Literature DB >> 20701407

Identifying major congenital malformations in the UK General Practice Research Database (GPRD): a study reporting on the sensitivity and added value of photocopied medical records and free text in the GPRD.

Rachel A Charlton1, John G Weil, Marianne C Cunnington, Corinne S de Vries.   

Abstract

BACKGROUND: Postmarketing teratogen surveillance is essential and requires a data source that can reliably capture a wide range of congenital malformations. The UK General Practice Research Database (GPRD) may have the potential to be used for this kind of surveillance.
OBJECTIVE: To assess the extent to which this database can be used to accurately identify major congenital malformations.
METHODS: This study was carried out as part of a broader study to compare data on anticonvulsant use and safety in pregnancy between the GPRD and a pregnancy registry. The study period ran from 1 January 1990 until 31 December 2006. Mother-baby pairs where the mother had a record of epilepsy, seizure or convulsion were identified using the GPRD computerized medical records. Infants of mother-baby pairs who had a record of a major congenital malformation were identified. Full photocopied paper medical records were requested from the infant's general practitioner and where this was not possible any data entries consisting of uncoded comments, so-called 'free text', in the electronic GPRD record were requested from the database provider. This additional information was then reviewed in order to determine the extent to which the congenital malformation diagnoses identified via the computerized records could be confirmed or rejected and then classified as being major or minor.
RESULTS: Within the study population of 3869 live mother-baby pairs, 188 potentially major congenital malformations were identified from the GPRD computerized record relating to 161 unique individuals. Using a combination of photocopied medical records and free text it was possible to verify 160 malformations (85.1%) as the malformation indicated by the computerized records; this ranged from 91.7% of those cases verified using photocopied medical records and 77.9% of cases verified using free text. Of the verified congenital malformations, using a combination of computerized data, photocopied medical records and free text, it was possible to classify 78.1% as being major and 15.0% as minor, and this percentage was found to be the same for those cases reviewed by photocopied records and those where free text was used. The proportions of malformations that could be verified and those that could be classified as major or minor were found to vary by malformation class.
CONCLUSIONS: The GPRD can be used to ascertain a wide range of congenital malformations. In many cases, when a malformation is identified in the GPRD via the computerized medical records, the malformation is likely to exist. However, in this study a small proportion of identified cases had to be excluded because they had been coded incorrectly or diagnostically ruled out. Therefore, depending on the congenital malformation of interest, verification of such malformations using photocopied medical records or free text is generally recommended.

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Year:  2010        PMID: 20701407     DOI: 10.2165/11536820-000000000-00000

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  7 in total

Review 1.  The general practice research database: role in pharmacovigilance.

Authors:  Louise Wood; Carlos Martinez
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

Review 2.  Data resources for investigating drug exposure during pregnancy and associated outcomes: the General Practice Research Database (GPRD) as an alternative to pregnancy registries.

Authors:  Rachel A Charlton; Marianne C Cunnington; Corinne S de Vries; John G Weil
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

3.  Validation of neural tube defects in the full featured--general practice research database.

Authors:  Scott Devine; Suzanne L West; Elizabeth Andrews; Pat Tennis; Susan Eaton; John Thorp; Andrew Olshan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-05       Impact factor: 2.890

4.  Bupropion in pregnancy and the prevalence of congenital malformations.

Authors:  J Alexander Cole; Jack G Modell; Barbara R Haight; Irene S Cosmatos; Joan M Stoler; Alexander M Walker
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-05       Impact factor: 2.890

5.  Paroxetine in the first trimester and the prevalence of congenital malformations.

Authors:  J Alexander Cole; Sara A Ephross; Irene S Cosmatos; Alexander M Walker
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-10       Impact factor: 2.890

6.  The utility of the general practice research database to examine selected congenital heart defects: a validation study.

Authors:  K E Wurst; S A Ephross; J Loehr; D W Clark; H A Guess
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-08       Impact factor: 2.890

7.  Positive predictive value of computerized records for major congenital malformations.

Authors:  William O Cooper; Sonia Hernandez-Diaz; Patricia Gideon; Shannon M Dyer; Kathleen Hall; Judith Dudley; Marisa Cevasco; Amanda B Thompson; Wayne A Ray
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-05       Impact factor: 2.890

  7 in total
  11 in total

1.  Pandemic influenza vaccination during pregnancy: an investigation of vaccine uptake during the 2009/10 pandemic vaccination campaign in Great Britain.

Authors:  Cormac J Sammon; Anita McGrogan; Julia Snowball; Corinne S de Vries
Journal:  Hum Vaccin Immunother       Date:  2013-01-30       Impact factor: 3.452

2.  Comparing the General Practice Research Database and the UK Epilepsy and Pregnancy Register as tools for postmarketing teratogen surveillance: anticonvulsants and the risk of major congenital malformations.

Authors:  Rachel A Charlton; John G Weil; Marianne C Cunnington; Sayantani Ray; Corinne S de Vries
Journal:  Drug Saf       Date:  2011-02-01       Impact factor: 5.606

3.  Using free text information to explore how and when GPs code a diagnosis of ovarian cancer: an observational study using primary care records of patients with ovarian cancer.

Authors:  A Rosemary Tate; Alexander G R Martin; Aishath Ali; Jackie A Cassell
Journal:  BMJ Open       Date:  2011-02-23       Impact factor: 2.692

4.  Antiepileptic drugs prescribed in pregnancy and prevalence of major congenital malformations: comparative prevalence studies.

Authors:  Irene Petersen; Shuk-Li Collings; Rachel L McCrea; Irwin Nazareth; David P Osborn; Phil J Cowen; Cormac J Sammon
Journal:  Clin Epidemiol       Date:  2017-02-16       Impact factor: 4.790

5.  Healthcare use for children with complex needs: using routine health data linked to a multiethnic, ongoing birth cohort.

Authors:  Chrissy Frances Bishop; Neil Small; Roger Parslow; Brian Kelly
Journal:  BMJ Open       Date:  2018-03-09       Impact factor: 2.692

6.  Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper.

Authors:  Kerina H Jones; Elizabeth M Ford; Nathan Lea; Lucy J Griffiths; Lamiece Hassan; Sharon Heys; Emma Squires; Goran Nenadic
Journal:  J Med Internet Res       Date:  2020-06-29       Impact factor: 5.428

7.  Evaluating the hazard of foetal death following H1N1 influenza vaccination; a population based cohort study in the UK GPRD.

Authors:  Cormac J Sammon; Julia Snowball; Anita McGrogan; Corinne S de Vries
Journal:  PLoS One       Date:  2012-12-10       Impact factor: 3.240

8.  Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis.

Authors:  Rachel Sokal; Laila J Tata; Kate M Fleming
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2014-02-12

9.  First trimester exposure to anxiolytic and hypnotic drugs and the risks of major congenital anomalies: a United Kingdom population-based cohort study.

Authors:  Lu Ban; Joe West; Jack E Gibson; Linda Fiaschi; Rachel Sokal; Pat Doyle; Richard Hubbard; Liam Smeeth; Laila J Tata
Journal:  PLoS One       Date:  2014-06-25       Impact factor: 3.240

10.  Improving case ascertainment of congenital anomalies: findings from a prospective birth cohort with detailed primary care record linkage.

Authors:  Chrissy Bishop; Neil Small; Dan Mason; Peter Corry; John Wright; Roger C Parslow; Alan H Bittles; Eamonn Sheridan
Journal:  BMJ Paediatr Open       Date:  2017-11-12
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