Communicating about death and dying with adults with intellectual disabilities who are terminally ill or bereaved: A UK‐wide survey of intellectual disability support staff
Bibliographic record
Abstract
BACKGROUND: Illness and death are part of life for everyone, including people with intellectual disabilities. This study investigated the extent to which staff communicate about death with people with intellectual disability facing terminal illness or bereavement. METHOD: Staff who support people with intellectual disability in the UK (n = 690) completed an electronic survey. Detailed data were obtained from staff where a client had died in the past 12 months (n = 111), was terminally ill (n = 41) or had been bereaved (n = 200). Analysis included descriptive and chi-squared statistics. RESULTS: 52.6% of people with intellectual disability who were terminally ill were told about their illness, and 18.1% were told they would die. Of those experiencing an anticipated bereavement, 32.4% of staff said no one talked about this with them beforehand. A quarter of staff had received training on end of life or bereavement. CONCLUSION: Death affects many people with intellectual disability. Staff require training and support in communicating death.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".