MIREDA (Mother and Infant Research Electronic Data Analysis) Partnership
MIREDA (Mother and Infant Research Electronic Data Analysis) Partnership
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 --
中文摘要
MIREDA伙伴关系旨在通过开发利用常规收集的数据进行研究的新资源和工具,改善孕产妇和婴儿健康,特别是弱势群体的母婴健康。它将通过汇集现有的英国研究方案的人员和数据集来实现这一目标,这些方案正在解决婴儿和孕产妇健康问题。贫穷、不利条件和相关的健康状况不佳往往始于生命的最初阶段。父母健康状况不佳和不良的健康行为,如吸毒和酗酒,影响婴儿在出生前后的发育,导致胎儿生长受限/出生时小、早产或比胎龄大。这些影响可能会持续一生,影响健康(脑和肺发育、听力/视力障碍)、教育成果和随后的生活机会。这意味着,解决社会不平等问题应从改善孕产妇和新生儿健康开始。然而,鉴于社会和经济挑战迅速出现和不断增加的背景,包括肥胖人数增加、生活成本不断上升、不平等现象以及包括许多移民和寻求庇护者在内的大部分社会群体面临贫困和剥夺,能够了解如何最好地保护子孙后代免受出生前不利环境造成的长期不利条件,包括与不断变化的社会挑战有关的不利条件,从未像现在这样重要。这一伙伴关系旨在促进这种理解,为基于证据的预防性干预提供信息。MIREDA将利用最近在健康数据研究方面的投资和发展,并为其增加价值。由于大数据的扩展,英国各地有许多母婴数据集,可以用于人口健康数据科学的协调、分析和比较。但是访问、治理、计算能力和所需的分析师技能都是严重的(但可以解决的)障碍。近年来,基础设施和专业知识发展迅速,需要安全地汇集各种数据以造福公众。对COVID-19危机的紧急应对加快了我们的能力,我们现在知道,有可能使全英国的研究人员能够访问和比较这四个国家的数据集。该伙伴关系将做什么:MIREDA将创建一个英国资源,包括统一的孕产妇和婴儿出生队列健康数据,与包括公共卫生、新生儿健康、成像、初级保健和医院在内的当地数据集相关联。它将建立一个多学科协作,提供工具和辅助专门知识,以便在不需要移动数据的情况下对每个队列进行分析。此外,它将开发跨数据集的数据标准化和通用数据管理方法,以确保可比较的分析,并实施自动化流行病学研究方法的软件,以方便获取可分析的数据集。它将与其他机构合作,在该领域建立研究能力和网络,利用在线和面对面的讲习班、研讨会、会议和研究发展小组会议,在英国内外分享知识和技能。最后,它将提供“引资”资金,以支持冉冉升起的明星研究人员和母婴保健方面的国际合作,并利用额外资金进行研究,以改善孕产妇保健和婴儿结局。为什么现在需要这种伙伴关系:在英国,我们在降低母婴死亡率方面非常成功,但这意味着更多的婴儿和母亲——主要来自弱势群体——患有慢性病。由于处境不利和贫困已成为日益紧迫的社会问题,因此,日益迫切需要减轻与之密切相关的母婴健康风险,从而改善后代的生命历程成果,并帮助打破贫穷的循环。
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.
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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
海外基金