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Assistência segura ao paciente no preparo e administração de medicamentos

2018· article· pt· W2768886070 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista gaúcha de enfermagem · 2018
Typearticle
Languagept
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

OBJECTIVE To evaluate the compliance with the assistance and the adhesion of nursing professionals for the safe administration of drugs in an Intensive Care Unit of a public hospital in Sergipe, Brazil. METHOD Quantitative, descriptive and cross-sectional study carried out by direct non-participant observation. Data collection performed in 2015. Non-probabilistic sample, for convenience, consisting in the observation of 557 doses of prepared and administered drugs. For data analysis, descriptive statistics were used for data analysis. RESULTS The items classified as safe care were: correct via (85.7%) and correct form (100%). The items classified as undesirable care were: correct patient (33.3%), correct medication (66.67%), correct dose (50%), correct register (33.33%), correct orientation (0%), and correct time (50%). CONCLUSION The practice was evaluated according to Carte's positivity index as undesirable care, considering that six of the eight items had low adhesion. The found weaknesses compromised the whole process of drug administration.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.012

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 head0.099
GPT teacher head0.451
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