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Record W4312155630 · doi:10.1017/s0266462322002471

PP126 Direct Patient Involvement In HTA In Canada And Brazil: The Patients’ Perspectives

2022· article· en· W4312155630 on OpenAlexaboutno aff
Aline Silveira Silva, Paula Orecklin, Sílvia Ferrite

Bibliographic record

VenueInternational Journal of Technology Assessment in Health Care · 2022
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsStrengths and weaknessesAgency (philosophy)Diversity (politics)MedicineWork (physics)Public relationsPolitical sciencePsychologyMedical educationSociologySocial psychology

Abstract

fetched live from OpenAlex

Introduction Since 2019, Canada’s Drug and Health Technology Agency (CADTH) has worked directly with patients through its Patient and Community Advisory Committee (PCAC). In Brazil, Conitec has worked directly with patients since 2021 through testimonials in its committee meetings for all assessed technologies. In this study we explored patients’ perspectives about their participation in these processes. Methods Two patients directly involved with both CADTH and Conitec were invited to share their perspectives about the strengths and weaknesses of the patient engagement processes. Results For CADTH, the strengths were as follows: PCAC focuses on the whole organization, including the patient engagement strategy and strategic plan, and is on the same level as other professional committees; PCAC members are compensated; the ‘Learning Sessions’ show CADTH staff the ramifications of their work in people’s lives; and there is increased patient engagement on other committees throughout CADTH. The weaknesses identified with the CADTH process were that PCAC is an advisory body with no decision-making authority and that the diversity of people on the PCAC could be increased. In addition, while CADTH informs and consults patients, the PCAC is not involved in individual HTAs. The strengths of Conitec’s process were that the volunteer is selected by patients; there are opportunities to consolidate direct patient involvement and promote it in other instances; and the technical support is excellent. On the downside, there was a lack of information about this opportunity; the testimonials last only ten minutes and patients are frequently not questioned; only one patient can participate; there is a lack of transparency about testimonial analysis and its role; and being the only representative during a discussion that culminates in a decision can cause anxiety about performance. Conclusions Patients felt heard in the engagement processes and stated that the PCAC embeds patient perspectives throughout CADTH, not just in particular HTAs. One patient felt that her participation was essential for the committees to understand patients’ lived experiences.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0180.009
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.400
Teacher spread0.365 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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