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MIREDA (Mother and Infant Research Electronic Data Analysis) Partnership

MIREDA (Mother and Infant Research Electronic Data Analysis) Partnership
MIREDA(母婴研究电子数据分析)合作伙伴
批准号:
MR/X02055X/1
负责人:
Sinead Brophy
金额:
$157.58万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
The MIREDA partnership aims to improve maternal and infant health, particularly among disadvantaged groups, by developing new resources and tools for research that uses routinely collected data. It will do so by bringing together people and datasets from existing UK research programmes that are addressing infant and maternal health.Poverty, disadvantage and associated poor health frequently start at the earliest stages of life. Poor parental health and adverse health behaviours such as drug and alcohol use affect development of the baby before and after birth, resulting in foetal growth restriction/small-at-birth, preterm birth, or being large for gestational age. The implications of these can last a lifetime, affecting health (brain and lung development, hearing/sight impairment), educational outcomes and subsequent life chances. This means that addressing inequalities in society starts with improving maternal and neonatal health. However, given a backdrop of rapidly-emerging and growing societal and economic challenges that include rising obesity, escalating living costs, inequality and large sections of society - including many migrants and asylum seekers - facing poverty and deprivation, it has never been more important to be able to understand how best to protect future generations from the long-term disadvantages that arise from adverse exposures before birth, including those linked to changing societal challenges. This partnership aims to facilitate such understanding, to inform evidence-based preventative interventions.MIREDA will capitalise on and add value to recent investments and developments in health-data research. Due to the expansion of big data, there are many maternal and infant datasets around the UK that could be harmonised, analysed and compared for data science in population health. But access, governance, computational capacity and the analyst skills required are all serious (but addressable) barriers. Recent years have seen rapid developments in the infrastructure and expertise needed to safely bring together diverse data for public benefit. The urgent response to the COVID-19 crisis accelerated our capabilities, and we now know it is possible to enable researchers UK-wide to access and compare datasets across the four nations.What the partnership will do: MIREDA will create a UK resource including harmonised maternal and infant birth-cohort health data, linked to local datasets including those in public health, neonatal health, imaging, primary care and hospitals. It will establish a multidisciplinary collaboration to provide the tools and supporting expertise for undertaking analysis in each of the cohorts without need to move the data. In addition, it will develop methods for data standardisation and common data management across datasets to ensure comparable analysis,and implement software for automating epidemiological study methods for ease of obtaining analysable datasets. It will work with others to build research capacity and networks in the field, using online and face-to-face workshops, seminars, conferences, and research development group meetings to share knowledge and skills within the UK and beyond. Finally, it will provide 'pump-priming' funding to support rising-star researchers and international collaborations in maternal and infant health, and to leverage additional funds for research to improve maternal care and infant outcomes. Why this partnership is needed now: In the UK we have been very successful in reducing maternal and infant mortality, but this means more infants and mothers - predominantly from disadvantaged groups - living with chronic conditions. As disadvantage and deprivation become ever-more pressing societal issues, it is becoming increasingly urgent to mitigate the risks to maternal and infant health that are strongly associated with them, so as to improve life-course outcomes for successive generations and help break the cycle of poverty.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1186/s12879-023-08555-8
发表时间: 2023-09-11
期刊: BMC INFECTIOUS DISEASES
影响因子: 3.7
作者: [Mhereeg, Mohamed, Jones, Hope, Kennedy, Jonathan, Seaborne, Mike, Parker, Michael, Kennedy, Natasha, Akbari, Ashley, Zuccolo, Luisa, Azcoaga-Lorenzo, Amaya, Davies, Alisha, Nirantharakumar, Krishnarajah, Brophy, Sinead]
通讯作者: Brophy, Sinead
DOI: 10.1136/bmjpo-2023-001907
发表时间: 2023-07
期刊: BMJ paediatrics open
影响因子: 2.6
作者: []
通讯作者:
Cohort profile: Born in Wales-a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK.
队列概况:出生于威尔士 - 与孕产,父母和儿童数据联系的出生队列,用于英国威尔士的生命课程研究。
DOI: 10.1136/bmjopen-2023-076711
发表时间: 2024-01-18
期刊: BMJ OPEN
影响因子: 2.9
作者: [Jones, Hope, Seaborne, Mike J., Kennedy, Natasha L., James, Michaela, Dredge, Sam, Bandyopadhyay, Amrita, Battaglia, Adele, Davies, Sarah, Brophy, Sinead]
通讯作者: Brophy, Sinead
DOI: 10.1111/1471-0528.17508
发表时间: 2023-08
期刊: BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
影响因子: 5.8
作者: [Andreeva, Daria, Gill, Carolyn, Brockbank, Anna, Hejmej, Joanna, Conti-Ramsden, Fran J., Doores, Katie T., Seed, Paul, Poston, Lucilla]
通讯作者: Poston, Lucilla
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