Evidence map›Paper›PMID 31041218›Full record

ArticleJournal of family medicine and primary care2019

Drivers and barriers for measles rubella vaccination campaign: A qualitative study.

V K Krishnendhu, Leyanna Susan George

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

V K KrishnendhuDepartment of Community Medicine and Public Health, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India.
Leyanna Susan GeorgeDepartment of Community Medicine and Public Health, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe measles-rubella (MR) vaccination campaign was launched in Kerala on 3

objectivesThe objectives of the study were to analyze the drivers and barriers for acceptance of MR vaccination in the field area of a primary health center (PHC), which reported a low coverage (62%) during the initial phase of the campaign.

methodsA qualitative study consisting of key informant interviews of parents of vaccinated and unvaccinated children, medical officers of the PHC, Junior Public Health Nurse (JPHN), and Accredited Social Health Activist (ASHA) workers, and the principals of government and private schools where the campaign was conducted was also interviewed.

resultsThe major barrier to acceptance of MR campaign was the anti-vaccination propaganda in social media. The messages falsely linked fertility issues with the vaccine. The purpose of this campaign was not properly understood by the parents. The campaign was implemented within a short span of time resulting in coordination issues between the stakeholders. However, it was observed that religious affiliations played a major role in reducing coverage. The drivers to acceptance of MR vaccination campaign were the team effort of the healthcare providers who constantly motivated parents to vaccinate their children.

conclusionAddressing the anti-vaccination propaganda has become the need of the hour. The inclusion of all stakeholders including religious leaders in the planning and implementation of the campaign is essential for its success.

Indexed as

MeaslesMR campaignqualitative studyrubellavaccination coverage

Identifiers

PMID31041218
PMCPMC6482745

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.