Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy

Abstract Objective: Birth records and hospital admission records are valuable for research on maternal smoking, but individually are known to under‐estimate smokers. This study investigated the extent to which combining data from these records enhances the identification of pregnant smokers, and whe...

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Main Authors: Duong Thuy Tran, Christine L. Roberts, Alys Havard, Louisa R. Jorm
Format: Article
Language:English
Published: Elsevier 2014-06-01
Series:Australian and New Zealand Journal of Public Health
Subjects:
Online Access:https://doi.org/10.1111/1753-6405.12213
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author Duong Thuy Tran
Christine L. Roberts
Alys Havard
Louisa R. Jorm
author_facet Duong Thuy Tran
Christine L. Roberts
Alys Havard
Louisa R. Jorm
author_sort Duong Thuy Tran
collection DOAJ
description Abstract Objective: Birth records and hospital admission records are valuable for research on maternal smoking, but individually are known to under‐estimate smokers. This study investigated the extent to which combining data from these records enhances the identification of pregnant smokers, and whether this affects research findings such as estimates of maternal smoking prevalence and risk of adverse pregnancy outcomes associated with smoking. Methods: A total of 846,039 birth records in New South Wales, Australia, (2001–2010) were linked to hospital admission records (delivery and antenatal). Algorithm 1 combined data from birth and delivery admission records, whereas algorithm 2 combined data from birth record, delivery and antenatal admission records. Associations between smoking and placental abruption, preterm birth, stillbirth, and low birthweight were assessed using multivariable logistic regression. Results: Algorithm 1 identified 127,612 smokers (smoking prevalence 15.1%), which was a 9.6% and 54.6% increase over the unenhanced identification from birth records alone (prevalence 13.8%), and delivery admission records alone (prevalence 9.8%), respectively. Algorithm 2 identified a further 2,408 smokers from antenatal admission records. The enhancement varied by maternal socio‐demographic characteristics (age, marital status, country of birth, socioeconomic status); obstetric factors (multi‐fetal pregnancy, diabetes, hypertension); and maternity hospital. Enhanced and unenhanced identification methods yielded similar odds ratios for placental abruption, preterm birth, stillbirth and low birthweight. Conclusions: Use of linked data improved the identification of pregnant smokers. Studies relying on a single data source should adjust for the under‐ascertainment of smokers among certain obstetric populations.
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spelling doaj.art-a75a73b8762d4f52a382251212f16b6e2023-09-03T01:04:24ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052014-06-0138325826410.1111/1753-6405.12213Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancyDuong Thuy Tran0Christine L. Roberts1Alys Havard2Louisa R. Jorm3Centre for Health Research, University of Western Sydney, New South WalesClinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney, New South WalesCentre for Health Research, University of Western Sydney, New South WalesCentre for Health Research, University of Western Sydney, New South WalesAbstract Objective: Birth records and hospital admission records are valuable for research on maternal smoking, but individually are known to under‐estimate smokers. This study investigated the extent to which combining data from these records enhances the identification of pregnant smokers, and whether this affects research findings such as estimates of maternal smoking prevalence and risk of adverse pregnancy outcomes associated with smoking. Methods: A total of 846,039 birth records in New South Wales, Australia, (2001–2010) were linked to hospital admission records (delivery and antenatal). Algorithm 1 combined data from birth and delivery admission records, whereas algorithm 2 combined data from birth record, delivery and antenatal admission records. Associations between smoking and placental abruption, preterm birth, stillbirth, and low birthweight were assessed using multivariable logistic regression. Results: Algorithm 1 identified 127,612 smokers (smoking prevalence 15.1%), which was a 9.6% and 54.6% increase over the unenhanced identification from birth records alone (prevalence 13.8%), and delivery admission records alone (prevalence 9.8%), respectively. Algorithm 2 identified a further 2,408 smokers from antenatal admission records. The enhancement varied by maternal socio‐demographic characteristics (age, marital status, country of birth, socioeconomic status); obstetric factors (multi‐fetal pregnancy, diabetes, hypertension); and maternity hospital. Enhanced and unenhanced identification methods yielded similar odds ratios for placental abruption, preterm birth, stillbirth and low birthweight. Conclusions: Use of linked data improved the identification of pregnant smokers. Studies relying on a single data source should adjust for the under‐ascertainment of smokers among certain obstetric populations.https://doi.org/10.1111/1753-6405.12213health record linkagesmokingbirthperinatalhospital admission
spellingShingle Duong Thuy Tran
Christine L. Roberts
Alys Havard
Louisa R. Jorm
Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
Australian and New Zealand Journal of Public Health
health record linkage
smoking
birth
perinatal
hospital admission
title Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
title_full Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
title_fullStr Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
title_full_unstemmed Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
title_short Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
title_sort linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy
topic health record linkage
smoking
birth
perinatal
hospital admission
url https://doi.org/10.1111/1753-6405.12213
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AT alyshavard linkingbirthrecordstohospitaladmissionrecordsenhancestheidentificationofwomenwhosmokeduringpregnancy
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