Bibliographic record
Abstract
Bed crises are now commonplace in our acute hospitals. Patients regularly wait in crowded emergency departments, breaching the four-hour target because of lack of available acute medical inpatient beds. There has been a year on year increase in emergency medical admissions and hospitals have consistently high bed occupancies. A common short-term solution to the problem is to ‘board out’ patients from medical wards to surgical wards or even temporarily to day units to facilitate patients to be transferred out of the emergency department. However such non-clinical patient moves can be harmful. They predominantly affect older, frailer patients, and increase the risk of falls, delirium, medication errors and extend length of stay. Furthermore, they may disrupt arrangements for a complex discharge at a crucial time. Ninety-two percent of doctors would refuse to have their relatives boarded on a different ward. One-quarter of nurses responding to a Royal College of Nursing Scotland survey (152 respondents) reported that patients who were being appropriately cared for on their last night were moved to an inappropriate ward not equipped or staffed for the specialist monitoring and interventions required for their condition. Doctors become involved in undocumented decisions to board out patients to create extra medical bed capacity. Consultants in particular find themselves walking a tightrope with person-centred care and professionalism on one side and the realities of running an acute service on the other. The four-hour target for assessment and transfer or discharge from emergency departments was introduced in 2004 with the intention of improving the quality of emergency care and is a major driver in the UK. However, targets can have unintended effects such as increasing emergency department attendances and distorting clinical priorities. There is a relationship between crowding in emergency departments and increased mortality. This does not necessarily denote direct cause and effect and it is possible that the overcrowding could at least be partly due to an influx of older, sicker patients. However, there are obviously many other factors involved. Crowded emergency departments result in lower quality of care – delays in analgesia, antibiotic treatment, thrombolysis in stroke and percutaneous coronary intervention. Patients admitted through crowded emergency departments have longer hospital stays. Crowded emergency departments also harm staff with increased absenteeism, staff sickness, burn out and poor recruitment. A stated aim of the NHS is to become more person-centred. Patient autonomy is central to person-centred care. It is difficult to justify moving patients for non-clinical reasons as patient-centred. It is a paradox that we respect a patient’s autonomy when a patient wishes to discharge themselves unwisely against medical advice but not to allow them to choose to remain on a medical specialist ward when it is clearly in their best interests. Unfortunately, NHS bed pressures can sometimes be a potential barrier to the worthy aim of providing person-centred care. The Royal College of Physicians Future Hospital Commission report recommends that patients should not be moved between wards unless it is necessary for clinical care. It also defines the modern principles of medical professionalism. Professionalism is a partnership between patient and doctor based on mutual respect, individual responsibility and accountability. Professionals should make decisions with patients, maintaining trust and integrity. Virtue ethics links closely with the ideals of modern professionalism and helps find solutions to complex clinical problems. Virtue ethics emphasises virtues such as compassion and truthfulness or moral character, in contrast to an approach that emphasises duties or rules (deontology) or one that emphasises the consequences of actions (utilitarianism) Utilitarianism offers little protection for the vulnerable in our hospitals. Moving patients, especially if
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".