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Record W4399274703 · doi:10.1002/pon.6364

The Ottawa clinical fear of recurrence instruments: A screener, self‐report, and clinical interview

2024· article· en· W4399274703 on OpenAlexafffundabout
Lauriane Giguère, Brittany Mutsaers, Cheryl Harris, Allan Ben Smith, Gerry Humphris, Daniel Costa, Cary S. Kogan, Sébastien Simard, Sophie Lebel

Bibliographic record

VenuePsycho-Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité du Québec à ChicoutimiOttawa HospitalUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsHypervigilanceWorryPsychologyDelphi methodClinical psychologyDelphiPsychiatryAnxietyComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: Clinical fear of cancer recurrence (FCR) was recently defined by a group of experts during a Delphi study. Five criteria were agreed upon, namely: (a) high levels of preoccupation, (b) high levels of worry, (c) that are persistent, (d) hypervigilance and hypersensitivity to physical sensations that e) may result in functional impairment. No existing instruments comprehensively capture all these criteria for clinical FCR. METHODS: To remedy this gap, a set of three patient-reported outcome instruments including a one-item screener, self-report questionnaire, and semi-structured clinical interview, named the Ottawa Clinical Fear of Recurrence instruments, were developed. To do so, the research team first conducted a literature review of potential items. Additional FCR experts discussed the content of the screener and interview. The self-report's items were assessed for content validity by the same expert panel using Likert ratings and the Content Validity Index to narrow down the number of items. The three instruments were piloted with a group of cancer survivors to assess face validity following the European Organization for Research and Treatment of Cancer recommendations. RESULTS: The literature review and content validity assessment led to a final draft pre-pilot of 23 potential items for the self-report questionnaire. The instruments were piloted. Pilot study participants suggested changing wording and response options (particularly for the self-report) for greater clarity. CONCLUSIONS: Based on the feedback received, minor modifications were made, mostly for the self-report. In general, content and face validity for the three instruments were good for both experts and cancer survivors.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.460
Teacher spread0.384 · 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 designNot applicable
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

Citations3
Published2024
Admission routes3
Has abstractyes

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