Perceived Challenges and Unmet Primary Care Access Needs among Bangladeshi Immigrant Women in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Understanding barriers in primary health care access faced by Canadian immigrants, especially among women, is important for developing mitigation strategies. The aim of this study was to gain an in-depth understanding of perceived challenges and unmet primary health care access needs of Bangladeshi immigrant women in Canada. METHODS: In this qualitative study, we conducted 7 focus groups among a sample of 42 first-generation immigrant women on their experiences in primary health care access in their preferred language, Bangla. Descriptive analysis was used for their socio-demographic characteristics and inductive thematic analysis was applied to the qualitative data. RESULTS: The hurdles reported included long wait time at emergency service points, frustration from slow treatment process, economic losses resulting from absence at work, communication gap between physicians and immigrant patients, and transportation problem to go to the health care centers. No access to medical records for walk-in doctors, lack of urgent care, and lack of knowledge about Canadian health care systems are a few of other barriers emerged from the focus group discussions. CONCLUSIONS: The community perception about lack of primary health care resources is quite prevalent and is considered as one of the most important barriers by the grassroots community members.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it