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Record W2076309134 · doi:10.5737/1181912x17415

Ambulatory oncology nursing telephone services: A provincial survey

2007· article· en· W2076309134 on OpenAlexaffvenueabout
Dawn Stacey, Debra Bakker, Esther Green, Margareth Santos Zanchetta, Michael Conlon

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsToronto Metropolitan UniversityLaurentian UniversitySudbury Regional HospitalCancer Care OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineDocumentationNursingAmbulatoryService (business)TriageOncology nursingQuality managementMedical emergencyFamily medicineNurse educationBusinessComputer science

Abstract

fetched live from OpenAlex

A survey of telephone nursing provided through ambulatory oncology programs in Ontario was conducted May to July 2006. Of 38 programs, 58% used primary nurses, 24% used a centralized triage approach, and 18% used a mixed model. About half of programs used protocols (61%), routinely documented calls (55%), and/or provided orientation to telephone nursing (45%). Few programs (29%) monitored telephone service quality. Practice strengths included: improved patient access, early symptom management, and increased continuity of care. Revealed barriers to using protocols were limited access to or awareness of protocols, management of multiple symptoms, inconsistencies with physician practices, concern that protocols replace critical thinking, inadequate time, and lack of electronic protocols. Participants acknowledged the need for electronic documentation, standardized criteria to monitor service quality, and further research to benchmark best practices.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.057
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.092
GPT teacher head0.442
Teacher spread0.350 · 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

Citations24
Published2007
Admission routes3
Has abstractyes

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