ArticleGlobal health action2024
Awareness of postpartum depression among midwives and pregnant women in Arkhangelsk, Arctic Russia.
Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding care-seeking of pregnant women from underserved groups: a systematic review and meta-ethnography.Frontiers in public health · 2025Pooled it
- Experiences of a postpartum depression prevention programme in a circumpolar setting: insights from pregnant women and healthcare providers.International journal of circumpolar health · 2026Article
- Knowledge, Attitudes, and Management of Postpartum Depression Among Healthcare Professionals in Croatian Primary and Community Care: A Cross-Sectional Survey Study.International journal of environmental research and public health · 2026Article
- Enhancing public awareness: Insights from mothers and healthcare experts on postpartum depression - A qualitative study.Journal of education and health promotion · 2026Article
- Global Burden, Temporal Trends, and Long-Term Projections of Mental Disorders Among Women of Childbearing Age: A GBD 2021 Analysis Using BAPC Modeling.International journal of women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostpartum depression (PPD) affects approximately 17% of the women worldwide with nearly half of all cases going undetected. More research on maternal mental health, particularly among healthcare professionals and pregnant mothers, could help identify PPD risks and reduce its prevalence.
objectiveGiven that awareness of PPD is a crucial preventive factor, we studied PPD awareness among midwives and pregnant women in Arkhangelsk, Arctic Russia.
methodsA qualitative study was conducted using in-depth semi-structured interviews. Midwives and pregnant women were recruited from the women's clinic of the Arkhangelsk municipal polyclinic. Seven midwives and 12 pregnant mothers were interviewed.
resultsMidwives described limited time for psychological counselling of pregnant women; they reported that their primary focus was on the physiological well-being of women. Pregnant women have expressed a desire for their families to share responsibilities. The participants considered PPD as a mix of psychological and physiological symptoms, and they also highlighted a discrepancy between the expectations of pregnant women and the reality of motherhood. The present study underscored the limited understanding of PPD identification.
conclusionsThe findings suggest that there is a need for increased awareness among midwives and pregnant women regarding PPD. Prevention programs targeting PPD with a specific emphasis on enhancing maternal mental health knowledge are warranted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.