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Record W4381730446 · doi:10.56885/vcza1921

Shared Decision-Making: The Norm, Not the Exception, in Prevention and Management of Wounds

2023· article· en· W4381730446 on OpenAlexaboutno aff
Virginie Blanchette, Maya Fakhfakh, Janet L. Kuhnke, France Légaré

Bibliographic record

VenueWound Care Canada · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Norm (philosophy)Health careAction (physics)Action planNursingMedicinePsychologyPublic relationsPolitical scienceComputer scienceManagementComputer security

Abstract

fetched live from OpenAlex

A Key For Patient-centered Care And EngagementIn the current Canadian health-care landscape, patients increasingly seek to take an active role in decisions related to their health.1 Patientcentered care (PCC) emphasizes the importance of engaging patients and their caregivers in the decision making processes and taking time to understand their needs, priorities and preferences.2,3 Moreover, informed patient preferences are seen as the optimal objective, as this tends to lead to more realistic expectations and a better understanding of the positive and negative consequences of the plan.4 A call to action for PCC and shared decision making for wound care (prevention, assessment, treatment and management) highlights the importance of providing sufficient information to enable patients and caregivers to play an active part in their care planning.This engagement supports transparency in infor-

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)0.122
metaresearch head score (Gemma)0.183
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.122
Threshold uncertainty score0.646

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1220.183
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0190.054
Scholarly communication0.0250.018
Open science0.0040.026
Research integrity0.0090.025
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 head0.110
GPT teacher head0.402
Teacher spread0.292 · 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 designObservational
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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueWound Care CanadaSame topicPatient-Provider Communication in HealthcareFrench-language works237,207