Preconception indicators and associations with health outcomes reported in UK routine primary care data: a systematic review
Preconception indicators and associations with health outcomes reported in UK routine primary care data: a systematic review
Background: routine primary care data may be a valuable resource for preconception health research and informing provision of preconception care.
Aim: to review how primary care data could provide information on the prevalence of preconception indicators and examine associations with maternal and offspring health outcomes.
Design and setting: systematic review of observational studies using UK routine primary care data.
Method: literature searches were conducted in five databases (March 2023) to identify observational studies that used national primary care data from individuals aged 15-49 years. Preconception indicators were defined as medical, behavioural and social factors that may impact future pregnancies. Health outcomes included those that may occur during and after pregnancy. Screening, data extraction and quality assessment were conducted by two reviewers.
Results: from 5,259 records screened, 42 articles were included. The prevalence of 30 preconception indicators was described for female patients, ranging from 0.01% for sickle cell disease to >20% for each of advanced maternal age, previous caesarean section (among those with a recorded pregnancy), overweight, obesity, smoking, depression and anxiety (irrespective of pregnancy). Few studies reported indicators for male patients (n=3) or associations with outcomes (n=5). Most studies had low risk of bias, but missing data may limit generalisability.
Conclusion: findings demonstrate that routinely collected UK primary care data can be used to identify patients’ preconception care needs. Linking primary care data with health outcomes collected in other datasets is underutilised but could help quantify how optimising preconception health and care can reduce adverse outcomes for mothers and children.
Schoenaker, Danielle
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Lovegrove, Elizabeth M.
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Cassinelli, Emma H.
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Hall, Jennifer
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McGranahan, Majel
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McGowan, Laura
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Carr, Helen
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Alwan, Nisreen A.
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Stephenson, Judith
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Godfrey, Keith M.
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Schoenaker, Danielle
84b96b87-4070-45a5-9777-5a1e4e45e818
Lovegrove, Elizabeth M.
d7b61630-099a-4faf-94a8-10506cc9887c
Cassinelli, Emma H.
28f6040e-105a-41d6-b843-f9076cb8b991
Hall, Jennifer
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McGranahan, Majel
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McGowan, Laura
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Carr, Helen
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Alwan, Nisreen A.
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Stephenson, Judith
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Godfrey, Keith M.
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Schoenaker, Danielle, Lovegrove, Elizabeth M., Cassinelli, Emma H., Hall, Jennifer, McGranahan, Majel, McGowan, Laura, Carr, Helen, Alwan, Nisreen A., Stephenson, Judith and Godfrey, Keith M.
(2024)
Preconception indicators and associations with health outcomes reported in UK routine primary care data: a systematic review.
British Journal of General Practice.
(In Press)
Abstract
Background: routine primary care data may be a valuable resource for preconception health research and informing provision of preconception care.
Aim: to review how primary care data could provide information on the prevalence of preconception indicators and examine associations with maternal and offspring health outcomes.
Design and setting: systematic review of observational studies using UK routine primary care data.
Method: literature searches were conducted in five databases (March 2023) to identify observational studies that used national primary care data from individuals aged 15-49 years. Preconception indicators were defined as medical, behavioural and social factors that may impact future pregnancies. Health outcomes included those that may occur during and after pregnancy. Screening, data extraction and quality assessment were conducted by two reviewers.
Results: from 5,259 records screened, 42 articles were included. The prevalence of 30 preconception indicators was described for female patients, ranging from 0.01% for sickle cell disease to >20% for each of advanced maternal age, previous caesarean section (among those with a recorded pregnancy), overweight, obesity, smoking, depression and anxiety (irrespective of pregnancy). Few studies reported indicators for male patients (n=3) or associations with outcomes (n=5). Most studies had low risk of bias, but missing data may limit generalisability.
Conclusion: findings demonstrate that routinely collected UK primary care data can be used to identify patients’ preconception care needs. Linking primary care data with health outcomes collected in other datasets is underutilised but could help quantify how optimising preconception health and care can reduce adverse outcomes for mothers and children.
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2024.02.05.24302342v1.full
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Accepted/In Press date: 26 June 2024
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For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
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Local EPrints ID: 487218
URI: http://eprints.soton.ac.uk/id/eprint/487218
ISSN: 0960-1643
PURE UUID: 09c07b14-91f3-4dd4-85ed-9db7a70ff055
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Date deposited: 16 Feb 2024 11:22
Last modified: 13 Aug 2024 04:01
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Contributors
Author:
Emma H. Cassinelli
Author:
Jennifer Hall
Author:
Majel McGranahan
Author:
Laura McGowan
Author:
Helen Carr
Author:
Judith Stephenson
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