Department of Nursing, Faculty of Health Sciences, European University of Valencia, Valencia, Spain.
Department of Social Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain.
J Clin Nurs. 2018 Jul;27(13-14):2661-2672. doi: 10.1111/jocn.14325. Epub 2018 May 11.
To analyse link between empathy and emotional intelligence as a predictor of nurses' attitudes towards communication while comparing the contribution of emotional aspects and attitudinal elements on potential behaviour.
Nurses' attitudes towards communication, empathy and emotional intelligence are key skills for nurses involved in patient care. There are currently no studies analysing this link, and its investigation is needed because attitudes may influence communication behaviours.
Correlational study.
To attain this goal, self-reported instruments (attitudes towards communication of nurses, trait emotional intelligence (Trait Emotional Meta-Mood Scale) and Jefferson Scale of Nursing Empathy (Jefferson Scale Nursing Empathy) were collected from 460 nurses between September 2015-February 2016. Two different analytical methodologies were used: traditional regression models and fuzzy-set qualitative comparative analysis models.
The results of the regression model suggest that cognitive dimensions of attitude are a significant and positive predictor of the behavioural dimension. The perspective-taking dimension of empathy and the emotional-clarity dimension of emotional intelligence were significant positive predictors of the dimensions of attitudes towards communication, except for the affective dimension (for which the association was negative). The results of the fuzzy-set qualitative comparative analysis models confirm that the combination of high levels of cognitive dimension of attitudes, perspective-taking and emotional clarity explained high levels of the behavioural dimension of attitude.
Empathy and emotional intelligence are predictors of nurses' attitudes towards communication, and the cognitive dimension of attitude is a good predictor of the behavioural dimension of attitudes towards communication of nurses in both regression models and fuzzy-set qualitative comparative analysis. In general, the fuzzy-set qualitative comparative analysis models appear to be better predictors than the regression models are.
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.
分析同理心和情绪智力之间的关系，将其作为护士沟通态度的预测指标，并比较情绪和态度要素对潜在行为的贡献。
护士对沟通、同理心和情绪智力的态度是参与患者护理的护士的关键技能。目前还没有分析这种联系的研究，需要进行调查，因为态度可能会影响沟通行为。
相关性研究。
为了实现这一目标，我们在 2015 年 9 月至 2016 年 2 月期间，从 460 名护士那里收集了自我报告的工具（护士沟通态度量表、特质情绪智力量表（Trait Emotional Meta-Mood Scale）和杰斐逊护理同理心量表（Jefferson Scale Nursing Empathy））。使用了两种不同的分析方法：传统回归模型和模糊集定性比较分析模型。
回归模型的结果表明，态度的认知维度是行为维度的显著正向预测因子。同理心的观点采择维度和情绪智力的情绪清晰度维度是沟通态度维度的显著正向预测因子，除了情感维度（其关联为负）。模糊集定性比较分析模型的结果证实，高认知维度、观点采择和情绪清晰度的组合可以解释态度行为维度的高水平。
同理心和情绪智力是护士沟通态度的预测因子，态度的认知维度是护士沟通态度行为维度的良好预测因子，在回归模型和模糊集定性比较分析中都是如此。一般来说，模糊集定性比较分析模型似乎比回归模型更能预测。
评估当前实践、制定干预策略并评估其效果。评估这些变量及其关系对于创造一个满意和可持续的劳动力以及提高护理质量和患者健康非常重要。
