Moving cautiously: Public involvement and the health technology assessment community
Bibliographic record
Abstract
OBJECTIVES: This study explores the factors that enhance or reduce the prospects for public involvement in the activities of health technology assessment (HTA) agencies. METHODS: The analytical framework for this study is based on the work of John W. Kingdon, which provides a comprehensive synthesis of the factors influencing governments and public organizations' agenda. The study draws insights from forty-two semistructured telephone interviews with informants involved in international HTA networks and/or in HTA agencies in Canada, Denmark, and the United Kingdom. RESULTS: This exploratory study suggests that the HTA community is moving toward greater public involvement. However, the HTA community remains cautious and ambivalent about the technical feasibility of public involvement, its acceptability to policy makers and practitioners, and its impacts on HTA agencies' resources and procedures. CONCLUSIONS: The study stresses the importance of conducting rigorous and compelling evaluations to inform HTA agencies' decision to adopt, or reject, public involvement practices.
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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 | 0.025 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".