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Record W2803816726 · doi:10.1093/pch/pxz146

The paediatrician as a leader: A resident educational intervention for high-value care

2019· article· en· W2803816726 on OpenAlexaff
Jessica L. Foulds, Karen Forbes

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsStewardship (theology)Thematic analysisIntervention (counseling)Value (mathematics)Health careNursingResource (disambiguation)MedicinePsychologyMedical educationFamily medicineQualitative researchPolitical science

Abstract

fetched live from OpenAlex

The American College of Physicians defines high-value care (HVC) as health care that balances clinical benefit with costs and harms with the goal of improving patient outcomes. We present a novel 2-hour workshop developed for general paediatric residents designed to promote reflective practice on resource stewardship and raise awareness of costs of medical care in hospitalized children. The workshop impact was assessed quantitatively and qualitatively. Preworkshop, 2-week postworkshop, and 6-month postworkshop electronic surveys were completed by 18 of 43 workshop participants (42% survey participation rate, 100% follow-up in postworkshop surveys) revealing increased knowledge and retention. Thematic analysis performed on 'lessons learned' and 'action plans' provided by participants at the end of the workshop yielded rich data with key findings from learners that included critical thinking about their management and reflecting on nonmonetary costs. Future directions include faculty development and assessment of impact on patient care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.195
GPT teacher head0.498
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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