Addressing Pregnant Women's First Trimester Worries and Information Needs With mHealth Solutions

NCT ID: NCT07114471

Last Updated: 2025-08-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

1450 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-09-30

Study Completion Date

2027-10-31

Brief Summary

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The first 12 weeks of pregnancy, known as the first trimester, can be one of the most worrying times for women. (Where this lay summary refers to women, it should be taken to include people who do not identify as women but who have the capacity to become pregnant). Many experience nausea, bleeding, or anxiety about whether the pregnancy is progressing normally. Despite this, most women do not see a midwife or doctor until around 10 weeks into the pregnancy. This leaves a gap where they may have important questions but little professional support. As a result, many turn to mobile phone applications or the internet to find answers - but the quality of information online is mixed, and it can be confusing or even unsafe.

This research aims to understand what support women really need in early pregnancy, what concerns they have, and whether a mobile health application (mHealth app) could help fill this gap in current pregnancy care in a safe and personalised way. The study will also ask healthcare professionals and digital health experts what such an application should include, and how it can be made accessible, and easy to understand for all women - including those with different levels of health knowledge and digital skills.

To carry out the research, we will use a combination of online surveys and interviews. Women who are currently pregnant or have had a baby in the last two years will be invited to take part, along with healthcare professionals such as midwives and doctors, and experts in digital health. The survey will ask about their experiences in early pregnancy, how they have used digital tools or apps, and whether they felt their questions were answered before their first NHS appointment. The interview stage will allow participants to talk in more depth about what support they wanted and what would have helped them most. All participants will receive information about support services because we realise that discussing unmet information needs or worries in early pregnancy may be upsetting for some women.

The views collected will inform the design of a new mobile application to support women during early pregnancy. The application will use artificial intelligence (AI) to personalise information based on each woman's needs and background, and to explain things clearly and simply. The content and design of the application will be reviewed by doctors and digital health specialists to make sure it is safe, accurate, and easy to use.

Public and patient involvement is central to this project. A diverse group of women and representatives from grassroots organisations will be invited to shape the questions we ask, review the design of the application, and help us make it inclusive for people from different backgrounds.

This research will help us create a practical, trustworthy, and inclusive tool to support women during one of the most vulnerable times in pregnancy when women don't usually see a doctor. If successful, it could be used widely across the NHS to help reduce anxiety, improve understanding, and ensure women get the right support earlier in their pregnancy with the long-term aim of improving outcomes for women, babies, and families across the UK.

Detailed Description

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Conditions

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Pregnancy Trimester, First Anxiety Worries Health Knowledge, Attitudes, Practice mHealth Application Mobile Application Antenatal Care Patient Education as Topic

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Pregnant women

Currently pregnant women, women who have had a child or have been pregnant in the last 2 years

No interventions assigned to this group

Healthcare Professionals

Healthcare Professionals involved in the care of pregnant women

No interventions assigned to this group

Digital Health Experts

Professionals with a least 3 years experience in digital health, health informatics or mobile health application development

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* To ensure that participants have the first trimester of pregnancy fresh in their minds the sample will include women that are currently pregnant or have had a child within the last 2 years
* Living in the UK
* Over the age of 18

\- Belonging to one of the following professional groups i.e. healthcare professionals involved in the care of pregnant women

* Doctor in obstetrics and gynaecology
* Midwives
* Nurses (within the field of obstetrics and gynaecology),
* Sonographers that scan pregnant women
* General practitioners
* Psychologists (that work with pregnant women)
* Physiotherapists (that work with pregnant women)
* Living in the UK
* Over the age of 18

* Professionals with at least 3 year's experience in digital health, health informatics or mobile health application development

Exclusion Criteria

* Evidence of/diagnosis of cognitive impairment

Healthcare professionals

* Evidence of/diagnosis of cognitive impairment

Digital Health Experts

* Evidence of/diagnosis of cognitive impairment
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Chelsea and Westminster NHS Foundation Trust

OTHER

Sponsor Role collaborator

Kendall Healthcare Group, Ltd.

INDUSTRY

Sponsor Role collaborator

Bournemouth University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Central Contacts

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Stephanie Gorgievska, MBBS BSc MRCOG

Role: CONTACT

00442037334385

Other Identifiers

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14945

Identifier Type: -

Identifier Source: org_study_id

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