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Record W2039279414 · doi:10.1191/0269216306pm1164oa

The last two days of life of nursing home patients – a nationwide study on causes of death and burdensome symptoms in the Netherlands

2006· article· en· W2039279414 on OpenAlexaboutno aff
H Brandt, Marcel E. Ooms, Luc Deliëns, Gerrit van der Wal, Miel W. Ribbe

Bibliographic record

VenuePalliative Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLife expectancyPalliative careMinimum Data SetPneumoniaNursing homesProspective cohort studyCause of deathNursing practiceIntensive care medicineNursingInternal medicineDiseasePopulation

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to identify the direct causes of death and to evaluate the presence of burdensome symptoms in the last two days of life of terminally ill nursing home (NH) patients. METHODS: Prospective study of patients with a maximum life-expectancy of six weeks in 16 nursing homes representative for The Netherlands (n = 463). Symptoms were measured after death in conscious patients with the Edmonton Symptom Assessment Scale (ESAS) and the Resident Assessment Instrument Minimum Data-Set Palliative Care (RAI MDS-PC draft 1.8). Direct causes of death were assessed in all patients. RESULTS: Most patients died from pneumonia, renal failure or dehydration. Loss of consciousness was common. The prevalence of burdensome symptom(s) at 48 and 24 hours before death was 51.3 and 28.4%, respectively. CONCLUSION: In practice, it appears that, for many patients, the last days of life are spent unconscious or conscious with one or more burdensome symptom(s), which suggests the potential for improvement of symptom management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.402
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations49
Published2006
Admission routes1
Has abstractyes

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