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| Funder | National Institute for Health and Care Research |
|---|---|
| Recipient Organization | Barts Health Nhs Trust |
| Country | United Kingdom |
| Start Date | Feb 01, 2025 |
| End Date | Jan 31, 2030 |
| Duration | 1,825 days |
| Number of Grantees | 2 |
| Roles | Principal Investigator; Award Holder |
| Data Source | NIHR Open Data-Funded Portfolio |
| Grant ID | NIHR205013 |
Background: Medication use in pregnancy is common, yet current knowledge of the clinical risk/benefit and safety profiles of these medications remains very limited.
As a result, making decisions about starting, continuing and stopping medications during pregnancy can be challenging and these decisions are likely to impact the long-term health and well-being of women and their children. Thus, comprehensive population-based, longitudinal data systems are urgently required to address this knowledge gap.
In the United Kingdom, availability of extensive electronic healthcare, civil registration and educational data offer a unique opportunity to develop such data systems.
Aim and Objectives: To establish and evaluate a novel data system to determine the uptake and safety of medications during pregnancy.
Specific objectives are to 1) establish the current evidence on the prevalence, clinical benefit/risk and safety profiles of medications used in pregnancy, 2) develop a new data system, 3) use this data system to explore the clinical benefit/risk and safety profiles of selected medications, 4) develop risk communication tools for these medications and evaluate their use by women and healthcare professionals, 5) explore health economic impacts of the data system, 6) ensure that the data system becomes an accessible national resource and, 7) integrate active patient and public involvement in each objective.
Methods: First, in order to establish the most current evidence on the prevalence, clinical benefit/risk and safety profiles of medications used during pregnancy, a systematic review and subsequently a cohort study will be carried out. Current clinical decision-making practices will be explored using qualitative interviews.
Second, additional data linkages to one of the most comprehensive primary care databases in the UK, QResearch Database, will be used to develop a novel data system.
These linkages will be in addition to currently available data links to hospital, civil registration and cancer records and will include data linkages to maternity, birth registration, hospital prescribing, teratology, maternal confidential enquiry and schooling records.
This data system will be subsequently tested on selected medications to explore their clinical risk/benefit and safety profiles.
Third, risk communication tools and decision aids for the above selected medications will be developed and their use evaluated by women and healthcare professionals.
Fourth, the health economic impact of the development of this new data system will be explored through economic analyses.
Fifth, routes for the data system to be made available to the wider research community and regulatory authorities will be established through links with and support from Health Data Research UK and UK Biobank.
Finally, all steps will include active involvement of a diverse and large panel of patient and public contributors to ensure the development and evaluation of this novel data system is patient and public centred.
Anticipated Impact: We anticipate that the generation of this novel data system will improve the health of pregnant mothers and their babies by significantly advancing our understanding of the effects of medications taken during pregnancy, improving clinical and patient-centred decision making and driving future research in this field.
Barts Health Nhs Trust; Oxford Health Nhs Foundation Trust
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