The role of empathy and emotional intelligence in nurses’ communication attitudes using regression models and fuzzy‐set qualitative comparative analysis models

Giménez-Espert, María del Carmen; Prado-Gascó, Vicente

doi:10.1111/jocn.14325

Cited by 41 publications

(43 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Despite these limitations, this study helps bridge a gap in the literature in relation to the influence of education and training in communication, EI, and empathy, providing a significant insight into this area. Its findings are therefore of particular interest given that the final outcome of effective nurse-patient communication is a reduction in human error (19) and direct and indirect health costs (4) and improved disease adaptation (6)(7) . The findings of this study suggest that these components of nursing care should occupy a more prominent position in the curriculums of degrees and training programs.…”

Section: Discussionmentioning

confidence: 99%

“…This 25-item questionnaire measures ACO across three dimensions: affective, cognitive, and behavioral. This instrument has been shown to have adequate psychometric properties (19) .…”

Section: Variables and Instrumentsmentioning

confidence: 99%

“…Because the items in the subscales are negatively worded and thus reverse scored, higher subscale scores indicate lower capacity for empathy. The JSE has been shown to have adequate psychometric properties (19) .…”

Section: Variables and Instrumentsmentioning

confidence: 99%

See 2 more Smart Citations

The influence of nurse education and training on communication, emotional intelligence, and empathy

Prado-Gascó

Giménez-Espert

Valero‐Moreno

2019

Rev. esc. enferm. USP

Self Cite

View full text Add to dashboard Cite

Objective: To determine the influence of nurse education and training on attitudes towards communication, emotional intelligence, and empathy. Method: A crosssectional study was conducted using three separate instruments to measure attitudes towards communication, empathy, and emotional intelligence, and two questions to determine the academic qualifications of the study participants. The effect of the variables was tested using one-way ANOVA, Pearson correlations, and hierarchical multiple linear regression. Results: The study sample comprised 438 nurses from hospitals in Valencia, Spain. Differences in subscale scores of the instruments according to degree level and specialized training were observed, showing that nurses with only a degree and less specialized training had lower capacity for empathy and emotional intelligence. The strongest correlations were found between the factors of the communication dimensions. Multiple linear regression showed that perspective taking and emotional clarity had the greatest predictive power. Conclusion: Degree level and specialized training were shown to influence the study variables and it is therefore necessary to prioritize education and training programs that promote the development of these skills to ensure improved service quality.Impacto de la formación educativa de los enfermeros sobre la comunicación, la inteligencia emocional y la empatía Impacto da formação educacional dos enfermeiros sobre a comunicação, a inteligência emocional e a empatia How to cite this article: Prado-Gasco VJ, Giménez-Espert MC, Valero-Moreno S. The influence of nurse education and training on communication, emotional intelligence, and empathy. Rev Esc Enferm USP. 2019;53:e03465.

show abstract

Section: Discussionmentioning

confidence: 99%

“…This 25-item questionnaire measures ACO across three dimensions: affective, cognitive, and behavioral. This instrument has been shown to have adequate psychometric properties (19) .…”

Section: Variables and Instrumentsmentioning

confidence: 99%

See 1 more Smart Citation

The influence of nurse education and training on communication, emotional intelligence, and empathy

Prado-Gascó

Giménez-Espert

Valero‐Moreno

2019

Rev. esc. enferm. USP

Self Cite

View full text Add to dashboard Cite

show abstract

“…To perform the fsQCA, the raw data from participants’ responses were transformed into fuzzy‐set responses. First, as suggested in the literature (Giménez‐Espert & Prado‐Gascó, ; Villanueva et al., ), all missing data were deleted and all constructs (variables) were re‐calibrated with values between 0–1. When we consider only two values, we proceed with 0 (not having the characteristic, fully outside the set, low values) – 1 (having the characteristic, fully in the set, high values).…”

Section: The Studymentioning

confidence: 99%

The relations of quality of life in patients with lupus erythematosus: Regression models versus qualitative comparative analysis

Rioja

Valero‐Moreno

Giménez-Espert

et al. 2019

Journal of Advanced Nursing

Self Cite

View full text Add to dashboard Cite

Background Lupus erythematosus (LE) is an autoimmune disease that can have negative repercussions on the quality of life (QL) of those who suffer from it. The QL can be influenced by socio‐demographic factors are related to the disease itself. Aims To analyse the associative power of socio‐demographic (age and sex) and medical variables (type of lupus, diagnostic time and symptomatically associated with lupus) on the QL in patients with lupus by comparing linear relations models and models based on comparative qualitative fuzzy analysis. Design This is a retrospective cross‐sectional design. Participants The sample consisted of 161 patients (88.4% female) diagnosed with LE between the ages of 18–66 years. Methods Data were collected between 2015 ‐ 2017 using the Lupus Erythematosus Quality of Life Questionnaire. Two different statistical methodologies were used: traditional regression models and qualitative comparative analysis models of fuzzy sets. Results The results of the regression model suggest that none of the variables considered could explain the QL of these patients. On the other hand, the results of the fuzzy models suggest that being female, young and a shorter time to diagnosis explain higher levels of QL in these types of patients. Conclusions Since nurses are the people who interact most with patients, detecting risk groups of patients with lupus respect to their QL. This can help develop intervention programs from a nursing perspective.

show abstract

“…When performing the fuzzy-set qualitative comparative analysis, the raw data from the participants' responses were transformed into fuzzy-set responses. First, all the missing data were deleted as suggested in the literature, and all constructs (variables) were calculated by multiplying their item scores (Villanueva et al, 2017;Giménez-Espert and Prado-Gascó, 2018;Navarro-Mateu et al, 2020). Before performing the analysis, the values were recalibrated between 0 and 1.…”

Section: Discussionmentioning

confidence: 99%

Psychosocial Factors and Chronic Illness as Predictors for Anxiety and Depression in Adolescence

et al. 2020

View full text Add to dashboard Cite

Adolescence is a challenging time when emotional difficulties often arise. Self-esteem, good relationships with peers, and emotional competences can buffer the effects of these difficulties. The difficulties can be even greater when coupled with the presence of a chronic physical illness (CD). Our goal is to analyze psychosocial factors and CD as predictors for anxiety and depression. It was compared the results of structural equation models (SEM) with models based on qualitative comparative analysis (QCA) to analyze the possible influence of these variables on levels of anxiety-depression in adolescents with and without CD. The sample consisted of 681 adolescents, between 12 and 16 years old (M = 13.94, SD = 1.32). 61.50% were girls and 13.40% (n = 222) presented a CD (mainly pneumo-allergic and endocrine). They were evaluated by the Hospital Anxiety and Depression Scale, the Self-esteem Questionnaire, the Emotional Competences Questionnaire and the Strengths and Difficulties Questionnaire. The results obtained by SEM show that low self-esteem, problems with peers and low emotional competencies predict anxiety in 41% of the variance and depression in 72%. The results obtained by QCA show that the different combinations of these variables explain between 24 and 61% of low levels of anxiety and depression and 47-55% of high levels. Our data show how the presence of a CD, low self-esteem, problems with peers and problems in emotional skills play a fundamental role in explaining levels of anxiety and depression. These aspects will help provide increased resources for emotional adjustment in the educational context, facilitating the transitions to be made by adolescents.

show abstract

The role of empathy and emotional intelligence in nurses’ communication attitudes using regression models and fuzzy‐set qualitative comparative analysis models

Abstract: To evaluate current practices, establish intervention strategies and evaluate their effectiveness. The evaluation of these variables and their relationships are important in creating a satisfied and sustainable workforce and improving quality of care and patient health.

Cited by 41 publications

References 50 publications

The influence of nurse education and training on communication, emotional intelligence, and empathy

The influence of nurse education and training on communication, emotional intelligence, and empathy

The relations of quality of life in patients with lupus erythematosus: Regression models versus qualitative comparative analysis

Psychosocial Factors and Chronic Illness as Predictors for Anxiety and Depression in Adolescence

Contact Info

Product

Resources

About