Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46654, first published .
An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes

An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes

An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes

Naleef Fareed   1 , MBA, PhD ;   Christine Swoboda   2 , PhD ;   Yiting Wang   3 , MFA ;   Robert Strouse   3 , MFA ;   Jenelle Hoseus   4 , MBA ;   Carrie Baker   4 , BA ;   Joshua J Joseph   5 , MPH, MD ;   Kartik Venkatesh   6 , MD, PhD

1 Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States

2 Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States

3 Department of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, United States

4 Health Impact Ohio, Columbus, OH, United States

5 Division of Endocrinology, Diabetes and Metabolism, College of Medicine, The Ohio State University, Columbus, OH, United States

6 Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University, Columbus, OH, United States

Corresponding Author:

  • Naleef Fareed, MBA, PhD
  • Department of Biomedical Informatics
  • College of Medicine
  • The Ohio State University
  • 370 W. 9th Avenue
  • Columbus, OH, 43210
  • United States
  • Phone: 1 6143660283
  • Email: naleef.fareed@osumc.edu