Meaningful Partnerships: Stages of Development of a Patient and Family Advisory Council at a Family Medicine Residency Clinic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Partnering with patients and families is a crucial step in optimizing health. A patient and family advisory council (PFAC) is a group of patients and family members working together collaboratively with providers and staff to improve health care. OBJECTIVE: This study aimed to describe the creation of a PFAC within a family medicine residency clinic. To understand the successful development of a PFAC, challenges, potential barriers, and positive outcomes of a meaningful partnership will be reported. METHODS: The stages of PFAC development include leadership team formation and initial training, PFAC member recruitment, and meeting launch. Following a description of each stage, outcomes are outlined and lessons learned are discussed. PFAC members completed an open-ended survey and participated in a focus group interview at the completion of the first year. Interviewees provided feedback regarding (1) favorite aspects or experiences, (2) PFAC impact on a family medicine clinic, and (3) future projects to improve care. Common themes will be presented. RESULTS: The composition of the PFAC consisted of 18 advisors, including 8 patient and family advisors, 4 staff advisors, 4 resident physician advisors, and 2 faculty physician advisors. The average meeting attendance was 12 members over 11 meetings in the span of the first year. A total of 13 out of 13 (100%) surveyed participants were satisfied with their experience serving on the PFAC. CONCLUSIONS: PFACs provide a platform for patient engagement and an opportunity to drive home key concepts around collaboration within a residency training program. A framework for the creation of a PFAC, along with lessons learned, can be utilized to advise other residency programs in developing and evaluating meaningful PFACs.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it