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Record W3138160718

Critical appraisal of the hazardous medication personal protective equipment guide for health care workers in a supportive living setting

2019· article· en· W3138160718 on OpenAlexaboutno aff
Tracy Sorensen

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsCritical appraisalHazardous wasteGuidelineMedicinePersonal protective equipmentPracticumNursingPsychologyMedical educationAlternative medicineEngineeringCoronavirus disease 2019 (COVID-19)
DOInot available

Abstract

fetched live from OpenAlex

Background and Purpose: Health care workers caring for adults in the Supportive Living setting (SLS) are at risk for exposure to hazardous medications. To control workers’ exposure, Alberta Health Services developed the Hazardous Medication Personal Protective Equipment Guide and List (the Guide). The overall goal of this practicum was to conduct a critical appraisal of that Guide with recommendations for future implementation and evaluation. Methods: Three methods of data collection were used to inform the critical appraisal: a comprehensive review of the literature, consultations with key informants, and an environmental scan of hazardous medication management resources. Results: A critical appraisal of the Guide using the Appraisal of Guidelines for Research and Evaluation (AGREE II) Instrument showed that it was a high quality clinical practice guideline. Conclusion: The Guide is recommended for use in the supportive living setting, with minor modifications in the Applicability and Editorial Independence domains.

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 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)0.263
metaresearch head score (Gemma)0.537
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.263
Threshold uncertainty score0.909

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2630.537
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0170.008
Science and technology studies0.0060.007
Scholarly communication0.0090.006
Open science0.0070.007
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0040.002

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 head0.047
GPT teacher head0.399
Teacher spread0.352 · 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.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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