Access to Healthcare for Black Women in Alberta: An Interpersonal-Level Analysis of Barriers and Facilitators
Bibliographic record
Abstract
Alberta is home to one of Canada's fastest growing populations of Black people, driven by an influx of African immigrants to major metropolitan areas such as Edmonton and Calgary. As the Black population in Alberta continues to grow, it is crucial to the well-being of these communities that we understand their health service needs. Black women are a vulnerable group within the Black population due to inequities in social determinants of health such as access to healthcare. In Canada, little is known about the healthcare access experiences of Black women despite reported disparities in their health outcomes. As such, we undertook a qualitative study to examine access to health services for Black women in Alberta. Semi-structured interviews were completed with 30 Black women from Edmonton and Calgary. We applied intersectionality as an analytical framework to guide our understanding of how interconnected social processes shape Black women's experiences of accessing healthcare. Following our thematic analysis, we identified two major barriers to healthcare access: patient-provider discordance and negative healthcare encounters. We identified two key facilitators: positive patient-provider dynamics and individual and social network strengths. Our findings suggest that Black women have distinct experiences of accessing the healthcare system which are best understood as a confluence of their race, gender, and other aspects of their personhood.
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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 | 0.038 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".