Factors Associated With Diabetes Care Quality Among Patients With Schizophrenia in Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: The authors investigated demographic, clinical, and service-utilization factors that affected the quality of diabetes care among patients with schizophrenia. METHODS: This was a retrospective cohort study of adults with schizophrenia and diabetes (N=26,259) in Ontario, Canada. Quality of care was based on receipt of three guideline-concordant diabetes care procedures between 2011 and 2013. A cumulative logit regression model was used to determine characteristics associated with optimal testing. RESULTS: Factors associated with optimal diabetes testing included more frequent outpatient psychiatrist visits (odds ratio [OR]=1.28, 95% confidence interval [CI]=1.20-1.37) and primary care visits for nonmental health reasons (OR=2.10, 95% CI=1.85-2.39). High-frequency primary care visits for mental health reasons, any hospitalizations, and emergency visits for mental health reasons were associated with lower odds of testing. CONCLUSIONS: Diabetes quality of care may be contingent on receipt of medically focused primary care, psychiatric stability, and receipt of specialist psychiatric care.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".