Evidence map›Paper›PMID 35479261›Full record

ArticlePublic health in practice (Oxford, England)2022

Factors related to COVID-19 vaccine hesitancy in Saudi Arabia.

Yaser A Al Naam, Salah H Elsafi, Zeyad S Alkharraz, Thekra N Almaqati, Ahmed M Alomar, Ibrahim A Al Balawi, Arulanantham Z Jebakumar, Aisha A Ghazwani, Saleh S Almusabi, Sattam Albusaili and 2 more

Open access · goldAbstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Yaser A Al NaamDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Salah H ElsafiDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Zeyad S AlkharrazDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Thekra N AlmaqatiDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Ahmed M AlomarDepartment of Clinical Laboratory Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Ibrahim A Al BalawiVice Deanship of Postgraduate Studies and Research, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Arulanantham Z JebakumarAdvanced Clinical Simulation Center, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Aisha A GhazwaniDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Saleh S AlmusabiDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Sattam AlbusailiAcademic Affairs, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Fahad A MashwalDepartment of Clinical Laboratory Sciences, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Eidan M Al ZahraniCollege Deanship, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia.
Prince Sultan Military College of Health SciencesPrince Sultan University · SAImam Abdulrahman Bin Faisal University · SAKing Fahd Military Medical Complex · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the amount of vaccine hesitancy and its determinants in relation to various demographic, social, and personal characteristics among the Saudi population. Study design: Cross-sectional study. Methods: we utilized a structured questionnaire on a five point-Likert scale that included immunization process awareness, perception towards immunization and factors leading to vaccine refusal. Results: The study included 5965 participants characterized according to various demographical factors. The participant's knowledge, perception, and the factors affecting the decision of taking the vaccine were calculated. About 40.7% had enough information about COVID-19 vaccines and were willing to take it. The participant's perception towards COVID-19 vaccines is proportional to their knowledge and varied with the personal characteristics. Factors influencing vaccine use varied also with personal characteristics. Intent to be vaccinated was higher among older age groups, advanced education, retirees, and higher income persons (P < 0.001). Moreover, the influence of heterogeneity in personal perception towards COVID-19 vaccines has been discussed. Vaccine barriers scores were significantly higher among lower educational and income levels (P = 0.004). The leader's influence on vaccine decision was high (p < 0.001). The side effects of COVID-19 vaccine is the most important barrier to vaccine acceptance. Knowledge and perception score were consistently and significantly higher among the group who received their information from official websites, followed by those who had used both websites and social media (p < 0.001). Conclusion: Additional approaches will be needed to effectively meet the needs of the hesitant population, particularly the safety and efficacy concerns, the speed of vaccine development, and the distrust in government and health organizations.

Indexed as

COVID-19PandemicSaudi ArabiaVaccine hesitancy

Identifiers

PMID35479261
PMCPMC9023360
OpenAlexW4224286026

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.