Perceived barriers and primary care access experiences among immigrant Bangladeshi men in Canada
Bibliographic record
Abstract
OBJECTIVE: The study aimed to explore the experience of male members of a rapidly grown community of Bangladeshi immigrants while accessing primary healthcare (PHC) services in Canada. DESIGN: A qualitative research was conducted among a sample of Bangladeshi immigrant men through a community-based participatory research approach. Focus group discussions were conducted to collect the qualitative data where thematic analysis was applied. SETTING: The focus group discussions were held in various community centres such as individual meeting rooms at public libraries, community halls and so on arranged in collaboration with community organisations while ensuring complete privacy. PARTICIPANT: Thirty-eight adults, Bangladeshi immigrant men, living in Calgary were selected for this study and participated in six different focus groups. The sample represents mostly married, educated, Muslim, Bangla speaking, aged over 25 years, full-time or self-employed and living in an urban centre in Canada >5 years. RESULT: The focus groups have highlighted long wait time as an important barrier. Long wait at the emergency room, difficulties to get access to general physicians when feeling sick, slow referral process and long wait at the clinic even after making an appointment impact their daily chores, work and access to care. Language is another important barrier that impedes effective communication between physicians and immigrant patients, thus the quality of care. Unfamiliarity with the healthcare system and lack of resources were also voiced that hinder access to healthcare for immigrant Bangladeshi men in Canada. However, no gender-specific barriers unique to men have been identified in this study. CONCLUSION: The barriers to accessing PHC services for Bangladeshi immigrant men are similar to that of other visible minority immigrants. It is important to recognise the extent of barriers across various immigrant groups to effectively shape public policy and improve access to PHC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".