Examining “success” in post-hip fracture care transitions: A strengths-based approach
Bibliographic record
Abstract
Transitions between health care settings are a high-risk period for care quality and patient safety (Coleman, 2003; Picker Institute, 1999), particularly for older patients - such as those with hip fracture - who have complex needs and may undergo multiple care transitions. We sought to understand the key elements of "success" in care transition. Using a strengths-based perspective (Rapp, 1998; Saleebey, 2006), we focused on interprofessional health care providers' perspectives of what constitutes a "good" care transition for elderly hip fracture patients. As part of a larger ethnographic field study, semi-structured interviews were conducted with 17 health providers across a number of disciplines employed across the continuum of post-hip fracture management in British Columbia, Canada. We found two hallmarks of "success" in care transitions: a focus on process - information gathering and communication, and a focus on outcomes - autonomy and care pathways. Strategies for promoting and improving success, such as using practitioner-driven ground-up solutions to address challenges in care transitions, are highlighted.
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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) | 0.000 | 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) | 0.000 | 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".