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Record W4391384739 · doi:10.33448/rsd-v13i1.44834

Prevalence of errors in the preparation and administration of intravenous drugs in adults: Meta-analysis with meta-regression

2024· article· en· W4391384739 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Society and Development · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-regressionMeta-analysisMedicinePharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Objective: To evaluate the average prevalence of errors in the preparation and administration of intravenous medications in a hospital by means of a meta-analysis. Method: Systematic review through meta-analysis with meta-regression, registered in PROSPERO (CRD42022324431), with a search in the seven databases, using the Rayyan QCRY®. The methodological quality of the selected studies was assessed using the Newcastle-Ottawa Scale. The meta-analysis was calculated using the random-effect model and adjusted by the inverse of the variance, and analyses were carried out to investigate heterogeneity. Results: 34 primary studies were included. The estimated prevalence of errors in the preparation and administration of intravenous drugs was 41,23% (IC95% 30,51–51,96; I2 = 100,00%). Conclusion: The results reflect the lack of health systems official data on the reporting of errors in institutions, the basis for the effective strategies that ensure for patient safety in the process medicated.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.216
GPT teacher head0.493
Teacher spread0.277 · 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