A Population-Based Study Evaluating Family Physicians' HIV Experience and Care of People Living With HIV in Ontario
Bibliographic record
Abstract
PURPOSE: Greater physician experience managing human immunodeficiency virus (HIV) infection has been associated with better HIV-specific outcomes. The objective of this study was to evaluate whether the HIV experience of a family physician modifies the association between the model of care delivery and the quality of care for people living with HIV. METHODS: We retrospectively analyzed data from a population-based observational study conducted between April 1, 2009, and March 31, 2012. A total of 13,417 patients with HIV in Ontario were stratified into 5 possible patterns or models of care. We used multivariable hierarchical logistic regression analyses, adjusted for patient characteristics and pairwise comparisons, to evaluate the modification of the association between care model and indicators of quality of care (receipt of antiretroviral therapy, cancer screening, and health care use) by level of physician HIV experience (≤5, 6-49, ≥50 patients during study period). RESULTS: The majority of HIV-positive patients (52.8%) saw family physicians exclusively for their care. Among these patients, receipt of antiretroviral therapy was significantly lower for those receiving care from family physicians with 5 or fewer patients and 6-49 patients compared with those with 50 or more patients (mean levels of adherence [95% CIs] were 0.34 [0.30-0.39] and 0.40 [0.34-0.45], respectively, vs 0.77 [0.74-0.80]). Patients' receipt of cancer screenings and health care use were unrelated to family physician HIV experience. CONCLUSIONS: Family physician HIV experience was strongly associated with receipt of antiretroviral therapy by HIV-positive patients, especially among those seeing only family physicians for their care. Future work must determine the best models for integrating and delivering comprehensive HIV care among diverse populations and settings.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".