Modernizing public health STI and HIV testing services in Ontario: The GetaKit Project
Bibliographic record
Abstract
In light of increasing rates of sexually transmitted and blood-borne infections (STBBIs) in Canada, as a group comprised primarily of frontline healthcare workers, we undertook a healthcare practice reform in Ontario to establish the first nurse-led asynchronous online STBBI testing platform, known as GetaKit.ca. The website offered clinically indicated testing for STBBIs based on public health guidelines and resources for preventative health services. Services operated in collaboration with public health units, who acted as local ordering providers for STBBI testing and facilitated linkage to care services for persons with positive test results or who required additional health follow-up. Results from the first 12 months of operating GetaKit.ca showed high uptake of this service, with 3,497 orders for STBBI testing from eligible persons, of whom 59% belonged to an equity denied group. A total of 83 new diagnoses (positivity rate of 2.4%) were identified in persons who completed testing via GetaKit.ca, all of whom were linked to treatment and care through their respective health units. We interpret these findings to suggest that our reform was able to expand access to persons with undiagnosed STBBIs. En tant que groupe composé principalement de travailleurs de santé de première ligne confronté à la persistance et à l'augmentation des taux d'infections transmises sexuellement et par le sang (ITSS) au Canada, nous avons entrepris une réforme des pratiques de soins de santé en Ontario afin d'établir la première plateforme asynchrone de dépistage des ITSS en ligne dirigée par des infirmières, connue sous le nom de GetaKit.ca. Le site propose des tests de dépistage des ITSS cliniquement indiqués, basés sur les directives de santé publique, ainsi que des ressources pour les services de santé préventifs. Les services fonctionnent en collaboration avec les agences de santé publique, qui agissent en tant que prestataires locaux et facilitent le lien avec les services de soins pour les personnes dont les résultats de test sont positifs ou qui ont besoin d'un suivi médical supplémentaire. Les résultats des 12 premiers mois de fonctionnement de GetaKit.ca ont montré un taux élevé d'utilisation de ce service, avec 3 497 commandes de tests de dépistage des ITSS pour des personnes éligibles, dont 59 % appartenaient à un groupe défavorisé sur le plan de l'équité. Au total, 83 nouveaux diagnostics (taux de positivité de 2,4 %) ont été identifiés chez les personnes ayant effectué un test via GetaKit.ca, qui se sont toutes vues prescrire un traitement et des soins par l'intermédiaire de leurs unités de santé respectives. Nous interprétons ces résultats comme suggérant que notre réforme a été en mesure d'élargir l'accès aux personnes souffrant d'ITSS non diagnostiquées.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".