MétaCan
Menu
Back to cohort
Record W4280503051 · doi:10.3390/sexes3020021

Factors Influencing Sexual Health Service Use by South Asian Immigrant Men Living in Ontario, Canada: A Qualitative Study

2022· article· en· W4280503051 on OpenAlexaffabout
Yamin Tauseef Jahangir, Elena Neiterman, Craig R. Janes, Samantha B. Meyer

Bibliographic record

VenueSexes · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsReproductive healthImmigrationThematic analysisQualitative researchGerontologyMedicineHealth carePsychologyEnvironmental healthPopulationGeographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Introduction: South Asian communities comprise one of the fastest-growing populations in Canada, but there is a paucity of research on if and how immigrant men use sexual health services. Objectives: Our study aimed to understand factors influencing sexual health service use by South Asian immigrant men living in Ontario, Canada. Methods: An interpretive description (ID) research methodology was used, followed by Braun and Clarke’s thematic guidelines to collect and analyze data. Altogether, 18 semi-structured interviews were conducted between May and July 2021 with South Asian immigrant men between 20 and 45 years of age in Ontario. Results: We found that culture shaped the overall perception and use of sexual health services, while the perceived severity of sexual illness also affected the utilization of preventative care. Moreover, there are taboos about sexual health, and while sex positivity and sex negativity exist, sexual health information is shared with trusted sources. We also found South Asian men shared sexual health more openly by following a lifestyle that normalizes sexual health discussions rather than South Asian cultural norms. Conclusions: This study provides a comprehensive understanding of the individual, structural and cultural determinants of health influencing sexual health service use to strengthen existing health communication strategies to improve service utilization for diverse communities in Canada.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

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

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 head0.061
GPT teacher head0.352
Teacher spread0.291 · 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 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

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueSexesSame topicHIV/AIDS Research and InterventionsFrench-language works237,207