Assessing the impact of deliberative processes on the views of participants: is it ‘in one ear and out the other’?
Bibliographic record
Abstract
BACKGROUND: Interest in citizens' juries for eliciting the views of the public to inform coverage decisions on new health technologies has grown. However, evaluative information, particularly regarding their short- and/or longer-term impact on participants' views is limited. As citizens' juries can be resource intensive, such information is required to make 'evidence-based' decisions about their use. OBJECTIVES: To assess the impact of citizens' juries on participants' preferences for the distribution of health care across populations over time. SETTING AND PARTICIPANTS: Two citizens' juries, involving a different representative sample of the public, were held. Participants completed identical questionnaires before (T1), directly after (T2) and 6 weeks following the jury (T3). Questionnaires comprised rating, ranking and choice-based questions related to four characteristics of competing patient populations (age, current health, life expectancy without treatment and health gain resulting from an intervention). Semi-structured telephone interviews were also conducted to explore the impact of the jury on participants' distributive preferences. Changes in responses to the self-administered survey over the three time points were assessed quantitatively, while interview questions were analysed using qualitative techniques. RESULTS: No significant differences in responses to rating questions were observed. Pre/post-jury changes in the rankings of two factors were statistically significant in one of the juries. However, in both juries, T1-T2 changes in responses to several of the choice-based questions reached statistical significance. The number was lower between T2 and T3, suggesting that jurors retained their views. According to findings from the interviews, jurors' views changed or were clarified through participation in the jury. CONCLUSIONS: There appears to be evidence suggesting that the views of individuals who participate in citizens' juries change as a result of the experience, and those 'informed' views are sustained.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".