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Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58327, first published .
Pregnant woman with headphones smiling and looking at her phone

Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review

Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review

Journals

  1. Barbach A, Ikken Y, Charrah Y, Chenguiti A, Dahmane O, Alami R, Barkat A. Expert-Based Content Validation of a Culturally Adapted Therapeutic Education Workbook for Gestational Diabetes in Moroccan and Arabic-speaking Contexts. Biomedical and Pharmacology Journal 2025;18(3):2357 View
  2. Luk B, Ma P, Lam W, Lai A, Chung R. Understanding gestational diabetes in Hong Kong: women’s needs, self-management challenges, and the potential of digital health solutions in culturally sensitive care. BMC Pregnancy and Childbirth 2025;25(1) View
  3. Chaudhary P, Bourgeois A, Underwood R, Martin M, Denstel K, Redman L, Staiano A. Awareness, Preferences, and Willingness to Download a Pregnancy Health Management App Among Women in Louisiana: Cross-Sectional Survey (Preprint). JMIR Formative Research 2026 View
  4. Gai B, Kamal A, Carter P, Tufte-Hewett A. A Critical Literature Review of Health Inequalities, Cultural Exclusion, and the Case for a Culturally Appropriate Digital Health Promotion App for Black Communities in England. Healthcare 2026;14(17):2808 View
  5. Fetrati H, Chan G, Orji R. Design, development, and evaluation of STI Shield: A multi-chatbot mobile application for sexual health education and behavior change in African young adults. International Journal of Human-Computer Studies 2027;218:103944 View
  6. Ratchakom P, Rosjan S, Piumsomboon T, Pongsamakthai M, Intharah T. Glumii: Personalized Supportive Passive-Active Conversational Agents for Pregnant Women With Gestational Diabetes Mellitus. IEEE Access 2026;14:138363 View

Conference Proceedings

  1. Unde H, Mane V, Ghorpade T. 2026 International Conference on Communication, Computing and Emerging Technologies (IC3ET). A Generic Survey and Research Gap Analysis of Hybrid AI and Barcode Based Approaches for Ingredient Analysis and Personalized Health Assessment View