ArticleScientific reports2023
Perinatal depression and mental health uptake referral rate in an obstetric service.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Modeling cancer with bacteria-integrated tumor microenvironments using biomaterials: Emerging concepts and opportunities.Materials today. Bio · 2026Review
- Barriers and facilitators in identifying and addressing perinatal mood disorders: a healthcare provider perspective.Frontiers in global women's health · 2026Article
- Article
- Increases in benzodiazepine prescribing for postpartum anxiety during COVID-19.Archives of women's mental health · 2025Article
- Assessment of the factor structure of the EPDS in Chinese perinatal women: a longitudinal study using multigroup confirmatory factor analysis.Frontiers in psychology · 2025Article
- Integrating perinatal mental health into primary health care in Belize.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Perinatal depression is an important indicator of mothers' mental health. Studies have been carried out to identify and characterize women at risk of such affective disorder. The aim of this study is to assess mothers' adherence to our perinatal depression screening and eventual follow-up by a multidisciplinary team, including mental health and obstetrics professionals. Ultimately, a risk profile for the uptake rate of referral was described to psychological support. Pregnant women from a maternity of a tertiary center with on-site assessment and treatment (n = 2163) were included in this study. The identification of women at risk for depression was based on a two-question screening and the EPDS scale. Demographic and obstetric data were obtained from medical records. The number of screening evaluations, the uptake referral rate and the compliance to treatment were analyzed. Logistic regression was used to predict a risk profile for adherence. Among 2163 enrolled in the protocol, 10.2% screened positive for depression. Of these, 51.8% accepted referral for mental health assistance. 74.9% were compliant to Psychology appointments and 74.1% to Psychiatry appointments. Women who had a previous history of depression were more likely to accept referral for mental health support. With this study, we were able to understand the behaviour of this population towards the screening protocol we offer. Women with a previous history of depression are more likely to accept mental health assistance.
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