Institutional and systemic barriers and facilitators affecting healthcare access for Black women in Alberta
Bibliographic record
Abstract
Canada's Black population has experienced significant growth in recent years, with substantial increases noted in the prairie provinces. As Black people continue to make up a growing proportion of the population, it is important to understand their experiences in accessing healthcare services, especially for those who are multiply marginalized. We undertook a qualitative study to examine the healthcare access experiences of Black women in Canada. We completed semi-structured interviews with a sample of 30 Black women from Alberta. Our study was guided by intersectionality to examine how Black women's experience of healthcare access is shaped by social processes related to their socio-demographic characteristics such as being Black, a woman, an immigrant or non-immigrant, and having high or low income. From our thematic analysis we identified three key factors that hinders healthcare access for Black women: socioeconomic barriers, health systems issues, and racism. We identified two types of facilitators: community and institutional facilitators and structural facilitators. Our findings elucidate how Black women's experiences of accessing and utilizing health services in Alberta are influenced by overlapping institutional, structural, and systemic factors.
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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 | 0.022 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".