Five opportunities for healthcare leaders to better support person- and family-centred care in long-term care settings
Bibliographic record
Abstract
The benefits of Person- and Family-Centred Care (PFCC) are well documented, and many healthcare organizations have expressed their commitment to take this approach. Yet, it can be a difficult endeavour, with common barriers identified at the point-of-care, organizational and system levels. We implemented a PFCC education program with healthcare leaders, providers, and support staff working in home, community, and long-term care organizations across Canada. Focus groups were then conducted with almost 200 workshop participants and 20 long-term care home residents and family members. Five key opportunities for healthcare leaders to better support the provision of PFCC were revealed. In this article, specific recommendations from focus group participants for addressing each of these five opportunities are provided. These findings can assist healthcare leaders to proactively ensure the supports and processes are in place to enable staff to provide care in a more person- and family-centred way.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".