Evidence map›Paper›PMID 36366351›Full record

ArticleVaccines2022

COVID-19 Vaccine Acceptance and Associated Factors among Women in Saudi Arabia: A Cross-Sectional Study.

Noor Alshareef

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Noor AlshareefDepartment of Health Services and Hospital Administration, Faculty of Economics and Administration, King Abdulaziz University, Jeddah 22254, Saudi Arabia.
King Abdulaziz University · SA

Funding

Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah PH:15-245-1442
6 · The paper itself

Abstract

Although women have been substantially affected by the pandemic, they tend to have a lower likelihood of COVID-19 vaccine acceptance. Research on factors associated with COVID-19 vaccine acceptance among this key population is imperative. Thus, this study aimed to assess COVID-19 vaccine acceptance and associated factors among women in Saudi Arabia. This study was part of a larger study conducted on the acceptance of the COVID-19 vaccine in Saudi Arabia, carried out between the 8th and 14th of December 2020. The study sample included 910 women aged 18 years and older. Bivariate and multivariable regression analyses was utilized to analyze the data. Overall, 41% of the participants were willing to receive the vaccine. Participants were more willing to accept vaccination if they were 40-49 years old (OR = 2.209, 95% CI: 1.49-2.02), if they had a moderate (OR = 2.570, 95% CI 1.562-4.228) or high to very high (OR = 1.925, 95% CI 1.093-3.390) perceived likelihood of being infected with COVID-19, or if they were in favor of mandatory COVID-19 vaccination for people in Saudi Arabia (OR = 64.916, 95% CI 35.911-117.351). However, participants with a high educational level (OR = 0.431, 95% CI 0.220-0.847) or who refused physician-recommended vaccines in the past (OR = 0.152, 95% CI 0.083-0.275) were less likely to accept COVID-19 vaccination. Given the low level of vaccine acceptance among women, relevant stakeholders should consider the needs and dynamics of this key population to increase vaccination uptake and to improve current and future outreach activities.

Indexed as

COVID-19female populationhesitancySaudi Arabiavaccinevaccine acceptancewomen

Identifiers

PMID36366351
PMCPMC9695121
OpenAlexW4308126806

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.