Literature DB >> 33799034

Who do we miss when screening for postpartum depression? A population-based study in a Swedish region.

Emma Bränn1, Emma Fransson2, Anna Wikman3, Natasa Kollia4, Diem Nguyen3, Caroline Lilliecreutz5, Alkistis Skalkidou3.   

Abstract

BACKGROUND: Universal screening for postpartum depression is crucial for early detection, interventions and support. The aim of this study was to describe the proportion of, and explore risk factors for, women not being offered screening, as well as for declining an offer or not being screened due to any other unknown reason.
METHODS: Socioeconomic, obstetrical and neonatal data, extracted from the Swedish Pregnancy Registry, for 9,959 pregnancies recorded for the Östergötland county between 2016 and 2018 were linked to Edinburgh Postnatal Depression Scale (EPDS) screening results at 6-8 weeks postpartum, extracted from medical records. Risk factors were assessed using logistic regression models and with a nomogram for easy visualization.
RESULTS: In total, there were no recorded offers of EPDS screening in the medical records for 30.0% of women at the postpartum follow-up. Women born outside of Sweden and women reporting poor self-rated health were at increased risk of not being offered screening for postpartum depression. LIMITATIONS: There is a possibility that women were offered screening or were screened, but this was incorrectly or never recorded in medical records.
CONCLUSIONS: The majority of women were offered screening for postpartum depression, but there is room for improvement in order to achieve universal screening. Awareness among healthcare providers of the risk factors for not screening might increase adherence to guidelines for universal screening. Overcoming barriers for screening and raising the topic of mental-health issues for postpartum women should be prioritized.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Edinburgh postnatal depression scale; Postpartum depression; Screening tools

Mesh:

Year:  2021        PMID: 33799034     DOI: 10.1016/j.jad.2021.03.013

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  4 in total

1.  Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol.

Authors:  Alkistis Skalkidou; Fotios C Papadopoulos; Ayesha M Bilal; Emma Fransson; Emma Bränn; Allison Eriksson; Mengyu Zhong; Karin Gidén; Ulf Elofsson; Cathrine Axfors
Journal:  BMJ Open       Date:  2022-04-27       Impact factor: 3.006

2.  The association between postpartum hemorrhage and postpartum depression: A Swedish national register-based study.

Authors:  Can Liu; Alexander Butwick; Anna Sand; Anna-Karin Wikström; Jonathan M Snowden; Olof Stephansson
Journal:  PLoS One       Date:  2021-08-11       Impact factor: 3.240

3.  Is Validating the Cutoff Score on Perinatal Mental Health Mood Screening Instruments, for Women and Men from Different Cultures or Languages, Really Necessary?

Authors:  Stephen Matthey
Journal:  Int J Environ Res Public Health       Date:  2022-03-28       Impact factor: 3.390

4.  Disparities in postpartum depression screening participation between immigrant and Danish-born women.

Authors:  Maria Marti-Castaner; Camila Hvidtfeldt; Sarah Fredsted Villadsen; Bjarne Laursen; Trine Pagh Pedersen; Marie Norredam
Journal:  Eur J Public Health       Date:  2022-02-01       Impact factor: 4.424

  4 in total

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