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P15 Feasibility of the introduction of aseptically prepared dose banded antimicrobials in a paediatric hospital

2022· article· en· W4224234320 on OpenAlexaboutno aff
Laïly Sadozaï, Faye Chappell, Nanna Christiansen

Bibliographic record

VenueArchives of Disease in Childhood · 2022
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAuditPharmacyHospital pharmacySAFERMedical emergencyInfection controlEmergency medicineFamily medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Aim In 2007 the National Patient Safety Agency issued an alert entitled ‘Safer Use of Injectable Medicines’. In response to this alert a number of hospitals have set up Centralised Intravenous Additive Services (CIVAS) to provide ready to use syringes for commonly prescribed intravenous (IV) medications to the wards. It offers a number of advantages including: saving nursing time, reducing risk of calculation and manipulation errors, improving infection prevention and control and leading to potential cost saving (vial sharing). A recent audit in our hospital identified 20% of wastage of ready to use syringes associated with significant cost. One way in which to address the issue is produce batches of ready to use syringes of dose banded antimicrobial. Also, the Peadiatric Sepsis 6 Initiative states that intravenous antibiotics should be given to the patients within the hour. Dose-banded antimicrobial preparation could also assist the paediatric emergency department to reduce the patient’s wait. The aims of the study was to review the current practice of other paedatric hospitals in order to analyze the feasibility of introducing batch production of dose-banded antimicrobials. Method We conducted a 20-question survey sent from the 18th of February until the 7th of April 2021 to the Neonatal and Paediatric Pharmacy Group (NPPG), French Society of Clinical Pharmacy (SFPC), European Association of Hospital Pharmacy (EAHP) and other hospital pharmacists from Belgium and Switzerland. Results Forty-eight pharmacists from 44 paediatric hospitals and 8 different country participated to the survey. Seventeen (36%) were from the United Kingdom, n=16 (32.7%) from France, n=7 (14.3%) from Belgium, n=4 (8.2%) from Switzerland, n=1 (2%) from Canada, n=1 (2%) from Finland, n=1 (2%) from Ireland and n=1 (2%) from Russia. Almost all the participants have heard about dose banding before (n=45; 94%). Only n=13 (31%) hospitals prescribed medications with dose bands such as IV chemotherapies (n=27; 64.3%), antimicrobials (n=9; 21.4%) and other type of drugs (n=6; 14.3%). The dose banded antimicrobials were cefotaxime, ceftriaxone, piperacillin/tazobactam and benzylpenicillin. Almost all of the participants agreed that it could reduce prescription errors (n=37; 77.1%), save nursing time (n=37; 77.1%) or reduce wastage by reassigning the syringe to another patient (n=32; 66.7%). On the other hand, n=13 (27.1%) participants thought dose banding can expose to risks of drug inefficacy or toxicity by not giving the exact dose (milligram-per-weight) and n=8 (16.7%) thought it can increase wastage (because of the batch production and the expiry date). Only 13 hospitals (29%) prepared some antimicrobial in the centralized aseptic unit with milligram-per-weight doses. Conclusion Some paediatric hospitals have experienced dose banding for IV antimicrobials such as cefotaxime, ceftriaxone, piperacillin/tazobactam and benzylpenicillin. The participants of the survey thought that it was very attractive in order to reduce wastage and the prescription errors. On the other hand, there was no paediatric hospitals currently producing batches of IV antimicrobials in the CIVAS. Introducing batches of dose banded antimicrobials will needs further studies about time and cost saving as well as stability of some IV antimicrobials syringes.

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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)0.026
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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