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Record W2938783282 · doi:10.5430/jnep.v9n7p18

The effect of emotional intelligence intervention on nursing students’ practice and patients’ clinical outcomes at burn intensive care unit

2019· article· en· W2938783282 on OpenAlexvenueno aff
Heba A. Al-Metyazidy, Souzan Abd El-Menem Abd El-Ghafar, Soheir Weheida

Bibliographic record

VenueJournal of Nursing Education and Practice · 2019
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistIntervention (counseling)NursingObservational studyMedicineIntensive care unitScale (ratio)Intensive carePsychologyIntensive care medicine

Abstract

fetched live from OpenAlex

Background and objective: Emotional intelligence in nursing practice helps students better deal with clinical pressures and communicates effectively with patients. Therefore, developing students' emotional maturity may seem more important than their physical responsibilities. The current study was carried out to evaluate the effect of emotional intelligence intervention on nursing students’ practice and their reflections on patients’ clinical outcomes at burn intensive care unit.Methods: This study was carried out in the Faculty of Nursing, Tanta University and Burn Intensive Care Unit at Tanta Emergency Hospital. A quasi experimental research design was utilized in the current study. A convenience sample of 120 undergraduate second year nursing students who studied critical care nursing course at academic year 2017-2018 were selected. They were divided into two equal groups, 60 students in each group as follows: Group I: Students were exposed to emotional intelligence intervention and clinical procedures. Group II: Students were exposed to clinical procedures only. In addition, a convenience sample of 60 adult critically patients with severe burn injury were selected and divided into two equal groups, 30 in each group as follow: Group I: Patients were exposed to intervention from nursing students who were undergoing emotional intelligence intervention during clinical procedures. Group II: Patients were exposed to intervention from nursing students who were trained on clinical procedures only. Three tools were used to collect the study data. Tool I: Emotional Intelligence Scale, Tool II: Nursing student's: observational checklist, and Tool III: Critically ill patient with severe burn injury’s clinical outcomes assessment.Results: There was a statistically significant improvement in the total practice mean score level among nursing students in group I than group II. Also, patients who received care from group I showed improvement in physical and psychological outcome compared to students in group II.Conclusions: Based on the results of the present study, it can be concluded that, merging emotional intelligence into practice is a favorable method which provides the undergraduate nursing students with a higher level of practice regarding burn intensive care unit. Students who acquired intelligence practice had a statistical significant effect on improving psychological and physical outcomes of patients with severe burn injury than nursing students who are not exposed to such emotional intelligence intervention during clinical practice. Recommendation: The emotional intelligence should be incorporated into the critical care nursing course and training the students’ about the appropriate way of implementation to improve their knowledge and practice and improve patients’ clinical outcomes.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
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 head0.089
GPT teacher head0.546
Teacher spread0.457 · 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.

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

Citations5
Published2019
Admission routes1
Has abstractyes

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