“They heard our voice!” patient engagement councils in community-based primary care practices: a participatory action research pilot study
Bibliographic record
Abstract
BACKGROUND: Patient engagement could improve the quality of primary care practices. However, we know little about effective patient engagement strategies. We aimed to assess the acceptability and feasibility of embedding advisory councils of clinicians, managers, patients and caregivers to conduct patient-oriented quality improvement projects in primary care practices. METHODS: Using a participatory action research approach, we conducted our study in two non-academic primary care practices in Quebec City (Canada). Patient-experts (patients trained in research) were involved in study design, council recruitment and meeting facilitation. Advisory councils were each to include patients and/or caregivers, clinicians and managers. Over six meetings, councils would identify quality improvement priorities and plan projects accordingly. We assessed acceptability and feasibility of the councils using non-participant observations, audio-recordings and self-administered questionnaires. We used descriptive analyses, triangulated qualitative data and performed inductive thematic analysis. RESULTS: Between December 2017 and June 2018, two advisory councils were formed, each with 11 patients (36% male, mean age 53.8 years), a nurse and a manager practising as a family physician (25% male, mean age 45 years). The six meetings per practice occurred within the study period with a mean of eight patients per meeting. Councils worked on two projects each: the first council on a new information leaflet about clinic organization and operation, and on communications about local public health programs; the second on methods to further engage patients in the practice, and on improving the appointment scheduling system. Median patient satisfaction was 8/10, and 66.7% perceived councils had an impact on practice operations. They considered involvement of a manager, facilitation by patient-experts, and the fostering of mutual respect as key to this impact. Clinicians and managers liked having patients as facilitators and the respect among members. Limiting factors were difficulty focusing on a single feasible project and time constraints. Managers in both practices were committed to pursuing the councils post-study. CONCLUSION: Our results indicated that embedding advisory councils of clinicians, managers, patients and caregivers to conduct patient-oriented quality improvement projects in primary care practices is both acceptable and feasible. Future research should assess its transferability to other clinical contexts.
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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 | 0.056 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".