Economic analysis of pharmacist-administered influenza vaccines in Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the impact of pharmacist administration of influenza vaccine in Ontario on: 1) vaccination-associated costs related to the number of people vaccinated; 2) annual influenza-related outcomes and costs; and 3) change in productivity costs. METHODS: Using available data for Ontario, the total number of vaccinations given by providers in the 2011/12 influenza season (pre) was compared to the 2013/14 influenza season (post). Vaccine costs and provider fees for administration were assigned for both periods. An economic model was created to estimate the impact of the change in influenza vaccination volume on influenza-related outcomes and on the health care costs associated with treating influenza-related outcomes. Productivity costs due to both time off work due to getting vaccinated and influenza illness were considered. One-way sensitivity analysis was used to assess parameter uncertainty. RESULTS: The number of vaccinations received by Ontarians increased by 448,000 (3% of the population), with pharmacists vaccinating approximately 765,000 people/year. The increased cost to the Ontario Ministry of Health and Long-term Care was $6.3 million, while the money saved due to reduced influenza-related outcome costs was $763,158. Productivity losses were reduced by $4.5 million and $3.4 million for the time invested to get vaccinated and time off work due to influenza illness, respectively. CONCLUSION: After two influenza seasons, following the introduction of pharmacist-administered influenza vaccinations, there was a net immunization increase of almost 450,000, which potentially saved $2.3 million in direct health care costs and lost productivity in the province.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it