The impact of emotional intelligence and personality traits on the occurrence of unsafe behaviors and needle stick injuries among the nurses

Majdabadi, Masoud Askari; Yazdanirad, Saeid; Yarahmadi, Rasoul; Abolghasemi, Jamileh; Ebrahimi, Hossein

doi:10.1016/j.heliyon.2022.e09584

Cited by 7 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Healthcare depends on good and safe behavior of the staff as this will reflect positively towards safer care. One of the serious occupational hazards for healthcare workers in general and nurses in specific is needle stick injury, as it could transmit dangerous diseases like AIDS and hepatitis A and B [79]. World Health Organization (WHO) reported that 40% of cases of hepatitis A and B in healthcare workers are caused by needle-stick injuries.…”

Section: Discussionmentioning

confidence: 99%

“…World Health Organization (WHO) reported that 40% of cases of hepatitis A and B in healthcare workers are caused by needle-stick injuries. In the United States, four million healthcare workers suffer needle-stick injuries annually, and in the middle east, 50% of needle-stick injuries were reported for nurses [79]. This was reported to be caused by unsafe and high-risk behavior of certain nurses that had significantly lower scores in EI [79].…”

Section: Discussionmentioning

confidence: 99%

“…In the United States, four million healthcare workers suffer needle-stick injuries annually, and in the middle east, 50% of needle-stick injuries were reported for nurses [79]. This was reported to be caused by unsafe and high-risk behavior of certain nurses that had significantly lower scores in EI [79]. This is in line with this study through error rate: with Self-Control (objective 2.2.4) and with two components of the BFI (objective 3.1.4).…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Bataweel¹

2023

OJN

View full text Add to dashboard Cite

Background: This study explored nursing personality traits (Big Five Inventory BFI), emotional intelligence (EI), and thinking styles (Rational, RS, and Experiential, ES) together with demographic data to see how they could relate and the implication of this on nurses and patient safety. Design: A cross-sectional study. Methods: Nursing sample (n = 435). Participants completed a self-report online survey, which included demographic information, followed by questionnaires to measure personality traits, thinking styles, and emotional intelligence. Results: Spearman's rank correlation was computed to assess the relationship between EI and Extraversion; there was a moderate positive correlation between the two variables, r = 0.487, p < 0.001. Spearman's rank correlation was computed to assess the relationship between EI and Agreeableness, and there was a strong positive correlation between the two variables, r = 0.731, p < 0.001. Spearman's rank correlation was computed to assess the re-How to cite this paper: Bataweel, A.O.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Bataweel¹

2023

OJN

View full text Add to dashboard Cite

show abstract

“…Overall risk in the Indian mining industry is still beyond the desired levels [3][4][5][6][7][8] . In general, multiple factors contribute to accidents in the workplace and are typically categorized into two broad categories: unsafe conditions and unsafe behaviors [9][10][11][12] . Researchers have proven that unsafe acts are caused by two factors: (1) internal factors such as risk tolerance, risk perception, and self-efficacy 13,14 , and (2) external factors like safety culture, work environment and conditions 15,16 .…”

Section: Application Of Wrapper Based Hybrid System For Classificatio...mentioning

confidence: 99%

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Kumar

Bhattacharjee

2023

Sci Rep

View full text Add to dashboard Cite

The degree to which an individual is willing to take risks i.e., risk tolerance is often cited as a significant causal element in the majority of workplace accidents. It is essential to determine the risk tolerance level of miners and utilise their risk profiles to design improved training modules, safety, recruitment, and deployment policies. This paper aims to identify the most critical factors (or features) influencing miners’ risk tolerance in the Indian coal industry and develop a robust prediction model to learn their risk tolerance levels. To do end, we first conducted a questionnaire survey representing the complete feature set (with 36 features) among 360 miners and divided their responses into five classes of risk tolerance. Next, we propose a wrapper based hybrid system that combines particle swarm optimization (PSO) and random forest (RF) to train a multi-class classifier with a subset of features. In general, the proposed system selects the best feature subset by iteratively generating different feature combinations using the PSO and training an RF classifier model to assess the effectiveness of the generated feature subsets for the F1-score. At last, we compared the PSO-RF with four traditional classification methods to evaluate its effectiveness in terms of precision, recall, F1-score, accuracy, goodness-of-fit, and area under the curve.

show abstract

“…In general, there are several contributing factors to workplace accidents and are typically categorized into two groups: unsafe conditions and unsafe behaviours [ [10] , [11] , [12] , [13] ]. An unsafe act is an action or behaviour that departs from accepted safety standards and may harm an individual or group.…”

Section: Introductionmentioning

confidence: 99%

Reducing workplace unsafe behaviour using risk classification, profiling, risk tolerance approach

Kumar

Bhattacharjee

2023

Heliyon

View full text Add to dashboard Cite

The impact of emotional intelligence and personality traits on the occurrence of unsafe behaviors and needle stick injuries among the nurses

Cited by 7 publications

References 35 publications

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Personality Traits, Thinking Styles, and Emotional Intelligence in Nursing, towards Healthcare Providers’ Characterization and Safer Patient Care

Application of wrapper based hybrid system for classification of risk tolerance in the Indian mining industry

Reducing workplace unsafe behaviour using risk classification, profiling, risk tolerance approach

Contact Info

Product

Resources

About