Economic evaluation of the “paramedics and palliative care: bringing vital services to Canadians” program compared to the status quo
Bibliographic record
Abstract
OBJECTIVE: Based on programs implemented in 2011-2013 in three Canadian provinces to improve the support paramedics provide to people receiving palliative care, the Canadian Partnership Against Cancer and Healthcare Excellence Canada provided support and funding from 2018 to 2022 to spread this approach in Canada. The study objectives were to conduct an economic evaluation of "the Program" compared to the status quo. METHODS: A probabilistic decision analytic model was used to compare the expected costs, the quality-adjusted life years (QALYs) and the return on investment associated with the Program compared to the status quo from a publicly funded healthcare payer perspective. Effectiveness data and Program costs, expressed in 2022 Canadian dollars, from each jurisdiction were supplemented with literature data. Probabilistic sensitivity analyses varying key model assumptions were conducted. RESULTS: Analyses of 5416 9-1-1 calls from five jurisdictions where paramedics provided support to people with palliative care needs between April 1, 2020 and March 31, 2022 indicated that 60% of the 9-1-1 calls under the Program enabled people to avoid transport to the emergency department and receive palliative care at home. Treating people at home saved paramedics an average of 31 min (range from 15 to 67). The Program was associated with cost savings of $2773 (95% confidence interval [CI] $1539-$4352) and an additional 0.00069 QALYs (95% CI 0.00024-0.00137) per 9-1-1 palliative care call. The Program return on investment was $4.6 for every $1 invested. Threshold analyses indicated that in order to be cost saving, 33% of 9-1-1 calls should be treated at home under the Program, the Program should generate a minimum of 97 calls per year with each call costing no more than $2773. CONCLUSION: The Program was cost-effective in the majority of the scenarios examined. These results support the implementation of paramedic-based palliative care at home programs in Canada.
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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 | 0.023 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".