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Record W3085584706 · doi:10.1177/2374373520956538

People With Lived Experience at the Centre of Canadian Stroke Best Practice Recommendations: A Model for Guideline Developers

2020· article· en· W3085584706 on OpenAlexafffundabout
M. Patrice Lindsay, Natalie Gierman, Jocelyn E. Harris, Gavin Arthur, Moira Teed, Anita Mountain, Gordon Gubitz, Eric E. Smith, Dar Dowlatshahi, Andrea de Jong, Leigh C.P. Botly

Bibliographic record

VenueJournal of Patient Experience · 2020
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsOttawa HospitalUniversity of CalgaryMcMaster UniversityDalhousie UniversityHeart and Stroke Foundation
FundersHeart and Stroke Foundation of Canada
KeywordsGuidelineBest practiceStroke (engine)Medical educationMedicinePsychologyNursingEngineeringPolitical science

Abstract

fetched live from OpenAlex

Actively engaging people with lived experience (PWLE) in stroke-related clinical practice guideline development has not been effectively implemented. This pilot project evaluated the feasibility, perceived value, and effectiveness of the Community Consultation and Review Panel (CCRP), a new model to engage PWLE in the writing and review of Canadian Stroke Best Practice Recommendations. Responses to a standardized evaluation tool indicated that participants perceived the CCRP as valued, impactful, effective, and beneficial to stroke care. This project successfully demonstrated that values, experiences, and recommendations of PWLE can be effectively incorporated into guideline content and is applicable to all guideline development processes.

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)0.046
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0130.014
Scholarly communication0.0100.008
Open science0.0040.019
Research integrity0.0030.005
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 head0.242
GPT teacher head0.454
Teacher spread0.212 · 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 designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations16
Published2020
Admission routes3
Has abstractyes

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