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The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease.
INTRODUCTION: The Baby Hearts study aimed to investigate risk and protective factors for congenital heart disease (CHD), and to investigate the health behaviours of a representative sample of pregnant women in Northern Ireland. OBJECTIVES: We describe and evaluate the population-based case-control d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479919/ https://www.ncbi.nlm.nih.gov/pubmed/32935022 http://dx.doi.org/10.23889/ijpds.v4i1.582 |
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author | McCullough, N Dolk, H Loane, M Lagan, BM Casey, F Craig, B |
author_facet | McCullough, N Dolk, H Loane, M Lagan, BM Casey, F Craig, B |
author_sort | McCullough, N |
collection | PubMed |
description | INTRODUCTION: The Baby Hearts study aimed to investigate risk and protective factors for congenital heart disease (CHD), and to investigate the health behaviours of a representative sample of pregnant women in Northern Ireland. OBJECTIVES: We describe and evaluate the population-based case-control design enhanced with data linkage to administrative health data. METHODS: Cases (mothers of babies with CHD, n=286) were recruited following diagnosis prenatally or postnatally. Controls (mothers of babies without CHD, n=966) were recruited at 18-22 weeks gestation, from all women attending each maternity unit during a designated month. Hybrid data collection methods were used, including a self-administered iPad/postal questionnaire, and linkage to maternity and prescription records. RESULTS: Refusal rates were low (8%). iPad questionnaire completion at clinic or home visit had high acceptability whereas postal questionnaires were poorly returned leading to a further 9-10% loss of eligible cases/controls. In total, 61% of eligible cases and 68% of eligible controls were recruited, closely representative of the Northern Ireland population, with no evidence of selection bias. Of those recruited, 97% gave consent for linkage to medical records. Thirty-three percent of women had an unplanned pregnancy and 76% suspected they were pregnant by 5 weeks gestation, with no significant differences between cases and controls. There was considerable discordance between self-report, maternity and prescription records regarding medications obtained/taken in the first trimester, but no evidence of differences between cases and controls that would indicate substantial recall bias. Although there was high concordance between self-report and maternity records regarding folic acid supplementation, cases had significantly lower concordance than controls. CONCLUSIONS: Our results suggest hybrid data collection approaches are a useful way forward for aetiological studies to reduce responder burden and address and estimate recall bias, and that the Baby Hearts study protocol is suitable for replication in other populations, modified to the local context. |
format | Online Article Text |
id | pubmed-7479919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-74799192020-09-14 The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. McCullough, N Dolk, H Loane, M Lagan, BM Casey, F Craig, B Int J Popul Data Sci Population Data Science INTRODUCTION: The Baby Hearts study aimed to investigate risk and protective factors for congenital heart disease (CHD), and to investigate the health behaviours of a representative sample of pregnant women in Northern Ireland. OBJECTIVES: We describe and evaluate the population-based case-control design enhanced with data linkage to administrative health data. METHODS: Cases (mothers of babies with CHD, n=286) were recruited following diagnosis prenatally or postnatally. Controls (mothers of babies without CHD, n=966) were recruited at 18-22 weeks gestation, from all women attending each maternity unit during a designated month. Hybrid data collection methods were used, including a self-administered iPad/postal questionnaire, and linkage to maternity and prescription records. RESULTS: Refusal rates were low (8%). iPad questionnaire completion at clinic or home visit had high acceptability whereas postal questionnaires were poorly returned leading to a further 9-10% loss of eligible cases/controls. In total, 61% of eligible cases and 68% of eligible controls were recruited, closely representative of the Northern Ireland population, with no evidence of selection bias. Of those recruited, 97% gave consent for linkage to medical records. Thirty-three percent of women had an unplanned pregnancy and 76% suspected they were pregnant by 5 weeks gestation, with no significant differences between cases and controls. There was considerable discordance between self-report, maternity and prescription records regarding medications obtained/taken in the first trimester, but no evidence of differences between cases and controls that would indicate substantial recall bias. Although there was high concordance between self-report and maternity records regarding folic acid supplementation, cases had significantly lower concordance than controls. CONCLUSIONS: Our results suggest hybrid data collection approaches are a useful way forward for aetiological studies to reduce responder burden and address and estimate recall bias, and that the Baby Hearts study protocol is suitable for replication in other populations, modified to the local context. Swansea University 2019-04-08 /pmc/articles/PMC7479919/ /pubmed/32935022 http://dx.doi.org/10.23889/ijpds.v4i1.582 Text en https://creativecommons.org/licences/by/4.0/ This work is licenced under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Population Data Science McCullough, N Dolk, H Loane, M Lagan, BM Casey, F Craig, B The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title | The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title_full | The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title_fullStr | The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title_full_unstemmed | The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title_short | The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
title_sort | baby hearts study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease. |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479919/ https://www.ncbi.nlm.nih.gov/pubmed/32935022 http://dx.doi.org/10.23889/ijpds.v4i1.582 |
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