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Record W2943343478 · doi:10.1215/03616878-7530825

“Getting to the Table”: Changing Ideas about Public and Patient Involvement in Canadian Drug Assessment

2019· article· en· W2943343478 on OpenAlexaffabout
Katherine Boothe

Bibliographic record

VenueJournal of Health Politics Policy and Law · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLegitimacyContext (archaeology)Public healthPublic relationsAccountabilityPolitical sciencePublic involvementMedicinePsychologyNursingPoliticsLaw

Abstract

fetched live from OpenAlex

CONTEXT: Involving patients and the public in health policy may contribute to legitimacy and accountability. However, tensions may arise between paradigms of scientific-evidence-based decision making and new ideas valuing inclusivity and patient experience when evaluating and allocating health resources. This article asks whether 10 years of experience with public and patient involvement in Canadian drug assessment has affected participants' ideas about how it works. METHODS: The author surveyed the ideas of participants in the drug assessment process (members of expert committees, officials, and patient groups) as described in reports and hearings in 2005, 2007, and 2012 and conducted interviews in 2014 and 2016. FINDINGS: The author found some consensus across groups of participants regarding the broad goals of health technology assessment (HTA) and the validity of some form of public and patient involvement. There were also important areas of disagreement and uncertainty about how public and patient involvement should be used in drug assessment and how much impact it has on deliberations and recommendations. Overall, uncertainly about the specific role for public and patient involvement in HTA limits the potential for ideational change among participants. CONCLUSIONS: These findings have implications for evaluation of public and patient involvement, the way we understand ideational change, and practical questions of communicating health resource decisions.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.097
GPT teacher head0.429
Teacher spread0.332 · 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 teacher head, 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

Citations19
Published2019
Admission routes2
Has abstractyes

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