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Record W2512362162 · doi:10.5430/jnep.v6n12p121

Factors affecting nurse interns’ compliance with standard precautions for preventing stick injury

2016· article· en· W2512362162 on OpenAlexvenueno aff
Shereen R. Dorgham, Heba Obied

Bibliographic record

VenueJournal of Nursing Education and Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCompliance (psychology)Economic shortageIntensive careStandard precautionsMedical emergencyNursingPersonal protective equipmentEmergency medicineEnvironmental healthInfection controlIntensive care medicineCoronavirus disease 2019 (COVID-19)PsychologyDiseaseInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex

Aim : Compliance with standard precautions (SPs) is a critical workplace safety issue for nurse interns (NIs) as they are clinically incompetent, and obligated to cover nursing shortage in intensive care units (ICUs). Thus current study aimed to assess factors affecting NIs’ compliance with SPs. Methods : Descriptive study design was used. The sample included 110 NIs trained in ICUs at University Hospitals. Tools: Tool (I) Factors affecting NIs’ compliance with SPs included items on compliance with SPs, environmental risk factors, stick injuries, and vaccination, influence of role-modeling and refreshment program on compliance with SPs. Tool (II) Knowledge test covered SPs and transmission of blood-borne pathogens. Results : About 40% of NIs noncompliance with SPs due to lack in supplies and equipments, Majority of them had low and moderate knowledge level regarding SPs. 71.8% had 4-6 times needle stick injuries and 88.2% didn’t report it. 39.1% never use protective equipment in emergency and 29.1% always recap contaminated needles. Conclusions : NIs are at risk of stick injury as they lacking knowledge and skills regarding SPs. Moreover, lacking of supplies and training programs regarding SPs, and absence of reporting system of these incidents contribute to NIs noncompliance with SPs thus they are more at risk of blood transmitted diseases.

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)0.005
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 score0.905
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.165
GPT teacher head0.503
Teacher spread0.339 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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