Assessing the utility of the Healthy Start Screen to predict an elevated Edinburgh Postnatal Depression Scale score

J Perinat Med. 2020 Jun 25;48(5):483-487. doi: 10.1515/jpm-2019-0472.

Abstract

Objective To examine the utility of the Healthy Start Screen (HSS), which is an assessment of health, environment, and behavioral risk factors offered to all pregnant women in the state of Florida, in identifying women at risk for developing postpartum depression (PPD). Methods The sample for this Institutional Review Board (IRB)-approved, retrospective study consisted of patients who presented to a women's clinic for a new prenatal visit. Those patients who completed both the HSS at their prenatal visit and the Edinburgh Postnatal Depression Scale (EPDS) at their postpartum visit were included. We focused on items 1-10 of the HSS, where patients could respond with either "yes" or "no", and identified a positive EPDS as any score greater than or equal to 12. Results Women who identified as feeling down, depressed or hopeless, feeling alone when facing problems, to having ever received mental health services, or to having any trouble paying bills were more likely to have an EPDS score greater than or equal to 12. Conclusion The HSS, currently mandated by the state of Florida to be offered to all pregnant women, is a useful tool for identifying women at increased risk of developing PPD.

Keywords: Edinburgh Postnatal Depression Scale (EPDS); Healthy Start; maternal screening; perinatal depression; postpartum depression.

MeSH terms

  • Adult
  • Behavioral Risk Factor Surveillance System
  • Depression, Postpartum* / diagnosis
  • Depression, Postpartum* / epidemiology
  • Depression, Postpartum* / prevention & control
  • Depression, Postpartum* / psychology
  • Female
  • Florida / epidemiology
  • Humans
  • Mental Health / statistics & numerical data*
  • Pregnancy
  • Prenatal Care / methods*
  • Prognosis
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Public Health / methods
  • Risk Assessment / methods*
  • Social Determinants of Health / statistics & numerical data