Background: Acceptability of COVID-19 vaccine by healthcare workers (HCWs) can affect its acceptability by the general population.

Aim: To assess COVD-19 vaccine acceptability among HCWs in Sana'a, Yemen.

Methods: We conducted a multicentre cross-sectional study among 391 HCWs in Sana'a, Yemen, from January to March 2022. We used a self-administered questionnaire to collect data on the demographics, profession, academic qualifications, and experience of HCWs, as well as their COVID-19 vaccine acceptability or hesitancy. We used univariate and multivariable logistic regression to analyse the association between the independent variables and vaccine hesitancy (P < 0.05).

Results: Of the 391 HCWs, only 194 (49.6%) were willing to accept the COVID-19 vaccine. The most frequent reasons for vaccine hesitancy were fear of adverse reactions (77.7%), concerns about unknown effects of the vaccine in the future (73.1%), and uncertainty about the safety of new vaccines (69.5%). Female gender and working in the public sector were independent predictors of vaccine hesitancy among the HCWs.

Conclusion: Nearly half of the HCWs in Sana'a, Yemen, were willing to accept the COVID-19 vaccine. Female gender and working in the public health sector were independent predictors of vaccine hesitancy. We recommend further studies to compare COVID-19 acceptability among HCWs in the public and private sectors in Yemen.

Download full-text PDF

Source
http://dx.doi.org/10.26719/emhj.23.109DOI Listing

Publication Analysis

Top Keywords

covid-19 vaccine
20
vaccine hesitancy
16
vaccine acceptability
12
hcws sana'a
12
vaccine
10
healthcare workers
8
acceptability hcws
8
391 hcws
8
sana'a yemen
8
accept covid-19
8

Similar Publications

Background: The impact of public health measures against the coronavirus disease 2019 on the rate of childhood immunization has not yet been fully defined. Particularly, measures which directly affect health-seeking behaviors (e.g.

View Article and Find Full Text PDF

During public health crises such as pandemics, governments must rapidly adopt and implement wide-reaching policies and programs ("public policy interventions"). A key takeaway from the coronavirus disease 2019 (COVID-19) pandemic was that although numerous randomized controlled trials (RCTs) focussed on drugs and vaccines, few policy experiments were conducted to evaluate effects of public policy interventions across various sectors on viral transmission and other consequences. Moreover, many quasi-experimental studies were of spurious quality, thus proving unhelpful for informing public policy.

View Article and Find Full Text PDF

Background: Alcohol dependence remains a significant global health issue, exacerbated by the coronavirus disease 2019 (COVID-19) pandemic. Phosphatidylethanol (PEth), a direct biomarker of recent alcohol consumption, offers improved specificity, sensitivity, and a longer detection window of 2 - 4 weeks compared to traditional biomarkers. This study evaluates the association between PEth testing and hospital outcomes in hospitalized patients by comparing outcomes among patients with positive PEth and negative PEth test results.

View Article and Find Full Text PDF

The test-negative design (TND) is widely used to estimate COVID-19 vaccine effectiveness (VE). Biased estimates of VE may result from effects of at-home SARS-CoV-2 rapid diagnostic test (RDT) results on decisions to seek healthcare. To investigate magnitude of potential bias, we constructed decision trees with input probabilities obtained from longitudinal surveys of U.

View Article and Find Full Text PDF

The development of COVID-19 vaccines has been an important step in the fight against the pandemic. However, it is still necessary to understand the influence of factors that can alter the immune response. In general, doses need to be updated frequently, and care must be taken to control the virus that is still circulating worldwide.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!