Evidence map›Paper›PMID 38951005›Full record

ArticleBMJ open2024

Integrating evidence and causal mapping of help-seeking behaviour of migrant women with postpartum depression in Shanghai, China: a scoping review protocol.

Yin Jien Lee, Anita Taft, Rithika Kacham, Connie Wong, Yuyang Cai, Hong Li, Gary L Darmstadt

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yin Jien LeePediatrics-Neonatology, Stanford University, Stanford, California, USA carmenlee@stanford.edu.ORCID 0000-0002-8012-5684
Anita TaftSchool of Humanities and Sciences, Stanford University, Stanford, California, USA.
Rithika KachamSchool of Humanities and Sciences, Stanford University, Stanford, California, USA.
Connie WongLane Medical Library, Stanford University, Stanford, California, USA.
Yuyang CaiSchool of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hong LiInternational Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, China.
Gary L DarmstadtPediatrics-Neonatology, Stanford University, Palo Alto, California, USA.ORCID 0000-0002-7522-5824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe estimated prevalence of postpartum depression (PPD) worldwide, in China, and Shanghai is 17.2%, 18.0% and 23.2%, respectively. In 2021, Shanghai housed a population of 3.2 million childbearing-age migrant women, most of whom migrated to the city with their husbands for economic reasons. There is a general lack of help-seeking behaviour for mental disorders in China due to the perceived risk of social stigmatisation. In Shanghai, 70% of women did not seek professional help for perinatal mental health problems. We aim to gather information from multiple perspectives, such as the migrant women with PPD and perinatal depression (PND), their caregivers, health service providers and communities, to understand the help-seeking behaviour of postpartum migrant women with PPD or PND in China. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework for Scoping Reviews will guide this review. A bilingual research librarian developed a comprehensive search strategy to retrieve published and unpublished English and Chinese studies involving factors influencing women's PPD or PND help-seeking behaviour in China. This literature includes perceptions, views, patterns, acceptance and refusal, tendencies, probability, service accessibility and utilisation, and facts. We will search PubMed, Embase, Web of Science and CINAHL for English literature and CINKI for Chinese literature. Backward and forward snowball approaches will be used to identify additional relevant papers from the reference lists of selected papers. Two independent reviewers will screen the title and abstract and review the full text of selected papers to identify eligible articles for data extraction. We will build a Microsoft Access database to record the extracted data. The results will be presented in tables and a causal map to demonstrate the relationships between extracted variables and help-seeking behaviours for PPD and PND. A conceptual simulation model will be formulated based on the information from the literature to validate the logic of the relationships between variables, identify knowledge gaps and gain insights into potential intervention approaches. Experts and stakeholders will be invited to critique and comment on the results during group model building (GMB) workshops in Shanghai. These comments will be essential to validate the findings, receive feedback and obtain additional insights. ETHICS AND DISSEMINATION: The literature review component of our study does not require ethical approval because the information and data collected will be obtained from publicly available sources and will not involve human subjects. Our collaborating research partner, International Peach Maternal Child Hospital, obtained the IRB approval (GKLW-A-2023-020-01) for screening and enrolling participants in GMB workshops. Stanford University received IRB approval under protocol number 67 419. The full review will be presented at a relevant conference and submitted to a peer-reviewed scientific journal for publication to report findings.

Indexed as

Depression, PostpartumHelp-Seeking BehaviorTransients and MigrantsChinaFemaleHumansPatient Acceptance of Health CarePregnancyResearch DesignScoping Reviews as TopicBehaviorChinaDecision MakingLiteraturePostpartum WomenProtocols & guidelines

Identifiers

PMID38951005
PMCPMC11218007

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.