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Record W2204700979 · doi:10.5539/gjhs.v8n8p57

Knowledge, Attitude, and Performance of Nurses toward Hand Hygiene in Hospitals

2015· article· en· W2204700979 on OpenAlexvenueno aff
Alireza Sharif, Azizollah Arbabisarjou, Abbas Balouchi, Sudabeh Ahmadidarrehsima, Hamed Haddad Kashani

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
FundersZabol University of Medical Sciences
KeywordsHygieneMedicineDescriptive statisticsNursingConfidence intervalPositive attitudeFamily medicinePsychologyInternal medicineSocial psychologyStatistics

Abstract

fetched live from OpenAlex

INTRODUCTION: The proper hand hygiene is one of the foremost techniques to reduce Nosocomial infections. The hand hygiene is deemed as the simplest method for control of Nosocomial infections if it is done properly it may prevent from a lot of costs and fatalities. Due to constant relationship with patients, nurses play paramount role in proper execution of hand hygiene among clinical personnel. The current study was carried out in order to analyze knowledge, attitude, and performance of nurses regarding hand hygiene. MATERIALS & METHODOLOGY: A cross-sectional study was conducted on 200 (of 240) nurses from three hospitals in Kerman city at east of Iran in 2015. The standardized questionnaire was the tool for data collection. These data entered in SPSS (V.22). The frequency and percentage of frequency in descriptive statistics was employed for data analysis. The confidence interval was considered as 95%. RESULTS: The results showed that the majority of participants were male173 (86.5%), had BA degree 161 (80.5%) and were married 155 (70.5%). Most of nurses 77 (38.5%) had working experience (5-10years). The majority of nurses had good knowledge 149 (74.5%), positive attitude 141 (70.5%) and good performance 175 (87.5%). DISCUSSION & CONCLUSION: The nurses are good level in terms of knowledge, attitude, and performance but improvement of their knowledge and knowledge seems to be more necessary by holding educational classes and courses in cases where they have less knowledge.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.044
GPT teacher head0.398
Teacher spread0.354 · 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 designObservational
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

Citations34
Published2015
Admission routes1
Has abstractyes

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