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Record W4360586552 · doi:10.5603/pmpi.a2022.0021

An international study of healthcare professionals’ understandings of palliative care

2022· article· en· W4360586552 on OpenAlexaff
David J. Oliver, Rachel Forrester‐Jones

Bibliographic record

VenuePalliative Medicine in Practice · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsWestern University
FundersAstor Foundation
KeywordsPalliative careThematic analysisReferralNursingPsychological interventionHealth careFocus groupMedicineHealth professionalsQualitative researchPsychologyFamily medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

Introduction: The development of palliative care across the World is varied and often limited. The purpose of this comparative study was to explore healthcare professionals’ (doctors, nurses, and healthcare workers) understanding of palliative care in several different countries. Patients and methods: Eight focus groups were held in eight different countries using open-ended semi-structured questions that allowed participants to report on their understanding and experience of palliative care, the referral to services and the difficulties in providing and accessing palliative care. Transcriptions were subjected to thematic analysis. Results: Sixty people in total participated in focus groups held across eight countries. The main themes derived from the data included: definitions of palliative care; place of death and last care; and barriers to providing palliative care. Knowledge and understanding of palliative care vary across countries and between professionals and family carers. Cultural attitudes around death and dying in some countries appear to impact the introduction, availability, and use of palliative care services. The place of death of people with palliative care needs may also be influenced by resources and cultural norms. Limitations: The participants were self–selected and may not be representative of the wider views within each country. Conclusions: Increased educational interventions about palliative care for both professionals and the public would help improve palliative care provision, taking into account the social and cultural norms within communities.

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
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
grokno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
opusno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.201
GPT teacher head0.531
Teacher spread0.330 · 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 3 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 designOther design · Observational
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
Published2022
Admission routes1
Has abstractyes

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