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Validation of anaemia, haemorrhage and blood disorder reporting in hospital data in New South Wales, Australia.

Heather J BaldwinTanya A NippitaSiranda TorvaldsenTherese M McGeeKristen RickardJillian A Patterson
Published in: BMC research notes (2021)
There were 36,051 births between 2011 and 2015 included in the analysis. Anaemia and blood disorders were poorly reported in the hospital data, with sensitivity ranging from 2.5% to 24.8% (positive predictive value (PPV) 12.0-82.6%). Reporting of postpartum haemorrhage, transfusion and hysterectomy showed high sensitivity (82.8-96.0%, PPV 78.0-89.6%) while moderate consistency with the obstetric data was observed for other types of obstetric haemorrhage (sensitivity: 41.9-65.1%, PPV: 50.0-56.8%) and placental complications (sensitivity: 68.2-81.3%, PPV: 20.3-72.3%). Our findings suggest that hospital data may be a reliable source of information on postpartum haemorrhage, transfusion and hysterectomy. However, they highlight the need for caution for studies of anaemia and blood disorders, given high rates of uncoded and 'false' cases, and suggest that other sources of data should be sought where possible.
Keyphrases
  • electronic health record
  • big data
  • adverse drug
  • healthcare
  • pregnant women
  • cardiac surgery
  • emergency department
  • machine learning
  • drinking water
  • high intensity
  • sickle cell disease