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Record W2152373703 · doi:10.1177/1049909107312595

Nurses' Perceptions of Hospice Palliative Care Volunteers

2008· article· en· W2152373703 on OpenAlexaff
Stephen Claxton‐Oldfield, Emily Hastings, Jane Claxton-Oldfield

Bibliographic record

VenueAmerican Journal of Hospice and Palliative Medicine® · 2008
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsTantramar Wetlands CentreMount Allison University
Fundersnot available
KeywordsMedicinePalliative careNursingFamily medicinePerceptionPsychology

Abstract

fetched live from OpenAlex

A total of 50 nurses (hospital and home care) responded to a survey designed to measure: (1) their attitudes toward, and knowledge of, hospice palliative care volunteers; (2) the types of tasks they felt it was appropriate for volunteers to perform; and (3) how valuable they felt different members of the hospice palliative care team are. In addition, they were asked to respond to some open-ended questions (eg, "Do you feel that it is appropriate for hospice palliative care volunteers to know patient medical information?"). The nurses' responses to the "Attitude/Knowledge" part of the survey revealed that they generally held positive attitudes toward volunteers. The majority of the nurses felt that it was appropriate for volunteers to perform most of the tasks listed, except for hands-on patient care. Nurses rated the value of nurses, family members, doctors, and pharmacists significantly higher than volunteers. Fifty-three percent of the nurses felt that volunteers should know patient medical information, and 77% thought that volunteers should have the opportunity to provide input regarding patient care. Also, 75% of the nurses felt that volunteers made their jobs easier, and 56% felt that volunteers should be included in team meetings. When asked to list the topics covered in a hospice palliative care volunteer training program, 73% of the nurses indicated that they were not sure or did not know what topics were covered, indicating a lack of knowledge regarding volunteer training.

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)0.001
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 score0.113
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.059
GPT teacher head0.400
Teacher spread0.341 · 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

Citations34
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Hospice and Palliative Medicine®Same topicPalliative Care and End-of-Life IssuesFrench-language works237,207