Evidence map›Paper›PMID 32935022›Full record

ArticleInternational journal of population data science2019

The Baby Hearts Study - a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease.

N McCullough, H Dolk, M Loane, B M Lagan, F Casey, B Craig

Abstract read
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Article in International journal of population data science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

N McCulloughInstitute of Nursing and Health Research, Ulster University, Newtownabbey, UK.
H DolkInstitute of Nursing and Health Research, Ulster University, Newtownabbey, UK.
M LoaneInstitute of Nursing and Health Research, Ulster University, Newtownabbey, UK.
B M LaganInstitute of Nursing and Health Research, Ulster University, Newtownabbey, UK.
F CaseyPaediatric Cardiology Department, Royal Belfast Hospital for Sick Children, Belfast, UK.
B CraigPaediatric Cardiology Department, Royal Belfast Hospital for Sick Children, Belfast, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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.

objectivesWe describe and evaluate the population-based case-control design enhanced with data linkage to administrative health data.

methodsCases (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.

resultsRefusal 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.

conclusionsOur 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.

Identifiers

PMID32935022
PMCPMC7479919

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