OP114 The Public's Role In Understanding The Value Of Health Technologies
Bibliographic record
Abstract
Introduction: Increasingly, health technology assessment (HTA) organizations have instituted mechanisms for involving patients in assessment and review processes. The reasons are obvious—to understand the “patient experience” with a disease and to ensure that patient perspectives are considered during deliberations about the value of new treatments. More recently there have been efforts to engage the public in HTAs and HTA-informed decision-making processes. However, the goals of these efforts have not been well articulated. This may be attributable to the lack of a shared definition of “the public”. The objective of this study was to develop a common understanding of the term “the public” within the context of HTA. Methods: The following were conducted: a survey of HTA organizations; a systematic review; consultation with Health Technology Assessment international's Special Interest Group on Patient and Citizen Involvement; and a workshop comprising representatives from patient organizations, industry, and HTA bodies in Canada. Results: In many HTA processes, the terms “public” and “patients” are synonymous. Definitions found in scholarly articles vary and depend on the rationale for involving the public in a particular issue. Through consultations it became clear that, in the context of HTA, the definition depends on understanding what is missing from current deliberations around the value of new health technologies. There was consensus among workshop participants that: (i) “patients” and “the public” are not the same; (ii) the role of the public may be to ensure societal values are reflected in HTAs and HTA-informed decision-making processes (e.g. serving an audit function); and (iii) a legitimate definition of “the public” could be: “A non-aligned community member with no commercial or professional interest in the HTA process who is not a patient or member of a stakeholder group”. Conclusions: Consensus on the use of the terms “patient” and “public” will support rigorous, evidence-based public and patient engagement in HTA. The proposed definition indicates a way forward in this debate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.066 | 0.103 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.038 |
| Scholarly communication | 0.025 | 0.020 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".