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Record W2998479940 · doi:10.1017/s0266462319002782

PP193 How Does HTA Address Social Expectations Now? An International Survey.

2019· article· en· W2998479940 on OpenAlexaboutno aff
Hubert Gagnon, Christian Bellemare, Georges-Auguste Legault, Suzanne K. Bédard, Jean-Pierre Béland, Louise Bernier, Pierre Dagenais, Charles-Étienne Daniel, Danielle Tapin, Monelle Parent, Johane Patenaude

Bibliographic record

VenueInternational Journal of Technology Assessment in Health Care · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsHealth technologyPolitical sciencePublic relationsPosition (finance)MedicineBusinessHealth careLaw

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.060
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.193
GPT teacher head0.501
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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