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Record W2123608417 · doi:10.1186/2046-4053-2-65

Immigrant women’s experiences of postpartum depression in Canada: a protocol for systematic review using a narrative synthesis

2013· review· en· W2123608417 on OpenAlexafffundabout
Gina Higginbottom, Myfanwy Morgan, Joyce O’Mahony, Yvonne E. Chiu, Deb Kocay, Mirande Alexandre, Joan Forgeron, Marilyn Young

Bibliographic record

VenueSystematic Reviews · 2013
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsPublic Health Agency of CanadaHealth CanadaAlberta Health ServicesThompson Rivers UniversityUniversity of Alberta
FundersFaculty of Nursing, University of AlbertaCanadian Institutes of Health ResearchUniversity of Alberta
KeywordsGrey literatureMental healthMedicineChecklistSystematic reviewPostpartum depressionInclusion (mineral)Knowledge translationCritical appraisalNarrativeNursingMedical educationMEDLINEPsychiatryAlternative medicinePsychologyKnowledge managementSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Literature documents that immigrant women in Canada have a higher prevalence of postpartum depression symptomatology than Canadian-born women. There exists a need to synthesize information on the contextual factors and social determinants of health that influence immigrant women's reception of and behavior in accessing existing mental health services. Our research question is: what are the ethnoculturally defined patterns of help-seeking behaviors and decision-making and other predictive factors for therapeutic mental health care access and outcomes with respect to postpartum depression for immigrant women in Canada? METHODS/DESIGN: Our synthesis incorporates a systematic review using narrative synthesis of reports (peer- and non-peer reviewed) of empirical research and aims to provide stakeholders with perspectives on postpartum mental health care services as experienced by immigrant women. To reach this goal we are using integrated knowledge translation, thus partnering with key stakeholders throughout the planning, implementation and dissemination stages to ensure topic relevancy and impact on future practice and policy. The search and selection strategies draw upon established systematic review methodologies as outlined by the Centre for Reviews and Dissemination and also incorporate guidelines for selection and appraisal of gray literature. Two search phases (a database and a gray literature phase) will identify literature for screening and final selection based on an inclusion/exclusion checklist. Quality appraisal will be performed using the tools produced by the Centre for Evidence Based Management. The narrative synthesis will be informed by Popay et al. (2006) framework using identified tools for each of its four elements. The integrated knowledge translation plan will ensure key messages are delivered in an audience-specific manner to optimize their impact on policy and practice change throughout health service, public health, immigration and community sectors. DISCUSSION: The narrative synthesis methodology will facilitate understandings and acknowledgement of the broader influences of theoretical and contextual variables, such as race, gender, socio-economic status, pre-migration history and geographical location. Our review aims to have a substantive and sustainable impact on health outcomes, practice, programs and/or policy in the context of postpartum mental health of immigrant women. PROSPERO registration number CRD42012003020.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.124
metaresearch head score (Gemma)0.112
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.953
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1240.112
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0090.010
Bibliometrics0.0200.017
Science and technology studies0.0070.005
Scholarly communication0.0090.006
Open science0.0050.007
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0370.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.406
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2013
Admission routes3
Has abstractyes

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