Evidence map›Paper›PMID 42453944›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2026

Assessing vaccination coverage quality in Jamaica during COVID-19 using vcqiR: insights from the 2022 MICS.

Anya Cushnie, Dale A Rhoda, Caitlin B Clary, Jennifer Brustrom, Mary Kay Trimner, Federica Bertacchini, Paola Ojeda, Martha Velandia-González

Abstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Vaccination Coverage Quality Indicators (VCQI): a flexible open-source tool for survey data analysis.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anya CushniePan American Health Organization Kingston Jamaica Pan American Health Organization, Kingston, Jamaica.ORCID https://orcid.org/0000-0003-3447-9710
Dale A RhodaBiostat Global Consulting Worthington, Ohio United States of America Biostat Global Consulting, Worthington, Ohio, United States of America.ORCID https://orcid.org/0000-0003-0948-1368
Caitlin B ClaryBiostat Global Consulting Worthington, Ohio United States of America Biostat Global Consulting, Worthington, Ohio, United States of America.ORCID https://orcid.org/0000-0001-7283-749X
Jennifer BrustromBiostat Global Consulting Worthington, Ohio United States of America Biostat Global Consulting, Worthington, Ohio, United States of America.ORCID https://orcid.org/0000-0002-5865-3595
Mary Kay TrimnerBiostat Global Consulting Worthington, Ohio United States of America Biostat Global Consulting, Worthington, Ohio, United States of America.ORCID https://orcid.org/0000-0003-3591-1579
Federica BertacchiniPan American Health Organization Kingston Jamaica Pan American Health Organization, Kingston, Jamaica.ORCID https://orcid.org/0000-0003-2651-8935
Paola OjedaPan American Health Organization Comprehensive Immunization Program Washington, DC United States of America Pan American Health Organization, Comprehensive Immunization Program, Washington, DC, United States of America.ORCID https://orcid.org/0009-0008-3645-0835
Martha Velandia-GonzálezPan American Health Organization Comprehensive Immunization Program Washington, DC United States of America Pan American Health Organization, Comprehensive Immunization Program, Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-7636-3604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This analysis aimed to identify the underlying causes of gaps in routine immunization coverage observed during the COVID-19 pandemic recovery phase by applying the open-source Vaccination Coverage Quality Indicators package in R (vcqiR), addressing limitations in Multiple Indicator Cluster Surveys (MICS) that often omit quality metrics based on detailed vaccination date analysis. Methods: This secondary analysis examined vaccination doses and dates from the Jamaica 2022 MICS (MICS4), for 570 children ages 12-23 months and 24-35 months. Specific indicators included coverage, timeliness, dropouts, and missed opportunities for simultaneous vaccinations (MOSVs). Results: Vaccination coverage for first-year-of-life (1YL) doses exceeded 83% for both age cohorts. Coverage for MMR1 showed substantial catch-up from 12-23 months to 24-35 months, achieving the 95% target. However, MMR2 coverage lagged substantially (37.2% for 12-23 months and 61.9% for 24-35 months), indicating significant attrition in the second year of life. In the 12-23 month cohort, crude coverage of Penta3 was 89%, but only 70% had three valid doses. Most 1YL doses were administered in a timely manner (within 28 days), but premature administration was observed. MOSVs were negligible for 1YL doses but were frequent and mostly uncorrected for 18-month boosters, especially MMR2. Conclusions: The findings complement the MICS4 report and confirm robust early infant immunization delivery but identify programmatic gaps in second year-of-life retention plus the need to strengthen adherence to minimum age interval rules. These results provide detailed evidence necessary to inform targeted interventions and guide the design of future coverage surveys.

Indexed as

cluster analysisimmunization scheduleJamaicavaccination coverage

Identifiers

PMID42453944
PMCPMC13367209

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LicenceCC BY-NC-ND
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Registered trials

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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.