title: Quality and variability of osteoporosis data in general practice computer records: implications for disease registers.
abstract: OBJECTIVE
  To determine the extent to which routinely collected general practitioner computer data could be used to create disease registers of patients with osteoporosis, and to report any improvement in data quality since previous studies.
  
  
  METHODS
  Audit using anonymized data extracted from general practice computer records from across England.
  
  
  METHODS
  Morbidity Query Information and Export Syntax (MIQUEST) software was used to extract structured data from the 78 volunteer practices that participated in the study. The data were aggregated and analysed.
  
  
  RESULTS
  There were 100-fold differences in the rates of recording of relevant data. Many patients receiving treatment had no diagnostic codes. Data about secondary causes of osteoporosis and fractures were more consistently recorded than data relating to falls. There were no data to indicate whether fractures were low impact. T-scores, the gold-standard measure of bone density, were very infrequently recorded.
  
  
  CONCLUSIONS
  Sufficient data about secondary causes of osteoporosis exist, and these could be searched to identify patients at risk. Meanwhile, fracture recoding could be improved, including likely fragility fractures, and T-scores could be added to computer records. A systematic approach is needed to raise the computer records to a standard where they can be used as valid and reliable disease registers.
authors.affiliation: Department of Community Health Sciences, St George's Hospital Medical School, London SW17 0RE, UK. slusigna@sghms.ac.uk
authors.forename: S
authors.initials: S
authors.lastname: de Lusignan
authors.forename: T
authors.initials: T
authors.lastname: Chan
authors.forename: O
authors.initials: O
authors.lastname: Wood
authors.forename: N
authors.initials: N
authors.lastname: Hague
authors.forename: T
authors.initials: T
authors.lastname: Valentin
authors.forename: J
authors.initials: J
authors.lastname: Van Vlymen
mesh_terms: D000058:Accidental Falls; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001851:Bone Diseases, Metabolic / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D004739:England / Q000453:epidemiology; D005194:Family Practice / Q000458:organization & administration*; D005260:Female; D050723:Fractures, Bone / Q000453:epidemiology / Q000209:etiology; D006801:Humans; D007223:Infant; D008297:Male; D008485:Medical Audit; D008490:Medical Informatics; D016347:Medical Records Systems, Computerized / Q000592:standards*; D008501:Medical Records, Problem-Oriented / Q000592:standards*; D008875:Middle Aged; D010024:Osteoporosis / Q000150:complications / Q000175:diagnosis* / Q000453:epidemiology*; D012042:Registries / Q000592:standards*; D012107:Research Design; D018570:Risk Assessment; D012307:Risk Factors