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Record W6995343374

Oncology nurses use of family assessment in the acute care setting.

2013· other· en· W6995343374 on OpenAlexaboutno aff

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2013
Typeother
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsnot available
Fundersnot available
KeywordsReferralOncology nursingQualitative researchFocus groupGrounded theoryMEDLINEPerceptionAcute care
DOInot available

Abstract

fetched live from OpenAlex

Background Family assessment in the oncology setting is a crucial step in determining the appropriate family support and guidance required. Oncology nurses are the coordinators of patient and family support services and are relied upon to identify patient and family concerns. A cancer diagnosis has a physical and emotional impact on the patient, however during this time the family caregivers providing support are often at risk of physical, emotional and practical problems themselves. This study investigated the oncology nurses use of a framework for family assessment, exploring the nurse’s experience and perception of family assessment. Methods An interpretive study was conducted to investigate oncology nurses’ family assessment practices across cancer care inpatient and day-treatment areas of three metropolitan hospitals in South-east Queensland. In total 20 focus groups consisting of 50 oncology nurses were conducted to provide demographic and qualitative data. Using a constant comparative technique, analysis of the nurses’ responses was used to identify themes which related to the process of family assessment. Results Themes around family assessment related to models of patient care, nurse’s philosophy, ward culture and physical environment. Most oncology nurses considered family assessment as their role however family assessment was often conducted informally with no structured framework or documentation. The family assessment process varied according to experience of the oncology nurse with nurses who were less experienced relying on referral to a social worker if they considered the family required support. The participants highlighted that the use of a structured approach would improve their family assessment techniques, suggesting a set of questions to ask the patient and family might help the less experienced oncology nurse. Conclusion The informal process of family assessment provides some way of identifying the family’s needs, however this was often conducted in an ad hoc manner. A simple framework such as the Calgary Model of Family Assessment may assist nurses in the promotion of appropriate family support.

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)0.004
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.108
GPT teacher head0.390
Teacher spread0.281 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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