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Record W1999382563 · doi:10.12927/hcq.2009.20980

Compliance with a Pediatric Clinical Practice Guideline for Intravenous Fluid and Electrolyte Administration

2009· article· en· W1999382563 on OpenAlexaff
Amanda Hurdowar, Lynn Urmson, Desmond Bohn, Denis F. Geary, Ronald M. Laxer, Polly Stevens

Bibliographic record

VenueHealthcare Quarterly · 2009
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversity of TorontoSickKids Foundation
Fundersnot available
KeywordsGuidelineMedicineIntravenous fluidCompliance (psychology)Clinical PracticeIntensive care medicineAdministration (probate law)Patient safetyNursingHealth careAnesthesiaPsychologyPolitical science

Abstract

fetched live from OpenAlex

The occurrence of acute hyponatremia associated with cerebral edema in hospitalized children has been increasingly recognized, with over 50 cases of neurological morbidity and mortality reported in the past decade. This condition most commonly occurs in previously healthy children where maintenance intravenous (IV) fluids have been prescribed in the form of hypotonic saline (e.g., 0.2 or 0.3 NaCl). In response to similar problems at The Hospital for Sick Children (six identified through hospital morbidity and mortality reviews and safety reports prior to fall 2007), an interdisciplinary clinician group from our institution developed a clinical practice guideline (CPG) to guide fluid and electrolyte administration for pediatric patients. This article reviews the evaluation of one patient safety improvement to change the prescribing practice for IV fluids in an acute care pediatric hospital, including the removal of the ability to prescribe hypotonic IV solutions with a sodium concentration of < 75 mmol/L. The evaluation of key components of the CPG included measuring practice and process changes pre- and post-implementation. The evaluation showed that the use of restricted IV fluids was significantly reduced across the organization. Success factors of this safety initiative included the CPG development, forcing functions, reminders, team engagement and support from the hospital leadership. A key learning was that a project leader with considerable dedicated time is required during the implementation to develop change concepts, organize and liaise with stakeholders and measure changes in practice. This project highlights the importance of active implementation for policy and guideline documents.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.723

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.158
GPT teacher head0.517
Teacher spread0.359 · 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.

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

Citations2
Published2009
Admission routes1
Has abstractyes

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