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Record W4220962231 · doi:10.1111/nep.14040

The need for individualizing teaching and assurance of knowledge transmission to patients training for home dialysis

2022· review· en· W4220962231 on OpenAlex

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

VenueNephrology · 2022
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsMedicineLearning stylesComprehensionAdverse effectDialysisMedical educationSurgeryPedagogyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Patients have varied learning styles and this has implications for home haemodialysis (HHD). Assessment tools directed toward understanding these styles remains understudied. As a consequence, this may lead to substandard retention rates or adverse events in HHD programs. As part of a continuous quality improvement initiative we have aimed to improve our understanding of patient learning styles and consequently tailor home dialysis training to individuals. To objectively determine knowledge translation and comprehension, irrespective of learning styles, we have introduced an objective structured clinical examination (OSCE). This assessment tool allows for further refinement of educational priorities by highlighting both deficiencies and strengths. Thereafter, an exit OSCE ensures patients attain an acceptable standard to complete home haemodialysis independently. We hope this tool will help shape future training criteria for HHD programs and consequently reduce adverse event rates.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.063
GPT teacher head0.352
Teacher spread0.289 · 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