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Record W2434581826 · doi:10.5430/jnep.v6n10p110

Mastery of the World Health Organization’s techniques of handwashing by the nursing students at the University of Namibia

2016· article· en· W2434581826 on OpenAlexvenueno aff
Kristofina Amakali, Ndjalo Peneyayambeko

Bibliographic record

VenueJournal of Nursing Education and Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHygieneNursingHand washingMedicineClinical PracticeHealth careFamily medicine

Abstract

fetched live from OpenAlex

Hand hygiene practice is essential to prevent cross infection during health care delivery. Poor hand hygiene by health care providers can be a source of hospital acquired infections among patients. In their first year of studies, nursing students are taught the skills of correct hand washing according to the World Health Organization (WHO)’s techniques to prevent cross infection. Hence, they are expected to demonstrate the mastery of hand hygiene practice and to apply the skills in clinical practice when providing care to patients. A quantitative, cross sectional descriptive study assessed the practice of hand hygiene by the second year nursing students at the University of Namibia (UNAM), main campus during their placement in clinical practice. The primary quantitative data was gathered through a structured questionnaire with the sections on the students’ demographic and the practice of hand washing according to the WHO set standards. The findings revealed that in exemption to the few (33%), the majority (67%) of the participants have low compliance with hand hygiene practice. In conclusion, recommendations were made with regard to teaching, environmental factors, processes of caring and attitudes of health care staff which may influence the practice of hand hygiene by the nursing students.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.412
Teacher spread0.371 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations3
Published2016
Admission routes1
Has abstractyes

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