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Use of a modified ESAS in cancer patients: a pilot study of patient and staff experiences

2007· article· en· W2156126058 on OpenAlexaboutno aff
Kerstin Baba, Per Fransson, Jack Lindh

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDistressPalliative careInclusion (mineral)NursingFamily medicinePhysical therapyPsychologyClinical psychology

Abstract

fetched live from OpenAlex

AIM: To evaluate the feasibility of a modified Edmonton Symptom Assessment Scale (ESAS) for monitoring symptoms in oncological palliative care. METHODS: A modified ESAS was delivered daily to 28 patients with advanced cancer. A questionnaire to discover staff members' opinions on the ESAS was delivered at the end of the study. Structured interviews were used to examine patients' opinions on the ESAS. RESULTS: The mean total ESAS score was 28.9 on inclusion day and 25.8 on Day 3 (p=0.531). Eleven of 21 of the staff considered the ESAS to be a 'good' or 'very good' way to obtain information about patients' symptoms. Seventeen of 24 patients who participated in the interview felt that ESAS was easy to fill in, and that there were no missing questions. CONCLUSION: The patients felt that the modified ESAS contained relevant symptoms, and that the questionnaires were easy to fill in. The staff considered the modified ESAS to be a useful instrument for obtaining information about patients' symptom distress. The modified ESAS is a good instrument for use as part of the daily clinical routine, as well as for monitoring symptoms in palliative oncological care.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.106
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.077
GPT teacher head0.385
Teacher spread0.309 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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