Evidence map›Paper›PMID 40162471›Full record

ArticleBioinformation2024

Role of emotional intelligence in shaping self-esteem among Indian nurses at Trichy, Tamilnadu.

Rajathi A, Christena P, Rose Infantina J, Anitha Catherine M

Abstract read
In one paragraph

Article in Bioinformation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rajathi ADepartment of Mental Health Nursing, KMC College of Nursing, Trichy, Tamilnadu, India.
Christena PDepartment of Obstetrics and Gynecological Nursing, KMC College of Nursing, Trichy, Tamilnadu, India.
Rose Infantina JDepartment of Mental Health Nursing, KMC College of Nursing, Trichy, Tamilnadu, India.
Anitha Catherine MDepartment of Child Health Nursing, KMC College of Nursing, Trichy, Tamilnadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing is a multifaceted profession that requires a blend of technical skills and emotional intelligence (EI) to manage various responsibilities, from patient care to team supervision. EI is closely connected to self-esteem, a psychological construct representing an individual's self-worth and competence. Self-esteem significantly influences how nurses perceive their abilities and engage with their work environment. The current study adopted the non-experimental descriptive correlational survey design to assess the emotional intelligence and self-esteem among the nurses. The study was conducted for a period of two months, among 301 Nurses working in various departments of the hospital, Trichy, Tamilnadu. The assessment of the samples was done using the background variables, TEIQue-SF- (Trait Emotional Intelligence questionnaire- short form) and Rosenberg's self-esteem scale. The data was collected through the Google Form for 4 weeks. The study results show that 81.1% of the nurses had average emotional intelligence only, 18.9% of the nurses had a high level of emotional intelligence and none of the nurses had a low level of emotional intelligence. In the aspects of self-esteem 76.4% of nurses had moderate level of self-esteem, 21.3% had high level of self-esteem and 2.3% had low level of self-esteem, there was a weak positive correlation between the level of Emotional intelligence and the level of Self- esteem with "r" value 0.321 & "p" value 0.01. Nurses render care to those who are emotionally heightened for patients and families. The persons exhibit confidence when they are emotionally intelligent, capable of understanding and stabilize their emotions. Self-esteem can be shaped by individuals' relationships with others, experiences and accomplishments in life.

Indexed as

Emotional intelligence (EI)nursesself-esteem

Identifiers

PMID40162471
PMCPMC11953546

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.