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Record W2779360355 · doi:10.3917/spub.175.0655

Interventions pour le retour et le maintien au travail après un cancer : revue de la littérature

2017· review· fr· W2779360355 on OpenAlex
Maryse Caron, Marie‐José Durand, Dominique Tremblay

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSanté Publique · 2017
Typereview
Languagefr
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Returning to work after cancer can be challenging for cancer survivors and little is known about interventions designed to support survivors returning to work. PURPOSE: The objective of this review was to identify interventions designed to support the return-to-work process after a cancer diagnosis. METHODS: A literature review was performed mainly done by consulting bibliographical databases. Systematic analysis and interpretation of the results were then performed. RESULTS: Twenty-two articles were identified. The first finding is that very few interventions are specifically devoted to return to work after cancer and are usually administered in the clinical setting by healthcare practitioners. The activities proposed to support return to work in these interventions are individual counselling, provision of information and support groups. These activities are provided by various multidisciplinary teams composed of one or more professionals: occupational physicians, social workers and nurses. A second finding is that even with the use of experimental and quasi-experimental approaches, no effect was observed on return to work. CONCLUSION: This integrative review highlights two recommendations for the development of future interventions. First, to improve the efficacy of future interventions on return to work of cancer survivors, these interventions must be developed and supported by an intervention theory. Second, future interventions must include and mobilize workplaces.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.065
GPT teacher head0.365
Teacher spread0.301 · 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