This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
This research activity looks at the safety of an investigational intervention, a mobile health (mHealth) app called JUN, that uses artificial intelligence (AI) to track symptoms and give time-sensitive feedback to pregnant women. JUN is an intervention being developed to provide education and assist with decision making during pregnancy. The researchers hope to learn differences in how effectively the participant use of the app is amongst women with and without criminal justice oversight such as adult probation or parole.
Piloting of JUN to Enhance Self-Efficacy Pregnant Women
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
| Inclusion Criteria | Exclusion Criteria |
|---|---|
|
|
Sponsor: The University of Texas Health Science Center at San Antonio
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.