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Record W2618017675 · doi:10.5737/236880762611118

Gestion à domicile des symptômes du cancer : revue exploratoire

2016· article· fr· W2618017675 on OpenAlexaffvenue
Kathryn Nichol, Dawn Stacey, Craig Kuziemsky, Wendy Gifford

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2016
Typearticle
Languagefr
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of OttawaInuit Tapiriit KanatamiOttawa Hospital
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Cette revue exploratoire avait pour but d’examiner les interventions utilisées par les infirmières dans le contexte des soins à domicile pour gérer les symptômes chez les adultes atteints de cancer. Des recherches ont été effectuées dans diverses bases de données (CINAHL, Medline, PubMed, EBM Reviews et Joanna Briggs Institute Evidence Based Practice) à l’aide des mots clés cancer, domicile, soins infirmiers, symptôme et protocole. Parmi les 390 articles trouvés, cinq répondaient aux critères d’inclusion. Les études retenues ont été réalisées entre 1989 et 2009. Les résultats ont révélé que les services de soins infirmiers à domicile amélioraient la gestion des symptômes, favorisaient l’autonomie, contribuaient à maintenir la qualité de vie et diminuaient l’utilisation des services de soins de santé. Deux études ont utilisé des lignes directrices fondées sur des données probantes pour la gestion des symptômes du cancer. Même si peu d’études ont exploré les interventions infirmières pour la gestion à domicile des symptômes du cancer, leurs données probantes indiquent que cette pratique améliore certains résultats concernant les patients et le système.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.861
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.114
GPT teacher head0.402
Teacher spread0.288 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designSystematic review · Other design
Domainnot available
GenreReview

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

Citations2
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Oncology Nursing JournalSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207