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Record W2135244264 · doi:10.1080/01612840701581289

HEALTH CARE PROVIDERS' PERSPECTIVE OF THE GENDER INFLUENCES ON IMMIGRANT WOMEN'S MENTAL HEALTH CARE EXPERIENCES

2007· article· en· W2135244264 on OpenAlexaffabout
Joyce O’Mahony, TamPhD T. Donnelly

Bibliographic record

VenueIssues in Mental Health Nursing · 2007
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMental healthImmigrationHealth careMedicineQualitative researchSocioeconomic statusNursingPsychologyPsychiatryPopulationEnvironmental healthSociologyPolitical science

Abstract

fetched live from OpenAlex

The number of immigrants coming to Canada has increased in the last three decades. It is well documented that many immigrant women suffer from serious mental health problems such as depression, schizophrenia, and post migration stress disorders. Evidence has shown that immigrant women experience difficulties in accessing and using mental health services. Informed by the post-colonial feminist perspective, this qualitative exploratory study was conducted with seven health care providers who provide mental health services to immigrant women. In-depth interviews were used to obtain information about immigrant women's mental health care experiences. The primary goal was to explore how contextual factors intersect with race, gender, and class to influence the ways in which immigrant women seek help and to increase awareness and understanding of what would be helpful in meeting the mental health care needs of the immigrant women. The study's results reveal that (a) immigrant women face many difficulties accessing mental health care due to insufficient language skills, unfamiliarity/unawareness of services, and low socioeconomic status; (b) participants identified structural barriers and gender roles as barriers to accessing the available mental health services; (c) the health care relationship between health care providers and women had profound effects on whether or not immigrant women seek help for mental health problems.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.417
Teacher spread0.398 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations54
Published2007
Admission routes2
Has abstractyes

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