A Framework for Supporting Post-acute Care Transitions of Older Patients With Hip Fracture
Bibliographic record
Abstract
OBJECTIVE: Improving care transitions is of critical importance for older patients, especially those with complex care needs. Our study examined the "Transitions of Care" (ToC) of complex, post-acute older adults at multiple time points. The objective of this article is to identify domains relevant to health care transitions of post-acute older patients with hip fracture so as to inform future ToC interventions. DESIGN: Here we conducted a framework-based synthesis of the 12 peer-reviewed manuscripts that were published from our multisite, ethnographic study. SETTING AND PARTICIPANTS: All 12 manuscripts were based on 1 study, described here. Data were collected in multiple regions, in acute and sub-acute care wards, rehabilitation programs, home care agencies, long-term care and assisted living facilities, and patients' private homes. We completed 51 interviews with 23 postoperative hip fracture patients aged ≥65 years, 24 interviews with 19 family caregivers, and 96 interviews with 92 health care providers. Interviews with patients, family caregivers, and health care providers were conducted at each transition point for a total of 171 individual interviews. RESULTS: Taken together, our framework analysis of the 12 manuscripts identified 8 themes related to ToC. Two themes, patient complexity and system constraints, are contextual factors that tend to impede ToC and may be less amenable to change. The remaining 6 themes, patient involvement and choice, family caregiver roles, strong relationships, coordination of roles, documentation, and information sharing, have the potential to support and improve ToC. CONCLUSIONS AND IMPLICATIONS: With comprehensive data from a range of stakeholders, collected at multiple transition points along the health care continuum, in our final 6 themes we identify potential points of intervention for clinicians and teams seeking to improve ToC for older complex patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".