MétaCan
Menu
Back to cohort
Record W2604522437 · doi:10.1177/0840470416678233

The Patients as Partners Movement and the emerging health leader

2017· article· en· W2604522437 on OpenAlexaffabout
Melinda Young

Bibliographic record

VenueHealthcare Management Forum · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsBP (Canada)
Fundersnot available
KeywordsMentorshipMindsetPaternalismPublic relationsHealth careKey (lock)Movement (music)NursingPsychologyMedical educationBusinessMedicinePolitical science

Abstract

fetched live from OpenAlex

Over the past decade, the Patients as Partners Movement has spread throughout healthcare systems across Canada. This movement aims to overcome the paternalistic approach, where the system and its providers act for or deliver services to the patient. Instead, decision-making at all levels is to be shared with the patient. Delivering patient- and family-centred care is the goal of the Patients as Partners Movement and authentic engagement is at its core. This article aims to explore the link between the Patients as Partners Movement and authentic engagement. It will then outline how senior leaders can capitalize on the mindset of emerging leaders and support their development through mentorship and encouraging skill-building in key competencies related to authentic engagement. Support in these areas by senior leaders is suggested to enable the retention and development of a powerful generation of health system leaders who view patients as their partners.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.015
Scholarly communication0.0100.005
Open science0.0010.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.152
GPT teacher head0.476
Teacher spread0.325 · 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 designTheoretical or conceptual
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
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueHealthcare Management ForumSame topicMental Health and Patient InvolvementFrench-language works237,207