Table 4.
Qualitative coding and quantification of free text responses of other reasons to not get a COVID-19 vaccine among those with low/uncertain intent
| Category |
Example | Number | Percent |
|---|---|---|---|
| Subcategory | |||
| Contextual influences | 84 | 16.8% | |
| Communication (distrust) | “Lack of trust and transparency” | 2 | 0.4% |
| Historical Influences | “The history of African Americans and experiments” | 5 | 1.0% |
| Politics and Government | “This presidential administration cannot be trusted” | 63 | 12.6% |
| Pharma | “Issues with pharma” | 8 | 1.6% |
| Religion | “Religious preference” | 6 | 1.2% |
| Individual and Group Influences | 110 | 22.0% | |
| Knowledge | “Don’t know enough about it” | 22 | 4.4% |
| Beliefs and Attitudes about Health, Prevention, Susceptibility | “I do not get vaccines for any reason” | 23 | 4.6% |
| Perceptions toward Vaccine | “I would not because a tracking chip may be in it” | 65 | 13.0% |
| Vaccine and Vaccination Specific Issues | 305 | 61.1% | |
| Costs | “Cost” | 1 | 0.2% |
| Recommendations and their strength | “If it is not recommended by medical authorities” | 17 | 3.4% |
| Reliability of vaccine/research process | “Has not been tested enough. Rushing the process” | 166 | 33.3% |
| Introduction of a new vaccine | “It will have to be around for years” | 14 | 2.8% |
| Risk/Benefit | “Not safe yet. Not proven to help yet” | 107 | 21.4% |