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Record W2278517039 · doi:10.14288/1.0076799

Vietnamese women living in Canada : contextual factors affecting Vietnamese women’s breast cancer and cervical cancer screening practices

2009· article· en· W2278517039 on OpenAlexaboutno aff
Tam Truong Donnelly

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseBreast cancerCervical cancerMedicineCancerGynecologyInternal medicine

Abstract

fetched live from OpenAlex

The aims of this qualitative research were to explore (a) how Vietnamese women participate in breast cancer and cervical screening, what leads Vietnamese women to seek health care, from whom they seek help, and the social support networks that they draw upon to foster their health care practices, (b) whether Vietnamese women find the current preventative cancer services suitable and accessible to them, (c) how Vietnamese women's breast cancer and cervical cancer screening practices are influenced by social, cultural, political, historical, and economic factors which are shaped by the conceptualisation of race, gender, and class, and (d) how differences between Vietnamese women's perspectives and those of health care providers influence women's health care experiences. By 2001, the estimated number of Vietnamese immigrants living in Canada was 151,410, approximately half of them women. Data from the U.S. and Australia show that breast cancer and cervical cancer are major contributors to cancer morbidity and mortality among Vietnamese women. Studies also suggest that Vietnamese women are at risk due to their low participation rate in these cancer preventative screening programs. Informed by Kleinman's explanatory model, postcolonialism, and feminism, in-depth interviews were conducted with 15 Vietnamese Canadian women and 6 health care providers. The study reveals the following major factors determining how Vietnamese women participate in breast cancer and cervical cancer screening programs: cultural conceptualisations of health and illness, social values and beliefs about the woman's body and social relationships; gendered roles and expectations; diminished social support networks; low socioeconomic status; and inaccessibility of health care services. At the theoretical level, I propose that health care professionals should (a) recognise that women of different ethno-cultural background are active participants in health care, (b) put less emphasis on western rationality and more on the recognisation that women's health care decision making is a dynamic process that varies under different circumstances, and (c) recognise that women's health care behaviour is influenced not only by their cultural knowledge and values, but also by their socially constructed position, race, gender, and class. At the practical level, I propose (a) that collaborative working relationships with physicians and improved physician-patient relationships are essential for successful promotional strategies for Vietnamese women, and (b) that a health education strategy must incorporate Vietnamese women's different ways of knowing. At the institutional level, increasing accessibility to these cancer preventive programs demands that health care policy makers increase institutional funding to support programs that provide services to immigrant women. Recommendations for future research include (a) a population-based survey to assess the current status of Vietnamese Canadian women's breast and cervical cancer screening practices, and to investigate the relationship between identified factors and Vietnamese women's cancer screening practices, (b) the development and implementation of a health promotion and disease prevention program that incorporates the findings of this study into its promotional strategies, and (c) an experimental study to evaluate the effectiveness of the newly developed promotional strategies on breast and cervical cancer screening among Vietnamese Canadian women.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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

Citations15
Published2009
Admission routes1
Has abstractyes

Explore more

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