Evaluation of an advisory committee as a model for patient engagement
Bibliographic record
Abstract
Patient engagement (PE) is not well defined and little guidance is available to those attempting to employ PE in decision-making relevant to health system improvement. After completing a 2-year PE project, overseen by an Advisory Committee, our objectives were: 1) to evaluate how effectively the project team engaged the Advisory Committee, 2) to examine how Advisory Committee members perceived PE and their role in PE, and 3) to identify barriers and facilitators to PE in order to improve future efforts. Five members of the Advisory Committee completed semi-structured interviews post-project about their experiences. Thematic analysis identified four themes: the approach, participant contributions, participant understanding of PE, and barriers and facilitators to PE. The use of a committee approach was considered beneficial, providing an opportunity to discuss the project in depth, contributing to relationship building, and helping move the project forward. The social aspect of the committee approach was an important part of the engagement process. Participants felt they contributed primarily by participating in discussion, yet could not identify specific contributions they had made. All participants agreed that the experience was meaningful but not profound with regard to how it would impact their engagement, or their engagement of others, in the future. Although experiences were highly subjective, this study suggests that the act of participating in PE has meaning in and of itself to those involved, independent of the activities and/or outcomes of that participation, reflecting a broader public value that PE is an important component of transparent, accountable health systems.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.144 | 0.175 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".