Active not recruitingOBSERVATIONAL

Gestational Diabetes Monitoring and Management

This study uses existing medical information from pregnant women with gestational diabetes (high blood sugar during pregnancy) to better understand and manage their condition. Researchers aim to predict any possible health issues for both mother and baby at birth. They also want to find the best schedule for checking blood sugar levels, potentially reducing the number of tests needed. By using advanced computer tools, the study hopes to develop better ways to control blood sugar and identify women who might be at different levels of risk. This could lead to faster, more effective care and more convenient home-based monitoring, ultimately improving care for pregnant women with gestational diabetes.

At a glance

Status

Active not recruiting

Sponsor

University of Oxford

Enrolment target

1,800

Start

01 Dec 2021

Estimated completion

31 Aug 2025

Gestational Diabetes Pregnancy Complications Pregnancy in Diabetic Pregnancy, High Risk Diabetes Complications Pregnancy Induced Hypertension Pregnancy Weight Gain Gestational Hypertension Gestational Weight Gain Gestational Diabetes Mellitus in Pregnancy Gestational Complication Gestational Mother Pregnancy Preterm Pregnancy Bleeding Pregnancy Loss Birth Weight Birth Outcome, Adverse Birth, Preterm Birth Hypoxia

What is this study about?

This study is all about understanding and improving care for pregnant women who develop gestational diabetes. Gestational diabetes is a type of diabetes that can happen during pregnancy, causing blood sugar levels to become too high. It affects around 1 in 10 pregnant women in the UK.

The main goal of this research is to use existing information, like blood sugar readings and other routine clinical data, to predict how pregnancy will progress and what might happen at birth for both the mother and baby. Researchers are particularly interested in developing new computer models to figure out the best way for women to monitor their blood sugar, aiming to make it as effective as possible while potentially reducing the number of blood tests they need to do. They also want to understand if there are different types of gestational diabetes and how best to manage them.

By building on expert research from the University of Oxford, this study hopes to create clever computer tools (using something called AI, or Artificial Intelligence) that can help identify women at different risk levels. The idea is that better control of blood sugar will lead to better health outcomes for mums and babies. If successful, this research could lead to quicker treatment, allow more women to manage their condition from home instead of needing hospital visits, and generally improve the quality of care for expectant mothers with gestational diabetes.

Key takeaways

The study aims to improve care for pregnant women with gestational diabetes.
It uses existing, anonymous medical data, so no active participation is required.
Researchers want to predict health outcomes for mothers and babies.
The goal is also to find the best way to monitor blood sugar, potentially reducing tests.
Results could lead to faster treatment and more home-based care options.

Who may be eligible?

To be included in this study, women must be pregnant and have been diagnosed with gestational diabetes. They also need to have their blood sugar monitoring records stored in a specific system called 'GDm-Health'.

However, if a woman has previously said that she doesn't want her data to be shared through the GDm-Health system, or if she has opted out of her health data being used for research, then she cannot be part of this study.

The study is looking at data from women aged between 18 and 99 years old.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you a pregnant woman diagnosed with gestational diabetes?
Are your blood glucose monitoring records on the GDm-Health system?
Have you previously agreed for your health data to be used for research?
Are you currently aged between 18 and 99 years old?

Answer every question to see your result.

What does participation involve?

As this study uses existing information, there's no active participation involved for you. You won't need to attend any appointments, take new medications, or undergo any additional tests. Your participation is based on whether your past medical data meets the study criteria and if you've previously agreed for your data to be used for health research.

Potential risks and benefits

Since this study only uses existing, de-identified medical data, there are no direct physical risks or benefits to individuals. Your personal information will be protected, and the study will not involve any direct interaction with you. The potential benefit is that the knowledge gained from this research could lead to improved monitoring and care for pregnant women with gestational diabetes in the future, ultimately leading to better health outcomes for mothers and babies. You also retain the right to withdraw your consent for your data to be used in health research at any time.

Locations (1)

Some site locations are approximate. We're improving this — please verify with the trial team before travelling.

University of Oxford
Verified postcode
Oxford, United Kingdom

Common questions

What is gestational diabetes?

Gestational diabetes is when your blood sugar levels become too high during pregnancy, even if you didn't have diabetes before.

Will I have to do anything if my data is used?

No, you won't need to do anything. This study uses existing, anonymous data, so there are no extra tests or appointments for you.

How will this study help pregnant women?

It aims to find better ways to monitor blood sugar, predict potential problems, and improve care for mums and babies with gestational diabetes.

Is my personal information safe?

Yes, the study uses existing data that has been made anonymous, meaning your personal details are protected.

Can I choose not to have my data used?

Yes, if you have previously opted out of your health data being used for research, or if you haven't consented for your data on the GDm-Health system to be shared for research, you won't be included.