Breaks in continuity of care and the rural senior transferred for medical care under regionalisation
Bibliographic record
Abstract
Continuity of care, defined as the patient experiencing coherent care over time and place, is challenged when a rural senior with multiple medical problems is transferred to a regional hospital for acute care. From an illustrative case of an older patient with pneumonia and atrial fibrillation, we catalogue potential breaks in continuity of care. Optimal continuity of care is characterised not only by regular contact with the providers who establish collaboration with patients and their caregivers, but also by communication, co-ordination, contingency, convenience, and consistency. Because it is not possible to have the same providers continuously available (relational continuity), for continuity of care, there is a need for integrative system approaches, such as: (1) policy and standards, disease management programs, integrated clinical pathways (management continuity), (2) electronic health information systems and telecommunications technology (communication continuity). The evaluation of these approaches requires measures that account for the multi-faceted nature of continuity of care.
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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 | 0.000 |
| 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".