Evidence map›Paper›PMID 35372646›Full record

ArticleData in brief2022

The psychometric properties of motors of COVID-19 vaccination acceptance scale (MoVac-COVID19S): A dataset across five regions.

Daniel Kwasi Ahorsu, Chung-Ying Lin, I-Hua Chen, Irfan Ullah, Sheikh Shoib, Shafi Ullah Zahid, Emma Sethina Adjaottor, Frimpong-Manso Addo, Amir H Pakpour

Abstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Predictors of COVID-19 Stress and COVID-19 Vaccination Acceptance among Adolescents in Ghana.International journal of environmental research and public health · 2022
    Article
  4. Review
  5. Article
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

9 authors.

Daniel Kwasi AhorsuDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
I-Hua ChenChinese Academy of Education Big Data, Qufu Normal University, Qufu City, Shandong, China.
Irfan UllahKabir Medical College, Gandhara University, Peshawar, Pakistan.
Sheikh ShoibSheikh Shoib Department of Psychiatry, Jawahar Lal Nehru Memorial Hospital, Srinagar, India.
Shafi Ullah ZahidDepartment of Neurosurgery, Jamhuriat hospital, Kabul, Afghanistan.
Emma Sethina AdjaottorDepartment of Behavioural Sciences, Kwame Nkrumah University of Science and Technology, Ghana.
Frimpong-Manso AddoDepartment of Behavioural Sciences, Kwame Nkrumah University of Science and Technology, Ghana.
Amir H PakpourDepartment of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease 2019 (COVID-19) continues to plague the world. Hence, there is been an effort to mitigate this virus and its effects with several means including vaccination which is one of the most effective ways of controlling the virus. However, efforts at getting people to vaccinate have met several challenges. To help with understanding the reasons underlying an individual's willingness to take COVID-19 vaccine or not, a scale called Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) was developed. To expand its usability worldwide (as it has currently been limited to only China and Taiwan), data were collected in other countries (regions) too. Therefore, this MoVac-COVID19S data is from five countries (that is, India, Ghana, Afghanistan, Taiwan, and mainland China) which cut across five regions. A total of 6053 participants across the stated countries completed the survey between January and March 2021 using a cross-sectional survey design. The different sections of the survey solicited sociodemographic information (e.g., country, age, gender, educational level, and profession) and the MoVac-COVID19S data from the participants. The data collected from this survey were analyzed using descriptive statistics, which were carried out using the IBM SPSS version 22.0.

Indexed as

AfghanistanChinaCOVID-19GhanaIndiaMeasurement InvarianceTaiwan

Identifiers

PMID35372646
PMCPMC8957882

What OpenQuestion holds

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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.