MétaCan
Menu
Back to cohort
Record W3096148619 · doi:10.1093/pch/pxaa105

Medication safety for children with medical complexity

2020· article· en· W3096148619 on OpenAlex
Kathleen Huth, Patricia Vandecruys, Julia Orkin, Hema Patel

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

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsPolypharmacyHealth careMedicineLimitingAmbulatory careMedical emergencyHealth technologyNursingIntensive care medicine

Abstract

fetched live from OpenAlex

Due to advances in medical care and innovations in health technology, many children with life-limiting conditions are now living longer. These children are often referred to as 'children with medical complexity (CMC)', and they are characterized by chronic conditions, increased health care utilization, and technology dependence. Their complexity of care and inherent fragility lead to higher risk for medication errors, both in-community and in-hospital. High rates of care fragmentation, miscommunication, and polypharmacy in CMC increase opportunities for error, particularly as children transition between health care settings and practitioners. Data on the factors contributing to higher risk of medication errors in this population and how they can be effectively addressed are lacking. This practice point provides clinical guidance for health care professionals to ensure medication safety when caring for CMC, with focus on practical strategies for outpatient and inpatient 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.083
GPT teacher head0.388
Teacher spread0.305 · 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