Exploring the influence of behavioural, normative and control beliefs on intentions to adhere to public health guidelines during the COVID-19 pandemic: a qualitative interview based study
Bibliographic record
Abstract
Abstract Background Perceived severity and susceptibility of disease are predictors of individual behaviour during health crises. Little is known about how individual beliefs influence intentions to adhere to public health guidelines during periods of health crises, and how access to and consumption of information influence these intentions. This study investigated behavioural beliefs, normative beliefs, and control beliefs, and their influence on behavioural intentions to adhere to public health guidelines during the COVID-19 pandemic. Methods Participants were recruited from a related COVID-19 study conducted by our team, and through snowball sampling in subsequent. Using a maximum variation sampling technique, we recruited a diverse group of participants representing six major regions in Canada. Participants took part in one-on-one semi-structured interviews from February 2021 to May 2021. Data were analyzed independently in duplicate by thematic analysis. The Theory of Planned Behaviour (TPB) was the conceptual framework used to organize dominant themes. Results We conducted a total of 60 individual interviews (137 eligible individuals contacted, 43.8% response rate) and identified six themes organized according to the three constructs of behavioural, normative and control beliefs as described in the TPB: (1) Behavioural: My “New Normal,” Individual Rights and Perceived Pandemic Severity, Fatigue with COVID-19, (2) Normative: COVID-19 Collective, (3) Control: Practicality of Public Health Guidelines, and (6) Conflicting Public Health Messages. Most (n = 43, 71.7%) participants perceived individuals in their geographic community to be following public health guidelines adequately. Several participants (n = 15, 25.0%) commented on the unequal impact of restrictions based on socioeconomic factors (i.e., class, race, age). Conclusion Individual perceptions of risk, loss of control, access to resources (i.e., childcare), and societal expectations, shaped intentions to engage in disease preventative behaviours (i.e., social distancing) during the COVID-19 pandemic.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".