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Record W2099615551 · doi:10.1017/s0266462309090369

History of the international societies in health technology assessment: International Society for Technology Assessment in Health Care and Health Technology Assessment International

2009· article· en· W2099615551 on OpenAlexaff
David Banta, Egon Jonsson, Paul Childs

Bibliographic record

VenueInternational Journal of Technology Assessment in Health Care · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsHealth technologyTechnology assessmentHealth carePolitical scienceEconomic growthMedicinePublic relationsLawEconomics

Abstract

fetched live from OpenAlex

The International Society for Technology Assessment in Health Care (ISTAHC) was formed in 1985. It grew out of the increasing awareness of the international dimensions of health technology assessment (HTA) and the need for new communication methods at the international level. The main function of ISTAHC was to present an annual conference, which gradually grew in size, and also to generally improve in quality from to year. ISTAHC overextended itself financially early in the first decade of the 2000s and had to cease its existence. A new society, Health Technology Assessment international (HTAi), based on many of the same ideas and people, grew up beginning in the year 2003. The two societies have played a large role in making the field of HTA visible to people around the world and providing a forum for discussion on the methods and role of HTA.

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)0.027
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.016
Science and technology studies0.0030.016
Scholarly communication0.0130.009
Open science0.0020.007
Research integrity0.0080.017
Insufficient payload (model declined to judge)0.0060.003

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 head0.137
GPT teacher head0.478
Teacher spread0.341 · 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.

Study designNot applicable
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".

Quick stats

Citations21
Published2009
Admission routes1
Has abstractyes

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Same venueInternational Journal of Technology Assessment in Health CareSame topicHealth Systems, Economic Evaluations, Quality of LifeFrench-language works237,207