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Title: | Perinatal depression: The use of the Edinburgh Postnatal Depression Scale to derive clinical subtypes |
Authors: | Galbally, M.;Watson, S. J.;Boyce, Philip M.;Howard, L.;Herrman, H. |
WSLHD Author: | Boyce, Philip M. |
Subjects: | Mental Health;Midwifery |
Issue Date: | 2024 |
Citation: | The Australian and New Zealand Journal of Psychiatry 58(1):37-48, 2024 |
Abstract: | BACKGROUND: Predicting the course and complications of perinatal depression through the identification of clinical subtypes has been previously undertaken using the Edinburgh Postnatal Depression Scale and has the potential to improve the precision of care and improve outcomes for women and their children. METHODS: Edinburgh Postnatal Depression Scale scores were collected twice in pregnancy and twice in the postpartum in a sample of 360 women who met diagnostic criteria for perinatal depression using the Structured Clinical Interview for DSM disorder. These data were used to compare with previous, though conflicting, evidence from cross-sectional studies and extend this by undertaking longitudinal measurement invariance modelling to test the structural validity across the perinatal period. Latent profile and transition modelling was used to identify distinct subtypes of women and assess the utility of these subtypes and transition profiles to predict clinically meaningful outcomes. RESULTS: Although our data supported one of the previously reported three-factor Edinburgh Postnatal Depression Scale structures used to compute subfactor totals for depressed mood, anxiety and anhedonia at both early pregnancy and 6 months postpartum, there was little value in using these Edinburgh Postnatal Depression Scale subfactor scores to identify subtypes predictive of clinically meaningful postpartum symptom subtypes, or of general health, pregnancy and neonatal outcomes. CONCLUSION: Our study does not support the use of the Edinburgh Postnatal Depression Scale to distinguish perinatal depressive subtypes for the purposes of predicting course and complications associated with perinatal depression. However, the results give guidance on alternative ways to study the value of personalised management in improved outcomes for women living with or at risk for perinatal depression. |
URI: | https://wslhd.intersearch.com.au/wslhdjspui/handle/1/9487 |
DOI: | https://dx.doi.org/10.1177/00048674231193640 |
Journal: | The Australian and New Zealand Journal of Psychiatry |
Type: | Journal Article |
Study or Trial: | Controlled Study Cross-Sectional Study Major Clinical Study |
Department: | Mental Health |
Facility: | Westmead |
Affiliated Organisations: | School of Clinical Sciences, Department of Psychiatry, Monash University, Clayton, VIC, Australia Health Futures Institute, Murdoch University, Murdoch, WA, Australia Specialty of Psychiatry, Faculty of Medicine and Health and The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia Health Service & Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King?s College London, London, UK Orygen Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia |
Keywords: | Pregnancy Depression, Postpartum Mass Screening Psychiatric Status Rating Scales Pregnancy Complications |
Appears in Collections: | Westmead Hospital 2019 - 2024 |
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