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Pregnancy RelatedNCT05502510

Assessing the Effectiveness and Efficacy of the MyHealthyPregnancy Application

An observational study of Pregnancy Related and Preterm Birth, run by Naima Health LLC at 1 site in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

One in ten births will occur prior to 37 weeks of gestation leading to serious complications such as problems with lung, heart and brain function and an increased risk of infant mortality. Read more about this study

Who is it for?
Ages 18 years and older, women onlyHealthy volunteers can take part
Conditions the study is for
Pregnancy Related, Preterm Birth
What is being tested?
MyHealthyPregnancy
How many people
12,344 participants
Where
1 siteUnited States
Study dates
23 Sep 2019to 28 Feb 2022
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • Women only
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: Pregnant people offered a prescription for MyHealthyPregnancy who were at least 18 years of age, pregnant, received care at UPMC, and delivered at a UPMC hospital

Who may be able to join

  • Offered a prescription for MyHealthyPregnancy
  • 18+ years of age
  • Pregnant
  • Seeking care at a UPMC hospital
  • Delivered at a UPMC hospital

Who cannot join

None listed.

Trial locations and contacts

1 site in 1 country.

United States1 site
  • University of Pittsburgh Medical Center

    Pittsburgh, Pennsylvania, 15213

Other trials in United States

About this study

One in ten births will occur prior to 37 weeks of gestation leading to serious complications such as problems with lung, heart and brain function and an increased risk of infant mortality. Solutions exist to treat risk factors related to preterm birth but these solutions require timely identification of the risks which is often not possible within regular prenatal care. This study will evaluate MyHealthyPregnancy, an application that monitors for common risks associated with preterm birth and recommends solutions to the expectant mother and care team.

Read the detailed description

MyHealthyPregnancy (MHP) is an application that was developed using behavioral decision science principles. This study seeks to evaluate the effectiveness and efficacy of the application. MyHealthyPregnancy was offered to expectant mothers at the University of Pittsburgh Medical Center in conjunction with usual prenatal care. The primary objective is to compare the reduction in gestational age at birth between MHP and usual care cohorts. Secondary objectives include comparing births occurring prior to 37 weeks of gestation, depression rates, anxiety rates, referrals to behavioral health, referrals to social workers, preeclampsia rates, gestational weight gain, number of prenatal appointments attended, and percent of required prenatal appointments attended between the MHP and usual care cohorts.

Being tested
MyHealthyPregnancy
Medical subject headings
Premature Birth

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • MyHealthyPregnancyBehavioural

    MyHealthyPregnancy is a mobile application prescribed to expectant mothers in conjunction with normal prenatal care. The application uses behavioral decision science principles to identify risks of preterm birth and alert the mother and care team of these risks.

Study groups in NCT05502510
Study groupRoleWhat they receive
MyHealthyPregnancy (MHP)Use of the MyHealthyPregnancy application in conjunction with usual care.
Receives: Behavioral: MyHealthyPregnancy
Usual Prenatal Care (usual care)Usual prenatal care consisting of biweekly visits with the patient care team.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Gestational Age at Birth

    Gestational age at birth will be measured using each patients electronic health record. The average treatment effect will be calculated using linear regression comparing MHP and usual care cohorts.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects gestational age at birth.

    Measured: Baseline to 40 Weeks

Secondary outcomes (9)
  1. Prenatal Births

    Occurrence of preterm birth will be measured using each patient's electronic health record. The likelihood of preterm birth between the MHP and usual care cohorts will be compared using logistic regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects preterm birth.

    Measured: Baseline to 37 Weeks

  2. Depression Rates

    Depression rates will be measured using diagnoses of depression in each patient's electronic health record. Depression rates between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects depression rates.

    Measured: Baseline to 40 Weeks

  3. Anxiety Rates

    Anxiety rates will be measured using diagnoses of anxiety in each patient's electronic health record. Anxiety rates between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects anxiety rates.

    Measured: Baseline to 40 Weeks

  4. Referrals to Behavioral Health Specialists

    Rates of referrals to behavioral health specialists will be measured using each patient's electronic health record. Rates in referrals between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects rates of referrals.

    Measured: Baseline to 40 Weeks

  5. Referrals to Social Workers

    Rates of referrals to social workers will be measured using each patient's electronic health record. Rates in referrals between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects rates of referrals.

    Measured: Baseline to 40 Weeks

  6. Preeclampsia

    Preeclampsia will be measured using each patient's electronic health record. Rates of preeclampsia between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects preeclampsia.

    Measured: Baseline to 40 Weeks

  7. Gestational Weight Gain

    Gestational weight gain will be measured by calculating the difference between each patient's initial weight and delivery weight recorded in their electronic health record. Gestational weight gain will be categorized as sufficient or insufficient according to 2009 Institute of Medicine guidelines. The likelihood of achieving sufficient gestational weight gain between the MHP and usual care cohorts will be compared using ordinal regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects the likelihood of achieving sufficient gestational weight gain.

    Measured: Baseline to 40 Weeks

  8. Attendance at Prenatal Appointments

    Number of prenatal visits attended will be measured using each patient's electronic health record. The number of visits attended between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects attendance at prenatal visits.

    Measured: Baseline to 40 Weeks

  9. Attendance at Required Prenatal Appointments

    The percent of required prenatal appointments attended will be measured using each patient's electronic health record. The percent of visits attended between the MHP and usual care cohorts will be compared using linear regression.

    Efficacy of the application will be assessed using a dose-response model to evaluate how use of the application affects attendance at prenatal visits.

    Measured: Baseline to 40 Weeks

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted16 Aug 2022
  2. Study start23 Sep 2019
  3. Primary completion28 Feb 2022
  4. Study completion28 Feb 2022

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
12,344 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05502510
Sponsor's protocol ID
1684
Status last verified
Aug 2022
First submitted
12 Aug 2022
Last updated
16 Aug 2022
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Pregnancy Related and Preterm Birth, run by Naima Health LLC at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 5 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 16 Aug 2022. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Gestational Age at Birth (time frame: Baseline to 40 Weeks). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Aug 2022.

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