ArticleAnnals of medicine and surgery (2012)2022
Why are missed opportunities for immunisation and immunisation defaulting among children indistinguishable?
Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Article
- Roles of mobile teams in tracing lost to follow-up clients: evidence from the optimization of COVID-19 vaccination uptake and routine immunization in Ekiti State.BMC health services research · 2025Article
- Missed opportunities for immunization among children 0 to 11 months of age that were attended to at debre tabor comprehensive specialized hospital, south gondar zone, Ethiopia.Frontiers in pediatrics · 2023Article
- False Contraindications for Vaccinations Result in Sub-Optimal Vaccination Coverage in Quito, Ecuador: A Cross-Sectional Study.Vaccines · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The two major global immunization agenda framings (Missed Opportunity for Immunisation (MOI) vs. Immunisation Defaulting) are interchangeably and inappropriately used in public health research and practice, with flawed or misleading strategies recommended and adopted in various settings around the world. This is demonstrated by the fact that many opportunities to incorporate findings from immunization coverage research into policy are squandered. The ineffectiveness of inappropriate interventions based on biased evidence can discourage and mislead policymakers to make radical decisions by discretion. This may explain why low- and middle-income countries are unable to vaccinate 80% of their children; it also poses a global health risk to capable countries. The current guidelines and information on MOI and immunization defaulting appear insufficient, and a little clarification would help immunisation forerunners achieve measurable progress in ensuring good coverage, particularly in low- and middle-income countries. The purpose of this paper is to provide appropriate recommendations to address this issue in immunization practice. Optimistically, this will stimulate further discussions, streamline differences, and gear global immunization governance on the subject to achieve the target coverage in low- and middle-income countries by 2030.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.