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Record W4401628737 · doi:10.1097/ncq.0000000000000801

Operation STICK Improves Vascular Access Outcomes in a Specialty Team

2024· article· en· W4401628737 on OpenAlexaff
S. Matthew Gibson, Jessica Sarlabous, Lauren Adair, Amit Bahl

Bibliographic record

VenueJournal of Nursing Care Quality · 2024
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsGibson Energy (Canada)
Fundersnot available
KeywordsVascular accessMedicineSpecialtyCatheterPeripheralPhysical therapyEmergency medicineSurgeryInternal medicineFamily medicineHemodialysis

Abstract

fetched live from OpenAlex

BACKGROUND: Education and training may improve outcomes within an experienced vascular access team. PURPOSE: The purpose of this study was to measure the impact of a standardized peripheral intravenous catheter insertion educational program (Operation STICK) on vascular access outcomes. METHODS: A quasi-experimental study design was used. Adult inpatients with difficult intravenous access (DIVA) requiring ultrasound-guided insertion by a vascular access specialty team were eligible. Data were collected before and 7 months after the educational training program. RESULTS: A total of 54 subjects were included (24 pre- and 30 post-implementation). Significant improvements were found for mean peripheral intravenous catheter dwell time (3.62 to 14.97 days, P < .001), completion of therapy (58.3% to 96.7%, P = .001), and first-stick success rate (79.2% to 100%, P = .013). Catheter-to-vein ratio significantly decreased ( P = .007). CONCLUSIONS: Standardized education/training in vascular access focusing on best practices yields favorable outcomes for DIVA patients within an established specialty team.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.105
GPT teacher head0.509
Teacher spread0.404 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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