LINK BETWEEN PAY FOR PERFORMANCE INCENTIVES AND PHYSICIAN PAYMENT MECHANISMS: EVIDENCE FROM THE DIABETES MANAGEMENT INCENTIVE IN ONTARIO
Why this work is in the frame
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Bibliographic record
Abstract
Pay for performance (P4P) incentives for physicians are generally designed as additional payments that can be paired with any existing payment mechanism such as a salary, fee-for-services and capitation. However, the link between the physician response to performance incentives and the existing payment mechanisms is still not well understood. In this article, we study this link using the recent primary care physician payment reform in Ontario as a natural experiment and the Diabetes Management Incentive as a case study. Using a comprehensive administrative data strategy and a difference-in-differences matching strategy, we find that physicians in a blended capitation model are more responsive to the Diabetes Management Incentive than physicians in an enhanced fee-for-service model. We show that this result implies that the optimal size of P4P incentives vary negatively with the degree of supply-side cost-sharing. These results have important implications for the design of P4P programs and the cost of their implementation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it