<b>P-173</b> The hospice friendly hospitals programme in ireland
Bibliographic record
Abstract
Background Almost 30,000 people die in Ireland each year. 43% of people in Ireland die in acute hospitals; that’s around 35 people every day. The Irish Hospice Foundation identified a deficit in the care of patients and their families at the end of life and in 2007 established the Hospice Friendly Hospitals (HFH) Programme in partnership with Ireland’s National Health Service Executive. The programme was established in order to introduce hospice principles into hospital practice Aim The HFH Programme seeks to ensure that end of life, palliative and bereavement care is central to the everyday business of Irish hospitals. Methods The HFH Programme designed a suite of quality improvement interventions for hospital staff. The programme Developed the Quality Standards for End of Life Care and a suite of guidance documents for hospital staff. Improved the culture of end-of-life care through education initiatives, a national nurse practice development programme and promotion of symbolic resources. Influenced the health system to raise the profile of end of life care by establishing. End-of-Life Care Coordinator posts. End-of-Life Care/Bereavement Care Committees in hospitals. Three national leadership networks for hospital staff. Results Over 40 public and private hospitals are linked to the HFH Programme. This represents over 90% of public hospitals in Ireland. Palliative, end-of-life and bereavement care is a core component of hospital operational plans. Hospitals have established a governance structure (committee) to oversee quality improvement projects. Symbolic resources e.g. the end-of-life symbol are used widely. Over 20 refurbishment projects complete e.g. mortuaries, family rooms, bereavement suites through the Design & Dignity Grants Scheme. The Quality Standards for End of Life Care underpin new national standards for bereavement care in maternity settings. The HFH Programme is working with organisations in Northern Ireland, the UK and Canada to disseminate learning.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.085 | 0.016 |
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".