Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53171, first published .
Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study

Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study

Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study

Dezhi Wu   1 , PhD, PMP ;   Hannah Shead   2 , MS ;   Yang Ren   3 , MS ;   Phyllis Raynor   4 , PhD ;   Youyou Tao   5 , PhD ;   Harvey Villanueva   3 ;   Peiyin Hung   6 , PhD ;   Xiaoming Li   6 , PhD ;   Robert G Brookshire   1 , PhD ;   Kacey Eichelberger   7, 8 , MD ;   Constance Guille   9 , MD ;   Alain H Litwin   7, 8 , MD ;   Bankole Olatosi   6 , PhD

1 Department of Integrated Information Technology, University of South Carolina, Columbia, SC, United States

2 Department of Mathematics, Augusta University, Augusta, GA, United States

3 Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States

4 College of Nursing, University of South Carolina, Columbia, SC, United States

5 Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, CA, United States

6 Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

7 School of Medicine Greenville, University of South Carolina, Greenville, SC, United States

8 Prisma Health, Greenville, SC, United States

9 College of Medicine, Medical University of South Carolina, Charleston, SC, United States

Corresponding Author:

  • Dezhi Wu, PhD, PMP
  • Department of Integrated Information Technology
  • University of South Carolina
  • 550 Assembly Street
  • Columbia, SC, 29208
  • United States
  • Phone: 1 8037774691
  • Email: dezhiwu@cec.sc.edu