Abstract
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 NI population, and 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 records, 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. There was high concordance between self-report and maternity data regarding folic acid supplementation but maternity data was significantly less often confirmed by self-report for cases than controls.
Conclusions
Our results suggest that 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.
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 NI population, and 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 records, 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. There was high concordance between self-report and maternity data regarding folic acid supplementation but maternity data was significantly less often confirmed by self-report for cases than controls.
Conclusions
Our results suggest that 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-12 |
| Journal | International Journal of Population Data Science |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 21 Jan 2019 |
| Externally published | Yes |
| Event | Conference Proceedings for International Conference for Administrative Data Research - Northern Ireland, Belfast Duration: 21 Jun 2018 → 22 Jun 2018 https://ijpds.org/issue/view/8 |
Bibliographical note
Funding Information:We would like to thank all the women who participated in this study, along with the midwives, radiographers, nurses and administrative staff for their assistance in identifying and recruiting these women. We would also like to thank the external advisory committee. This study has been funded by Northern Ireland Chest Heart and Stroke, with additional support from Children's Heartbeat Trust.
Funding Information:
We would like to thank all the women who participated in this study, along with the midwives, radiographers, nurses and administrative staff for their assistance in identifying and recruiting these women. We would also like to thank the external advisory committee. This study has been funded by Northern Ireland Chest Heart and Stroke, with additional support from Children’s Heartbeat Trust.
Publisher Copyright:
2019 © The Authors. Open Access under CC BY 4.0
ASJC Scopus subject areas
- Demography
- Information Systems
- Health Informatics
- Information Systems and Management
Access to Document
- The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease.
Copyright 2019 The Authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.