillo, Maira
AU - León-Vargas, Fabian
AU - Leal, Yenny
AU - Henao, Diana
AU - Gómez, Ana Maria
N1 - Publisher Copyright:
© 2022 Diabetes Technology Society.
PY - 2023/9
Y1 - 2023/9
N2 - Background: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Control (ABLEDOC), explored the feasibility of delivering an educational program to people with diabetes in Colombia. The aim was to discover how this approach could be used to improve awareness and understanding of the condition, the effects of treatment, and strategies for effective management of blood-glucose control. Methods: Individuals with diabetes were recruited by Colombian endocrinologists to a human-centered study to codesign the educational program, using the Double Diamond model. Participants contributed to two phases. The first phase focused on gathering unmet educational needs and choice of curriculum. Three prototypes were developed as a result. During phase 2, a different group of participants engaged with the program for several weeks, before reporting back. Results: Thirty-six participants completed a Web survey during phase 1, and five were also interviewed by telephone. The majority (33 of 36; 91%) were receptive to the prospect of educational interventions and ranked the chosen topic of hypoglycemia highly. In phase 2, the three prototypes were tested by 17 participants, 10 of whom also gave feedback in focus groups. The response was overwhelmingly positive, with 16 of 17 (94%) stating they would use a program like this again. The 3D version was the most highly rated. Conclusions: Immersive, avatar-based programs, delivered through smartphone, have the potential to deliver educational information that is trusted, engaging, and useful. Future work includes expansion of the curriculum, evaluation with a larger group, and exploration of the prospective role of artificial intelligence in personalizing this form of educational intervention.
AB - Background: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Control (ABLEDOC), explored the feasibility of delivering an educational program to people with diabetes in Colombia. The aim was to discover how this approach could be used to improve awareness and understanding of the condition, the effects of treatment, and strategies for effective management of blood-glucose control. Methods: Individuals with diabetes were recruited by Colombian endocrinologists to a human-centered study to codesign the educational program, using the Double Diamond model. Participants contributed to two phases. The first phase focused on gathering unmet educational needs and choice of curriculum. Three prototypes were developed as a result. During phase 2, a different group of participants engaged with the program for several weeks, before reporting back. Results: Thirty-six participants completed a Web survey during phase 1, and five were also interviewed by telephone. The majority (33 of 36; 91%) were receptive to the prospect of educational interventions and ranked the chosen topic of hypoglycemia highly. In phase 2, the three prototypes were tested by 17 participants, 10 of whom also gave feedback in focus groups. The response was overwhelmingly positive, with 16 of 17 (94%) stating they would use a program like this again. The 3D version was the most highly rated. Conclusions: Immersive, avatar-based programs, delivered through smartphone, have the potential to deliver educational information that is trusted, engaging, and useful. Future work includes expansion of the curriculum, evaluation with a larger group, and exploration of the prospective role of artificial intelligence in personalizing this form of educational intervention.
KW - Colombia
KW - avatar
KW - diabetes management
KW - education
KW - human-centered design
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85142364427&partnerID=8YFLogxK
U2 - 10.1177/19322968221136141
DO - 10.1177/19322968221136141
M3 - Article
C2 - 36377096
AN - SCOPUS:85142364427
SN - 1932-2968
VL - 17
SP - 1142
EP - 1153
JO - Journal of Diabetes Science and Technology
JF - Journal of Diabetes Science and Technology
IS - 5
ER -