BMJ Open (Feb 2023)

Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK

  • Christopher Yau,
  • ,
  • Catherine Nelson-Piercy,
  • Krishnarajah Nirantharakumar,
  • Richard D Riley,
  • Anuradhaa Subramanian,
  • Peter Brocklehurst,
  • Sinead Brophy,
  • Maria Loane,
  • Helen Dolk,
  • Shakila Thangaratinam,
  • Muhammad Usman,
  • Dermot O’Reilly,
  • Jingya Wang,
  • Colin McCowan,
  • Louise Locock,
  • Holly Hope,
  • Francesca Crowe,
  • Siang Ing Lee,
  • Rachel Plachcinski,
  • Utkarsh Agrawal,
  • Amaya Azcoaga-Lorenzo,
  • Gillian Santorelli,
  • Beck Taylor,
  • Mairead Black,
  • Adeniyi Francis Fagbamigbe,
  • Christine Damase-Michel,
  • Ngawai Moss,
  • Katherine Phillips,
  • Kelly-Ann Eastwood,
  • Astha Anand,
  • Jonathan Ian Kennedy,
  • Kathryn Mary Abel,
  • Lisa Kent,
  • Steven Wambua,
  • Sharon McCann,
  • Megha Singh,
  • Mohamed Mhereeg,
  • Neil Cockburn,
  • Sudasing Pathirannehelage Buddhika Hemali Sudasinghe,
  • Zoe Vowles,
  • Charles Gadd,
  • Stephanie Hanley,
  • Natalia Hong

DOI
https://doi.org/10.1136/bmjopen-2022-068718
Journal volume & issue
Vol. 13, no. 2

Abstract

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Introduction 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.