@inproceedings{85f647e4b80445cabb6f71d3eaa5682c,
title = "The Northern Ireland Baby Hearts Study: A Case-Control study using a hybrid data linkage method",
abstract = "BackgroundThe Northern Ireland (NI) Baby Hearts study aimed to investigate risk factors for congenital heart defects (CHD), and to investigate the health behaviours of a representative sample of NI pregnant women.MethodsWe performed a case-control study with hybrid data collection methods, including self-administered iPad questionnaire or postal questionnaire, information held in maternity records and linkage to prescription records. Cases (n=286) were recruited following diagnosis prenatally or postnatally, controls (n=966) were recruited during recruitment months in each maternity unit at 18-20 weeks gestation.FindingsRefusal rates for questionnaire completion were low (7-8%). Among those recruited, consent for access and linkage to medical records was high (98%). Recruitment of both cases and controls was closely representative of the NI population in terms of age, area of residence and deprivation. There was considerable discordance between self-report questionnaires, maternity records and prescription records regarding medications taken in the first trimester, and between self-report questionnaires and maternity records regarding behaviours such as preconceptional folic acid, pregnancy planning, and smoking. However, there were no differences between cases and controls that would indicate recall bias.ConclusionsOur results suggest that hybrid data collection approaches are a useful way forward for aetiological studies.",
author = "Nichola McCullough and Helen Dolk and Maria Loane and Lagan, {Briege M} and Frank Casey and Brian Craig",
year = "2018",
month = jun,
day = "14",
language = "English",
volume = "3",
series = "International Journal of Population Data Science",
publisher = "Swansea University",
editor = "Elliot, {Mark }",
booktitle = "International Conference for Administrative Data Research",
edition = "2",
note = "Conference Proceedings for International Conference for Administrative Data Research ; Conference date: 21-06-2018 Through 22-06-2018",
url = "https://ijpds.org/issue/view/8",
}