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Record W2048550524 · doi:10.1016/j.aorn.2009.05.001

A Prospective Audit of Postoperative Pain Control in Pediatric Patients

2009· article· en· W2048550524 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAORN Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPacuMedicineAuditPost-anesthesia care unitPostoperative painAnalgesicMultidisciplinary approachPain controlMultidisciplinary teamHealth carePopulationPhysical therapyNursingAnesthesia

Abstract

fetched live from OpenAlex

Pain is a subjective experience that is affected by physical, emotional, and psychological factors, and reliable assessment of pain can be a challenge in the pediatric population. A quality improvement project was conducted at one Canadian health care facility to examine the effectiveness of the postoperative pain management strategy for children admitted to the postanesthesia care unit (PACU). Effective control of postoperative pain involves several preventive strategies that include preoperative analgesia, appropriate use of intraoperative analgesic techniques, and identification of children at risk for significant postoperative pain. Successful implementation of these techniques requires a multidisciplinary team approach involving the patient, the PACU nurses, the anesthesia care provider, and other surgical team members.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.406

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 integrity0.0000.000
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 head0.005
GPT teacher head0.247
Teacher spread0.242 · 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