Evidence map›Paper›PMID 34000711›Full record

ArticleDiabetes & metabolic syndrome

Using structural equation modeling to predict Indian people's attitudes and intentions towards COVID-19 vaccination.

Hilal Hamid Mir, Subeena Parveen, Naushadul Haque Mullick, Shazia Nabi

Open access · greenAbstract read
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023
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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

4 authors at 1 institution in 1 country.

Hilal Hamid MirCenter for Management Studies Jamia Millia Islamia Central University, New-Delhi, 110025, India. Electronic address: mirhilal410@gmail.com.
Subeena ParveenDepartment of Commerce and Business Studies Jamia Millia Islamia Central University, New-Delhi, 110025, India.
Naushadul Haque MullickCenter for Management Studies Jamia Millia Islamia Central University, New-Delhi, 110025, India.
Shazia NabiDepartment of Commerce and Business Studies Jamia Millia Islamia Central University, New-Delhi, 110025, India.
Jamia Millia Islamia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimUnderstanding people's attitudes towards Covid-19 vaccination is crucial to the successful implementation of a vaccination program. Hence this research study seeks to identify critical factors influencing Indian people's attitudes and intentions to take up Covid-19 vaccinations.

methodsAn online questionnaire was administered to a sample (n = 254) drawn from Indian population, to assess the impact of perceived benefits, risk perceptions, social media exposure, social norms, and trust associated with Covid-19 vaccines on people's attitudes towards Covid-19 vaccines and their intentions to take up the Covid-19 vaccinations.

resultsThe findings showed that the perceived benefits, social norms, and trust correlated significantly with people's attitudes towards Covid-19 vaccinations. In contrast, risk perceptions and social media exposure showed an insignificant influence on people's attitudes towards Covid-19 vaccinations. Social norms, trust, and people's attitudes towards the Covid-19 vaccinations are significantly correlated with their intentions to take up Covid-19 vaccinations. On the contrary, social media exposure was found to have an insignificant influence on people's intentions to take up Covid-19 vaccinations.

conclusionParticipants' intentions to take up Covid-19 vaccinations was influenced mainly by their attitudes and perceptions of Covid-19 vaccines in general, which strongly confirms the importance of various dimensions (perceived benefits, trust, social norms) of Covid-19 vaccines in cultivating Covid-19 vaccination acceptance among participants'.

Indexed as

Health Knowledge, Attitudes, PracticeIntentionAdolescentAdultAgedAged, 80 and overAttitude to HealthCOVID-19COVID-19 VaccinesFemaleHealth LiteracyHumansIndiaInternetLatent Class AnalysisMaleCOVID-19 VaccinesCovid-19 vaccinationHealth belief model (HBM)Statistical analysisStructural equation modelingTheory of planned behavior (TPB)

Identifiers

PMID34000711
PMCPMC8105307
OpenAlexW3163605523

What OpenQuestion holds

Textmetadata
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.