title: Validation of neural tube defects in the full featured--general practice research database.
abstract: BACKGROUND
  The General Practice Research Database (GPRD) has been used to identify associations between pregnancy medication exposures and birth defects, but experts have argued that databases such as this one cannot provide detailed information for the valid identification of complicated congenital anomalies. Our objective was to determine if the GPRD could be used to identify cases of neural tube defects (NTDs).
  
  
  METHODS
  First, we created algorithms for anencephaly, encephalocele, meningocele, and spina bifida and used them to identify potential cases. We used the algorithms to identify 217 potential NTD cases in either a child's or a mother's record. We validated cases by querying general practitioners (GPs) via questionnaire. Where cases of NTD were identified in the mother's record, in addition to confirming the diagnosis, we asked the GPs if the diagnosis was for the mother or that of her fetus or offspring.
  
  
  RESULTS
  Two hundred seventeen cases were identified, and 165 GP questionnaires were returned. We validated an NTD diagnosis for 117 cases, giving our algorithms a positive predictive value (PPV) of 0.71. The PPVs varied by NTD type: 0.81 for anencephaly, 0.83 for cephalocele, 0.64 for meningocele, and 0.47 for spina bifida.
  
  
  CONCLUSIONS
  Our identification algorithm was useful in identifying three of the four types of NTDs studied. Additional information is necessary to accurately identify cases of spina bifida.
authors.affiliation: University of NC School of Public Health, Chapel Hill, NC, USA. sdevine@unc.edu
authors.forename: Scott
authors.initials: S
authors.lastname: Devine
authors.forename: Suzanne L
authors.initials: SL
authors.lastname: West
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Andrews
authors.forename: Pat
authors.initials: P
authors.lastname: Tennis
authors.forename: Susan
authors.initials: S
authors.lastname: Eaton
authors.forename: John
authors.initials: J
authors.lastname: Thorp
authors.forename: Andrew
authors.initials: A
authors.lastname: Olshan
mesh_terms: D000014:Abnormalities, Drug-Induced / Q000453:epidemiology*; D000293:Adolescent; D000328:Adult; D000465:Algorithms; D000757:Anencephaly / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology; D016208:Databases, Factual / Q000592:standards* / Q000706:statistics & numerical data; D004677:Encephalocele / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D008588:Meningocele / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology; D009436:Neural Tube Defects / Q000175:diagnosis / Q000453:epidemiology* / Q000209:etiology; D010821:Physicians, Family; D011237:Predictive Value of Tests; D011247:Pregnancy; D016135:Spinal Dysraphism / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology; D011795:Surveys and Questionnaires