‘Spending the day with your Family Health Team’: rapid ethnography of a patient-centred quality improvement event
Bibliographic record
Abstract
BACKGROUND: Primary care practices have started to explore different methods of engaging with patients to advance quality improvement. This approach leverages the strengths of citizen engagement; however, there has been a lack of empirical research to understand the impact of such an approach from the patient perspective. AIM: To understand how citizen engagement can inform quality improvement in family practice. DESIGN & SETTING: A single-centre, rapid ethnographic evaluation of a patient engagement event. METHOD: Ten thousand email invitations were sent and posters put up in Family Health Team (FHT) waiting rooms, resulting in 350 patient responses and the purposive recruitment of 36 participants. Observation and key informant interviews were used to collect data. The data corpus was analysed according to ethnographically-informed thematic analysis techniques. RESULTS: Analysis of the full set of field notes, patient interviews, and informal conversations with the FHT staff revealed three factors that impacted on the success of the patient engagement event: setting the stage, the power of storytelling, and the value of reframing the patient role. CONCLUSION: The present study highlights three components of patient and public engagement approaches - the importance of setting the proper stage, storytelling as a tool, and reframing the patient role in healthcare delivery - which may provide useful guidance to those considering similar patient and public engagement events.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".