Evidence map›Paper›PMID 36504012›Full record

ArticleThe Journal of the Egyptian Public Health Association2022

Determinants of coronavirus disease 2019 vaccine acceptance, hesitancy, and barriers among healthcare workers in Ismailia, Egypt: a mixed methods study.

Amani Waheed, Noha M Abu Bakr Elsaid, Mayada Ghweeba, Nermine Elmaraghy, Shimaa A Al-Touny, Nader Nemr, Rania M Kishk, Hebatalla M Aly

Open access · diamondAbstract read
In one paragraph

Article in The Journal of the Egyptian Public Health Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Amani WaheedDepartment of Public Health, Community, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Noha M Abu Bakr ElsaidDepartment of Public Health, Community, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt. nohabakr82@yahoo.com.
Mayada GhweebaDepartment of Public Health, Community, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Nermine ElmaraghyDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Shimaa A Al-TounyDepartment of Anaesthesia and ICU, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Nader NemrDepartment of Endemic and Infectious Diseases, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Rania M KishkDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Hebatalla M AlyDepartment of Public Health, Community, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Suez Canal University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 vaccine acceptance among healthcare workers (HCWs) plays a fundamental role in combating the COVID-19 pandemic. Vaccination acceptance depends on perceptions of competence and motives of the providers, producers, health professionals, and policymakers. This study aimed to identify the frequency and determinants of COVID-19 vaccine uptake acceptance, hesitancy, and barriers among HCWs.

methodsA total of 500 HCWs from 3 different hospital affiliations in Ismailia Governorate, Egypt, were included in this mixed methods study. The study was conducted between March and April 2021 through two phases. Phase 1 included a cross-sectional study using a self-administered questionnaire with inquiries about different determinants of vaccine acceptance, hesitancy, and barriers, which was completed either electronically in a Google form or a hard printed copy. Phase 2 included four focus group discussions to explore the determinants in depth.

resultsThe mean age of participants was 33.9 ± 7.9 years, 70% were females, 51.2% were nurses, and 28.6% were physicians. Of the 500 HCWs, only 27.8% accepted taking the vaccine immediately, 49.2% refused, and 23% were hesitant. Vaccine safety was the highest associated factor with vaccine acceptance (odds ratio (OR) = 6.3, 95% confidence interval (CI) 3.132-12.619), followed by previous uptake of influenza vaccine (OR = 3.3, 95% CI 2.048-5.217) and vaccine effectiveness (OR = 2.6, 95% CI 1.282-5.262). The main barriers to vaccine acceptance were mistrust in governmental policies during the pandemic or in the healthcare facility they work in. Hesitancy was common among females and nurses and was attributed to three prominent factors, including safety concerns, negative stories, and personal knowledge.

conclusionsThe vaccine acceptance frequency among HCWs was considered low, as the majority either refused or was hesitant about taking the vaccine. Concerns about vaccine safety and effectiveness were significant determinants of vaccine acceptance. Factors related to trust were the main barriers to vaccine uptake. The health authority should establish a surveillance system for side effects of the COVID-19 vaccine and communicate this information between HCWs to decrease their worries about safety and increase vaccine uptake.

Indexed as

Coronavirus disease 19 vaccinationHealthcare workersQualitative studyVaccine hesitancy

Identifiers

PMID36504012
PMCPMC9741945
OpenAlexW4311501741

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.