JUN Mobile App for Pregnancy

Overseen By Allison Crawford, PhD

Age: 18 - 65

Sex: Female

Trial Phase: Academic

Sponsor: The University of Texas Health Science Center at San Antonio

Disqualifiers: Non-women, Late pregnancy

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial explores the safety and effectiveness of a new mobile health app called JUN, which uses AI to help pregnant women track symptoms and make informed decisions. The study aims to assess the app's effectiveness for pregnant women, both with and without criminal justice oversight such as probation or parole. Pregnant women within their first six months and living in Texas, Minnesota, or Oregon are eligible to participate. As an unphased trial, this study provides a unique opportunity for participants to contribute to innovative research that could enhance pregnancy care.

Do I need to stop my current medications to join the trial?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that the JUN mobile app is safe for pregnant women?

Research has shown that using mobile apps during pregnancy, such as the JUN app, is generally safe. Studies have found that these apps effectively provide health information without causing harm. One study on apps for pregnant women found them to be popular and without significant negative effects.

The JUN app specifically tracks symptoms and provides feedback using artificial intelligence. As it does not involve drugs or medical procedures, major side effects are unlikely. However, user experience and feedback are crucial to ensure the app remains safe and effective.

Overall, the JUN app aims to support pregnant women by offering timely advice without the safety concerns associated with medical treatments. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about the JUN_Pregnancy mobile app because it offers a unique approach to supporting pregnant women, particularly those under criminal justice oversight. Unlike traditional interventions that may involve in-person counseling or healthcare visits, this app provides digital support and resources directly to users' smartphones, making it accessible anytime and anywhere. This flexibility can be especially beneficial for women with limited mobility or privacy concerns. Additionally, the app is tailored to address the specific needs and challenges faced by pregnant women in the criminal justice system, offering targeted resources and support that are not typically addressed by standard prenatal care options.

What evidence suggests that the JUN app is effective for pregnancy?

Research has shown that mobile health apps for pregnancy, like JUN, can positively impact maternal health. One study found that these apps might reduce the likelihood of drinking during pregnancy compared to those who don't use them. Additionally, mobile apps can improve pregnancy outcomes by providing easier access to health information. Many pregnant women already use these apps, which assist with learning and decision-making during pregnancy. In this trial, participants will use the JUN_Pregnancy Mobile Medical App, with one group consisting of pregnant women without criminal justice oversight and another group under community supervision. Although specific data on JUN is limited, its AI-driven feedback is designed to offer timely support for expectant mothers. ^{1 6 7 8 9}

Who Is on the Research Team?

Allison Ihle, PhD

Principal Investigator

The University of Texas Health Science Center at San Antonio

Are You a Good Fit for This Trial?

This trial is for pregnant women interested in using a mobile health app called JUN, which provides AI-driven feedback and education during pregnancy. Women under criminal justice oversight like probation or parole are also included to compare usage effectiveness.

Inclusion Criteria

I am a pregnant woman aged between 18 and 50.

Within the first 6 months of pregnancy

Either on community supervision or without criminal system involvement

Exclusion Criteria

I do not identify as a woman.

Later pregnancy, beyond the first 6 months

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Intervention

Participants use the JUN mHealth app to track symptoms and receive feedback

3 months

Monthly virtual check-ins

Follow-up

Participants are monitored for self-efficacy and health practices after using the app

4 weeks

What Are the Treatments Tested in This Trial?

Interventions

• JUN_Pregnancy Mobile Medical App

Trial Overview The study tests the safety and efficacy of the JUN mHealth app in tracking pregnancy symptoms and offering timely advice. It aims to understand how well participants use the app, especially comparing those with criminal justice involvement.

How Is the Trial Designed?

Group I: Pregnant without Criminal Justice Oversight Experimental Treatment 1 Intervention

Pregnant women who are without criminal justice oversight

Group II: Pregnant with Criminal Justice Oversight Experimental Treatment 1 Intervention

Pregnant women who are under Community Supervision (CS), on probation or parole with criminal justice oversight

Who Is Running the Clinical Trial?

The University of Texas Health Science Center at San Antonio

Lead Sponsor

Trials

486

Recruited

92,500+

The University of Texas at San Antonio

Collaborator

Trials

24

Recruited

7,600+

Published Research Related to This Trial

Pregnant women at high risk for gestational diabetes mellitus (GDM) expressed a strong desire for user-friendly mobile health apps that offer personalized features, accurate information, and interactive designs to help prevent GDM.

The study identified key app functionalities that could support healthy living habits, including professional and peer support, practical tools, and effective reminder systems, which are essential for improving user engagement and app effectiveness.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Assessing the Views and Needs of People at High Risk of Gestational Diabetes Mellitus for the Development of Mobile Health Apps: Descriptive Qualitative Study. Duan, B., Liu, Z., Liu, W., et al.[2022]

Citations

1. withpower.com withpower.com/trial/phase-pregnancy-related-11-2024-44618

JUN Mobile App for Pregnancy · Info for Participants This trial is for pregnant women interested in using a mobile health app called JUN, which provides AI-driven feedback and education during pregnancy. Women ...

2. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC11170050/

Effectiveness of mHealth Apps for Maternal Health Care Delivery All studies showed that digital interventions may decrease the odds of drinking during pregnancy relative to comparison groups. The primary meta-analysis ...

3. bmcpregnancychildbirth.biomedcentral.com bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-023-06206-z

Mobile health apps for pregnant women usability and quality ... This study is to identify the apps used by pregnant women during the technology era and to choose the best app from the point of view of pregnant women and ...

4. mhealth.jmir.org mhealth.jmir.org/2018/8/e10012/

The Effect of Mobile App Interventions on Influencing Healthy ... It has been hypothesized that mobile apps may improve perinatal outcomes by encouraging access to health information, modifying demand for ...

5. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC11587608/

Smartphone pregnancy apps: systematic analysis of features ... Over 50% of pregnant women use pregnancy applications (apps). Some app s lack credibility, information accuracy, and evidence-based clinical advice.

6. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC11539094/

Pregnancy mobile app use: A survey of health information ... The study surveyed pregnant women in Australia who were recruited via online platforms, including social media and paid Facebook ads.

7. onlinelibrary.wiley.com onlinelibrary.wiley.com/doi/full/10.1002/rfc2.74

An innovative mobile app for the provision of medical ... An innovative mobile app for the provision of medical information and collection of safety data on exposure to medicines during pregnancy or breastfeeding.

8. journals.sagepub.com journals.sagepub.com/doi/10.1177/20552076231198683

Safety considerations for assessing the quality of apps ... This scoping review aimed to systematically and thematically consolidate safety considerations described in reviews evaluating pregnancy-specific apps.

9. sciencedirect.com sciencedirect.com/science/article/pii/S0892036223000648

The development of a mobile app to inform pregnant ... The aim of this project is to develop a user-friendly E-Health tool (a mobile app) with evidence-based information about the safety of primarly OTC medicines.