Nonreimbursed Costs Incurred by Living Kidney Donors: A Case Study From Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Living donors may incur out-of-pocket costs during the donation process. While many jurisdictions have programs to reimburse living kidney donors for expenses, few programs have been evaluated. METHODS: The Program for Reimbursing Expenses of Living Organ Donors was launched in the province of Ontario, Canada in 2008 and reimburses travel, parking, accommodation, meals, and loss of income; each category has a limit and the maximum total reimbursement is $5500 CAD. We conducted a case study to compare donors' incurred costs (out-of-pocket and lost income) with amounts reimbursed by Program for Reimbursing Expenses of Living Organ Donors. Donors with complete or partial cost data from a large prospective cohort study were linked to Ontario's reimbursement program to determine the gap between incurred and reimbursed costs (n = 159). RESULTS: The mean gap between costs incurred and costs reimbursed to the donors was $1313 CAD for out-of-pocket costs and $1802 CAD for lost income, representing a mean reimbursement gap of $3115 CAD. Nondirected donors had the highest mean loss for out-of-pocket costs ($2691 CAD) and kidney paired donors had the highest mean loss for lost income ($4084 CAD). There were no significant differences in the mean gap across exploratory subgroups. CONCLUSIONS: Reimbursement programs minimize some of the financial loss for living kidney donors. Opportunities remain to remove the financial burden of living kidney donors.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".