4.0 Article

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

Journal

BMC RESEARCH NOTES
Volume 14, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1186/s13104-021-05584-x

Keywords

Validity; Anaemia; Haemorrhage; Blood disorders; Platelet disorders; Coagulation disorders; Transfusion; Hysterectomy

Funding

  1. Sydney Medical School Kick Start Grant Program
  2. Prevention Research Support Program - New South Wales Ministry of Health

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The study found that hospital data may be reliable for information on postpartum hemorrhage, transfusion, and hysterectomy, but caution is needed for studies of anemia and blood disorders due to high rates of uncoded and false cases.
Objective Hospital data are a useful resource for studying pregnancy complications, including bleeding-related conditions, however, the reliability of these data is unclear. This study aims to examine reliability of reporting of bleeding-related conditions, including anaemia, obstetric haemorrhage and blood disorders, and procedures, such as blood transfusion and hysterectomy, in coded hospital records compared with obstetric data from two large tertiary hospitals in New South Wales. Results 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.

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