Stratifying Risk for Postpartum Depression at Time of Hospital Discharge
These findings demonstrate that a simple machine-learning model can be used to stratify the risk for PPD before delivery hospitalization discharge. This tool could help identify patients within a practice at the highest risk and facilitate individualized postpartum care planning for the prevention of, screening for, and management of PPD at the start of the postpartum period and potentially the onset of symptoms.
Authors
- Andrea G. Edlow (ORCID: https://orcid.org/0000-0003-2915-5949)
- Thomas H. McCoy (ORCID: https://orcid.org/0000-0002-5624-0439)
- Lydia L. Shook (ORCID: https://orcid.org/0000-0002-5859-8610)
- Víctor M. Castro (ORCID: https://orcid.org/0000-0001-7390-6354)
- Roy H. Perlis (ORCID: https://orcid.org/0000-0002-5862-6757)
- Mark A. Clapp (ORCID: https://orcid.org/0000-0001-5568-4444)
- Pilar Verhaak
Institutions
- Massachusetts General Hospital (US)
Publication Details
- Journal
- American Journal of Psychiatry
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1176/appi.ajp.20240381
- Citations
- 7
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 13.15