Validation of the diagnosis of autism in general practitioner records. Fombonne, E., Heavey, L., Smeeth, L., Rodrigues, L. C., Cook, C., Smith, P. G., Meng, L., & Hall, A. J. BMC public health, 4:5, March, 2004.
doi  abstract   bibtex   
BACKGROUND: We report on the validity of the computerized diagnoses of autism in a large case-control study investigating the possible association between autism and the measles, mumps and rubella vaccine in the UK using the General Practitioner Research Database (GPRD). We examined anonymized copies of all relevant available clinical reports, including general practitioners' (GP) notes, consultant, speech therapy and educational psychologists reports, on 318 subjects born between 1973 and 1997 with a diagnosis of autism or a related disorder recorded in their electronic general practice record. METHODS: Data were abstracted to a case validation form allowing for the identification of developmental symptoms relevant to the diagnosis of pervasive developmental disorders (PDDs). Information on other background clinical and familial features was also abstracted. A subset of 50 notes was coded independently by 2 raters to derive reliability estimates for key clinical characteristics. RESULTS: For 294 subjects (92.5%) the diagnosis of PDD was confirmed after review of the records. Of these, 180 subjects (61.2%) fulfilled criteria for autistic disorder. The mean age at first recording of a PDD diagnosis in the GPRD database was 6.3 years (SD = 4.6). Consistent with previous estimates, the proportion of subjects experiencing regression in the course of their development was 19%. Inter-rater reliability for the presence of a PDD diagnosis was good (kappa =.73), and agreement on clinical features such as regression, age of parental recognition of first symptoms, language delay and presence of epilepsy was also good (kappas ranging from.56 to 1.0). CONCLUSIONS: This study provides evidence that the positive predictive value of a diagnosis of autism recorded in the GPRD is high.
@article{fombonne_validation_2004,
	title = {Validation of the diagnosis of autism in general practitioner records},
	volume = {4},
	issn = {1471-2458},
	doi = {10.1186/1471-2458-4-5},
	abstract = {BACKGROUND: We report on the validity of the computerized diagnoses of autism in a large case-control study investigating the possible association between autism and the measles, mumps and rubella vaccine in the UK using the General Practitioner Research Database (GPRD). We examined anonymized copies of all relevant available clinical reports, including general practitioners' (GP) notes, consultant, speech therapy and educational psychologists reports, on 318 subjects born between 1973 and 1997 with a diagnosis of autism or a related disorder recorded in their electronic general practice record.
METHODS: Data were abstracted to a case validation form allowing for the identification of developmental symptoms relevant to the diagnosis of pervasive developmental disorders (PDDs). Information on other background clinical and familial features was also abstracted. A subset of 50 notes was coded independently by 2 raters to derive reliability estimates for key clinical characteristics.
RESULTS: For 294 subjects (92.5\%) the diagnosis of PDD was confirmed after review of the records. Of these, 180 subjects (61.2\%) fulfilled criteria for autistic disorder. The mean age at first recording of a PDD diagnosis in the GPRD database was 6.3 years (SD = 4.6). Consistent with previous estimates, the proportion of subjects experiencing regression in the course of their development was 19\%. Inter-rater reliability for the presence of a PDD diagnosis was good (kappa =.73), and agreement on clinical features such as regression, age of parental recognition of first symptoms, language delay and presence of epilepsy was also good (kappas ranging from.56 to 1.0).
CONCLUSIONS: This study provides evidence that the positive predictive value of a diagnosis of autism recorded in the GPRD is high.},
	language = {eng},
	journal = {BMC public health},
	author = {Fombonne, Eric and Heavey, Lisa and Smeeth, Liam and Rodrigues, Laura C. and Cook, Claire and Smith, Peter G. and Meng, Linyan and Hall, Andrew J.},
	month = mar,
	year = {2004},
	pmid = {15113435},
	pmcid = {PMC394332},
	keywords = {Age of Onset, Algorithms, Autistic Disorder, Case-Control Studies, Child Development Disorders, Pervasive, Child, Preschool, Cohort Studies, Databases, Factual, Diagnosis, Differential, Diagnostic and Statistical Manual of Mental Disorders, Family Practice, Female, Great Britain, Humans, Infant, Infant, Newborn, Male, Medical Records Systems, Computerized, Probability, Public Health Informatics},
	pages = {5}
}

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