Environmental Scan of the WCHC Model in Canadian HIV Clinics
Bibliographic record
Abstract
Objective: In Canada, women comprise approximately 25% of people living with HIV. The Women-Centred HIV Care (WCHC) Model aims to address women’s unique, multifaceted care needs, but its delivery remains unclear. This study aims to assess the delivery of the WCHC Model in Canadian HIV clinics, comparing variation across regions. Design: This is an environmental scan where HIV clinics completed a survey about healthcare service provision. Using a service-based scoring system, clinics were scored out of 10 in the six domains and five sub-domains of the WCHC Model. Generally, on-site service delivery was assigned more value than off-site referrals. Offering ≥50% of domain services was classified as satisfactory domain delivery. Participants: Canadian HIV clinics participated in this study. Eligible clinics were identified from online directories and word-of-mouth. Of 59 clinics contacted, 35 (59%) were surveyed, representing all national regions except Alberta, Northwest Territories, and Nunavut. Results: The highest scoring domains were HIV care (median [interquartile range] 9.3 [8.6–9.9]) and sexual health care (9.0 [7.0–10.0]), while the peer support/leadership/capacity-building domain scored low (2.1 [0.0–5.3]). Scores varied between regions in trauma- and violence-aware care (7.5 [1.3–10.0]), person-centred care (6.7 [5.0–10.0]), women’s healthcare (7.5 [6.3–8.8]), and mental health and addiction care (6.7 [5.0–8.3]). On-site mental health and addiction services were largely unavailable. 75% of clinics (26/35) deliver ≥50% of services in 4-6 domains, with 20% (7/35) doing so in all 6 domains. Conclusions: Delivery of the WCHC Model varies between regions and domains, with nationwide strengths seen in HIV and sexual health care. Increasing the availability of peer support/leadership/capacity-building opportunities and on-site mental health and addiction services at HIV clinics would enhance care for women living with HIV.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".