Evidence map›Paper›PMID 34437554›Full record

ArticlePloS one2021

Arabic validation and cross-cultural adaptation of the 5C scale for assessment of COVID-19 vaccines psychological antecedents.

Samar Abd ElHafeez, Iffat Elbarazi, Ramy Shaaban, Rony ElMakhzangy, Maged Ossama Aly, Amr Alnagar, Mohamed Yacoub, Haider M El Saeh, Nashwa Eltaweel, Sulafa T Alqutub and 1 more

Abstract read
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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

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  7. Psychological antecedents of vaccine inequity: keys to improve the rates of vaccination.The Journal of the Egyptian Public Health Association · 2024
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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

11 authors.

Samar Abd ElHafeezEpidemiology Department High Institute of Public Health, Alexandria University, Alexandria, Egypt.ORCID 0000-0002-3250-2780
Iffat ElbaraziInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates.ORCID 0000-0001-7151-2175
Ramy ShaabanDepartment of Instructional Technology and Learning Sciences, Utah State University, Salt Lake City, Utah, United States of America.ORCID 0000-0003-1709-1036
Rony ElMakhzangyAlexandria University, Alexandria, Egypt.ORCID 0000-0002-1089-2677
Maged Ossama AlyHigh Institute of Public Health, Alexandria University, Alexandria, Egypt.
Amr AlnagarGeneral Surgery Department, Faculty of Medicine, Alexandria university, Alexandria, Egypt.
Mohamed YacoubDepartment of English, Florida International University, Gainesville, Florida, United States of America.
Haider M El SaehDepartment of Community Medicine, Faculty of Medicine, University of Tripoli, Tripoli, Libya.ORCID 0000-0003-1031-0777
Nashwa EltaweelObstetrics and Gynaecology Department, University Hospitals of Birmingham, Birmingham, England, United Kingdom.
Sulafa T AlqutubFamily and Community Medicine Department, Faculty of Medicine, University of Jeddah, Jeddah, Kingdom of Saudi Arabia.
Ramy Mohamed GhazyTropical Health Department, High Institute of Public health, Alexandria University, Alexandria, Egypt.ORCID 0000-0001-7611-706X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the Arab countries, there has not been yet a specific validated Arabic questionnaire that can assess the psychological antecedents of COVID-19 vaccine among the general population. This study, therefore, aimed to translate, culturally adapt, and validate the 5C scale into the Arabic language.

methodsThe 5C scale was translated into Arabic by two independent bilingual co-authors, and then translated back into English. After reconciling translation disparities, the final Arabic questionnaire was disseminated into four randomly selected Arabic countries (Egypt, Libya, United Arab Emirates (UAE), and Saudi Arabia). Data from 350 Arabic speaking adults (aged ≥18 years) were included in the final analysis. Internal consistency was assessed by Cronbach's alpha. Construct validity was determined by concurrent, convergent, discriminant, exploratory and confirmatory factor analyses.

resultsAge of participants ranged between 18 to 73 years; 57.14% were females, 37.43% from Egypt, 36.86%, from UAE, 30% were healthcare workers, and 42.8% had the intention to get COVID-19 vaccines. The 5 sub-scales of the questionnaire met the criterion of internal consistency (Cronbach's alpha ≥0.7). The predictors of intention to get COVID-19 vaccines (concurrent validity) were young age and the 5C sub-scales. Convergent validity was identified by the significant inter-item and item-mean score of the sub-scale correlation (P<0.001). Discriminant validity was reported as inter-factor correlation matrix (<0.7). Kaiser-Meyer-Olkin sampling adequacy measure was 0.80 and Bartlett's sphericity test was highly significant (P<0.001). Exploratory factor analysis indicated that the 15 items of the questionnaire could be summarized into five factors. Confirmatory factor analysis confirmed that the hypothesized five-factor model of the 15-item questionnaire was satisfied with adequate psychometric properties and fit with observed data (RMSEA = 0.060, GFI = 0.924, CFI = 0.957, TLI = 0.937, SRMR = 0.076 & NFI = 906).

conclusionThe Arabic version of the 5C scale is a valid and reliable tool to assess the psychological antecedents of COVID-19 vaccine among Arab population.

Indexed as

AdolescentAdultAgedCOVID-19COVID-19 VaccinesCross-Cultural ComparisonEgyptFemaleHumansLibyaMaleMiddle AgedPsychometricsSARS-CoV-2Saudi ArabiaSurveys and QuestionnairesCOVID-19 Vaccines

Identifiers

PMID34437554
PMCPMC8389382

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.