Discharge decision‐making with older people: The influence of the institutional environment
Bibliographic record
Abstract
Background/Aim: Occupational therapists often participate in decision‐making about postdischarge accommodations. This paper presents the findings of a study that identified and explored institutional factors influencing discharge accommodation decision‐making with older people, from the perspective of occupational therapists. Methods: Qualitative, semistructured, face‐to‐face interviews were conducted with 10 occupational therapists. Interviews were recorded, transcribed, coded and analysed for the presence and emergence of themes. Results: Decision‐making processes were influenced by the institutional environment. The medical model and pressure for fast decisions seemed to impede client‐centred processes in acute settings. Conclusions: When possible, decision‐making about long‐term care needs to occur in community or longer‐stay rehabilitation settings that allow time for negotiated client‐centred processes.
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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 | 0.001 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".