Indirect costs associated with out-of-country referral for proton therapy: a survey of adult and pediatric patients in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: Patients in Alberta, Canada are referred to the United States (US) for proton treatment. The Alberta Ministry of Health pays for the proton treatment and the cost of flights to and from the United States. This study aimed to determine the out-of-pocket expenses incurred by patients or patients' families. METHODS: An electronic survey was sent to 59 patients treated with proton therapy between January 2008 and September 2019. Survey questions asked about expenses related to travel to the US and those incurred while staying in the US, reimbursement of expenses, and whether any time away from work was paid or unpaid leave. RESULTS: Seventeen respondents (response rate, 29%) reported expenses of flights for family members (mean, CAD 1886; range CAD 0-5627), passports/visas and other travel costs (mean, CAD 124; range CAD 0-546), accommodation during travel to the US (mean, CAD 50; range CAD 0-563), food during travel to the US (mean, CAD 89; range CAD 0-338), accommodation in the US (rented home/apartment mean, CAD 7394; range CAD 3075-13,305; hotel mean, CAD 4730; range CAD 3564-5895; other accommodation mean CAD 2660; range CAD 0-13,842), transportation in the US (car mean, CAD 2760; range CAD 0-7649; bus/subway mean, CAD 413; range CAD 246-580), and food in the US (mean, CAD 2443; range 0-6921). Expenses were partially reimbursed or covered by not-for-profit organizations or government agencies for some patients (35%). Patients missed a mean of 59 days of work; accompanying family members missed an average of 34 days. For 29% this time away from work was paid, but unpaid for 71% of respondents. CONCLUSIONS: Multiple factors contributed to the expenses incurred including age of the patient, number of accompanying individuals, available accommodation, mode of transportation within the US, and whether the patient qualified for financial support. Added to this burden is the potential loss of wages for time away from work. The study showed a large variation in indirect costs for each family and supports actively seeking more opportunities for financial support for families with children with cancer.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 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".