Emotional Intelligence of Primary Health Care Nurses: A Longitudinal Randomized Clinical Trial
RESEARCH ARTICLE

Emotional Intelligence of Primary Health Care Nurses: A Longitudinal Randomized Clinical Trial

The Open Public Health Journal 09 Aug 2024 RESEARCH ARTICLE DOI: 10.2174/0118749445329730240729162817

Abstract

Background

In recent years, emotional intelligence has become essential in the health profession.

Objective

This study recorded, investigated, and evaluated the emotional intelligence of primary health care nurses by means of an educational intervention in Greece.

Methods

This randomized clinical trial was conducted using a longitudinal experimental design. After obtaining written informed consent from each participant, the total study sample consisted of 101 higher education nurses working in primary health care in Greece. Two groups were created: the control group (51 participants) and the intervention group (50 participants). Both groups initially completed the questionnaire (pre-test). This was immediately followed by an educational intervention where only the intervention group participated, while there was no educational intervention in the control group. Finally, all participants, regardless of group, completed again the same questionnaire (post-test). The data were analyzed using a Kolmogorov-Smirnov test, Pearson's x2 test, Fisher's exact test, Student's t-test, non-parametric Mann-Whitney test, and the repeated measurement ANOVA.

Results

The study results indicated that the educational intervention had a positive effect on the intervention group, as the levels of emotional intelligence showed significant changes between the first and second measurements. Specifically, in the intervention group, in the “self-emotion appraisal” dimension, there was an increase in emotional scores by 0.38 (p-value 0.001) between the two measurements. In the “emotion appraisal of others” dimension, there was an increase of 0.27 (p-value 0.011); for the dimension “use of emotion”, it was 0.26 (p-value 0.05), and for the dimension “regulation of emotion”, it was 0.37 (p-value 0.008).

Conclusion

The interventions aiming at developing emotional intelligence have a positive impact, as they improve nurses’ emotional skills. Emotional intelligence courses may be included in the nursing department curriculum, as well as in similar programs for nursing staff.

Clinical Trial Registration Reference

IRCT 20240126060816N1

Keywords: Emotional intelligence, Nurses, Primary health care facilities, Educational intervention, Emotional regulation skills, Longitudinal experimental study.

1. INTRODUCTION

Recently, the importance of Emotional Intelligence (EI) in the health field has been increasingly emphasized with relevant references in nursing literature [1-4]. EI refers to a person's ability to recognize both their own emotions and those of others, successfully control them, and encourage self-motivation [5]. EI is considered of particular interest and value to nurses, given that a large part of their work is of an emotional nature [6-8].

Several researchers have been engaged in investigating the relationship between work and emotions. In particular, the studies focused on the increased workload, the management of emotions in the work context, and finally, the effect that emotions have on the health of health professionals [9-11]. Due to the special working conditions, the use and development of emotional skills is deemed necessary. This can help employees do their jobs better while safeguarding them against stressful situations [12, 13].

Emotions influence the professional relationships of healthcare professionals, both intrapersonally and interpersonally, as well as the decisions regarding patients’ health. In the healthcare sector, it has been observed that comprehending diverse emotions and their impact on the organizational context of work and leadership poses a challenge [13].

According to Freshwater and Stickley [14], for the best possible delivery of health care, nurses are required to interact with patients, physicians, and other specialties of health professionals consistently. The interaction between nurses and patients is of particular importance to nursing practice. This relationship is described as a complex process that involves nurses' perception, comprehension, and application of the emotions that the patients experience in order to effectively manage those emotions.

Health professionals should ideally exhibit experiential skills in regard to empathy as an EI dimension. This skill is the ability to approach patients' inner lives and learn as much as possible while acknowledging the patients’ problems. Communication skills are then used by health professionals in order to achieve the necessary control, clarification, support, understanding, reconstruction, and reflection on patients' ideas, perceptions, and emotions. Finally, the capacity to establish a mutually trusting long-term relationship with a patient serves as a motivator for healthcare professionals to emotionally connect with their patients. These long-term relationships are important to therapeutic outcomes, as they can contribute to listening and telling patients' stories.

EI is not innate in people, but it can be learned. Emotional behavior can be learned and developed when appropriate learning experiences are provided. That is, it can be developed through emotional learning programs [15].

Programs designed to enhance EI are based on EI models and theories of social and emotional development. Their aim is to develop emotions and social skills in issues related to mental health in order to improve the regulation of emotions, interpersonal relationships, self-esteem, and communication [16]. Engaging in a certain set of social behaviors, like recognizing and addressing emotions or communicating with others in a way that demonstrates “empathy”, can help in developing social skills [17]. According to Nelis et al. [18], the goal of EI training is to enhance the mood of trainees.

For EI intervention programs to be more successful, Triliva and Giovanni [17] outline four stages. During the planning stage, the needs, motivation, and level of readiness of the team are evaluated. During the implementation stage, the program is put into practice, with a focus on goal-setting, cultivating strong relationships between the group and the coordinator, practicing, and receiving feedback. The application of newly gained information and capabilities to settings outside the group is taken into consideration during the acquisition stage. Finally, in the evaluation stage, the program is evaluated both on an individual and a group level.

1.1. Purpose

The aim of this study was to record, investigate, and evaluate the EI of primary health care (PHC) nurses before and after an educational intervention or without an educational intervention.

1.2. Research Hypotheses

1.2.1. Hypothesis 1

Nurses undergoing the educational intervention will demonstrate a significant increase in emotional intelligence scores compared to those in the control group.

1.2.2. Hypothesis 2

Νurses undergoing the educational intervention, of greater age and a higher level of education, will demonstrate a significant increase in emotional intelligence scores.

2. METHODS

2.1. Research Design and Participants

A sample of two points in time was used for a longitudinal experimental design. After obtaining written informed consent from each participant, a questionnaire was implemented, and nurses employed in Greek PHC facilities received an educational intervention. Regarding the research sample, two groups were created: the control group and the intervention group. The nurses in the intervention group initially completed the questionnaire (pre-test), then immediately after the educational intervention, within one week, they completed the questionnaire again (post-test). In contrast to the intervention group, the nurses who made up the control group completed the questionnaire in the first phase. There was no educational intervention, and immediately afterward, in the second phase, the questionnaire was completed again within one month.

Data was collected by convenience sampling, which involved PHC nurses from a wide variety of geographical areas in Greece. Participants were randomly assigned to either the control or the experimental group with a 1:1 allocation using a computerized random number generator by the researcher. The study was single-blind because only the researcher knew which intervention each participant was receiving.

The survey was conducted from May, 2022, to December, 2022. The study sample consisted of 101 higher education nurses, the heads of the nursing departments, and subordinate nursing staff from various types of PHC facilities, such as Health Centers, Local Health Groups, Mental Health Centers, etc. The intervention group included a sample of 50 people, while the control group sample was 51 people. According to the power analysis, for this particular survey design, it was estimated that the total number of participants should be at least 100 (50 per group), which provides 90% power with an effect size equal to 0.30 for the between-group comparison, 95% power with an effect size equal to 0.18 for the comparison between two-time points, and 95% power with an effect size equal to 0.18 to control for the interaction term.

Only the nurses in the intervention group participated in the educational interventions. These interventions were conducted in PHC facilities, and their themes, which were implemented utilizing recommendations, were awareness, significance, value, advantages, and concerns associated with EI. Case studies were discussed at the conclusion of the lecture, providing an opportunity for debate and introspection. The intervention lasted approximately one hour. Unfortunately, due to the COVID-19 pandemic and the associated restrictions in place at the time, it was not possible to conduct a systematic and comprehensive intervention aiming at EI development.

2.2. Sample Selection

2.2.1. Inclusion Criteria

The inclusion criteria were:

The nurses:

  • Speak the Greek language,
  • Have a tertiary education in nursing,
  • Consent to their participation in this research,
  • Work in PHC institutions.

2.2.2. Exclusion Criteria

The exclusion criteria were:

  • Other paramedical staff or supervisors, who practice nursing work without holding a nursing diploma or degree (e.g., midwives),
  • Nursing assistants who have had two years of nursing training,
  • Individuals working in secondary and tertiary health institutions,
  • People who do not consent to their participation in this research.

The CONSORT flowchart illustrates the progression of study participants through the phases of the randomized trial, from assessment of eligibility to analysis. Exclusions, allocations to intervention/control groups, follow-up, and final analysis numbers are detailed in the chart below (Fig. 1):

2.3. Questionnaire and Research Tools

The research was conducted using a questionnaire. The first part of the questionnaire asks for the filling in of demographic, social, and employment characteristics, as well as questions related to job satisfaction. The second part includes the Wong and Law Emotional Intelligence Scale.

2.4. Wong and Law Emotional Intelligence Scale (WLEIS)

It is considered one of the most reliable self-report psychometric research tools for assessing EI, as it is arguably one of the most widely used research tools worldwide. The scale is based on four dimensions according to the theory of Davies et al. [19] based on the model of Mayer and Salovey [20]. This scale examines both our own emotions and those of others, as well as the ability to manage and regulate them. The WLEIS has been translated and validated into the Greek language by Professor Kafetsios Konstantinos [21]. For the purposes of our research, permission has been requested and granted.

2.5. Research Ethics

Regarding our research study, upon request, the conduct of the research was approved by the Research Ethics Committee of the University of West Attica (No. Prot: 12758 16/02/2022) and the scientific councils of all health districts of Greece. Furthermore, the study was registered in the Iranian Registry of Clinical Trials, with registration reference: IRCT 20240126060816N1. Written informed consent was obtained from all participants before their involvement in the study. The confidentiality and anonymity of participant data were rigorously observed throughout all stages of the research process, ensuring compliance with ethical standards and safeguarding the privacy and rights of the participants.

2.6. Statistical Analysis

Using the Kolmogorov-Smirnov test, the distributions of the quantitative variables were tested for normality. Those that were normally distributed were described using mean values and standard deviations (SD), while for those that were not normally distributed, medians and interquartile ranges were additionally used. Absolute (N) and relative (%) frequencies were used to describe qualitative variables. To compare proportions, Pearson's x2 test or Fisher's exact test was used where necessary. Student's t-test was used to compare quantitative variables between the two groups. The non-parametric Mann-Whitney test was used to compare ordinal variables between the two groups. Repeated-measures analysis of variance (ANOVA) was used to test for differences in measurements between groups and over time. The assumptions of normality and sphericity of the model were checked and were not violated.

Fig. (1).

The CONSORT 2010 flowchart.

Moreover, with the above method, it was assessed whether the degree of change over time of the scales under study was different between the groups and whether it also depended on their demographic and employment data. To test the relationship between two quantitative variables, Pearson's correlation coefficient (r) was used. Significance levels were two-sided, and statistical significance was set at 0.05. The statistical program SPSS 26.0 was used for the analysis.

3. RESULTS

One hundred and one participants were entered in the study (50 in the intervention group and 51 in the control group). Their characteristics are presented in Table 1 by group. No significant differences were found between the two groups as far as their characteristics are concerned.

A significant difference was only noted in terms of good working conditions (logistical equipment), where participants in the control group were significantly more satisfied compared to participants in the intervention group (Table 2).

At baseline, emotional intelligence was similar in both groups. At follow-up, emotional intelligence was significantly greater in the intervention group regarding all subscales. The degree of change of all EI scores differed significantly between the two groups since significant increases were detected only in the intervention group (Table 3 and Fig. 2ad). The effect sizes of the change for the intervention group were 0.13 for self-emotion appraisal, 0.10 for emotional appraisal of others, 0.07 for the use of emotion, and 0.11 for regulation of emotion.

Fig. (2).

Changes in EI scores by group.

Table 1.
Sample characteristics by group.
- Group P
Control
(Ν=51; 50.5%)
Intervention
(Ν=50; 49.5%)
N (%) N (%)
Gender - - -
Men 4 (7.8) 7 (14.0) 0.321+
Women 47 (92.2) 43 (86.0)
Age, mean (SD) 41.2 (9.3) 40.1 (6.4) 0.478 ‡
Family status - - -
Unmarried 16 (31.4) 9 (18.0) 0.313++
Married 33 (64.7) 37 (74.0)
Divorced 1 (2.0) 3 (6.0)
Widowed 1 (2.0) 1 (2.0)
Educational level - - -
Technological university 23 (45.1) 22 (44.0) 0.939+
University 6 (11.8) 5 (10.0)
MSc 22 (43.1) 23 (46.0)
Specialty 4 (7.8) 6 (12.0) 0.525++
Working position - - -
Employee 41 (80.4) 42 (84.0) 0.636+
Supervisors 10 (19.6) 8 (16.0)
Primary care facility - - -
Health center 41 (80.4) 42 (84.0) 0.715++
Local Health Groups 8 (15.7) 5 (10.0)
Other 2 (3.9) 3 (6.0)
Working status: - - -
Permanent employee 31 (60.8) 35 (70.0) 0.331+
Contract employee 20 (39.2) 15 (30.0)
Working shift - - -
Morning 13 (25.5) 10 (20.0) 0.063+
Morning and afternoon 17 (33.3) 28 (56.0)
24h 21 (41.2) 12 (24.0)
Years of working experience as a nurse - - -
1-10 19 (37.3) 12 (24.0) 0.082++
11-20 16 (31.4) 28 (56.0)
21-30 11 (21.6) 8 (16.0)
31+ 5 (9.8) 2 (4.0)
Job satisfaction - - -
None 2 (3.9) 1 (2.0) 0.383++
A little 2 (3.9) 7 (14.0)
Moderate 22 (43.1) 11 (22.0)
Much 18 (35.3) 21 (42.0)
Very much 7 (13.7) 10 (20.0)
Note: +Pearson's chi-square test;++Fisher's exact test; ‡Student's t-test.
Table 2.
Data on job satisfaction of individuals.
- Group P+
Control Intervention
N % N %
Salary benefits Not at all 2 3.9 1 2.0 0,711
Slightly 6 11.8 4 8.0
Moderately 10 19.6 11 22.0
Very 13 25.5 14 28.0
Very much 20 39.2 20 40.0
Teamwork/collaboration between colleagues Not at all 2 3.9 0 0.0 0,514
Slightly 2 3.9 1 2.0
Moderately 4 7.8 5 10.0
Very 21 41.2 20 40.0
Very much 22 43.1 24 48.0
Collaborativeness/good interpersonal relationships Not at all 1 2.0 0 0.0 0,495
Slightly 2 3.9 2 4.0
Moderately 6 11.8 4 8.0
Very 19 37.3 19 38.0
Very much 23 45.1 25 50.0
Project recognition/reward from management Not at all 6 11.8 3 6.0 0,668
Slightly 5 9.8 5 10.0
Moderately 8 15.7 7 14.0
Very 12 23.5 16 32.0
Very much 20 39.2 19 38.0
Project recognition/reward from patients Not at all 3 5.9 1 2,0 0,588
Slightly 5 9.8 1 2,0
Moderately 3 5.9 11 22.0
Very 11 21.6 13 26.0
Very much 29 56.9 24 48.0
Utilization of skills/qualifications Not at all 3 5.9 1 2.0 0,304
Slightly 2 3.9 3 6.0
Moderately 13 25.5 8 16.0
Very 14 27.5 16 32.0
Very much 19 37.3 22 44.0
Development opportunities/incentives Not at all 6 11.8 2 4.0 0,112
Slightly 7 13.7 5 10.0
Moderately 14 27.5 12 24.0
Very 10 19.6 13 26.0
Very much 14 27.5 18 36.0
Good working conditions (logistical equipment) Not at all 5 9.8 1 2.0 0,033
Slightly 5 9.8 2 4.0
Moderately 9 17.6 9 18.0
Very 16 31.4 13 26.0
Very much 16 31.4 25 50.0
Adequacy of staff Not at all 6 11.8 2 4.0 0.628
Slightly 7 13.7 1 2.0
Moderately 5 9.8 11 22.0
Very 9 17.6 15 30.0
Very much 24 47.1 21 42.0
Permanence in the public sector Not at all 10 19.6 3 6.0 0.464
Slightly 2 3.9 4 8.0
Moderately 8 15.7 11 22.0
Very 16 31.4 16 32.0
Very much 15 29.4 16 32.0

Before the intervention, the scores of the participants in the “self-emotion appraisal” dimension did not differ significantly depending on the elements in the table above. After the intervention, the score did not differ significantly according to the elements in the table above. Over time, the score in the “self-emotion appraisal” dimension increased significantly in men and women, in participants who were under 40 years old, in those who had a university education or holders of a master's degree, in those who did not have a specialty, in those who worked in a health center, in permanent employees, in those who had rotating shifts, in those with 11-20 years of service, and in those who were not at all to moderately satisfied with their work in general (Table 4).

Table 3.
Changes in emotional intelligence subscales by group.
- Group Pre Post Change P2 P3
Mean (SD) Mean (SD) Mean (SD)
Self emotion appraisal Control 5.49 (0.95) 5.54 (0.87) 0.05 (0.6) 0.640 0.049
Intervention 5.59 (0.91) 5.97 (0.67) 0.38 (1.00) 0.001 -
- P1 0.588 0.007 - - -
Emotion appraisal of others Control 5.54 (0.94) 5.39 (0.92) -0.15 (0.63) 0.161 0.005
Intervention 5.63 (0.88) 5.9 (0.67) 0.27 (0.84) 0.011 -
  P1 0.631 0.002 - - -
Use of emotion Control 5.38 (1.14) 5.33 (1.11) 0.03 (0.67) 0.679 0.022
Intervention 5.39 (1.02) 5.74 (0.88) 0.26 (1.01) 0.005 -
  P1 0.944 0.044 - - -
Regulation of emotion Control 4.85 (1.24) 4.78 (1.22) -0.06 (0.83) 0.637 0.026
Intervention 4.88 (1.15) 5.25 (0.96) 0.37 (1.08) 0.008 -
  P1 0.886 0.035 - - -
Note: 1p-value for group effect 2p-value for time effect 3p-value for interaction group *time effect.
Table 4.
Changes in the score on the dimension "self-emotion appraisal" according to the demographic and job characteristics of the participants in the intervention group.
- Self Emotion Appraisal P2 P3
Pre Post Change
Mean
(SD)
Mean
(SD)
Mean
(SD)
Gender
Men 5.15 (0.89) 6.04 (0.6) 0.89 (1.31) 0.021 0.149
Women 5.66 (0.9) 5.96 (0.68) 0.3 (0.93) 0.050 -
P1 0.167 0.782 - - -
Age
 
<40 5.38 (0.92) 5.92 (0.75) 0.54 (1.08) 0.009 0.264
>=40 5.8 (0.86) 6.02 (0.58) 0.22 (0.91) 0.275 -
P1 0.104 0.601 - - -
Educational level
 
Τ.Ε. 5.54 (1.1) 5.91 (0.74) 0.37 (1.12) 0.089 0.970
U.Ε./ Postgraduate 5.63 (0.74) 6.02 (0.62) 0.38 (0.91) 0.050 -
P1 0.709 0.573 - - -
Specialty
 
No 5.57 (0.94) 5.99 (0.69) 0.42 (1.02) 0.008 0.435
Yes 5.76 (0.65) 5.83 (0.52) 0.08 (0.86) 0.852 -
P1 0.638 0.598 - - -
Primary care facility Health Center 5.64 (0.9) 5.96 (0.62) 0.32 (0.92) 0.043 0.346
Other 5.31 (0.97) 6 (0.93) 0.69 (1.38) 0.058 -
P1 0.350 0.891 - - -
Working Status
 
Permanent employee 5.61 (0.87) 5.98 (0.63) 0.37 (0.95) 0.035 0.924
Contract employee 5.55 (1.03) 5.95 (0.78) 0.4 (1.14) 0.131 -
P1 0.838 0.891 - - -
Working Shift Morning shift 5.78 (0.83) 5.9 (0.52) 0.12 (0.5) 0.695 0.374
Rotating shift 5.54 (0.93) 5.99 (0.7) 0.44 (1.08) 0.007 -
P1 0.479 0.715 - - -
Years of working experience as a nurse 1-10 5.58 (0.79) 5.73 (0.7) 0.15 (0.89) 0.613 0.284
11-20 5.39 (0.95) 5.97 (0.69) 0.58 (1.09) 0.003 -
>20 6.15 (0.75) 6.25 (0.49) 0.1 (0.77) 0.752 -
P1 0.076 0.192 - - -
Job Satisfaction  Not at all to Moderately 5.5 (0.91) 5.97 (0.59) 0.47 (1.07) 0.005 0.213
Very/ Very much 5.95 (0.84) 5.98 (0.95) 0.03 (0.57) 0.937 -
P1 0.165 0.979 - - -
Note: 1p-value for the difference between groups; 2p-value for the difference between measurements.
3p-value for repeated ANOVA measurements. T.Ε., technological education; U.E., university education.

The degrees of change in this dimension did not differ significantly according to the data in the table above. In the “emotion appraisal of others” dimension, the participants’ scores did not differ significantly before and after the intervention. Over time, the score in the “emotion appraisal of others” dimension increased significantly in men, in participants under 40 years old, in those without a specialty, in those working in other primary care facilities, in those who had rotating shifts, in those with 11-20 years of service, and in those who were not at all to moderately satisfied with their work in general (Table 5).

Table 5.
Changes in the score on the dimension "emotion appraisal of others" according to the demographic and job characteristics of the participants in the intervention group.
- Emotion Appraisal of Others P2 P3
Pre Post Change
Mean
(SD)
Mean
(SD)
Mean
(SD)
Gender Men 5.05 (0.85) 5.71(0.64) 0.67(0.95) 0.040 0.186
Women 5.72 (0.85) 5.93 (0.68) 0.21 (0.82) 0.108 -
P1 0.059 0.433 - - -
Age
 
<40 5.59 (0.73) 6.01 (0.54) 0.42 (0.8) 0.017 0.234
>=40 5.66 (1.02) 5.79 (0.77) 0.13 (0.88) 0.443 -
P1 0.791 0.248 - - -
Educational Level
 
Τ.Ε. 5.54 (0.98) 5.77 (0.6) 0.23 (1) 0.202 0.778
U.Ε./ Postgraduate 5.7 (0.8) 6 (0.71) 0.3 (0.72) 0.065 -
P1 0.531 0.236 - - -
Specialty
 
No 5.65 (0.9) 5.94 (0.65) 0.28 (0.82) 0.032 0.810
Yes 5.43(0.76) 5.63 (0.83) 0.19 (1.08) 0.579 -
P1 0.564 0.287 - - -
Primary Care Facility   Health Center 5.65 (0.89) 5.86 (0.71) 0.21 (0.83) 0.117 0.202
Other 5.5 (0.87) 6.13 (0.35) 0.63 (0.91) 0.040 -
P1 0.660 0.304 - - -
Working Status
 
Permanent employee 5.59 (0.92) 5.87 (0.72) 0.28 (0.85) 0.055 0.900
Contract employee 5.72 (0.79) 5.97 (0.54) 0.25 (0.85) 0.262 -
P1 0.639 0.649 - - -
Working
Shift
 
Morning Shift 5.7 (0.9) 5.78(0.56) 0.08(0.64) 0.781 0.412
Rotating shift 5.61 (0.88) 5.93 (0.7) 0.32 (0.89) 0.020 -
P1 0.771 0.514 - - -
Years of Working Experience as a Nurse 1-10 5.73 (0.55) 5.88 (0.66) 0.15 (0.69) 0.553 0.386
11-20 5.43 (1.01) 5.85 (0.68) 0.42 (0.87) 0.012 -
>20 6.05(0.66) 6.08 (0.68) 0.02 (0.92) 0.926 -
P1 0.144 0.656 - - -
Job Satisfaction
 
Not at all to Moderately 5.55 (0.87) 5.87 (0.64) 0.32 (0.92) 0.020 0.412
Very/ Very much 5.95 (0.86) 6.03 (0.8) 0.08 (0.39) 0.781 -
P1 0.195 0.514 - - -
Note: 1p-value for the difference between groups; 2p-value for difference between measurements.
3p-value for repeated ANOVA measurements. T.Ε., technological education; U.E., university education.

The degrees of change in this dimension did not differ significantly according to the data in the table above. Before the intervention, the score in the “use of emotion” dimension did not differ significantly. After the intervention, participants with more than 20 years of service had a significantly lower score compared to those with a maximum of 10 years of service (p=0.028), as obtained after Bonferroni correction. The scores of the rest of the elements in the table did not differ significantly after the intervention. Over time, the score in the “use of emotion” dimension increased significantly in men, in participants who were at least 40 years old, in those who had a university education or a master's degree, in those without a specialty, in those working in other primary care facilities, in permanent employees, in those with 11-20 years of service, and in those who were not at all to moderately satisfied with their work in general (Table 6).

The degrees of change in this dimension differed significantly according to gender, and in particular, the greatest increase occurred in men. Before and after the intervention, the scores of the participants in the “regulation of emotion” dimension did not differ significantly (Table 7).

Over time, the score on the “regulation of emotion” dimension increased significantly in women, in participants under 40 years of age, in those who had a university education or a postgraduate degree, in those without a specialty, in those working in other primary care facilities, in those who had rotating shifts, in those with 11-20 years of service, and in those who were not at all to moderately satisfied with their work in general. The degrees of change in this dimension did not differ significantly according to the data in the table above.



Table 6.
Changes in the score on the "use of emotion" dimension according to the demographic and job characteristics of the participants in the intervention group.
- Use of Emotion P2 P3
Pre Post Change
Mean
(SD)
Mean
(SD)
Mean
(SD)
Gender Men 4.91 (0.8) 5.96(0.68) 1.05(0.92) 0.006 0.044
Women 5.47 (1.04) 5.7 (0.91) 0.23(0.98) 0.135 -
P1 0.182 0.464 - - -
Age
 
<40 5.37 (0.77) 5.6 (0.95) 0.23 (1) 0.253 0.456
>=40 5.42 (1.24) 5.87 (0.8) 0.45(1.02) 0.031 -
P1 0.852 0.283 - - -
Educational Level
 
Τ.Ε. 5.24 (1.08) 5.49 (0.92) 0.24 (1.2) 0.266 0.546
U.Ε./ Postgraduate 5.51 (0.98) 5.93 (0.81) 0.42(0.85) 0.034 -
P1 0.369 0.080 - - -
Specialty
 
No 5.44 (1.04) 5.78 (0.88) 0.34(1.06) 0.031 0.979
Yes 5.02 (0.88) 5.38 (0.9) 0.35 (0.63) 0.401 -
P1 0.349 0.291 - - -
Primary Care Facility  Health Center 5.44 (1.06) 5.69 (0.91) 0.25(1.01) 0.114 0.126
Other 5.13 (0.81) 5.97 (0.71) 0.84(0.93) 0.020 -
P1 0.424 0.419 - - -
Working Status
 
Permanent employee 5.34 (1.1) 5.85 (0.77) 0.51 (0.9) 0.004 0.071
Contract employee 5.52 (0.84) 5.47 (1.09) -0.05(1.16) 0.845 -
P1 0.580 0.161 - - -
Working Shift
 
Morning shift 5.35 (1.12) 5.8 (0.9) 0.45 (0.76) 0.169 0.710
Rotating shift 5.4 (1.01) 5.72 (0.89) 0.32(1.07) 0.056 -
P1 0.884 0.797 - - -
Years of Working Experience as a Nurse 1-10 5.42 (0.83) 5.23 (1.09) -0.19(1.07) 0.508 0.070
11-20 5.18 (1.16) 5.79 (0.74) 0.6 (1.04) 0.002 -
>20 5.95 (0.56) 6.2 (0.73) 0.25(0.55) 0.421 -
P1 0.124 0.029 - - -
Job Satisfaction
 
Not at all to Moderately 5.27 (1.03) 5.73 (0.77) 0.46(0.94) 0.005 0.102
Very/ Very much 5.9 (0.86) 5.78 (1.29) -0.13(1.18) 0.692 -
P1 0.079 0.874 - - -
Note: 1p-value for the difference between groups; 2p-value for the difference between measurements.
3p-value for repeated ANOVA measurements. T.Ε., technological education; U.E., university education.
Table 7.
Changes in the score on the "regulation of emotion" dimension according to the demographic and job characteristics of the participants in the intervention group.
- Regulation of Emotion P2 P3
Pre Post Change
Mean
(SD)
Mean
(SD)
Mean
(SD)
Gender
Men 4.23 (1.31) 4.75(1.55) 0.52 (1.9) 0.212 0.692
Women 4.99 (1.11) 5.33(0.83) 0.34 (0.91) 0.044 -
P1 0.108 0.138 - - -
Age
 
<40 4.66 (1.08) 5.18(0.89) 0.52 (1.12) 0.021 0.337
>=40 5.1 (1.2) 5.32(1.04) 0.22 (1.03) 0.312 -
P1 0.185 0.611 - - -
Educational Level
 
Τ.Ε. 4.8 (1.3) 5.09(1.12) 0.29 (1.22) 0.216 0.657
U.Ε./ Postgraduate 4.95 (1.04) 5.38(0.81) 0.43 (0.97) 0.042 -
P1 0.662 0.303 - - -
Specialty
 
No 4.92 (1.12) 5.29(0.94) 0.37 (1.1) 0.029 0.977
Yes 4.6 (1.44) 4.96(1.16) 0.36 (0.94) 0.427 -
P1 0.532 0.432 - - -
Primary Care Facility Health Center 4.97 (1.18) 5.21(1.01) 0.25 (1.01) 0.134 0.069
Other 4.44 (0.94) 5.44(0.62) 1 (1.25) 0.010 -
P1 0.238 0.551 - - -
Working Status
 
Permanent employee 4.92 (1.18) 5.27 (1) 0.35 (1.03) 0.065 0.836
Contract employee 4.78 (1.13) 5.2 (0.87) 0.42 (1.22) 0.144 -
P1 0.695 0.812 - - -
Working Shift
 
Morning shift 5 (1.4) 5.28(0.98) 0.28 (0.61) 0.427 0.764
Rotating Shift 4.85 (1.1) 5.24(0.97) 0.39 (1.17) 0.027 -
P1 0.722 0.928 - - -
Years of Working Experience as a Nurse 1-10 4.85 (1.02) 4.9(0.99) 0.04 (0.92) 0.894 0.493
11-20 4.74 (1.3) 5.21(0.98) 0.48 (1.24) 0.024 -
>20 5.33 (0.78) 5.78(0.68) 0.45 (0.7) 0.195 -
- P1 0.389 0.095 - - -
Job Satisfaction
 
Not at all to Moderately 4.75 (1.15) 5.19 (1) 0.44 (1.13) 0.013 0.342
Very/ Very much 5.4 (1.08) 5.48(0.78) 0.08 (0.81) 0.827 -
P1 0.113 0.412 - - -
Note:1p-value for the difference between groups; 2p-value for the difference between measurements.
3p-value for repeated ANOVA measurements. T.Ε., technological education; U.E., university education.

4. DISCUSSION

The current study aimed to record, investigate, and evaluate EI levels of PHC nurses using an educational intervention. The results of the current study are, nevertheless, promising because they indicate that the educational intervention had a positive effect on the intervention group, as the levels of EI showed significant changes between the first and second measurements. Individuals in the intervention group had higher EI levels, while there were no discernible changes between the two measures in the control group. Particularly, an incremental change was observed with a statistically significant difference between the two measures regarding the intervention group in the dimension of “self-emotion appraisal” on the EI scale, compared to the control group. In the dimension of “emotion appraisal of others”, for the control group, the value during the second measurement was found to be reduced. Regarding the dimension of “use of emotion” and “regulation of emotion”, the change was greater for the intervention group.

In Greece, the research on nursing has been mainly focused on EI in relation to work and psychological parameters and job satisfaction in nurses who work mostly in secondary or tertiary health units. The originality of this study comes from the lack of previous comprehensive research on the EI of nurses working in PHC facilities in Greece. In addition, the above research is a longitudinal experimental study with an educational intervention, where the sample has been separated into an intervention group and a control group. Compared to Greece, at the international level, a clearly greater volume of research and review work was found in relation to the subject of our study or related topics, but it was not at all sufficient for PHC. During the literature review, it was observed that there are many cross-sectional studies but not many longitudinal studies with educational intervention. Some longitudinal research papers with or without educational intervention were found, which had been conducted mainly in universities with a sample of nursing students [22].

The findings of the present study are in line with those of several similar studies [21-25]. Indicatively, the study by Fouad et al. [23] was conducted in Egypt with a sample of 58 students enrolled in the fourth year of study in the Department of Nursing at Damanhour University. The purpose of the research was to investigate the effect of an educational intervention regarding the levels of EI and empathy among students. Two groups were created, namely the intervention group, which consisted of 29 students enrolled in the psychiatric nursing/mental health course, and the control group, which consisted of 29 students enrolled in the community nursing course. The data collection process lasted one month, during which a total of four educational interventions took place, specifically one per week, lasting 90 minutes, on EI-related topics. The educational interventions were carried out only in the intervention group. The results of the survey showed that the mean score of EI in the intervention group increased significantly between the pre-test and post-test after the intervention. In addition, a noticeable difference was observed in the values between the two groups, as the intervention group showed a greater increase in the level of EI compared to the control group. Another longitudinal experimental study that agrees with our findings is the research conducted by Jiménez-Rodríguez et al. [24], which was conducted in Spain with a sample of 60 second-year nursing students of the University of Almeria for the period from October, 2019, to January, 2020. The study aimed to explore the effects of a non-technical skills training program in terms of EI without dividing the sample into intervention and control groups. The questionnaire comprised an EI scale, which the students initially answered. They then completed the questionnaire once more after the training session. The program included 12 courses, three small-group workshops, and several individual exercises. This training was part of the health promotion and safety course, and the content of the program concerned suggestions of general knowledge on topics related to the subject of the study, interspersed with the projection of audio-visual media, working in groups, role-playing, and solving case studies. After the end of the three months of training and after the research process was concluded by completing the questionnaire, it was found that the students during the second phase showed a clearly higher score in all dimensions of EI.

Similar encouraging outcomes were also discovered in the longitudinal study conducted by Budler et al. [25], with the exception that no intervention was used in this research. The survey was conducted among undergraduate nursing students in Slovenia for the periods from November, 2016, to November, 2017, and from November, 2018, to January, 2019. The study sample consisted of 77 students who completed the questionnaire twice, which included a scale measuring EI. The first measurement was carried out during the academic year 2016/2017, while the second measurement, with the same sample of students, was carried out during the academic year 2018/2019. The research findings showed that the levels of EI increased over time, as it was found that students' scores were higher in their 3rd year of the study compared to their 1st year. This is likely due to the fact that as age increases, so does EI. This conclusion is also made by numerous researchers in recent studies [26-32]. Moreover, many claim that persons of a higher level of education have higher EI [30, 33-35]. It has also been found that EI increases proportionally to work experience [33, 35, 36]. All of the above conclusions are confirmed by the findings of our research.

As is demonstrated by numerous studies, EI is characterized by a variety of benefits for both our working and personal lives. In terms of working life, it plays an important part in adopting and exercising effective management, positively correlating it with the adoption of transformational leadership [37]. Studies have shown that people with high EI have better performance at work and higher administrative and leadership skills [38, 39]. Moreover, EI has been associated, on the one hand, with leadership performance and effectiveness and, on the other hand, with good stress management, job satisfaction, prevention of occupational burnout, a good working climate [40], as well as positive forms of conflict [41]. Furthermore, it has been found that EI contributes to the proper management of people's emotional skills and quality of life since it has been positively correlated with well-being, life satisfaction, and resilience [42, 43].

In our study, it was found that job satisfaction was related to all dimensions of EI and that the more satisfied the participants were with their work, the higher levels of EI were observed. According to literature reports, a positive correlation has been found between job satisfaction and life satisfaction [44-47], as well as between work satisfaction and positive emotion [48, 49]. Regarding the research of Konstantinou and Prezerakos [50], the scores of overall and internal satisfaction showed moderate job satisfaction, while the score of external satisfaction was low. External satisfaction mainly concerns the issues of benefits, professional development, and salaries, while internal satisfaction is related to the tasks that employees have, the emotions they feel while performing their work, etc. According to another study by Taskiran et al. [51] in Turkey, in which a cross-sectional study was conducted on 353 nurses, it was found that nurses' intrinsic and overall satisfaction was high, extrinsic satisfaction was low, and their fatigue was intense during the pandemic. In cases where there is low job satisfaction, there is usually no desire to stay in the specific position, and the services provided are of a lower level [52-54]. Additionally, the research by Brofidi et al. [55] and Kanai-Pak et al. [56] found that individuals who had a higher level of education and more years of service while working in unsupportive workplaces expressed frustration and discomfort with their job satisfaction and extended concern for a decrease in the quality of services provided.

It has been demonstrated that the development of emotional regulation skills, a key component of EI, can increase stress tolerance and act protectively against the occurrence of detrimental effects, including depression and professional burnout. Thus, the emotional well-being of employees is enhanced through the satisfaction they receive from their life and work [9, 57]. Many reports concern nurse burnout, which negatively affects job satisfaction [58-62]. In our survey, participants were asked about the factors that contribute to their job satisfaction. Teamwork/collaboration among colleagues was found to be the most important factor, followed by camaraderie/good interpersonal relationships and recognition of the work by patients. The findings of the present study are in agreement with those of many researchers in which it was found that teamwork, cooperation between colleagues, and good interpersonal relationships create positive feelings among the members of a group and are a key factor in job satisfaction, as they are positively related to it [63-68]. At the same time, many researchers have highlighted salaried income as one of the strongest factors of job satisfaction. However, in our case, financial earnings were not included among the most important factors that contribute to the job satisfaction of nurses. Nevertheless, employee dissatisfaction due to low pay has been documented in many studies [69-77]. Contrarily, in a study by Tsounis et al. [78], the participants did not evaluate salary as a key satisfaction factor, as also in the study by Wild et al. [66], they reported being satisfied with their earnings, while in other studies these factors did not seem to be related to each other [63, 79].

4.1. Limitations

The survey was conducted at the peak of the COVID-19 pandemic, making it difficult to communicate in person, as at that time, the regional health authorities of Greece, which granted us permission to conduct the survey, were issuing strong recommendations regarding travel, gatherings, and personal contact. The meetings required for the educational intervention were held after notifying the management of each facility, receiving special permission, and, of course, observing all mandatory sanitary measures. Due to these circumstances, the educational intervention was carried out only once with a duration of one hour. Under other circumstances, it would have been possible to conduct a more systematic and comprehensive educational program for EI development with more materials and of a longer duration [80]. Oral training is one teaching method, but experiential exercises, or practical instruction, should also be prioritized in order to enhance social and emotional abilities through experiential exercises [81]. Additional methods may also be combined and applied in EI development programs, including lectures and group discussions, and individualized approaches to practice skills that incorporate role-playing, emotional experiences, and conversation [82]. Furthermore, it should be noted that the pandemic probably affected the psychological status, overall mood, stress, job satisfaction, and general working conditions of nurses; therefore, the findings for that time may vary [83, 84].

As a limitation of the study, it should be mentioned that the Wong and Law scale used to measure EI is a self-report psychometric instrument, i.e., participants subjectively rated EI dimensions according to their own personal beliefs. Someone with specialized knowledge of emotions may not do well on the actual ability assessed by the particular instrument. Moreover, the sample we analyzed had a favorable initial impression of the research process versus those who did not wish to participate. This assumption raises concerns about the generalizability of the findings, which in most studies can hardly be avoided since the consent of the research participants is required. Finally, the research could be conducted in a larger sample that would include more provincial cities where the results of EI may vary, while a 3rd EI measurement could be conducted after some time in order to determine whether the educational intervention has a permanent effect on nurses or not.

CONCLUSION

In the present study, we investigated whether a specifically created intervention could raise nurses' emotional intelligence levels to enhance their work performance and interpersonal interactions among nursing staff, ultimately leading to the provision of higher-quality healthcare services. The results were encouraging, as participants in the intervention group demonstrated significantly higher scores on all dimensions of the EI measure after the educational intervention. The results of the research demonstrate the necessity of developing nurses' EI, as well as the importance of incorporating the EI concept into nursing education. EI can lead to the improvement of nurses' interpersonal relationships and contribute actively and substantially to the improvement of the health services provided and, by extension, to better organization of the health system. Emotional intelligence courses may be included in the Nursing Department curriculum, as well as in similar programs for nursing staff.

AUTHORS’ CONTRIBUTION

It is hereby acknowledged that all authors have accepted responsibility for the manuscript's content and consented to its submission. They have meticulously reviewed all results and unanimously approved the final version of the manuscript.

LIST OF ABBREVIATIONS

EI = Emotional Intelligence
PCH = Primary Health Care
WLEIS = Wong and Law Emotional Intelligence Scale
IRCT = Iranian Registry of Clinical Trial
SD = Standard Deviations
TE = Technological Education
UE = University Education
COVID-19 = Corona virus

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

The study was approved by the Research Ethics Committee of the University of West Attica (No. Prot: 12758-16/02/2022) and the scientific councils of all the health districts of Greece. In addition, the study was registered in the Iranian Registry of Clinical Trial (IRCT reference 20240126060816N1).

HUMAN AND ANIMAL RIGHTS

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or research committees and with the 1975 Declaration of Helsinki, as revised in 2013.

CONSENT FOR PUBLICATION

Informed consent was obtained from all participants.

STANDARDS OF REPORTING

CONSORT guidelines were followed.

AVAILABILITY OF DATA AND MATERIALS

The data of current study are available from author, [M.F], on a reasonable request.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

The authors would like to thank Professor Konstantinos Kafetsios for giving permission to use the Emotional Intelligence Scale of Wong and Law in the Greek language and all nurse colleagues who participated in the research.

REFERENCES

1
Cadman C, Brewer J. Emotional intelligence: a vital prerequisite for recruitment in nursing. J Nurs Manag 2001; 9(6): 321-4.
2
Freshman B, Rubino L. Emotional Intelligence. Health Care Manag 2002; 20(4): 1-9.
3
Evans D, Allen H. Emotional intelligence: its role in training. Nurs Times 2002; 98(27): 41-2.
4
Akerjordet K, Severinsson E. The state of the science of emotional intelligence related to nursing leadership: an integrative review. J Nurs Manag 2010; 18(4): 363-82.
5
Salovey P, Kokkonen M, Lopes P. Emotional intelligence: What do we know? Feelings and emotions: The Amsterdam symposium 2004; 321-40.
6
Molina-Mula J, Gallo-Estrada J. Impact of Nurse-Patient Relationship on Quality of Care and Patient Autonomy in Decision-Making. Int J Environ Res Public Health 2020; 17(3): 835.
7
Foster K, Fethney J, McKenzie H, Fisher M, Harkness E, Kozlowski D. Emotional intelligence increases over time: A longitudinal study of Australian pre-registration nursing students. Nurse Educ Today 2017; 55: 65-70.
8
Lopez-Zafra E, Garcia-Retamero R, Martos MPB. The relationship between transformational leadership and emotional intelligence from a gendered approach. Psychol Rec 2012; 62(1): 97-114.
9
Schutte NS, Malouff JM, Hall LE, et al. Development and validation of a measure of emotional intelligence. Pers Individ Dif 1998; 25(2): 167-77.
10
Obholzer A. The impact of setting and agency. J Health Organ Manag 2005; 19(4/5): 297-303.
11
Littlejohn P. The missing link: using emotional intelligence to reduce workplace stress and workplace violence in our nursing and other health care professions. J Prof Nurs 2012; 28(6): 360-8.
12
Cherniss C. Social and emotional competence in the workplace. The Handbook of Emotional Intelligence 2000; 434-58.
13
George M. Emotions and Leadership: The role of emotional leadership 2000.
14
Freshwater D, Stickley T. The heart of the art: emotional intelligence in nurse education. Nurs Inq 2004; 11(2): 91-8.
15
Brettos G, Kapsalis A. Planning evaluating reforming. Greek letters 1997.
16
Platsidou M. Emotional Intelligence: Theoretical models, methods of measurement and applications in education and work. 2010.
17
Triliva S, Giovanni C. Conflict Control Program: Activity Book. Greek letters 1998.
18
Nelis D, Quoidbach J, Mikolajczak M, Hansenne M. Increasing emotional intelligence: (How) is it possible? Pers Individ Dif 2009; 47(1): 36-41.
19
Davies M, Stankov L, Roberts RD. Emotional intelligence: In search of an elusive construct. J Pers Soc Psychol 1998; 75(4): 989-1015.
20
Mayer JD, Salovey P. What is emotional intelligence? In: Salovey P, Sluyter DJ, Eds. Emotional development and emotional intelligence: Educational implications 1997; 3-31.
21
Kafetsios K, Zampetakis LA. Emotional intelligence and job satisfaction: Testing the mediatory role of positive and negative affect at work. Pers Individ Dif 2008; 44(3): 712-22.
22
Parker JDA, Summerfeldt LJ, Walmsley C, O’Byrne R, Dave HP, Crane AG. Trait emotional intelligence and interpersonal relationships: Results from a 15-year longitudinal study. Pers Individ Dif 2021; 169110013
23
Fouad N, Gamal Al Dean A, Lachine O, Moussa A. Effect of Emotional Intelligence Training Intervention on Nursing Students’ Emotional Intelligence and Empathy Level. Alexandria Scientific Nursing Journal 2018; 20(2): 97-114.
24
Jiménez-Rodríguez D, Molero Jurado MM, Pérez-Fuentes MC, Arrogante O, Oropesa-Ruiz NF, Gázquez-Linares JJ. The Effects of a Non-Technical Skills Training Program on Emotional Intelligence and Resilience in Undergraduate Nursing Students. Healthcare (Basel) 2022; 10(5): 866.
25
Budler LC, Gosak L, Vrbnjak D, Pajnkihar M, Štiglic G. Emotional Intelligence among Nursing Students: Findings from a Longitudinal Study. Healthcare (Basel) 2022; 10(10): 2032.
26
Srinivasan K, Samuel AU. A study on emotional intelligence of staff nurses working in Villupuram District. IOSR J Humanit Soc Sci 2016; 21(3): 34-9.
27
Hua Y, Abbas Uddin M, Jalal Bhuiyan A. Emotional intelligence of nurses in tertiary hospitals in Dali, the People’s Republic of China. Adv Biosci Bioeng (N Y) 2019; 7(3): 32.
28
Angelna C, Lai YW, Lim SG. Level of emotional intelligence among nurses. International e-Journal of Science, Medicine & Education 2020; 14(3): 30-44.
29
Alshammari F, Pasay-an E, Gonzales F, Torres S. Emotional intelligence and authentic leadership among Saudi nursing leaders in the Kingdom of Saudi Arabia. J Prof Nurs 2020; 36(6): 503-9.
30
Prufeta P. Emotional Intelligence of Nurse Managers. J Nurs Adm 2017; 47(3): 134-9.
31
Bikmoradi A, Abdi F, Soltanian A, Dmoqadam NF, Hamidi Y. Nurse Managers’ Emotional Intelligence in Educational Hospitals: A Cross-Sectional Study from the West of Iran. J Clin Diagn Res 2018; 12(10): 7-11.
32
Echevarria IM, Patterson BJ, Krouse A. Predictors of transformational leadership of nurse managers. J Nurs Manag 2017; 25(3): 167-75.
33
Sakallı D, Timuçin A. Factors Associated with the Emotional Intelligence Levels of Nurse Managers: A Systematic Review and Meta-Analysis. J Nurs Manag 2023; 31(3): 203-14.
34
Kahraman N, Hiçdurmaz D. Identifying emotional intelligence skills of Turkish clinical nurses according to sociodemographic and professional variables. J Clin Nurs 2016; 25(7-8): 1006-15.
35
Saygin B. The effect of emotional inteliigence on occupational burnout axis of horoscopes: A research on health workers. Master dissertation, National Theses Center, Süleyman Demirel University 2015.
36
Akbolat M, Isik O. Effects of emotional intelligence levels’ health employees on their motivation. Journal of Social Sciences Dumlupinar University 2015; 32(1): 109-23.
37
Tyczkowski B, Vandenhouten C, Reilly J, Bansal G, Kubsch SM, Jakkola R. Emotional intelligence (EI) and nursing leadership styles among nurse managers. Nurs Adm Q 2015; 39(2): 172-80.
38
Başoğul C, Özgür G. Role of emotional intelligence in conflict management strategies of nurses. Asian Nurs Res 2016; 10(3): 228-33.
39
Akerjordet K, Severinsson E. Emotional intelligence in mental health nurses talking about practice. Int J Ment Health Nurs 2004; 13(3): 164-70.
40
Akerjordet K, Severinsson E. Emotional intelligence: a review of the literature with specific focus on empirical and epistemological perspectives. J Clin Nurs 2007; 16(8): 1405-16.
41
Al-Hamdan Z, Adnan Al-Ta’amneh I, Rayan A, Bawadi H. The impact of emotional intelligence on conflict management styles used by jordanian nurse managers. J Nurs Manag 2019; 27(3): 560-6.
42
Delhom I, Satorres E, Meléndez JC. Can we improve emotional skills in older adults? Emotional intelligence, life satisfaction, and resilience. Interv Psicosoc 2020; 29(3): 133-9.
43
Sánchez-Álvarez N, Extremera N, Fernández-Berrocal P. The relation between emotional intelligence and subjective well-being: A meta-analytic investigation. J Posit Psychol 2016; 11(3): 276-85.
44
Bowling NA, Eschleman KJ, Wang Q. A meta-analytic examination of the relationship between job satisfaction and subjective well-being. J Occup Organ Psych 2010; 83(4): 915-34.
45
Diener E, Tay L. A scientific review of the remarkable benefits of happiness for successful and healthy living. 2012.
46
Filiz Z. An Analysis of the Levels of Job Satisfaction and Life Satisfaction of the Academic Staff. Soc Indic Res 2014; 116(3): 793-808.
47
Heller D, Judge TA, Watson D. The confounding role of personality and trait affectivity in the relationship between job and life satisfaction. J Organ Behav 2002; 23(7): 815-35.
48
Meeusen V, Van Dam K, Van Zundert A, Knape J. Job satisfaction amongst Dutch nurse anaesthetists: the influence of emotions on events. Int Nurs Rev 2010; 57(1): 85-91.
49
Wall T, Russell J, Moore N. Positive emotion in workplace impact. J Work-Appl Manag 2017; 9(2): 129-46.
50
Konstantinou C, Prezerakos P. Relationship between nurse managers' leadership styles and staff nurses' job satisfaction in a Greek NHS hospital. Am J Nurs 2018; 7(3-1): 45-50.
51
Taskiran Eskici G, Uysal Kasap E, Gumus E. Relationships between leadership behaviour of nurse managers and nurses’ levels of job satisfaction and compassion fatigue during the COVID‐19 pandemic. Nurs Open 2023; 10(7): 4548-59.
52
Iliopoulou KK, While AE. Professional autonomy and job satisfaction: survey of critical care nurses in mainland Greece. J Adv Nurs 2010; 66(11): 2520-31.
53
Kvist T, Mäntynen R, Vehviläinen-Julkunen K. Does Finnish hospital staff job satisfaction vary across occupational groups? BMC Health Serv Res 2013; 13(1): 376.
54
Kim SH, Bae SY. Analysis of convergent factors related to job satisfaction among hospital administrative staff. Journal of Digital Convergence 2017; 15(4): 365-75.
55
Brofidi K, Vlasiadis K, Philalithis A. Greek hospital environments. Int J Health Care Qual Assur 2019; 32(3): 645-52.
56
Kanai-Pak M, Aiken LH, Sloane DM, Poghosyan L. Poor work environments and nurse inexperience are associated with burnout, job dissatisfaction and quality deficits in Japanese hospitals. J Clin Nurs 2008; 17(24): 3324-9.
57
Brackett MA, Rivers SE, Salovey P. Emotional intelligence: Implications for personal, social, academic, and workplace success. Soc Personal Psychol Compass 2011; 5(1): 88-103.
58
Tabolli S, di Pietro C, Luigi Aparo U, Renzi C. [Psychological wellbeing in the hospital administrative personnel]. Ann Ig 2010; 22(2): 157-64.
59
Khamisa N, Oldenburg B, Peltzer K, Ilic D. Work related stress, burnout, job satisfaction and general health of nurses. Int J Environ Res Public Health 2015; 12(1): 652-66.
60
Uchmanowicz I, Manulik S, Lomper K, et al. Life satisfaction, job satisfaction, life orientation and occupational burnout among nurses and midwives in medical institutions in Poland: a cross-sectional study. BMJ Open 2019; 9(1)e024296
61
Ershad Sarabi R, Javanmard R, Mangolian Shahrbabaki P. Study of burnout syndrome, job satisfaction and related factors among health care workers in rural areas of Southeastern Iran. AIMS Public Health 2020; 7(1): 158-68.
62
Alrawashdeh HM, Al-Tammemi AB, Alzawahreh MK, et al. Occupational burnout and job satisfaction among physicians in times of COVID-19 crisis: a convergent parallel mixed-method study. BMC Public Health 2021; 21(1): 811.
63
Adams A, Bond S. Hospital nurses’ job satisfaction, individual and organizational characteristics. J Adv Nurs 2000; 32(3): 536-43.
64
Chiok Foong Loke J. Leadership behaviours: effects on job satisfaction, productivity and organizational commitment. J Nurs Manag 2001; 9(4): 191-204.
65
Chu CI, Hsu HM, Price JL, Lee JY. Job satisfaction of hospital nurses: an empirical test of a causal model in Taiwan. Int Nurs Rev 2003; 50(3): 176-82.
66
Wild P, Parsons V, Dietz E. Nurse practitioner’s characteristics and job satisfaction. J Am Acad Nurse Pract 2006; 18(11): 544-9.
67
Moumtzoglou A. The Greek Nurses’ job satisfaction scale: development and psychometric assessment. J Nurs Meas 2010; 18(1): 60-9.
68
Kudo Y, Kono K, Kume R, Matsuhashi A, Tsutsumi A. Feelings about Nursing Assistants that Enhance the Work Motivation of Japanese Registered Nurses and Licensed Practical Nurses. J UOEH 2017; 39(4): 259-69.
69
Takase M, Kershaw E, Burt L. Nurse‐environment misfit and nursing practice. J Adv Nurs 2001; 35(6): 819-26.
70
Savery LK, Luks JA. The relationship between empowerment, job satisfaction and reported stress levels: some Australian evidence. Leadersh Organ Dev J 2001; 22(3): 97-104.
71
Cowin L. The effects of nurses’ job satisfaction on retention: an Australian perspective. J Nurs Adm 2002; 32(5): 283-91.
72
ICN concerned over lack of progress to solve international nurse stuffing crisis. Br J Nurs 2003; 12(1): 11.
73
May JH, Bazzoli GJ, Gerland AM. Hospitals’ responses to nurse staffing shortages. Health Aff (Millwood) 2006; 25(4)(Suppl. 1): W316-23.
74
Best MF, Thurston NE. Canadian public health nurses’ job satisfaction. Public Health Nurs 2006; 23(3): 250-5.
75
Stringer C, Didham J, Theivananthampillai P. Motivation, pay satisfaction, and job satisfaction of front‐line employees. Qual Res Account Manag 2011; 8(2): 161-79.
76
Platis C, Reklitis P, Zimeras S. Relation between job satisfaction and job performance in healthcare services. Procedia Soc Behav Sci 2015; 175: 480-7.
77
Corder E, Ronnie L. The role of the psychological contract in the motivation of nurses. Leadersh Health Serv (Bradf Engl) 2018; 31(1): 62-76.
78
Tsounis A, Sarafis P, Bamidis P. Motivation among Physicians in Greek Public Health-Care Sector. Br J Med Med Res 2014; 4(5): 1094-105.
79
Molinari D, Monserud M. Rural nurse job satisfaction. Rural Remote Health 2008; 8(4): 1055.
80
Johnson K. Behavioral Education in the 21st Century. J Organ Behav Manag 2015; 35(1-2): 135-50.
81
Chandrapal J, Park C, Holtschneider M, Doty J, Taylor D. Using Individual Assessments as a Tool for Formative Feedback on Emotional Intelligence Training Programs in Healthcare Learners. J Med Educ Curric Dev 2022. 9.
82
Lim MD, Lau MC. Can We “Brain-Train” Emotional Intelligence? A Narrative Review on the Features and Approaches Used in Ability EI Training Studies. Front Psychol 2021; 12569749
83
Kulkarni A, Khasne RW, Dhakulkar BS, Mahajan HC. Burnout among Healthcare Workers during COVID-19 Pandemic in India: Results of a Questionnaire-based Survey. Indian J Crit Care Med 2020; 24(8): 664-71.
84
Tan BYQ, Chew NWS, Lee GKH, Jing M, Goh Y, Yeo LLL. Psychological Impact of the COVID-19 Pandemic on Health Care Workers in Singapore. Ann Intern Med 2020; 173(4): 317-20.