Strategies to improve end-of-life decision-making and palliative care following hip fracture in frail older adults: a scoping review
Bibliographic record
Abstract
BACKGROUND: Although surgery is the gold standard following a hip fracture, the potential for rehabilitation and survival rates are low in frail older patients. Some patients may derive more benefit from palliative care. The objectives of this review were to identify the available strategies to improve end-of-life decision-making and palliative care for frail patients with hip fractures and to synthetise their level of support. METHODS: We conducted a scoping review of the scientific and grey literature, searching seven databases and websites of associations. We included all study designs, expert opinion articles and clinical practice guidelines (CPGs). Data were synthetised according to the Approach to Patient with Limited Life Expectancy and Hip Fracture framework. The number of research items and their level of evidence were tabulated for each of the recommended strategies. RESULTS: Of the 10 591 items identified, 34 were eligible. The majority of included articles were original research studies (n = 15). Half of the articles and CPGs focused on intervention categories (55%) such as goals of care discussion and comfort care, followed by factors to consider in the end-of-life decision-making process (25%) and prognosis assessments (20%), mainly through the estimation of life expectancy. The level of evidence for these strategies remains low, given the limited number of prospective studies supporting them. CONCLUSIONS: This scoping review highlighted that end-of-life care in frail older patients with a hip fracture remains understudied. The strategies identified could be prioritised for future research to improve the well-being of the target population while promoting sustainable resource management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.000 | 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".