Informing efforts beyond tailored promotional campaigns by understanding contextual factors shaping vaccine hesitancy among equity-deserving populations in Canada: an exploratory qualitative study
Bibliographic record
Abstract
BACKGROUND: Vaccine hesitancy exists on a continuum ranging between complete adherence and complete refusal due to doubts or concerns within a heterogeneous group of individuals. Despite widespread acknowledgement of the contextual factors influencing attitudes and beliefs shaping COVID-19 vaccine hesitancy, qualitative research with equity-deserving groups, accounting for unique lived experiences, remains a gap in the literature. We aim to identify and begin to understand and document the unique contextual factors shaping hesitancy by equity-deserving groups as it relates to relationships with government and health authorities. METHODS: Participants were recruited and interviewed between Aug-Dec 2021. Semi-structured interviews using a convergent interviewing technique were conducted with individuals from the general population, as well as individuals who identify as First Nations, Métis, or Inuit, members of the LGBT2SQ + community, low-income Canadians, Black Canadians, and newcomers. Interviews were audio recorded and transcribed by a team of researchers. Memos were written following interviews and used to complement the thematic analysis of the interview data. Themes are presented in the results section. RESULTS: The rationale for hesitancy among equity-deserving groups is consistent with literature documenting hesitancy in the general population. Contextual factors surrounding equity-deserving groups' attitudes and beliefs, however, are unique and relate to a history of oppression, discrimination, and genocide. We identified factors unique to subgroups; for example, religious or fatalistic beliefs among participant who identify as FNMI, fear associated with lack of testing and speed of vaccines' production among participants who identify as FNMI, Black, and LGBT2SQ + , distrust of the healthcare system for LGBT2SQ + and Black Canadians, and distrust of the government and opposition to vaccine mandates for participating who identify as LGBT2SQ + , low-income, FNMI, or Black Canadian. Newcomers stood out as very trusting of the government and accepting of COVID-19 vaccination. CONCLUSIONS: While our data on vaccine hesitancy largely mirror concerns reported in the vast body of literature citing rationale for COVID-19 hesitancy in high-income countries, the contextual factors identified in our work point to the need for wider systemic change. Our results may be used to support efforts, beyond tailored promotion campaigns, to support the confident acceptance of vaccines for COVID-19 and the acceptance of novel vaccines as future infectious diseases emerge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".