Evidence map›Paper›PMID 39559738›Full record

ArticleVaccine: X2024

Lot quality assurance sampling for coverage evaluation of a new vaccine: A pilot study.

Rhythm Hora, Arindam Ray, Imkongtemsu Longchar, G R Rio, Rashmi Mehra, Seema Singh Koshal, Amrita Kumari, Syed F Quadri, Amanjot Kaur, Arup Deb Roy

Abstract read
In one paragraph

Article in Vaccine: X, 2024. 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

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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

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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. 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

10 authors.

Rhythm HoraJohn Snow India, New Delhi, India.
Arindam RayBill and Melinda Gates Foundation, New Delhi, India.
Imkongtemsu LongcharDirectorate of Health and Family Welfare, Government of Nagaland, India.
G R RioDirectorate of Health and Family Welfare, Government of Nagaland, India.
Rashmi MehraJohn Snow India, New Delhi, India.
Seema Singh KoshalJohn Snow India, New Delhi, India.
Amrita KumariJohn Snow India, New Delhi, India.
Syed F QuadriJohn Snow India, New Delhi, India.
Amanjot KaurJohn Snow India, New Delhi, India.
Arup Deb RoyJohn Snow India, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Worldwide, vaccine-preventable diseases have been a significant cause of mortality in the under-5 age group. To reduce the disease burden, new vaccines are being introduced in every country's immunization programmes. For this to happen, high vaccination coverage is necessary. However, rapidly identifying the areas that fail to reach the expected coverage becomes cumbersome. During recent years, lot quality assurance sampling (LQAS) has been widely used in evaluating immunization coverage across the globe. The present study aims to pilot this approach for field monitoring of a new vaccine against routine concurrent field monitoring in one of the North-Eastern states of India. Methodology: For LQAS, a community-based cross-sectional study was undertaken among 55 children aged 0-23 months in all 5 Primary health centres (lots) of Medziphema block, Dimapur, Nagaland. The total sample size for LQAS was calculated based on α = 5, β = 90 using Lemeshow and Taber-LQAS table with a target level of immunization defined as 90 % and the lower limit set to 55 %. For the concurrent field monitoring, a sample of 30 children in the same age group was selected through random sampling. Pre-designed, pre-tested questionnaire for the caregivers, scripted on a digital tool was employed with verification of immunization card and caregiver's recall. Data was analyzed using SPSS software version 25.0. Results: The study found a slight difference in the percentage of children age-appropriately vaccinated for PCV (as per the schedule) in concurrent field monitoring (93.3 %) and LQAS (90.9 %). However, no statistically significant difference was found in comparing the immunization coverage using both methodologies (p > 0.05). Conclusion: The study findings encourage that LQAS can be considered for monitoring the immunization coverage of a newly introduced vaccine. It offers the added advantage of identifying poor/low-performing pockets that require focused attention.

Identifiers

PMID39559738
PMCPMC11570966

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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.