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Role of the Nursing Professional in Euthanasia: A Qualitative Systematic Review

2024· article· en· W4406373263 on OpenAlexaboutno aff
María Isabel Antury Avila, Blanca Cecilia Díaz Chavarro, Sandra Milena Vargas Murillo

Bibliographic record

VenueThe Open Nursing Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersUniversidad Santiago de Cali
KeywordsObservational studyThematic analysisAdministration (probate law)Qualitative researchNursingCritical appraisalMedicineStrengthening the reporting of observational studies in epidemiologyQualitative propertyMEDLINEFamily medicinePsychologyAlternative medicinePolitical scienceLawSociology

Abstract

fetched live from OpenAlex

Background Until the date of the search, Euthanasia was legally accepted in 5 countries: the Netherlands, Belgium, Luxembourg, Canada and Colombia. Objective We aimed to identify the role of nurses in euthanasia based on articles published both nationally and internationally between 2014 and 2022. Methods Qualitative and quantitative studies, editorials, literature reviews and Colombian regulations were included. Publications that did not meet the criteria of the Strengthening the Reporting of Observational Studies in Epidemiology statement and the Spanish Critical Appraisal Skills Programme were excluded. In total, 57 articles were evaluated and 19 were selected. Appropriate copyright principles were followed in accordance with Colombian Law 23 of 1982. Results With the data obtained, 4 thematic categories were developed as follows: reception and management of euthanasia requests and regulations in Colombia; emotional accompaniment and effective communication with the patient and family; participation in euthanasia preparations and administration of medications; and management of requests and administration of medications. Conclusion Nursing plays an important role in the care of the patient requesting euthanasia, from the reception and management of the request to the administration of the lethal drugs.

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)0.002
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: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.196
GPT teacher head0.548
Teacher spread0.352 · 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 designSystematic review
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

Citations1
Published2024
Admission routes1
Has abstractyes

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