Methods to modernize a multimedia, web-based reproductive health education intervention for individuals with sickle cell disease or trait using virtual human narration and user-centered design

<b>Objectives:</b> For a population that lacks genetic inheritance knowledge about sickle cell disease/trait, a previously innovative web-based intervention showed significant and sustained knowledge improvement, but current users judged it as "dated." We aimed to modernize the reproductive health intervention, revitalizing its presentation format and providing access to it via all operating systems and browsers. <b>Methods:</b> Young adults (N = 82, mean age 30.3 ± 5.8 years, 76% female, 94% Black, 74% never married) and our interdisciplinary team collaborated in an iterative, user-centered redesign process. We added virtual human narration and interactive interface enhancements to improve accessibility, engagement, and cross-platform compatibility. Functionality testing continued iteratively until all components operated as intended across devices and browsers. <b>Results:</b> After 9 months of redevelopment, the educational program functioned as intended on Windows, Android, and Apple computers and mobile devices. Of the 82 users, 100% enjoyed using it, and 95% indicated it was easy to use. <b>Conclusion:</b> Redevelopment required 6 months longer than expected due to the scope of the updates and integration of advanced features. Designed for an underserved population, the modernized intervention is now undergoing evaluation in a randomized controlled trial. Future directions include the integration of conversational AI and broader application in digital health education.

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Publication Details

Journal
Health Informatics Journal
Published
2025-10-01
DOI
https://doi.org/10.1177/14604582251397311
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Methods to modernize a multimedia, web-based reproductive health education intervention for individuals with sickle cell disease or trait using virtual human narration and user-centered design

AKM Monwarul Islam, Yingwei Yao, Brenda W. Dyal, Keesha Powell-Roach et al.
Health Informatics Journal
Artificial Intelligence in Healthcare and Education
article

Methods to modernize a multimedia, web-based reproductive health education intervention for individuals with sickle cell disease or trait using virtual human narration and user-centered design

AKM Monwarul Islam, Yingwei Yao, Brenda W. Dyal, Keesha Powell-Roach, Tyra Reed, Guettchina Telisnor, Alexandre Gomes de Siqueira, Destiny Gordon, Anna Le, Gina M. Gehling, Miriam O. Ezenwa, Diana J. Wilkie, Amelia Greenlee, Agatha M. Gallo, Candice J. Adams-Mitchell, Aravind Subramanian, Rishabh Garg, Sriram Kalyanaraman, Lucien Vandy Black
article en

Abstract

<b>Objectives:</b> For a population that lacks genetic inheritance knowledge about sickle cell disease/trait, a previously innovative web-based intervention showed significant and sustained knowledge improvement, but current users judged it as "dated." We aimed to modernize the reproductive health intervention, revitalizing its presentation format and providing access to it via all operating systems and browsers. <b>Methods:</b> Young adults (N = 82, mean age 30.3 ± 5.8 years, 76% female, 94% Black, 74% never married) and our interdisciplinary team collaborated in an iterative, user-centered redesign process. We added virtual human narration and interactive interface enhancements to improve accessibility, engagement, and cross-platform compatibility. Functionality testing continued iteratively until all components operated as intended across devices and browsers. <b>Results:</b> After 9 months of redevelopment, the educational program functioned as intended on Windows, Android, and Apple computers and mobile devices. Of the 82 users, 100% enjoyed using it, and 95% indicated it was easy to use. <b>Conclusion:</b> Redevelopment required 6 months longer than expected due to the scope of the updates and integration of advanced features. Designed for an underserved population, the modernized intervention is now undergoing evaluation in a randomized controlled trial. Future directions include the integration of conversational AI and broader application in digital health education.

Health Informatics JournalVol. 31(4)
University of Tennessee Health Science Center (US), University of Florida (US), Michigan State University (US)
Openalex Percentile: Top 71%
Artificial Intelligence in Healthcare and Education
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