Journal article
Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study
- Abstract:
- Acknowledgements We would like to thank our patient and public involvement representatives for their input with this study; the academic clinicians in the THINKING group for creating the Read Code lists that are not available from the literature; Professor Helen Dolk (Ulster University) for her feedback on the manuscript and Krishna Margadhamane Gokhale and Alecsandru Vitoc (University of Birmingham) for data extraction. Funding This work was 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 in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. BT was funded by the National Institute for Health Research (NIHR) West Midlands Applied Research Collaboration. AA and SIL were funded as NIHR Academic Clinical Fellows. The views expressed are those of the author and not necessarily those of the funders, the NIHR or the UK Department of Health and Social Care. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. © 2022. The Author(s).Peer reviewedPublisher PD
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1186/s12884-022-04442-3
Authors
- Publisher:
- BioMed Central
- Journal:
- BMC Pregnancy and Childbirth More from this journal
- Volume:
- 22
- Issue:
- 1
- Pages:
- 120-120
- Article number:
- 120
- Publication date:
- 2022-02-11
- DOI:
- EISSN:
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1471-2393
- ISSN:
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1471-2393
- Language:
-
English
- Keywords:
- Pubs id:
-
1241035
- Local pid:
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pubs:1241035
- Source identifiers:
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W4211012893
- Deposit date:
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2026-04-09
- ARK identifier:
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- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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