Jennifer Kurinczuk

Professor of Perinatal Epidemiology, Director National Perinatal Epidemiology Unit

University of Oxford
Country flagUnited Kingdom

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Professor Jennifer Kurinczuk is a Professor of Perinatal Epidemiology and the Director of the National Perinatal Epidemiology Unit at the University of Oxford, UK. Her research focuses on various aspects of perinatal health, including postpartum mental health, stillbirth rates, and healthcare utilization for babies born after assisted reproductive technologies. She has contributed extensively to the understanding of maternal and neonatal outcomes through studies examining issues such as fetal growth restriction and the long-term effects of birth methods.

Articles (9)

Year:

2025

Year:

2024

Year:

2023

Year:

2023

STUDY QUESTION Is the long-term health care utilization of children born after ART more costly to the healthcare system in England than children born to mothers with no fertility problems? SUMMARY ANSWER Children born after ART had significantly more general practitioner (GP) consultations and higher primary care costs up to 10 years after birth, and significantly higher hospital admission costs in the first year after birth, compared to children born to mothers with no fertility problems. WHAT IS KNOWN ALREADY There is evidence that children born after ART are at an increased risk of adverse birth outcomes and a small increased risk of rare adverse outcomes in childhood. STUDY DESIGN, SIZE, DURATION We conducted a longitudinal study of 368 088 mother and baby pairs in England using a bespoke linked dataset. Singleton babies born 1997–2018, and their mothers, who were registered at GP practices in England contributing data to the Clinical Practice Research Datalink (CPRD), were identified through the CPRD GOLD mother–baby dataset; this data was augmented with further linkage to the mothers’ Human Fertilisation and Embryology Authority (HFEA) Register data. Four groups of babies were identified through the mothers’ records: a ‘fertile’ comparison group, an ‘untreated sub-fertile’ group, an ‘ovulation induction’ group, and an ART group. Babies were followed-up from birth to 28 February 2021, unless censored due to loss to follow-up (e.g. leaving GP practice, emigration) or death. PARTICIPANTS/MATERIALS, SETTING, METHODS The CPRD collects anonymized coded patient electronic health records from a network of GPs in the UK. We estimated primary care costs and hospital admission costs for babies in the four fertility groups using the CPRD GOLD data and the linked Hospital Episode Statistics (HES) Admitted Patient Care (APC) data. Linear regression was used to compare the care costs in the different groups. Inverse probability weights were generated and applied to adjust for potential bias caused by attrition due to loss to follow-up. MAIN RESULTS AND THE ROLE OF CHANCE Children born to mothers with no fertility problems had significantly fewer consultations and lower primary care costs compared to the other groups throughout the 10-years’ follow up. Regarding hospital costs, children born after ART had significantly higher hospital admission costs in the first year after birth compared to those born to mothers with no fertility problems (difference = £307 (95% CI: 153, 477)). The same pattern was observed in children born after untreated subfertility and ovulation induction. LIMITATIONS, REASONS FOR CAUTION HFEA linkage uses non-donor data cycles only, and the introduction of consent for data use reduced the availability of HFEA records after 2009. The fertility groups were derived by augmenting HFEA data with evidence from primary care records; however, there remains some potential misclassification of exposure groups. The cost of neonatal critical care is not captured in the HES APC data, which may cause underestimation of the cost di

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (8)

Rachel Rowe

University of Oxford

UNITED KINGDOM
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Sally Collins

University of Oxford

UNITED KINGDOM
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Manisha Nair

University of Oxford

UNITED KINGDOM
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Oliver Rivero-Arias

University of Oxford

UNITED KINGDOM
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Stephen McCall

University of Aberdeen

UNITED KINGDOM
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Claire Carson

University of Oxford

UNITED KINGDOM
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Joris Hemelaar

-

UNITED KINGDOM
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Maria Quigley

Professor of Statistical Epidemiology

University of Oxford

UNITED KINGDOM
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