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Record W1517337139 · doi:10.5750/ejpch.v2i3.732

Cancer educational group intervention: impact on self-efficacy and anxiety among women recently diagnosed with breast cancer and undergoing surgery

2014· article· en· W1517337139 on OpenAlexaffabout
Sylvie Dubois, Louise Hanfield, Nathalie Folch, Andréanne Saucier, Danielle Fleury, Raynald Pineault

Bibliographic record

VenueEuropean Journal for Person Centered Healthcare · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBreast cancerMedicineAnxietyIntervention (counseling)CancerPhysical therapyHealth careSession (web analytics)Family medicineNursingInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Aim: To investigate the impact of an educational group intervention on self-efficacy and anxiety among women recently diagnosed with breast cancer.Method: A quasi-experimental longitudinal design was used. Women diagnosed with breast cancer and undergoing surgery (n = 113) were recruited from a university teaching hospital in Montreal, Quebec, Canada. At pre-admission, the intervention group(n = 57) received a group 90-minute information session (paper documents, video and demonstration) led by a nurse and a physiotherapist, which included material handling and time for questions and discussion. The control group(n = 56) received the usual care. Self-reported questionnaires were filled out at the time of the announcement of surgery(T0), after the training(intervention or usual care, T1) and at the first post-operative follow-up(T2).Results: Quantitative analysis using a mixed model for repeated measures showed no significant differences between the experimental and control groups in terms of the training session (group vs. individual). A time effect was observed in both groups for self-care and anxiety. In addition, several positive changes weremade in the clinical settings to optimize oncology healthcare.Conclusions: Future research would explore whether these findings reflect actual clinical practices or are more dependent on the specific cancer diagnosis.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.120
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.035
GPT teacher head0.314
Teacher spread0.280 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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