What factors contribute to hospital variation in obstetric transfusion rates?

Vox Sang. 2015 Jan;108(1):37-45. doi: 10.1111/vox.12186. Epub 2014 Aug 4.

Abstract

Background and objectives: To explore variation in red blood cell transfusion rates between hospitals, and the extent to which this can be explained. A secondary objective was to assess whether hospital transfusion rates are associated with maternal morbidity.

Materials and methods: Linked hospital discharge and birth data were used to identify births (n = 279 145) in hospitals with at least 10 deliveries per annum between 2008 and 2010 in New South Wales, Australia. To investigate transfusion rates, a series of random-effects multilevel logistic regression models were fitted, progressively adjusting for maternal, obstetric and hospital factors. Correlations between hospital transfusion and maternal, neonatal morbidity and readmission rates were assessed.

Results: Overall, the transfusion rate was 1.4% (hospital range 0.6-2.9) across 89 hospitals. Adjusting for maternal casemix reduced the variation between hospitals by 26%. Adjustment for obstetric interventions further reduced variation by 8% and a further 39% after adjustment for hospital type (range 1.1-2.0%). At a hospital level, high transfusion rates were moderately correlated with maternal morbidity (0.59, P = 0.01), but not with low Apgar scores (0.39, P = 0.08), or readmission rates (0.18, P = 0.29).

Conclusion: Both casemix and practice differences contributed to the variation in transfusion rates between hospitals. The relationship between outcomes and transfusion rates was variable; however, low transfusion rates were not associated with worse outcomes.

Keywords: clinical practice variation; obstetric delivery; red blood cell trans-fusion.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Australia
  • Delivery, Obstetric
  • Female
  • Humans
  • Logistic Models
  • New South Wales
  • Obstetrics and Gynecology Department, Hospital / standards*
  • Platelet Transfusion / statistics & numerical data*
  • Practice Patterns, Physicians'*
  • Pregnancy
  • Risk Factors