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Record W1967648220 · doi:10.5737/1181912x212114121

Gaining a better understanding of the support function of oncology nurse navigators from their own perspective and that of people living with cancer: Part 2

2011· article· en· W1967648220 on OpenAlexafffundvenueabout
Johanne Hébert, Lise Fillion

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsHôtel-Dieu de QuébecUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsPsychosocialPsychological interventionFunction (biology)NursingIntervention (counseling)Perspective (graphical)Psychosocial supportPsycho-oncologyNeeds assessmentMedicinePsychologyPsychotherapistComputer scienceSociology

Abstract

fetched live from OpenAlex

Individuals living with cancer have a wide range of needs throughout the disease trajectory. To better meet them, the PQLC [French acronym of the Quebec Cancer Control Program] implemented the oncology nurse navigator (ONN) role. A first article presented the nature of the needs of individuals living with cancer and of the support provided by ONNs. This second article aims at gaining a better understanding of the ONN support function from the ONNs' own perspective and to complete an exploratory description of their support interventions for individuals living with cancer and their loved ones throughout the care trajectory. The sample includes ten ONNs. They reported doing support interventions for all the various types of needs, especially in the informational (44%) and practical areas such as coordinating appointments for exams, practitioners and various services (35%). The results also suggest that a needs assessment is a prerequisite to intervention. Lastly, all participants underscored the importance of the helping relation and trusting relationship to clarify their support function. These results are consistent with the findings of several recent articles on the psychosocial role of oncology nurses.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.289
Teacher spread0.241 · 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.

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
Published2011
Admission routes4
Has abstractyes

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