Systematic review on reducing missed opportunities for vaccinations in Latin America
Bibliographic record
Abstract
Objectives: To estimate the prevalence of missed opportunities for vaccination (MOV) in Latin America and the effect of interventions targeting health systems, health workers, patients, and communities on MOV. Methods: Searches were conducted in MEDLINE, EMBASE, CINAHL, and LILACS electronic databases and relevant organizations were contacted, including the Pan American Health Organization (PAHO), to identify studies meeting eligibility criteria. A pair of reviewers identified 27 randomized and non-randomized studies quantifying the effectiveness of any intervention for reducing MOV and 5 studies assessing the rate of MOV in Latin America. Results are reported narratively when criteria to pool results were not met, and the certainty of this evidence was assessed using the GRADE approach. Results: Evidence suggests the rate of MOV in Latin America ranged from 5% to 37% with a pooled estimate of 17% (95% CI [9, 32]) (low certainty) and that monetary incentives to healthcare teams, training for healthcare teams on how to communicate with patients, and educational interventions for caregivers probably reduce MOV (moderate to very low certainty). Conclusions: There is insufficient evidence supporting the implementation of any intervention as policy based only on the potential reduction of MOV without considering several factors, including costs, feasibility, acceptability, and equity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".