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Record W3125514362

The Patient's Voice: Patient Involvement in Medical Product Regulation

2016· article· en· W3125514362 on OpenAlexaff
Barbara von Tigerstrom

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAgency (philosophy)Context (archaeology)Public relationsScholarshipFood and drug administrationProduct (mathematics)Political scienceBusinessPublic administrationMedicineSociologyPharmacologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Authorities responsible for regulating medicines and other medical products continue to expand opportunities for direct participation of patients and their representatives in regulatory processes. For example, patient representatives can participate as members of scientific committees and provide input in various ways. This article examines the current framework and recent initiatives for such participation in the US Food and Drug Administration and European Medicines Agency. It draws from scholarship on public and patient participation in other contexts to describe and clarify the purposes and roles of patient involvement and to identify issues needing attention in the development of these initiatives, including systemic factors that may impede the ability of patient representatives to fulfill their roles effectively. It also considers convergent efforts to engage patients in research and development that could alleviate some of these difficulties and provide an opportunity to rethink the goals and methods of patient involvement in a larger context.

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)0.040
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.058
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.018
Scholarly communication0.0110.009
Open science0.0020.016
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.364
Teacher spread0.313 · 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 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

Citations1
Published2016
Admission routes1
Has abstractyes

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