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Record W2474302446 · doi:10.1177/082585970201800306

A Needs Assessment for Southern Manitoba Physicians for Palliative Care Education

2002· article· en· W2474302446 on OpenAlexaffabout
Cheryl Barnabé, Peter Kirk

Bibliographic record

VenueJournal of Palliative Care · 2002
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsWinnipeg Regional Health AuthorityUniversity of Manitoba
Fundersnot available
KeywordsPalliative careNursingPsychosocialMedicineNeeds assessmentFamily medicineQualitative researchHealth carePsychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

Recent calls for increased palliative care education of physicians and a need to improve the effectiveness of palliative care delivery in rural areas are the stimuli for this study. The needs assessment evaluated educational needs and preferences of physicians practicing in three Regional Health Authorities in southern Manitoba in 2000, as well as semi-structured interviews with health care workers in seven rural communities. Physicians report their knowledge of symptom management issues as adequate, although for other issues in palliative care such as bereavement, psychosocial aspects of dying, and professional issues, they have less confidence. Physicians prefer learning through case studies, lectures, and self-directed learning, in settings close to their community, on the weekend. Qualitative analysis from the semi-structured interviews revealed themes related to the role of physicians in rural palliative care: i) a need for physician education, ii) physician participation within the palliative care team, and iii) physician involvement in patient-centered 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 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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.953
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.130
GPT teacher head0.437
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Palliative Care→Same topicPalliative Care and End-of-Life Issues→French-language works237,207→