COVID-19 Vaccine Hesitancy Among Healthcare Workers: A Phenomenological Study of Skepticism
Abstract
Rationale: Despite the prioritizing the healthcare workers (HCWs) for COVID-19 in a systematized manner the phenomenon of vaccine hesitancy was observed in them. HCWs are presumed to be pre-emptive in up-taking the vaccine due to their closest association and having reasonable background information. Hence, we intended to explore and investigate the phenomenology of skepticism and hesitancy toward the COVID-19 vaccine among HCWs. Method: A sequential explanatory mixed methods study design incorporating a baseline cross-sectional survey followed by qualitative and semiquantitative text-mining approach was adopted in a tertiary care center in Madhya Pradesh, India. Six hundred seventy-nine HCWs for quantitative data and 30 HCWs for qualitative interviews were surveyed. After determining the quantum and baseline traits of hesitant HCWs, 30 participants were purposively selected for in-depth qualitative analysis based on grounded theory using a framework approach and consolidated from the psychological and philosophical plane of skepticism. This was complemented by a semiquantitative text-mining approach using mono/bigram analysis and network plotting. Results: Approximately one-fifth of participants (18%,122 out of 679) were initially, and one-tenth of initially hesitant (10 out of 122) were terminally hesitant. Hesitant and non-hesitant participants were similar except for comorbidity status. Five themes emerged namely individual, vaccine-related, social, system, and…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 30 participants or records.
Read the paper
Related studies
- Quantum dots: synthesis, bioapplications, and toxicity
- A Guide to In Silico Drug Design
- Quantum Computing for Healthcare: A Review
- Automated in Silico Design of Homogeneous Catalysts
- Identification of Novel 3-Hydroxy-pyran-4-One Derivatives as Potent HIV-1 Integrase Inhibitors Using in silico Structure-Based Combinatorial Library Design Approach
- In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.