Mapping HIV-related services for women in Eastern Canada: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Geographic health disparities have been well described in parts of Canada; however, little is known about the experiences of women living with HIV in the Maritime Provinces. This article focuses on the complex health system women living with HIV navigate geographically to access care in New Brunswick and Nova Scotia, Canada. METHOD: This study includes interviews with 10 women living with HIV and 39 community-based workers whose organizations provide services to this group of women in New Brunswick and Nova Scotia. Purposive sampling was used to recruit both women living with HIV and community workers. Interviews were recorded and transcribed into a Microsoft word document. Transcripts were imported into NVivo 11 for thematic analyses and used to map the services women with HIV were accessing in their communities in ArcGIS 10.2 for Windows. RESULTS: The study found that there are a number of barriers women with HIV face in the Maritime Provinces, including the low number of specialist physicians, long travel distances to major urban centers for care, and the loss of HIV-specific supports and resources. In response to these difficulties, community-based organizations are leading efforts in their communities to increase outreach programs and the number of available peer workers to improve the health outcomes of women living with HIV. Furthermore, it showed that women living with HIV and community workers were interested in creating a women-centered HIV care system in the Maritime Provinces, but were uncertain how to move forward with this initiative. CONCLUSION: There is a need for women-centered HIV services. This study proposes streamlining the healthcare pathway and decreasing obstacles to increase women's access to care in the Maritime Provinces.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".