Emotional intelligence of nurses caring for COVID-19 patients: A cross-sectional study

Emotional intelligence of health personnel and safety climate in hospitals during the COVID-19 pandemic

OBJECTIVE

To analyze the relationship between the emotional intelligence of healthcare workers in a hospital environment and their perception of the safety climate in the COVID-19 pandemic.

METHOD

Cross-sectional, analytical study, carried out with 81 health workers who worked in hospitals during the pandemic, between September and November 2021. Data collection was carried out using an electronic form, which included a sociodemographic/occupational questionnaire and the Brazilian versions of the Safety Attitudes Questionnaire and the Schutte Self Test. Spearman's correlation test and simple and multiple linear regression analyses were applied.

RESULTS

An increase of 1 point in emotional intelligence levels resulted in an increase of 0.487 points in the perception of the safety climate. The most significant predictor of this perception was the ability to manage other people's emotions (β=0.334; p=0.003; R2=0.168).

CONCLUSION

A higher level of emotional intelligence in hospital healthcare workers was related to a greater perception of the safety climate during the COVID-19 pandemic.

Work-related flow and its correlates among frontline nurses during the COVID-19 pandemic

BACKGROUND

Ample evidence across non-healthcare fields highlights the role of work-related flow in enhancing resilience against work stress and work engagement. Understanding flow and its factors can support staff development and management.

AIMS

This study aimed to investigate the level of work-related flow and its associated factors among frontline nurses during the COVID-19 pandemic.

METHODS

A cross-sectional multicenter study included 336 nurses caring for COVID-19 patients between March and April 2022. Cluster random sampling was used to select 9 nurse groups from 29 Taiwanese hospitals specialized in COVID-19 care. A web survey link was shared on the selected nurses' social media. Hierarchical regression analyses examined predictor-outcome relationships, following the STROBE checklist for reporting findings.

RESULTS

Among demographic characteristics, sex (β = -0.11; p = 0.016) and living arrangement (β = -0.12; p = 0.017) reached statistical significance in model 3. Social support from family, friends, and significant others, managerial position, and sufficiency of personal protective equipment showed significant associations with work-related flow (all β > 0.12; p < 0.05). The variables included in the final model accounted for 35% of the variance in work-related flow for COVID-19 patient care tasks.

CONCLUSIONS

Flow experience is influenced by factors associated with demographics, work conditions, and social support. Nurse administrators should consider these factors when evaluating nurses' flow at work.

IMPLICATIONS FOR NURSING PRACTICE AND MANAGEMENT

Allocating care tasks to nurses based on their flow levels can be beneficial, particularly during healthcare crises. Ensuring a sufficient supply of personal protective equipment and offering social support to nurses are vital strategies for facilitating their flow experience in the workplace.

Profiling health professionals' personality traits, behaviour styles and emotional intelligence: a systematic review

BACKGROUND

Non-cognitive traits have been theorised to predict characteristics, career choice and outcomes of health professionals and could represent a homogenous group. This study aims to profile and compare personality traits, behaviour styles and emotional intelligence of health practitioners across a variety of professions.

METHODS

Empirical literature was systematically reviewed. A two-concept search strategy was applied to four databases (CINAHL, PubMed, Embase, ProQuest). Title/abstract and full text articles were screened against inclusion and exclusion criteria. Methodological quality was assessed using Mixed Methods Appraisal Tool. Data was synthesised narratively and meta-aggregated where feasible.

RESULTS

Three hundred twenty-one studies representing 153 assessment tools of personality (n = 83 studies), behaviour (n = 8), and emotional intelligence (n = 62) were included. Most studies (n = 171) explored personality (medicine, nursing, nursing assistants, dentistry, allied health, paramedics), revealing variation in traits across professions. Behaviour styles were least measured with only ten studies exploring these across four health professions (nursing, medicine, occupational therapy, psychology). Emotional intelligence (n = 146 studies) varied amongst professions (medicine, nursing, dentistry, occupational therapy, physiotherapy, radiology) with all exhibiting average to above-average scores.

CONCLUSION

Personality traits, behaviour styles and emotional intelligence are all key characteristics of health professionals reported in the literature. There is both heterogeneity and homogeneity within and between professional groups. The characterisation and understanding of these non-cognitive traits will aid health professionals to understand their own non-cognitive features and how these might be useful in predicting performance with potential to adapt these to enhance success within their chosen profession.

The Daily Basic Psychological Need Satisfaction and Work Engagement of Nurses: A ‘Shortitudinal’ Diary Study

Nurses’ satisfaction and work engagement have been linked to patient outcomes. Nightshift nurses provide healthcare to the population and experience unique challenges in performing their healthcare tasks. Therefore, the current study aimed to investigate the daily basic needs satisfaction and work engagement of nightshift nurses in accordance with the satisfaction of three basic psychological needs as indicated by the Self-Determination Theory. A quantitative, ‘shortitudinal’ design (diary study; over a few days) with a multi-level research approach using a daily diary survey method was completed by a convenience sample of nurses working the nightshift in a public hospital (n = 33). The results revealed that the daily need for autonomy and need for relatedness did not significantly predict variance in daily work engagement. However, need for competence did significantly predict variance in daily work engagement, and general emotional load explained significant variability in daily need satisfaction of competence. Lastly, general role clarity had a negative impact on the daily variability in work engagement. This study provides healthcare organisations with explanations for variance in nursing performance and suggests possible interventions to address nursing outcomes in accordance with the three basic needs of nightshift nurses in daily activity.