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Record W4213147045 · doi:10.1177/17446295211044041

Family physicians’ and trainees’ experiences regarding cancer screening with patients with intellectual disability: An interpretive description study

2022· article· en· W4213147045 on OpenAlexafffund
Geneviève Breau, Sally Thorne, Jennifer Baumbusch, T. Greg Hislop, Arminée Kazanjian

Bibliographic record

VenueJournal of Intellectual Disabilities · 2022
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of British Columbia
FundersFaculty of Medicine, University of British Columbia
KeywordsIntellectual disabilityJudgementMedicineFamily medicineAutonomyCancer screeningPopulationColorectal cancerCancerPsychiatry

Abstract

fetched live from OpenAlex

People with intellectual disability receive breast, cervical, and colorectal cancer screening at lower rates relative to the general population, although the reasons for this disparity are largely unknown. Research, both with the general population and specific to people with intellectual disability, has revealed that a family physician's recommendation for cancer screening or continuity of primary care may increase screening rates. We interviewed family physicians and family medicine trainees regarding their experiences recommending cancer screening to patients with intellectual disability. We concluded that the decision to recommend cancer screening is complex, and includes physicians weighing their clinical judgement as to the best provision of care for patients with a patient's eligibility for screening, while continuing to respect patients' autonomy. This patient-physician interaction occurs within the larger medical environment. Further research with experienced family physicians is warranted to better understand this complex phenomenon.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.310
Teacher spread0.266 · 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 designQualitative
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

Citations13
Published2022
Admission routes2
Has abstractyes

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