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Record W2075098572 · doi:10.12927/hcpol.2013.22882

Health Technology Assessment and the Media: More Compatible than One May Think?

2012· article· en· W2075098572 on OpenAlexafffundvenueabout
Myriam Hivon, Pascale Lehoux, Melanie Rock, Jean‐Louis Denis

Bibliographic record

VenueHealthcare policy · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsHealth Sciences CentreUniversité de Montréal
FundersCanadian Institutes of Health ResearchFondation pour la Recherche Médicale
KeywordsMedicineGynecologyPublic healthHealth technologyHumanitiesPolitical scienceHealth carePathologyPhilosophy

Abstract

fetched live from OpenAlex

While the Health Technology Assessment (HTA) community has acknowledged the importance of public and consumer involvement in the HTA process, very few studies have examined how technology-related findings may be reported by the media to the broader public. This paper compares the content of press articles with the content of three Canadian HTA reports that respectively assess electroconvulsive therapy, first-trimester prenatal screening for Down syndrome, and prostate-specific antigen screening for prostate cancer. We qualitatively and quantitatively analyzed 186 press articles addressing the same technologies. Our results show that beyond stylistic emphasis, there is an important overlap between media coverage of these technologies and the content of HTA reports. Findings also highlight shared interests on which both researchers and journalists could build to enhance the communication of health information to the public.

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)0.023
metaresearch head score (Gemma)0.117
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.117
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0150.017
Science and technology studies0.0040.016
Scholarly communication0.0290.045
Open science0.0010.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.404
GPT teacher head0.513
Teacher spread0.109 · 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 designQualitative
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

Citations1
Published2012
Admission routes4
Has abstractyes

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