Von der „Burden of Disease”-Forschung zur Konzeption eines integrierten Versorgungssystems für Substanzabusus am Beispiel Ontario
Bibliographic record
Abstract
Das Paradigma der „evidence based medicine” ist inzwischen einer der wichtigsten Pfeiler moderner Gesundheitspolitik in etablierten Marktwirtschaften. Basierend auf diesem Paradigma wurde in den späten 90er Jahren in der kanadischen Provinz Ontario ein Monitoringsystem des Behandlungssystems für Substanzabusus entwickelt, das folgende Bestandteile erfasst: Verfügbarkeit von Behandlungsplätzen, Inanspruchnahme von Leistungen, Behandlungskosten und Outcome. Schwierigkeiten bei der Implementierung dieses Systems werden ebenso vorgestellt wie ein Ausblick auf zukünftige Entwicklungen. From „Burden of Disease” Research to the Conception of an Integrated Supply System for Abuse of Substances in Ontario The paradigm of evidence-based medicine has become one of the building blocks of modern health policy in established market economies. Based on this paradigm, a monitoring system for treatment of substance abuse has been developed in the Canadian province of Ontario. This monitoring system comprises four main elements: availability of treatment places, utilization of specialized health services, costs of treatment and outcome indicators. The paper discusses difficulties in implementing the system and gives some indications on future developments.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".