Dying in a Nursing Home: Treatable Symptom Burden and its Link to Modifiable Features of Work Context
Bibliographic record
Abstract
IMPORTANCE: High-quality care at the end of life supports freedom from pain and other potentially burdensome symptoms. Lowering symptom burden at the end of life is an urgent and achievable goal in delivering services in nursing home settings. Few published reports describe symptom burden among older adults in nursing homes; none examine links between symptom burden and modifiable features of nursing home organizational context (work environment). OBJECTIVES: To examine the influence of organizational context on symptom burden and to compare symptom burden in the last year of life between nursing home residents with and without dementia. DESIGN: Retrospective analysis of longitudinal survey data. SETTING: A stratified random sample of 36 nursing homes in the Canadian provinces of Alberta, Manitoba, and Saskatchewan. PARTICIPANTS: A total of 2635 residents with dementia and 1012 without dementia; 1381 front-line care staff. MEASUREMENTS: (1) Trajectories of 6 symptoms (dyspnea, pain, pressure ulcers, urinary tract infections, challenging behavior, delirium), assessed with the Resident Assessment Instrument-Minimum Data Set, version 2.0, between 2008 and 2012. All residents received assessments in each quarter of the year before death. (2) Modifiable organizational context, assessed with the Alberta Context Tool. Hierarchical mixed model, repeated measures regression, to simultaneously evaluate effects of time, dementia, and context on symptom trajectories. RESULTS: For all residents, prevalence of symptoms increased over time. In the last quarter before death, challenging behavior was the most frequent symptom in the dementia group (40.2%), delirium the most frequent symptom in the nondementia group (31.0%), and urinary tract infections least frequent (9.0% to 10.0%). Facilities with more favorable context had significantly higher prevalence of challenging behavior and delirium and significantly lower use of antipsychotics without diagnosis of psychosis. CONCLUSION: Symptom burden increases as the end of life approaches but differs between high- and low-context facilities and between residents with and without dementia. Trajectories of treatable, burdensome symptoms at the end of life in nursing homes should be a priority focus for quality improvement. Modifiable features of organizational context that are linked to symptom burden offer new potential strategies and interventions for quality improvement.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".