Ethical Challenges Related to Patient Involvement in Health Technology Assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Including information and values from patients in HTA has the potential to improve both the process and outcomes of health technology policy decisions. Accordingly, funding and structural incentives to include patients in HTA activities have increased over the past several years. Unfortunately, these incentives have not yet been accompanied by a corresponding increase in resources, time, or commitment to responsiveness. In this Perspectives piece, we reflect on our collective experiences participating in, conducting, and overseeing patient engagement activities within HTA to highlight the ethical challenges associated with this area of activity. While we remain committed to the idea that patient engagement activities strengthen the findings, relevance, and legitimacy of health technology policy, we are deeply concerned about the potential for these activities to do ethical harm. We use this analysis to call for action to introduce strong protections against ethical violations that may harm patients participating in HTA engagement activities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 it