Evidence map›Paper›PMID 39453937›Full record

ArticlePloS one2024

Cross-cultural adaptation and validation of an Urdu version of the Vaccine Attitudes Examination (VAX-U) scale.

Atta Abbas Naqvi, Md Ashraful Islam, Amnah Jahangir, Mehwish Rizvi, Wajiha Iffat, Muhammad Tariq Aftab, Leslie R Martin

Abstract readValidation Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Atta Abbas NaqviSchool of Pharmacy, University of Reading, Whiteknights Campus, Reading, United Kingdom.ORCID 0000-0003-2637-0424
Md Ashraful IslamDepartment of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Amnah JahangirDepartment of Pharmacy, Tabba Heart Institute, Karachi, Pakistan.
Mehwish RizviDow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan.
Wajiha IffatDow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan.
Muhammad Tariq AftabDepartment of Pharmacology, Islam Medical and Dental College, Sialkot, Pakistan.
Leslie R MartinDepartment of Psychology, La Sierra University, Riverside, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMartin and Petrie developed the Vaccine Attitudes Examination (VAX) scale with an aim to document general vaccination attitudes. Vaccine acceptance plays an important role in curbing COVID-19 infections. Thus, it was important to assess vaccination attitudes of Pakistani people towards novel COVID-19 vaccines. The VAX scale was not available in Urdu language for Pakistani population.

aimThe study aimed to carry out cross-cultural adaptation and validation of an Urdu version of the Vaccine Attitude Examination (VAX) scale in a selected population sample from Pakistan.

methodsA cross sectional study was conducted in September 2021 in an outpatient department of a healthcare facility in Karachi, Pakistan. Adult visitors, eligible for COVID-19 vaccine and spoke Urdu as first language were invited. Convenient sampling was used, and sample size was based on an item response ratio of 1:20. An Urdu version of the VAX scale was developed. The reliability was assessed using Cronbach's alpha (α) and intraclass correlation coefficient (ICC). The model fitness was evaluated using confirmatory factor analysis (CFA) and fit indices namely goodness of fit index (GFI), adjusted goodness of fit index (AGFI), Tucker Lewis index (TLI), comparative fit index (CFI), and root mean square error of approximation (RMSEA). A structural equation model (SEM) was also developed. IBM SPSS and AMOS were used to analyse the data. The study had ethical clearance.

resultsA total of 211 responses were analysed. The reliability (Cronbach's α) was 0.821. The ICC was 0.831 (95% CI: 0.795-0.863). CFA using a 4-factor model revealed the following values for fit indices; GFI = 0.944, AGFI = 0.909, TLI = 0.953, CFI = 0.966, and RMSEA = 0.051. All values reported were in the acceptable range.

conclusionThe VAX Urdu version is a reliable and valid instrument for use in an Urdu speaking population and will enable clinicians to assess the public's attitude towards general vaccination including COVID-19 vaccination. Clinicians can use the VAX-U to document a person's vaccine hesitancy and tailor their counselling to address the issues in vaccine uptake.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultCross-Cultural ComparisonCross-Sectional StudiesFemaleHumansLanguageMaleMiddle AgedPakistanPsychometricsReproducibility of ResultsSARS-CoV-2Surveys and QuestionnairesCOVID-19 Vaccines

Identifiers

PMID39453937
PMCPMC11508465

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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.