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Record W1507455584 · doi:10.1002/pon.2060

Getting back on track: evaluation of a brief group psychoeducation intervention for women completing primary treatment for breast cancer

2011· article· en· W1507455584 on OpenAlexaff
Jennifer M. Jones, Terry Cheng, Maureen Jackman, Tara Walton, Susan Haines, Gary Rodin, Pamela Catton

Bibliographic record

VenuePsycho-Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPsychoeducationBreast cancerMedicinePsychosocialRandomized controlled trialIntervention (counseling)Physical therapyMoodGroup psychotherapyDistressFamily medicineCancerClinical psychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Patients with breast cancer experience unmet informational and psychosocial needs at the end of treatment. A brief psychoeducational intervention delivered at this transition may help to address some of the challenges these women face. The purpose of this study was to test the effectiveness of a single-session group psychoeducational intervention (GBOT group) compared with standard print material (usual care). METHODS: In this randomized controlled trial, 442 patients with breast cancer who were completing their adjuvant radiotherapy were recruited and randomized to receive either usual care, which includes standard print material (CRL group n = 226) or usual care and the GBOT group intervention (INT group n = 216). Participants completed measures at baseline and again at 3 and 6 months post-intervention. RESULTS: The INT group showed significant improvement in their knowledge regarding the re-entry transition period (d = 0.31) and in their feelings of preparedness for re-entry (d = 0.37). There were no differences between the groups over time on health-related distress or mood. CONCLUSIONS: Results support the effectiveness of providing a single-session group psychoeducational intervention as a first-step approach to supportive care for women at the end of breast cancer treatment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score1.000

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)0.0010.000

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 head0.129
GPT teacher head0.421
Teacher spread0.292 · 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 designOther design
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

Citations44
Published2011
Admission routes1
Has abstractyes

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