Expanding vaccination provider types and administration sites can increase vaccination uptake: A systematic literature review of the evidence in non-United States geographies
Bibliographic record
Abstract
Vaccination is a successful public health intervention; however, vaccine-preventable diseases continue to pose global health risks due to insufficient uptake. Expanding authority for "alternative" or complementary healthcare providers to administer vaccinations, as well as approving additional non-clinical vaccination sites, could improve access to and uptake of vaccines. The value of complementary providers and expanded sites has been documented in the United States; however, there is limited evidence in geographies outside the United States. To address this gap, we conducted a systematic literature review to identify studies that evaluated vaccination by complementary providers and/or at expanded sites outside of the United States. Of 943 identified records, 18 met our inclusion criteria and were conducted in Australia (4), Canada (6), the United Kingdom (3), Peru (2), Cameroon (1), or in multiple geographies (2). All studies demonstrated that expanding provider types and sites could positively impact vaccine uptake and/or provide additional benefits.
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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 | 0.007 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".