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dc.contributor.authorLee, Sian Ing
dc.contributor.authorHope, Holly
dc.contributor.authorO'Reilly, Dermot
dc.contributor.authorKent, Lisa
dc.contributor.authorSantorelli, Gillian
dc.contributor.authorSubramanian, Anuradhaa
dc.contributor.authorMoss, Ngawai
dc.contributor.authorAzcoaga-Lorenzo, Amaya
dc.contributor.authorFagbamigbe, Adeniyi
dc.contributor.authorNelson-Piercy, Catherine
dc.contributor.authorYau, Christopher
dc.contributor.authorMcCowan, Colin
dc.contributor.authorKennedy, Jonathan I
dc.contributor.authorPhillips, Katherine
dc.contributor.authorSingh, Megha
dc.contributor.authorMhereeg, Mohamed
dc.contributor.authorCockburn, Neil
dc.contributor.authorBrocklehurst, Peter
dc.contributor.authorPlachcinski, Rachel
dc.contributor.authorRiley, Richard
dc.contributor.authorThangaratinam, Shakila
dc.contributor.authorBrophy, Sinead
dc.contributor.authorSudasinghe, Sudasing Pathirannehelage Buddhika Hemali
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorVowles, Zoe
dc.contributor.authorAbel, Kathryn M
dc.contributor.authorNirantharakumar, Krishnarajah
dc.contributor.authorBlack, Mairead
dc.contributor.authorEastwood, Kelly-Ann
dc.contributor.authorMuM-PreDiCT Group
dc.date.accessioned2023-03-09T15:30:08Z
dc.date.available2023-03-09T15:30:08Z
dc.date.issued2023-02-24
dc.identifier283305591
dc.identifier6bf46f3e-9ae1-445d-a99c-dc0718ec22d2
dc.identifier85148964295
dc.identifier.citationLee , S I , Hope , H , O'Reilly , D , Kent , L , Santorelli , G , Subramanian , A , Moss , N , Azcoaga-Lorenzo , A , Fagbamigbe , A , Nelson-Piercy , C , Yau , C , McCowan , C , Kennedy , J I , Phillips , K , Singh , M , Mhereeg , M , Cockburn , N , Brocklehurst , P , Plachcinski , R , Riley , R , Thangaratinam , S , Brophy , S , Sudasinghe , S P B H , Agrawal , U , Vowles , Z , Abel , K M , Nirantharakumar , K , Black , M , Eastwood , K-A & MuM-PreDiCT Group 2023 , ' Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions : protocol for an observational study in the UK ' , BMJ Open , vol. 13 , no. 2 , e068718 . https://doi.org/10.1136/bmjopen-2022-068718en
dc.identifier.issn2044-6055
dc.identifier.othercrossref: 10.1136/bmjopen-2022-068718
dc.identifier.othercrossref: 10.1136/bmjopen-2022-068718
dc.identifier.otherORCID: /0000-0002-9466-833X/work/130659532
dc.identifier.otherORCID: /0000-0003-3307-878X/work/130660076
dc.identifier.urihttps://hdl.handle.net/10023/27147
dc.descriptionFunding: This work is funded by the Strategic Priority Fund 'Tackling multimorbidity at scale' programme (grant number MR/W014432/1) delivered by the Medical Research Council and the National Institute for Health Research (NIHR) in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council.en
dc.description.abstractIntroduction One in five pregnant women has multiple pre-existing long-term conditions in the UK. Studies have shown that maternal multiple long-term conditions are associated with adverse outcomes. This observational study aims to compare maternal and child outcomes for pregnant women with multiple long-term conditions to those without multiple long-term conditions (0 or 1 long-term conditions). Methods and analysis Pregnant women aged 15–49 years old with a conception date between 2000 and 2019 in the UK will be included with follow-up till 2019. The data source will be routine health records from all four UK nations (Clinical Practice Research Datalink (England), Secure Anonymised Information Linkage (Wales), Scotland routine health records and Northern Ireland Maternity System) and the Born in Bradford birth cohort. The exposure of two or more pre-existing, long-term physical or mental health conditions will be defined from a list of health conditions predetermined by women and clinicians. The association of maternal multiple long-term conditions with (a) antenatal, (b) peripartum, (c) postnatal and long-term and (d) mental health outcomes, for both women and their children will be examined. Outcomes of interest will be guided by a core outcome set. Comparisons will be made between pregnant women with and without multiple long-term conditions using modified Poisson and Cox regression. Generalised estimating equation will account for the clustering effect of women who had more than one pregnancy episode. Where appropriate, multiple imputation with chained equation will be used for missing data. Federated analysis will be conducted for each dataset and results will be pooled using random-effects meta-analyses. Ethics and dissemination Approval has been obtained from the respective data sources in each UK nation. Study findings will be submitted for publications in peer-reviewed journals and presented at key conferences.
dc.format.extent10
dc.format.extent1193686
dc.language.isoeng
dc.relation.ispartofBMJ Openen
dc.subjectMultimorbidityen
dc.subjectMultiple chronic conditionsen
dc.subjectMultiple long-term conditionsen
dc.subjectPregnancyen
dc.subjectMaternityen
dc.subjectObstetricen
dc.subjectOutcomeen
dc.subjectChildrenen
dc.subjectOffspringen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectRG Gynecology and obstetricsen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectMCCen
dc.subject.lccRA0421en
dc.subject.lccRGen
dc.titleMaternal and child outcomes for pregnant women with pre-existing multiple long-term conditions : protocol for an observational study in the UKen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.identifier.doi10.1136/bmjopen-2022-068718
dc.description.statusPeer revieweden


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