Peritoneal Dialysis in Ontario: A Natural Experiment in Physician Reimbursement Methodology
Bibliographic record
Abstract
BACKGROUND: The factors that determine dialysis modality selection and distribution are not well understood. Physician reimbursement incentives have been suggested to play an important role. Under the fee-for-service system in Ontario that existed prior to July 1998, nephrologists were paid about sevenfold more for a hemodialysis (HD) patient than for a patient on peritoneal dialysis (PD). However, since then, nephrologists have been reimbursed via a modality-independent capitation fee, whereby payment for any form of dialysis is the same. This was expected to markedly increase the use of PD. METHODS: When the capitation fee was introduced in 1998, a survey questionnaire of all Ontario nephrologists was done and repeated 3 years later (response rate 62.5%). Changes in dialysis modality incidence and prevalence rates in Ontario and in the rest of Canada were examined. RESULTS: On a scale of 1 to 7, nephrologists were convinced that the capitation fee was a good thing (mean rating 6.07); 75% said they had been seeing patients at every dialysis under the old system, compared to 41% now. Of significance, the proportion of prevalent patients on PD in Ontario declined from 27.3% in 1997 to 19.7% in 2000, increasing to 22.6% in 2002. Similarly, the incident PD rate seems to have stabilized, while the use of nonhospital-based HD has increased. CONCLUSIONS: Following the introduction of the capitation fee, PD use in Ontario continued to decline for 2 years, and then began to increase. In the rest of Canada, there are continuing declines in PD use. This is consistent with the hypothesis that the new incentives caused by the altered physician reimbursement are acting in a subtle way to increase PD and non-hospital-based HD. A longer period of observation may be required to assess the complete effect.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".