MTech4U - integrated care for pregnant women with type 1 diabetes using wearable technology
| ISRCTN | ISRCTN25071503 |
|---|---|
| DOI | https://doi.org/10.1186/ISRCTN25071503 |
| ClinicalTrials.gov (NCT) | Nil known |
| Clinical Trials Information System (CTIS) | Nil known |
| Integrated Research Application System (IRAS) | 261867 |
| Protocol serial number | IRAS 261867 |
| Sponsor | University of Ulster |
| Funder | Department for the Economy |
- Submission date
- 17/08/2021
- Registration date
- 24/08/2021
- Last edited
- 09/06/2023
- Recruitment status
- No longer recruiting
- Overall study status
- Completed
- Condition category
- Nutritional, Metabolic, Endocrine
Plain English summary of protocol
Background and study aims
Type 1 diabetes (T1D) is an auto-immune condition (where the immune system attacks the body) for which there is no cure. It is self-managed with insulin and regular blood glucose tests, in partnership with a specialist hospital team and other healthcare professionals. In Northern Ireland, about 10,000 people have T1D. The condition affects about 115 pregnancies and births each year. While the advances in insulin and the use of wearable technologies have improved these pregnancies, there are up to five times more problems than for non-diabetic populations.
The use of wearable technologies, such as glucose sensors and activity monitors can help to improve self-management using computers and artificial intelligence. The current challenge for pregnant women with T1D is making sense of the data available and responding accordingly.
Pregnancy guidelines recommend activity as an intervention to reduce the risk of blood clots. Having T1D makes it difficult to keep blood glucose levels in a safe range and activity causes pregnant women with T1D to have concerns.
The aim of this study is to identify significant patterns between blood glucose, insulin, diet, activity and heart rate and to look at how these connections affect pregnancy outcomes. This information might help pregnant women with T1D to have more normal pregnancies.
Who can participate?
Pregnant women who have had T1D for more than 1 year. They must be aged between 18-50 years old and able to read and speak English
What does the study involve?
Participants wear a glucose tracker and a fitness tracker. They will be asked to keep a diary to record periods of sickness or busy days as this may have an impact on their blood glucose levels. The women will record insulin doses and carbohydrates eaten. Photos of food eaten will help the research team to learn more about the link between food, insulin, and blood glucose. The fitness tracker will be provided by the research team but no physical activity levels will be provided. All women will follow normal pregnancy guidance around activity levels as advised by the hospital team. Blood pressure readings will be taken at each antenatal clinic visit as part of routine care. Readings from the glucose sensor and the wearable fitness tracker will be collected at the end of each fortnight’s observation by the researcher.
What are the possible benefits and risks of participating?
The study is low risk with no interventions, apart from wearing a commercially available fitness tracker. There is a possibility that a participant may suffer a pregnancy loss or a poor pregnancy outcome. It is hoped that the information from this research will help to make pregnancies to women with T1D more normal. As these women use insulin, they may sometimes have low blood glucose and need help from other people. They will be asked to check their blood glucose a minimum of eight times per day and will be supported by the hospital team.
Where is the study run from?
Ulster University in association with Craigavon Area Hospital (UK)
When is the study starting and how long is it expected to run for?
March 2020 to July 2022
Who is funding the study?
Department for the Economy, Northern Ireland (UK)
Who is the main contact?
Mrs Dawn Adams
adams-d10@ulster.ac.uk
Contact information
Public
8 Primrose Hill
Ballyvicknacally
Dromore
BT25 1FA
United Kingdom
| 0000-0001-7069-2346 | |
| Phone | +44 (0)7599911804 |
| adams-d10@ulster.ac.uk |
Study information
| Primary study design | Observational |
|---|---|
| Study design | Observational single-centre study |
| Secondary study design | Case series |
| Participant information sheet | 40299_PIS_V2_01Jun20.pdf |
| Scientific title | Pregnant women with type 1 diabetes - does wearable technology improve outcomes? |
| Study objectives | The purpose of this study is to investigate the use of wearable technologies by pregnant women with type 1 diabetes (T1D). The study will involve collecting data from pregnant women who have T1D and are using wearable technologies, such as the FreeStyle Libre glucose monitor and commercially available fitness tracker. Wearable glucose monitors have previously been shown to improve outcomes in pregnancies complicated by Type One diabetes. Computational analysis will be used to identify statistically significant correlations between insulin, carbohydrate, heart rate, activity and blood glucose data using a Flash glucose monitor and a commercial fitness tracker, over two weeks in each trimester of the pregnancy. The study will last for approximately 18 months. All data collected will be subject to Bayesian and statistical analysis. The researchers hope to increase understanding of the benefits of time spent in the optimal range for blood glucose, which is currently 3.5-7.8 mmol/l during pregnancy, specifically among those women using multiple daily injections of insulin. A cross-sectional analysis of information collected from wearable technologies using computational approaches may identify the impact of the data generated on pregnancy duration, maternal health in pregnancy, neonatal birth-weight and neonatal blood glucose levels. |
| Ethics approval(s) | Approved 15/09/2020, NHSBT Newcastle Blood Donor Centre (Holland Drive, HRA Newcastle, NE2 4NQ, UK; +44 (0)2071048265; tyneandwearsouth.rec@hra.nhs.uk), REC ref: 20/NE/0193 |
| Health condition(s) or problem(s) studied | Pregnant women with type 1 diabetes |
| Intervention | Fitness trackers will be given to consented participants by the Researcher at the start of the period of data collection, that is gestational week 9-11. Participants will be asked to wear the device on their non-dominant hand for a period of 2 weeks. After this time, data from the interstitial glucose monitor and the fitness tracker will be analysed using support vector machine (SVM), Bayesian Networks and Gaussian Regression models to identify potential correlations between the data sets and the impact on glucose levels, specifically Time in Range. |
| Intervention type | Device |
| Phase | Phase I |
| Drug / device / biological / vaccine name(s) | FreeStyle Libre Interstitial Glucose Sensor, MiBand 5 fitness tracker |
| Primary outcome measure(s) |
1. Time spent in the optimum glucose range of 3.5 mmol/mol - 7.8 mmol/mol measured using the Abbott FreeStyle Libre 14-day glucose sensor as a percentage at three timepoints, i.e. weeks 9-13, 20-24 and 32-36 |
| Key secondary outcome measure(s) |
The following outcome measures (except 8) are collated from written/printed records within the Northern Ireland Regional handheld maternity records. These contain NIMATS (Northern Ireland MATernity System) antenatal, intranatal, postnatal and neonatal reports as well as Lab reports for all blood results: |
| Completion date | 14/07/2022 |
Eligibility
| Participant type(s) | Patient |
|---|---|
| Age group | Adult |
| Lower age limit | 18 Years |
| Upper age limit | 50 Years |
| Sex | Female |
| Target sample size at registration | 20 |
| Key inclusion criteria | 1. Women with T1D in the first trimester of pregnancy 2. Aged 18 - 50 years old 3. Duration of diabetes >1 year 4. Using multiple daily injections or insulin pump therapy 5. Using an interstitial glucose sensor 6. BMI <40 kg/m² 7. Have undertaken a program of structured education for carbohydrate counting 8. Able to understand English |
| Key exclusion criteria | 1. Less than 18 years of age 2. Type 2 diabetes (T2D) or a genetic variant of diabetes 3. Diagnosed <1 year 4. Not using multiple daily injections or an insulin pump 5. Have not undertaken a program of structured education including carbohydrate counting 6. >13 weeks pregnant at the time of presenting to the antenatal clinic 7. Unable to read or understand English |
| Date of first enrolment | 08/07/2021 |
| Date of final enrolment | 29/01/2022 |
Locations
Countries of recruitment
- United Kingdom
- Northern Ireland
Study participating centre
Craigavon
Portadown
BT63 5QQ
United Kingdom
Results and Publications
| Individual participant data (IPD) Intention to share | Yes |
|---|---|
| IPD sharing plan summary | Other |
| IPD sharing plan | The datasets generated and/or analysed during the current study will be included in the subsequent results publication. |
Study outputs
| Output type | Details | Date created | Date added | Peer reviewed? | Patient-facing? |
|---|---|---|---|---|---|
| Dataset | version 2 | 23/08/2022 | No | No | |
| HRA research summary | 28/06/2023 | No | No | ||
| Participant information sheet | version 2 | 01/06/2020 | 19/08/2021 | No | Yes |
| Participant information sheet | Participant information sheet | 11/11/2025 | 11/11/2025 | No | Yes |
| Protocol file | 28/07/2020 | 19/08/2022 | No | No |
Additional files
- 40299_PIS_V2_01Jun20.pdf
- Participant information sheet
- 40299 Protocol 28July2020.pdf
- Protocol file
- 40299 Anonymised MTech4U Identified Participant Demographic info for ISRTCN v2.xlsx
- Dataset
Editorial Notes
09/06/2023: The following changes were made to the trial record:
1. The study settings home and internet/virtual were added.
2. The intention to publish date was changed from 19/12/2022 to 19/12/2024.
23/08/2022: Internal review.
19/08/2022: The following changes were made to the trial record:
1. A dataset was added.
2. Uploaded protocol (not peer-reviewed) as an additional file.
19/08/2021: Trial's existence confirmed by Ulster University.