This paper is in the following e-collection/theme issue:

Pregnancy Information, Education and Lifestyle Interventions (355) Substance Abuse (474) Mobile Apps for Pregnancy and Parenting Education (56) Harm Reduction Approaches (32) Opioid and Related Substance Misuse (175) mHealth in a Clinical Setting (687)

Published on in Vol 8 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60038, first published .
Usability and Acceptability of a Pregnancy App for Substance Use Screening and Education: A Mixed Methods Exploratory Pilot Study

Usability and Acceptability of a Pregnancy App for Substance Use Screening and Education: A Mixed Methods Exploratory Pilot Study

Usability and Acceptability of a Pregnancy App for Substance Use Screening and Education: A Mixed Methods Exploratory Pilot Study

Authors of this article:

Haley Fitzgerald1 Author Orcid Image ;   Madison Frank2 Author Orcid Image ;   Katelyn Kasula2 Author Orcid Image ;   Elizabeth E Krans2, 3 Author Orcid Image ;   Tamar Krishnamurti4 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Williams K, Nikolajski C, Rodriguez S, Kwok E, Gopalan P, Simhan H, Krishnamurti T. Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction. Journal of the American Medical Informatics Association 2025 View