Evidence map›Paper›PMID 36820092›Full record

ArticleHeliyon2023

A Qualitative Comparative Analysis to explore the predictors of individuals' willingness towards vaccination.

Eslavath Rajkumar, John Romate, Rajgopal Greeshma, Maria Lipsa

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
0.8field-weighted citation impact, top 29% of its field
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, 3 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Eslavath RajkumarDepartment of Psychology, Central University of Karnataka, Kalaburagi, Karnataka, India.
John RomateDepartment of Psychology, Central University of Karnataka, Kalaburagi, Karnataka, India.
Rajgopal GreeshmaDepartment of Psychology, Central University of Karnataka, Kalaburagi, Karnataka, India.
Maria LipsaDepartment of Psychology, Central University of Karnataka, Kalaburagi, Karnataka, India.
Central University of Karnataka · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of COVID-19 traumatized individuals from all walks of life and while the demand for vaccines increased exponentially, the authorities seem to encounter greater challenges on their road to create herd immunity. Governments initiated numerous campaigns to influence individuals to opt for vaccination and India being a diverse country makes it difficult to understand the motivating factors for getting COVID-19 vaccination. The study aimed to explore the predictors of individuals' willingness to get vaccinated using Qualitative Comparative Analysis (QCA). After screening using the vaccine hesitancy scale, a semi-structured interview was conducted among 30 respondents from India. Crisp Set QCA was utilized to analyse the data which lead to nine conditions. A solution combination of seven conditions showed a consistency of 1 and coverage of 0.6. They included knowledge about vaccines, perceived severity of the COVID-19 virus, family and peer influence, media and health department's influence, a sense of social responsibility, trust in the authorities and vaccine efficacy. This study contributes to the relevance of QCA's use in psychological research, especially to identify predictors of willingness to immunize. The findings of this study would help in designing appropriate interventions to enhance willingness to get vaccinated.

Indexed as

Crisp setIntentionKnowledge about vaccinesQualitative comparative analysisWillingness

Identifiers

PMID36820092
PMCPMC9931422
OpenAlexW4320882920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.