HappyMums Mobile Application Study (HappyMums)

December 2, 2025 updated by: King's College London

HappyMums - Can Data Collected by a Mobile App be Used to Help Learn More About Mental Health Symptoms in Pregnant Women and Birthing People at Risk of Depression in Pregnancy?

The goal of this study is to investigate whether pregnant people at risk of, or currently suffering from antenatal depression, find it acceptable to use the 'HappyMums' mobile application during their pregnancy. This app will collect data relevant to their mental health passively and through active engagement from the user. After the study is complete, these data will be put together to determine if such data types could be used in future to help predict and identify antenatal depression, and aid better treatment decisions.

Study Overview

Status

Recruiting

Detailed Description

HappyMums aims to develop a digital platform (smartphone app), and investigate whether data collected by a mobile app can be used to help learn more about mental health symptoms in pregnant women and birthing people at risk of depression in pregnancy.

This study aims to investigate the acceptability and usability of the HappyMums App. Following data collection, data will be aggregated to generate statistical models, with the aim of testing their predictive ability for antenatal depression trajectories.

The application will collect and integrate heterogenous data and will also allow an improvement of lifestyle attitudes, the maintenance of wellbeing in pregnancy, and the continuous monitoring of treatment efficacy. HM will therefore contribute to reducing the stigma by empowering mothers and birthing parents to monitor and master their mental health.

The study objective is to actively and passively gather data relevant to perinatal mental health, via a mobile application, which will be used to retrospectively develop an algorithm capable of identifying mental health trajectories in at-risk women/birthing people. The app will include game-like activities, access to an antenatal wellbeing course and space for pregnancy- and health-related data logging and monitoring. It will also utilise smartphone sensors to collect passive data types such as GPS, phone usage and step counts. This study will test the use of such mobile applications for patient mental health monitoring, and will also collect traditional research data such as biological samples and standardised questionnaires to be used as comparators to app-derived data.

Participants: Participants will be pregnant people either currently experiencing depressive symptoms, or who meet criteria for at least one risk factor for antenatal depression, previously identified from the literature, such as pregnancy complications or lack of social support. They will be recruited from 13 weeks' gestation to 28 weeks' gestation.

Recruitment: Recruitment will be conducted through self-referral, social media and online advertisement, and poster/flyer advertising in spaces and publications relevant to pregnant people, such as antenatal and health clinics, antenatal education spaces, children and family centres and newsletters.

Measures and Outcomes: Models will be generated to determine the ability of passively and actively app-collected data to predict antenatal depression symptoms through pregnancy, and how this compares to traditional measures such as standardised mental health questionnaires: Edinburgh Postnatal Depression Scale (EPDS), Generalised Anxiety Disorder Assessment (GAD-7) and Patient Health Questionnaire (PHQ-9).

For further cohort characterisation and to determine the influence of risk factors, other measures will also be collected and tested in the model: Mini International Neuropsychiatric Interview (subset only), Childhood Trauma Questionnaire (subset only), Adult Attachment Questionnaire, Life Events, Composite Abuse Scale, Maternal Antenatal Attachment Scale (subset only), Perceived Stress Scale (subset only), Multidimensional Scale of Perceived Social Support (subset only), Couple Satisfaction Index (subset only) and Postpartum Bonding Questionnaire (subset only).

Study Type

Observational

Enrollment (Estimated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Zagreb, Croatia
        • Recruiting
        • Catholic University of Croatia
      • Helsinki, Finland
        • Recruiting
        • University of Helsinki
      • Berlin, Germany
        • Recruiting
        • Charité - Universitätsmedizin Berlin
      • Milan, Italy
        • Recruiting
        • San Raffaele Hospital
      • Milan, Italy
        • Recruiting
        • University of Milan
      • Warsaw, Poland
        • Recruiting
        • SWPS University
    • UK
      • London, UK, United Kingdom, SE5 9RX

Participation Criteria

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.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

The study will consist of pregnant participants, up to 28 weeks' gestation, who have at least one risk factor for antenatal depression, or current depressive symptoms.

Description

Inclusion Criteria:

  • Pregnant people, aged 18 or older and up to 28 weeks' gestation.
  • Satisfactory understanding of English/national language of host country, in order to give fully informed consent.
  • Either suffering with depressive symptoms currently, or who have at least one risk factor for antenatal depression.
  • Owning a smartphone capable of downloading and running HappyMums application

Exclusion Criteria:

  • Inability to give informed consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Pregnant people currently experiencing, or at risk of, antenatal depression
All eligible participants will be given access to the 'HappyMums' mobile application, which will be used to collect data pertinent to their mental health status during pregnancy.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of participants who continue to use mobile application from enrolment until they give birth.
Time Frame: From enrolment to end of pregnancy.
The primary outcome is whether participants feel able to continue to use the app throughout their pregnancy. Usage data of the app will be logged to ascertain if participants continue to engage with it throughout their pregnancy. 'Usage' of the application will be defined as submission of any questionnaire, logging of data, or interaction with any other activities or content on the application. This will be quantified as proportion of participants who use the app weekly from their enrolment on the app to the end of their pregnancy.
From enrolment to end of pregnancy.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Usability of the mobile application - System Usability Scale
Time Frame: Administered once - to be completed from delivery to 2 months postpartum.
Questionnaire given to participants after pregnancy to ascertain if they find the app system usable.
Administered once - to be completed from delivery to 2 months postpartum.
Acceptance of the mobile application - Unified Theory of Acceptance and Use of Technology Scale.
Time Frame: Administered once - to be completed from delivery to 2 months postpartum.
Questionnaire given to participants after pregnancy to ascertain if they find the app system acceptable.
Administered once - to be completed from delivery to 2 months postpartum.
Severity of antenatal depression - Edinburgh Postnatal Depression Scale
Time Frame: Every 2 weeks from enrolment to end of pregnancy.
Antenatal depression will be measured using the EPDS, and will be available to complete on the application every 2 weeks.
Every 2 weeks from enrolment to end of pregnancy.
Development of clinically significant depression - Mini International Neuropsychiatric Interview
Time Frame: Administered at enrolment and up to 2 months postpartum
The MINI will be administered to a validation sub-cohort to identify development of, or change in, symptoms of Major Depressive Disorder. This will be used to validate app-derived data types used to identify depression.
Administered at enrolment and up to 2 months postpartum

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

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.

Study Major Dates

Study Start (Actual)

February 18, 2025

Primary Completion (Estimated)

July 30, 2026

Study Completion (Estimated)

October 31, 2026

Study Registration Dates

First Submitted

May 28, 2024

First Submitted That Met QC Criteria

August 28, 2024

First Posted (Actual)

August 29, 2024

Study Record Updates

Last Update Posted (Estimated)

December 9, 2025

Last Update Submitted That Met QC Criteria

December 2, 2025

Last Verified

November 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • KCL IRAS 339391

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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