MétaCan
Menu
Back to cohort
Record W4388490751 · doi:10.1097/or9.0000000000000119

Mediators of psychosocial well-being for immigrant women living with breast cancer in Canada: a critical ethnography

2023· article· en· W4388490751 on OpenAlexaffabout
Melba Sheila D’Souza, Florriann Fehr, Michelle L. Smith

Bibliographic record

VenueJournal of Psychosocial Oncology Research and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsRoyal Inland HospitalInterior HealthUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaThompson Rivers University
Fundersnot available
KeywordsPsychosocialBreast cancerImmigrationDistressMedicineQuality of life (healthcare)Social supportHealth careGerontologyNursingCancerPsychologyClinical psychologyPsychiatryPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Abstract Background: Immigrant women living with breast cancer experience a lack of psychosocial and emotional support, which adds to the complexity of navigating and using health care services in Canada. Aim: To explore the mediators of psychosocial well-being for immigrant women living with breast cancer in Canada. Methods: A critical ethnography was used. The study identified 27 immigrants living with breast cancer, who had been born in a foreign country, migrated to Canada within the past 10 years, and lived in rural communities of British Columbia between August 2021 and March 2022. Institutional research ethics board approval and informed consent were obtained. Results: The findings indicated two significant themes: The immigrant women had limited knowledge, information, and communication and experienced physical, psychological, and emotional distress. Conclusion: There is a significant need for culturally responsive care services for immigrant women living with breast cancer in rural communities. Recommendations include the development of psychosocial oncology, such as integrated counseling and therapies, to reduce cancer-related post-traumatic stress and improve their psychosocial and emotional well-being. Interdisciplinary approaches to psychosocial oncology are particularly crucial for immigrants and rural communities, where women need access to cancer navigation and ongoing support for a better health-related quality of life.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.446
Teacher spread0.404 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Psychosocial Oncology Research and PracticeSame topicCancer survivorship and careFrench-language works237,207