PP193 How Does HTA Address Social Expectations Now? An International Survey.
Bibliographic record
Abstract
Introduction After surveying its members on ethical issues (2003), the International Network of Agencies for Health Technology Assessment (INAHTA) mandated its Ethics Working Group (2005) to reflect on the role of health technology assessment (HTA) organizations in meeting social expectations. Some aspects of these have since been clarified by two studies addressing either the official position of INAHTA's members or the publication authors. An international survey was carried out on the perception of HTA professionals’ expectations when producing HTA reports: how to fulfil HTA's social role, which value judgments should be made explicit and what should be the status of ethical analysis. Methods A twenty-two question, web-based, anonymous survey was devised from our recent systematic review on the integration of ethics into HTA and carried from April to July 2018. The information on 328 HTA agencies/contact persons from seventy-five countries was collected from the website of INAHTA, Health Technology Assessment International (HTAi), the European Network for Health Technology Assessment (EUnetHTA), EuroScan International Network, the HTA Network of the Americas (RedETSA) and the HTA Network of Asia (HTAsiaLink), a 2015 World Health Organization survey, HTAi members, and our local HTA network (Québec, Canada). Results Eighty-nine participants completed and submitted a finalized survey for a 27 percent participation rate representing thirty-three countries. Regarding how the HTA reports should fulfil their social role, our results showed that over 84 percent of the respondents agreed upon the necessity to address it to decision makers, patients and citizens. At a lower and more variable level, the same result was found about the necessity to make value judgements explicit in different sections of the report, including ethical analysis. This contrasts with the variability of responses obtained on the status of ethical analysis although an agreement on the expertise required was observed. Variability in the usefulness of patient, public or stakeholder participation was observed. Conclusions At the dawn of this decade, this study reveals high expectations on context-dependent decisions in HTA: the necessity to integrate the ‘explicitation’ of value judgements and systematic ethical analysis to fulfil HTA's social role.
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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 | 0.020 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".