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Record W7071966274

United States Pharmacopeia (USP) <800> Standards: Increasing Compliance of Safe Handling and Proper Administration of USP General Chapter <800> Drugs

2022· article· en· W7071966274 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

VenueUSF Scholarship Repository (University of San Francisco) · 2022
Typearticle
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsnot available
Fundersnot available
KeywordsSignageHealth careCompliance (psychology)Administration (probate law)Quarter (Canadian coin)Patient safetyHazardous wastePersonal protective equipment
DOInot available

Abstract

fetched live from OpenAlex

Problem: United States Pharmacopeia (USP) developed a set of standards to minimize exposure risks to patients, healthcare workers, and the environment when preparing, handling, and administering hazardous drugs (HDs) known as USP <800> HDs. The guidelines became effective December 1, 2019, but additional information is needed to ensure healthcare personnel are complying with the standards.\nContext: Two medical surgical units from Hospital A were included in this project. Currently mandatory online modules about USP <800> standards are provided annually to every healthcare worker, but it is unknown if the policies and procedures are being followed appropriately.\nInterventions: Active and passive observations as well as inspections were used to compile data regarding the compliance of USP <800> standards of both healthcare workers and within the hospital setting. Surveys were conducted through informal ‘elbow-to-elbow’ interviews with hospital employees, primarily nurses, to collect subjective evidence.\nMeasures: The measures can be divided into two categories: personnel and atmosphere compliance. Measures to determine personnel compliance include determining a current level of knowledge and comfortability, collecting self-reported compliance to the standards, and observing personal protective equipment (PPE) donning and doffing techniques. Atmosphere compliances are measured by calculating the total number of patients taking USP <800> HDs, evaluating the accuracy and efficiency of notifications in the electronic health record (EHR), documenting the frequency of correctly displayed signage on patient doors, and assessing supplies located on USP <800> carts.\nResults: Nurses self-reported a high level of knowledge and comfortability regarding safe handling and administration practices of USP <800> HDs. However, despite over a quarter of the patients being on at least one USP <800> drug, compliance with proper PPE recommendations, signage, and accessibility of supplies was low.\nConclusions: This project determined that healthcare employees at Hospital A are not consistently following the recommended USP <800> standards. It also provided a baseline knowledge for future education to ensure safety of patients, healthcare employees, and the environment.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.313
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