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COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework
- Source :
- Journal of Medical Internet Research, Journal of Medical Internet Research, Vol 23, Iss 4, p e26874 (2021)
- Publication Year :
- 2020
-
Abstract
- Background With the approval of two COVID-19 vaccines in Canada, many people feel a sense of relief, as hope is on the horizon. However, only about 75% of people in Canada plan to receive one of the vaccines. Objective The purpose of this study is to determine the reasons why people in Canada feel hesitant toward receiving a COVID-19 vaccine. Methods We screened 3915 tweets from public Twitter profiles in Canada by using the search words “vaccine” and “COVID.” The tweets that met the inclusion criteria (ie, those about COVID-19 vaccine hesitancy) were coded via content analysis. Codes were then organized into themes and interpreted by using the Theoretical Domains Framework. Results Overall, 605 tweets were identified as those about COVID-19 vaccine hesitancy. Vaccine hesitancy stemmed from the following themes: concerns over safety, suspicion about political or economic forces driving the COVID-19 pandemic or vaccine development, a lack of knowledge about the vaccine, antivaccine or confusing messages from authority figures, and a lack of legal liability from vaccine companies. This study also examined mistrust toward the medical industry not due to hesitancy, but due to the legacy of communities marginalized by health care institutions. These themes were categorized into the following five Theoretical Domains Framework constructs: knowledge, beliefs about consequences, environmental context and resources, social influence, and emotion. Conclusions With the World Health Organization stating that one of the worst threats to global health is vaccine hesitancy, it is important to have a comprehensive understanding of the reasons behind this reluctance. By using a behavioral science framework, this study adds to the emerging knowledge about vaccine hesitancy in relation to COVID-19 vaccines by analyzing public discourse in tweets in real time. Health care leaders and clinicians may use this knowledge to develop public health interventions that are responsive to the concerns of people who are hesitant to receive vaccines.
- Subjects :
- medicine.medical_specialty
Canada
COVID-19 Vaccines
content analysis
social media
Twitter
Behavioural sciences
Health Informatics
Context (language use)
behavioral science
lcsh:Computer applications to medicine. Medical informatics
Global Health
immunization
infodemiology
Treatment Refusal
03 medical and health sciences
infoveillance
0302 clinical medicine
framework
vaccine
Health care
Global health
medicine
Humans
Social media
030212 general & internal medicine
Pandemics
Social influence
Original Paper
030505 public health
business.industry
behavior
Public health
lcsh:Public aspects of medicine
COVID-19
lcsh:RA1-1270
Public relations
Content analysis
lcsh:R858-859.7
vaccine hesitancy
Public Health
hesitancy
0305 other medical science
Psychology
business
Subjects
Details
- ISSN :
- 14388871
- Volume :
- 23
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of medical Internet research
- Accession number :
- edsair.doi.dedup.....999cab100398ff2ea502279c55679bb8