Screening for postnatal depression in routine primary care: properties of the Edinburgh Postnatal Depression Scale in an Australian sample

Aust N Z J Psychiatry. 2005 Sep;39(9):833-9. doi: 10.1080/j.1440-1614.2005.01660.x.

Abstract

Objectives: First, to explore the utility of the Edinburgh Postnatal Depression Scale (EPDS) in routine primary care through a large community screening program. Next, to compare administration of a second EPDS versus the Beck Depression Inventory (BDI) in identifying postnatal depression in the prescreened population.

Method: Screening with the EPDS through Maternal and Child Health Centres at 4 months post-partum. Women scoring > or = 12 were assessed against DSM-IV criteria and completed a BDI and a second EPDS. These data were subjected to receiver operating characteristic (ROC) analyses.

Results: Of 4148 screened, 533 (12.8%) scored > or = 12. Of these, 344 were assessed against DSM-IV criteria: 193 (56%) - major depressive disorder; 67 (20%) - other diagnoses that incorporated depression. Positive predictive value at screening was therefore 76%. Another 45 (13%) had non-depressive disorders and 39 (11%) were psychiatric non-cases. The BDI was the better diagnostic instrument in the prescreened population, having a significantly higher efficiency as quantified by ROC curve analysis, though the absolute difference in efficiency was small (approximately 6%).

Conclusions: Screening with the EPDS integrated well into routine primary care. Two-step screening offers one way of achieving acceptable balances of operational simplicity and diagnostic accuracy.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cross-Cultural Comparison*
  • Depression, Postpartum / diagnosis*
  • Depression, Postpartum / epidemiology
  • Depression, Postpartum / psychology
  • Diagnostic and Statistical Manual of Mental Disorders
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Mass Screening*
  • Personality Inventory / statistics & numerical data*
  • Primary Health Care
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Risk Factors
  • Victoria