Introduction
Health care professionals the new coronavirus
epidemic caused a sudden crisis in the world’s
public health in late 2019, killing more than
838,000 people worldwide by August 30, 2020
[1]. The emergence of COVID-19 has changed
people’s living conditions by causing travel
restrictions, fear of transmission, fear of infection,
fear of losing loved ones, closure of jobs and schools, and the devastating psychological effects
of quarantine, such as depression, emotional
changes, and individual and social anxiety
[2]. In the meantime, nurses and health care
workers are at the forefront of the fight against
infectious diseases and COVID-19 and are more
susceptible to the disease. The high mortality
rate of hospitalized patients in COVID-19 wards,
communication problems, lack of support, and
lack of visiting time for COVID-19 patients have created a stressful condition for the nurses
in coronavirus care wards [3]. Therefore, health
professionals and in particular nurses often face a
variety of stressful conditions in life, including the
challenges of personal life, the nature of their job
that requires a lot of standing and concentration,
commitment to patient care, and working with
patients that need help [4].
They are constantly exposed to various stressors
that will have devastating effects on their job
performance in the long run [5]. Murphy has
defined job performance as a function of an
individual’s performance in doing specific
tasks, which includes a list of standard jobs [6].
The core of job performance depends on job
demands, organizational goals and missions,
and the organization’s beliefs about behaviors
that are evaluated more frequently [7]. As far
as nurses are concerned, job performance is
defined as an effective factor in the ability to
achieve occupational goals in accordance with job
standards. As a powerful arm of the health care
system and a solid pillar of patient care, nurses
play an important role in care departments and
affect every aspect of hospital performance. Job
performance results from the combination three
components: Expertise, effort, and the nature
of working conditions [8]. Expertise refers to
knowledge, ability, and scientific and professional
competence of an employee in a particular field;
effort includes a degree of internal and external
motivation that makes a person excel in doing
work; and the nature of working conditions
includes a degree of compliance with the
conditions in facilitating employee productivity
[9].
In the case of nurses, job performance is defined
as an effective factor in performing tasks and
responsibilities related to direct patient care, and
patient satisfaction and their mental and physical
health are greatly affected by the performance
of nurses [10]. The results of a study conducted
in Urmia indicated that an increase in the effect
of COVID-19 led to the decrease of the nurse’s
job performance by 20% [11]. In this condition,
health care providers caring for clients face daily
situations that might have adverse effects on the
quality of their care [4]. Given that psychological
stress affects job performance, social support can
act as a contributor to coping with stress, and this
is more appropriate for nurses trying to improve
their performance to a desired level [7]. Social
support is defined as the actual or perceived useful behaviors available from others [12]. It can be
considered as support that a person receives from
family, friends, and the organization, and has a
psychological dynamic that helps the person in
emotional, physical, and cognitive aspects. Social
support is studied as either perceived or received
[13].
Perceived social support focuses on the individual’s
cognitive assessment of his/her environment
and his/her level of confidence that help and
support will be available if required [14]. In the
nursing profession, social support is considered
as an occupational source. Social support from
colleagues not only reduces negative effects of
job stressors, but also guarantees that the work is
done the best and the occupational goals will be
achieved. In addition, social support from friends
meets the person’s basic needs, such as the need
to belong. Thus, social support is an incentive for
work interaction through a motivational process
[15]. Supportive work environments are the
most important factor in creating job satisfaction
for nurses, and enjoying social support affects
patient treatment, employees’ job satisfaction,
and recruitment and retention in the organization.
Therefore, a work environment with a high level
of social support will reduce job stress and retain
the nurses in the organization [16].
Perceived social support is a combination
of the three elements including emotion,
acknowledgment, and help. Emotion means
expressing love and affection; acknowledgment
refers to the awareness of appropriate behaviors
and feedbacks; and help means direct assistance
in getting things done. Thus, one of the
characteristics of the people relatively resistant
to stressful events is having social support. Social
support systems can mitigate negative effects
of stress on mental health; therefore, having to
support patients, nurses themselves need support
systems [17]. Sarafino believes that social support
from friends, family, and other people leads to
reduced psychological stress in individuals and
thus affects their mental health [18]. According to
the theory of social support barrier-making, people
enjoying high social support consider problems
less stressful and may have a person or people
who can provide solutions to their problems and
give them encouragement and hope. Accordingly,
social support can be used as a barrier to negative
effects of stress and have an inverse relationship
with the perception of stress and burnout [19].
Therefore, providing social support inside and outside the workplace can play an effective role
in the health and well-being of nurses, improve
employee productivity, and reduce stress in the
face of challenges and problems [20]. A study of
a group of nurses in the United States, the United
Kingdom, and Canada found that perceived
social support from co-workers increased job
performance and reduced job stress in nurses [16].
Another effect of the spread of viral diseases,
including COVID-19 that has affected the world
at various levels, is stress and work pressure that
causes dissatisfaction with the job and may lead to
job burnout [11]. Job burnout is a psychological
syndrome and a long-term response to chronic
stress in the workplace. It was first described by
Maslach, and its three main and distinct dimensions
including exhaustion, depersonalization, and
personal inadequacy were then introduced for job
evaluation [21,22]. The results of a meta-analysis
by Chemali et al., showed that the prevalence of
job burnout among physicians, nurses, and other
medical staff in the Middle East hospitals was
about 40% to 60%. Job burnout is on the rise
due to the high workload during the coronavirus
pandemic [23,24].
Emotional exhaustion is considered as one of the
components of job burnout. Nurses are known as
one of the groups at risk of emotional exhaustion
due to the nature, severity, and variety of the
stressors associated with their professional tasks
[25]. Emotional exhaustions are defined as the
feeling of extremely lacking emotional and physical
resources [26]. It is associated with the concepts
of stress, anxiety, physical tiredness, insomnia
[27]. Research has shown that job relationships
that lack support and trust may increase the risk of
burnout. When job relationships are positive and
employees experience high levels of social support,
job interactions improve as well. Besides, when
individuals are supported by their workgroups,
job resources (human resources, job capacities)
are enriched, and job resources (capacities) can
effectively reduce the prevalence of burnout [28].
Therefore, like useful information and emotional
support, social support is an important source for
employees to cope with daily stressors and thus
improve their well-being [29].
Subjective well-being is another problem with
nurse’s health. It is described as a set of experiences
including emotional responses, satisfaction range, and overall judgment of life satisfaction,
and deals with individual’s evaluation of their
lives and mental measurement of satisfaction
or dissatisfaction [30]. Subjective well-being is
associated with positive and negative memories
as well as emotional reactions to life events.
It is in fact a term used to measure people’s
satisfaction, happiness, and experience of quality
of life. The experience includes cognitive and
emotional perception and evaluation of life [31].
The emotional dimension refers to having positive
emotions (pleasure, euphoria, happiness) and
negative emotions (feelings of guilt, fear, anger)
as well as emotions, and the cognitive dimension
refers to a cognitive assessment of life satisfaction
that measures a person’s positive emotions and
excitement from different aspects of life [13].
Employees who are satisfied with their job and
experience more positive emotions have a high
level of subjective well-being. On the other hand,
employees who do not have subjective well-being
often suffer from job burnout. The importance
of subjective well-being in an organization can
be found out from positive results such as job
performance, reduced absenteeism, and job
satisfaction [32].
Social environments, including interpersonal
relationships and social support from others,
play a key role in shaping people’s prosperity
and satisfaction with life. The results of a study
showed that social support improved well-being
by affecting emotions, cognitions, and behaviors
in a way that it promoted positive effects [33].
Regarding what was stated above, it seems really
important to address the factors affecting the
performance of nurses, and since nursing is one
of the highly important occupations in the society
and nurses spend some part of their lives in close
contact with patients, and due to the fact that
optimal job performance guarantees the health
and recovery of many patients in the community,
identifying the factors affecting their performance
and trying to promote such factors is of particular
importance. Therefore, considering the everincreasing
spread of the coronavirus and the
excessive exhaustion of medical staff, the present
study aimed to answer the question whether
perceived social support and job performance had
a relationship with the mediating role of emotional
exhaustion and subjective well-being of nurses.
The conceptual model of research is shown in Figure 1.
Materials and Methods
The present study is an applied descriptivecorrelational
research. An electronic questionnaire
was used to collect the information in this study.
To this end, to this end, once the approval of the
hospital’s ethics committees was obtained and
coordination with the hospital authorities, the
questionnaire was designed online and its link
was provided to the people who were willing to
participate in the study. The statistical population
included all the nurses in Kerman hospitals in
2021. Five hospitals were randomly selected from
among the public hospitals of Kerman. The sample
size was considered 300 with regard to the number
of the study variables, but due to possible drops, 21
more individuals (a total of 321 nurses) answered
the research questions. The samples were selected
through convenience sampling, and the data were
analyzed using the path analysis method and the
Amos 22 software. The following tools were also
used to examine the variables. The data were
analyzed using the structural equation modeling
analysis and the AMOS statistical software. The
tools for collecting information were as follows:
(a) Subjective Well-being Scale, (b) Job Burnout
Questionnaire, (c) Job Performance Questionnaire,
(d) Perceived Social Support Questionnaire,
and (e) a set of demographic questions included
information about the nurses’ gender, education
level, years in nursing profession, typical shift
length, age, and so on.
Subjective well-being scale
Developed by Keyes and Magyar-Moe, this test
was used to measure emotional, psychological,
and social well-being [34]. It had 45 items and
included 13 subscales. The first 12 questions
dealt with emotional well-being, the next 18 ones were on psychological well-being, and the
last 15 questions were about social well-being.
The scale was scored on a Likert scale, with 12
items ranging from always (1) to never (5), and 33
items on a seven-point Likert scale from strongly
disagree (1) to strongly agree (7). The scores
ranged from 45 to 291. The internal validity of
the emotional well-being subscale was 0.91 in
the positive emotion section and 0.78 in the
negative. The psychological and social well-being
subscales had an average internal validity of 0.4
to 0.7, and the total validity of both subscales was
≥ 0.8 [34]. To evaluate the validity of this scale,
factor validity had been used, and the results of
confirmatory factor analysis confirmed the factor
structure of this scale. In his study, Golestanibakht
reported the reliability coefficient and reliability
of the retest to be 0.86 [34]. The reliability of the
subjective well-being scale and the emotional
well-being, psychological well-being, and social
well-being subscales was 0.75, 0.76, 0.64, and
0.76, respectively. The Cronbach’s alpha for the
above-mentioned scale and subscales was 0.80
and 0.64, respectively, indicating the desired
internal consistency of the scale [35].
Job burnout questionnaire
This scale was designed by Maslach and Jackson
and contained 25 questions [36]. The scoring
method was based on a 7-point Likert scale. The
questionnaire had three dimensions, including
emotional exhaustion, depersonalization, and
feeling of inefficiency. Questions 1, 2, 3, 6,
8, 13, 14, 16, and 20 dealt with emotional
exhaustion, questions 5, 10, 11, 15, and 22 were
on depersonalization, and questions 4, 7, 12, 17,
18, 19, and 21 were on the feeling of inefficiency.
The frequency and emotional exhaustion severity
scores of >30 and >40, respectively, showed high emotional exhaustion; the frequency and
emotional exhaustion severity scores of 18-29 and
26-39 indicated moderate emotional exhaustion;
and frequency and emotional exhaustion severity
scores of <17 and <25 showed mild emotional
exhaustion. In this study, only the emotional
exhaustion dimension was addressed. In addition,
the test designers calculated the reliability and
validity of the test using the Cronbach’s alpha of
the internal consistency for the frequency of 0.83
and the intensity of 0.84. They also calculated the
total reliability coefficient of the questionnaire for
the frequency of 0.83 and the intensity of 0.53 [37].
The validity and reliability of this questionnaire
in Iran have been determined in many studies by
Iranian researchers and have been confirmed with
scientific validity of >90%. To evaluate the face
and content validity of this tool, Ghaniyoun got the
approval of 10 managements, psychology, nursing,
and emergency medicine lecturers and, using
the Cronbach’s alpha, he obtained the reliability
coefficient of 0.80 for emotional exhaustion, 0.81
for depersonalization, 0.84 for personal adequacy,
and 0.83 for the whole questionnaire [38]. The
results indicated the reliability of the whole
questionnaire and its dimensions.
Job performance questionnaire
This test was designed and standardized by
Patterson to be used to measure employee
performance [39]. The test included 15 articles and
4 dimensions as follows: Observance of discipline,
sense of responsibility at work, cooperation
and teamwork spirit at work, and ability to
continuously improve and correct things. The tool
consisted of 15 questions on a four-point Likert
scale (rarely, sometimes, often, and always) with a
score range of 0 to 3, respectively. The range of the
instrument scores was 0 to 45. The scores 0-11.25
indicated poor performance, 11.25-22.5 showed
moderate performance, 22.5-33.75 indicated good
performance, and 33.75-45 indicated excellent job
performance. The reliability coefficients of this
test had been reported by Arshadi and Piryaaee
using the Cronbach’s alpha and halving methods
as 0.82 and 0.85, respectively [40].
Perceived social support questionnaire
Providing a subjective assessment of social support
adequacy, this scale was designed by Zimet et
al., the questionnaire measured perceptions of
social support adequacy in three sources: Family,
friends, and important people in life [41]. The
questionnaire consisted of 12 questions, each was graded on a seven-point scale from strongly
disagree (1) to strongly agree (7). Based on the
social support sources, each four questions were
attributed to one of the factor groups including
family (items 3, 4, 8, and 11), friends (items 6, 7,
9, and 12), and important people in life (items 1,
2, 5, and 10). It should be noted that in this scale,
an increase in the individual’s scores led to the
increase in their scores of perceived social support
factor. Zimet et al., reported the Cronbach’s alpha
coefficient of 0.81 to 0.98 in nonclinical samples
and confirmed good validity of the scale [42]. In
a preliminary study of psychometric properties
of this scale in samples of Iranian students and
general population (311 students, 431 others),
Besharat et al., obtained the Cronbach’s alpha
coefficients for the whole scale and the items of three
subscales including family, important people, and
friends to be 0.91, 0.87, 0.83, and 0.89, respectively
[43]. In addition, the results of the exploratory and
confirmatory factor analysis confirmed the validity
of the multidimensional scale of perceived social
support by determining three factors (social support,
important people, and friends).
Results
Demographic information
A total of 321 nurses (119 males and 202 females)
participated in this study. The mean age of the
nurses was 31.31 and the standard deviation was
7.96. In terms of education levels, 9% had a lowerthan
bachelor’s degree, 72.9% had a bachelor’s
degree, 16.8% had a master’s degree, and 1.2% had
a PhD. Regarding marital status, 142 nurses were
single, 173 were married, and 6 were divorced. In
addition, 25.2% of the nurses were conscription
law’s conscript, 33% were permanent, 13.7%
were corporate, 14.3% were temporary-topermanent,
4.7% were private contractual, and 8%
were government contractual employees. In terms
of income, 10.3% had incomes below 2 million
tomans, 23.4% had incomes of 2 to 4 million
tomans, 38.9% earned 4 to 6 million tomans, and
27.4% earned over 6 million tomans. Furthermore,
82.6% were working as medical staff but 17.4%
were not medical staff. Finally, 85.7% had rotating
shifts and 14.3% were on duty.
Descriptive indices among research variables
Table 1 shows the mean, standard deviation,
maximum, and minimum scores of the participants
based on the research variables. The results showed that the highest mean score was that of
subjective well-being and the lowest was that of
emotional exhaustion.
Table 1. Descriptive indices among research variables.
Variable |
Mean (M) |
Standard Deviation (SD) |
Maximum |
Minimum |
Job performance |
37.07 |
9.81 |
45 |
0 |
Subjective well-being |
147.77 |
18.98 |
210 |
89 |
Social support |
45.11 |
8.45 |
60 |
15 |
Emotional exhaustion |
28.69 |
11.47 |
63 |
9 |
As shown in Table 2, there was a significant positive
relationship between social support and subjective
well-being variables and job performance. On the
other hand, emotional exhaustion had a significant
negative relationship with job performance.
Emotional exhaustion had also a significant
negative relationship with subjective well-being
and social support (P<0.05).
Table 2. Correlation coefficients among research variables.
Row |
Variable |
1 |
2 |
3 |
4 |
1 |
Job performance |
- |
- |
- |
- |
2 |
subjective well-being |
0.33** |
- |
- |
- |
3 |
Social support |
0.25** |
0.47** |
- |
- |
4 |
emotional exhaustion |
-0.20** |
-0.43** |
-0.41** |
- |
Note: **P<0.05. |
Figure 2 shows the fitted research model. In order
to evaluate the proposed model, the structural
equations method was used in which all the
indicators were in an acceptable range.
According to Table 3, the normalized Chi-Square
(CMIN/DF), Comparative Fit Index (CFI) is 0.945,
Parsimony Normed Fit Index (PCFI) is 0.594,
the Root Mean Square Error of Approximation
(RMSEA) and the HOLTER were obtained
2.25. 0.945, 0.594, 0.067, and 205, respectively,
showing that the model was highly fit.
Table 3. Model fit indicators.
>Indicator |
>x²/DF |
>RMSEA |
>CFI |
>PCFI |
>HOLTER |
>DF |
>Job performance |
>2.25 |
>0.067 |
>0.945 |
>0.594 |
>205 |
>17 |
Relationship between social support, job performance
considering Emotional Exhaustion and
subjective well-being in nursing
According to Table 4, social support in a multivariate environment was able to predict
0.304 of the job performance variance. Thus, the
direct effect of social support on job performance
was significant. Furthermore, social support was
able to predict 0.523 of the subjective well-being
variance, and the direct effect of social support on
subjective well-being was significant (P<0.05).
In addition, the standard effect of social support
on emotional exhaustion was -0.447, the direct
effect of which was significant. In other words,
emotional exhaustion decreased with an increase
in social support, (P<0.05). The direct effect of
subjective well-being on job performance with
the standard effect of 0.329 was statistically
significant as well. Moreover, the direct effect
of emotional exhaustion with the standard effect
of -0.227 on job performance was statistically
significant. The Sobel test was used to determine
the significance of the mediating paths of
subjective well-being and emotional exhaustion
and the indirect effect of the independent
variable on the dependent one. The results of
the Sobel test confirmed the mediating roles
of emotional exhaustion (P=0.000, Z=4.358)
and subjective well-being (P=0.000, Z=4.112)
in social support and job performance of the
nurses. Therefore, the indirect effect of social
support on job performance due to emotional
exhaustion and subjective well-being was
statistically significant.
Table 4. Impact analysis: Direct, indirect effects, total score, and standard of the model.
Emotional exhaustion |
Subjective well-being |
Job performance |
Standard effects |
Path |
Social support |
Direct |
0.304** |
0.523** |
-0.447** |
Indirect |
0.294** |
- |
- |
Total |
0.598** |
0.523** |
-0.447** |
Subjective well-being |
Direct |
0.329** |
- |
- |
Indirect |
- |
- |
- |
Total |
0.329** |
- |
- |
Emotional exhaustion |
Direct |
-0.273** |
- |
- |
Indirect |
- |
- |
- |
Total |
-0.273** |
- |
- |
Note: **P<0.05. |
Discussion
In this study According to the research findings,
the direct impact of perceived social support was
effective on job performance. The results of the
statistical analysis showed that the overall and
partial fit indices were all at appropriate levels,
and the effect of the perceived social support on job performance was confirmed. In other
words, the more the nurses perceived support
from friends, family, and others, and believed
that their presence and participation was valued
and their well-being and success was taken into
consideration, the greater their job performance
would be. The results of this hypothesis are in line
with the investigations of the relationship between perceived social support and job performance by
Nasurdin et al., AbuAlRub, Kim et al., Wang et al.,
Amarneh et al., [7,16,29,44,45].
To explaining the results, it can be said that people
with high levels of perceived social support are
confident that others will be help them in times of
need, and as a result, they may perceive potentially
stressful events as less stressful. In fact, receiving
multiple types of social support can help a person
directly eliminate or at least reduce negative effects
of potentially stressful situations and make nurses
more competent in their job responsibilities. This
will help improve their performance as well [44].
Thus, perceived social support leads to some kind
of self-confidence and the assurance of an effective
and beneficial response to COVID-19. Hence, job
performance will improve in nurses with high
perceived social support. In general, it should be
stated that as one of the emotion-oriented coping
methods, social support can protect people from
stressful situations by preventing them from
occurring, or help to assess stressful events in
such a way that they get less threatening. It can
also be provided in the form of psychological and
emotional support or information support, tangible
to ultimately increase the employee’s performance
in the organization.
The results showed that perceived social support
had a significant relationship with emotional
exhaustion. In other words, an increase in social
support would lead to decreased emotional
exhaustion. This is consistent with the research of
the studies by Ariapooran, Albar et al., Li et al.,
Ruisoto et al., [12,25-27].
To explain this finding, it can be said that social
support has a protective role against stress, and
since the continuation of stress may cause job
burnout, social support will first reduce stress
with its protective role and ultimately prevents
the occurrence of job burnout. On the other
hand, people with high social support feel more
personal achievements, experience less stress
and anxiety while working, underestimate the
stress of different situations, assess their job more
positively and productively, and evaluate their
abilities to face work challenges more positive
and efficient. These factors first increase their
positive view of the job and job environment and
finally reduce job burnout. In addition, social
support allows individuals to develop positive
social relationships with others and helps balance
emotions and reduce burnout [26]. Thus, nurses
with less supportive resources become vulnerable to emotional exhaustion. Therefore, social support
is a useful and effective factor in improving
nurses’ resilience and stress, especially to deal
with emotional exhaustion.
The results also suggested that social support
could predict the variance of subjective wellbeing,
and the direct effect of perceived social
support on subjective well-being was significant.
This finding is consistent with the results of the
research by Gulacti, Wang et al., Gallagher et al.,
[13,28,33].
It should be stated that high social support
increases positive self-image, self-acceptance,
and feelings of love and worth, while low social
support reduces positive self-image and causes
dissatisfaction in life. Social support also reduces
negative effects of environmental stress and,
consequently, increases the quality of life and life
satisfaction. People with high social support feel
that others care about them, love them, and support
them at the time of difficulties. Such people
have higher self-confidence, self-efficacy, and
optimism, which increase their subjective wellbeing.
Accordingly, Gulacti found in his research
that family support could affect people’s cognitive
patterns of subjective well-being [13]. In other
words, positive relationships and family support
led to positive emotional, social, and cognitive
changes in children, and this was effective in
portraying a more positive and satisfying life.
According to the results, emotional exhaustion
mediated perceived social support and job
performance in nurses. The is in line with the
results of the studies by Taghilou et al., Ariapooran,
Bayrami et al., Ruisoto et al., Halbesleben et al.,
[11,12,17,27,46].
To explain the results, it might be said that job
stressors that lead to emotional exhaustion of
nurses include high workload, long working
hours, lack of support, and inability to leave
work to rest. Job burnout in nurses who spend
long hours at work is manifested in the form of
feeling a lack of personal success in work life.
Therefore, creating strong support systems inside
and outside the workplace and trying to make a
favorable work environment by providing full
support to staff, reducing their workload, and
increasing their freedom of action in decisionmaking
can lead to reduced job burnout [17]. On
the other hand, support from other people makes
individuals more motivated, feel empowered, and
as a result dedicate themselves more to work.
In fact, perceived support of nurses in family,
friends, and colleagues plays an effective role as a
barrier to prevent burnout and stress. Furthermore,
given that low job performance is the result of
emotional exhaustion, this feeling is known as a
mediator of the relationship between perceived
social support and job performance, because a
person who finds more motivation to do his/her
work through the support of those around him/
her becomes so obsessed with his/her work that
she/he will not experience the inefficient feeling
of emotional exhaustion. The nature and severity
of stressors at hospitals have made nurses at high
risk of emotional exhaustion. There is no doubt
that job burnout reduces their efficiency and job
performance, and this will be the starting point
for their lack of motivation in paying attention
to clients and performing their important task
optimally and appropriately. Reduced stress and
workload will lead to reduced job burnout as
well [11]. A study by Ruisoto et al., indicated that
emotional exhaustion, as the main dimension of
job burnout, was the best predictor of general
health in nurses, and social support could improve
negative effects of emotional exhaustion in
medical staff [27].
The findings also confirmed the subjective wellbeing
mediated perceived social support and job
performance in nurses. This is consistent with the
results of the research by Kavoosi et al., Gulacti,
Jia et al., Darvishmotevali et al., Mbatha, who
identified the effects of subjective well-being on
social support [10,13,21,31,32].
It can be acknowledged that social support helps
nurse and healthcare providers withstand workload
stress. Social support has a direct impact on
negative consequences of such stimuli in different
areas of life and reduces the levels of stress
experienced. In fact, exposure to COVID-19 and
systematically introduced quarantine procedures
is more severe in places such as hospitals, health
centers, and diagnostic units, and psychologically,
such a condition has a profound effect on
subjective well-being of the healthcare staff and
thus changes their job performance. Therefore,
nurses’ well-being and life satisfaction improve
through perceiving social support from their
families and managers, and this increases their
performance and empowerment at workplace.
Conclusion
The results of the present study showed a significant positive relationship between
perceived social support and emotional exhaustion
of the nurses during COVID-19. There were
also significant positive relationships between
perceived social support and subjective wellbeing,
between emotional exhaustion and job
performance, and between subjective well-being
and job performance of the nurses. Furthermore,
perceived social support in nurses and attention
to their needs were associated with high scores
of their job performance. On the other hand,
emotional exhaustion was associated with low
scores of perceived social support, and subjective
well-being was associated with high scores of
perceived social supports.
Given that the present study was cross-sectional
and examined the participants over a specific
period of time, conclusion was a bit difficult, and
the cause-and-effect relationships that perceived
social support and the mediating variables of
emotional burnout and subjective well-being had
with job performance could not be found out. In
addition, using a correlational research design
made it more difficult to extract causal results.
Besides, the only data collection tool used in this
study was a questionnaire with a self-report nature
that depended on the nurses’ feelings at the time
of answering the questions. It is suggested that
researchers interested in this field examine other
psychological variables such as shift work, social
capital dimensions, and psychological attributions
in order to better identify the factors affecting
job performance. In this study, a small sample
was extracted from the research population and
most of the subjects were female. However, the
ratio of male and female nurses to their actual
ratio in society was observed in the present
research. Due to the urgency of the conditions,
the researchers collected the data through online
methods that could influence the results. In
addition, the respondents’ psychological stress
could affect their responses. In general, this is
the first study conducted in the Iranian society
to address the concepts of emotional exhaustion
and subjective well-being as the factors affecting
job performance. Future studies are better to try
to replicate these results in larger samples and
use longitudinal and experimental designs to
prove or disprove research hypotheses. They are
also suggested to include the role of depression,
anxiety, and stress in the medical staff dealing with
COVID-19 over a longer period of time in order to
provide appropriate psychological services to help
those under severe stress due to the pandemic.
Other studies such as qualitative ones in this field
are also recommended to reveal more aspects of
this phenomenon.
Declarations
Ethics approval and consent to participate
IEthical approval was not required for this research
article and any discussion is fully anonymised. All
the participants were informed about the objectives
of the Study and the voluntary nature of their
participation. The questionnaires did not include
names or other ways of personal identification of
the participants to keep the protection of privacy
and maintenance of confidentiality. Informed
consent was obtained from each participant.
Consent for publication
Not applicable.
Availability of data and materials
The datasets used during the current study are
available from the corresponding author on
reasonable request.
Competing interests
Not applicable
Funding
Not applicable
Authors’ contributions
SHM, AS, SK, PA conceived and designed the
study, conducted research, provided research
materials, and collected and organized data.
SHM, AS, SK, PA analyzed and interpreted data.
SHM, AS wrote initial and final draft of article,
and provided logistic support. All authors have
critically reviewed and approved the final draft
and are responsible for the content and similarity
index of the manuscript.
Acknowledgements
We would like to thank all the individuals who
participated in the study.
References
- World Health Organization. Coronavirus disease (COVID-2019) situation reports. 2020.
- Shahyad S, Mohammadi MT. Psychological impacts of COVID-19 outbreak on mental health status of society individuals: A narrative review. Mil Med. 2020;22(2):184-192.
[Crossref] [Google Scholar]
- Greenberg N, Weston D, Hall C, Caulfield T, Williamson V, et al. Mental health of staff working in intensive care during COVID-19. Occup Med. 2021;71(2):62-67.
[Crossref] [Google Scholar] [PubMed]
- Mottaghi S, Poursheikhali H, Shameli L. Empathy, compassion fatigue, guilt and secondary traumatic stress in nurses. Nurs Ethic. 2020;27(2):494-504.
[Crossref] [Google Scholar] [PubMed]
- Hosseini MA, Sedghi GN, Alamadarloo A, Farzadmehr M, Mousavi A. The relationship between job burnout and job performance of clinical nurses in shiraz shahid rajaei hospital (thruma) in 2016. J Clin Nurs. 2017;6(2):59-68.
[Google Scholar]
- Murphy KR. Is the relationship between cognitive ability and job performance stable over time?. Hum Perform. 1989;2(3):183-200.
[Crossref] [Google Scholar]
- Nasurdin AM, Ling TC, Khan SN. Linking social support, work engagement and job performance in nursing. Int J Bus Soc. 2018;19(2).
[Google Scholar]
- Hamdan KB, Al-Ghalabi RR, Al-Zu’bi HA, Barakat S, Alzoubi AA, et al. Antecedents of job performance during covid-19: A pilot study of jordanian public hospitals nurses. J Arch Egyptol. 2020;17(4):339-351.
[Google Scholar]
- Kazmi R, Amjad S, Khan D. Occupational stress and its effect on job performance. A case study of medical house officers of district Abbottabad. J Ayub Med Coll Abbottabad. 2008;20(3):135-139.
[Google Scholar] [PubMed]
- Kavoosi Z, Ghaderi AR, Moeenizadeh M. Psychological well-being and job performance of nurses at different wards. Research in clinical Psychology and Counseling. 2014;4(1):175-194.
[Crossref] [Google Scholar]
- Taghilou H, Jafarzadeh Gharajag Z. Investigating the relationship between burnout and job performance in the corona epidemic from the perspective of nurses. J Nurs Manag. 2020;9(4):27-33.
- Ariapooran S. Compassion fatigue and burnout in Iranian nurses: The role of perceived social support. Iran J Nurs Res. 2014;19(3):279-284.
[Google Scholar] [PubMed]
- Gülaçtı F. The effect of perceived social support on subjective well-being. Procedia Soc Behav Sci. 2010;2(2):3844-3889.
[Crossref] [Google Scholar]
- Babaieamiri N. The relationship between job burnout, perceived social support and psychological hardiness with mental health among nurses. AJNMC. 2016;24(2):120-128.
[Crossref] [Google Scholar]
- McHugh MD, Stimpfel AW. Nurse reported quality of care: A measure of hospital quality. Res Nurs Health. 2012;35(6):566-575.
[Crossref] [Google Scholar] [PubMed]
- AbuAlRub RF. Job stress, job performance, and social support among hospital nurses. J Nurs Scholarsh. 2004;36(1):73-78.
[Crossref] [Google Scholar] [PubMed]
- Bayrami M, Movahedi M, Movahedi Y, Azizi A, Mohammadzadigan R. The role of perceived social support in the prediction of burnout among nurses. J Nurs Manag. 2014;3(1):27-34.
[Google Scholar]
- Sarafino EP, Smith TW. Health psychology: Biopsychosocial interactions. John Wiley & Sons. 2014.
[Google Scholar]
- Boren JP. Co-rumination partially mediates the relationship between social support and emotional exhaustion among graduate students. Commun Q. 2013;61(3):253-267.
[Crossref] [Google Scholar]
- del Carmen Pérez-Fuentes M, del Mar Molero-Jurado M, Gázquez-Linares JJ, del Mar Simón-Márquez M. Analysis of burnout predictors in nursing: Risk and protective psychological factors. European Journal of Psychology Applied to Legal Context. 2018;11(1):33-40.
[Crossref] [Google Scholar]
- Jia Z, Wen X, Lin X, Lin Y, Li X, et al. Working hours, job burnout, and subjective well-being of hospital administrators: An empirical study based on China’s tertiary public hospitals. Int J Environ Res Public Health. 2021;18(9):4539.
[Crossref] [Google Scholar] [PubMed]
- Maslach C, Jackson SE, Leiter MP, Schaufeli WB, Schwab RL. Maslach Burnout Inventory manual (MBI). 2016.
- Chemali Z, Ezzeddine FL, Gelaye B, Dossett ML, Salameh J, et al. Burnout among healthcare providers in the complex environment of the Middle East: A systematic review. BMC public health. 2019;19:1-21.
[Crossref] [Google Scholar] [PubMed]
- Khosravi M, Ghiasi Z, Ganjali A. Burnout in hospital medical staff during the COVID-19 pandemic: Diagnosis, treatment, and prevention. Journal of Natural Remedies. 2021;21(12 (1)):36-44.
[Google Scholar]
- Albar Marín M, García-Ramírez M. Social support and emotional exhaustion among hospital nursing staff. Eur J Psychiatry. 2005;19(2):96-106.
[Google Scholar]
- Li J, Han X, Wang W, Sun G, Cheng Z. How social support influences university students' academic achievement and emotional exhaustion: The mediating role of self-esteem. Learn Individ Differ. 2018;61:120-126.
[Crossref] [Google Scholar]
- Ruisoto P, Ramírez MR, García PA, Paladines-Costa B, Vaca SL, Clemente-Suárez VJ. Social support mediates the effect of burnout on health in health care professionals. Front psychol. 2021;11:623587.
[Crossref] [Google Scholar] [PubMed]
- Wang L, Wang H, Shao S, Jia G, Xiang J. Job burnout on subjective well-being among Chinese female doctors: The moderating role of perceived social support. Front psychol. 2020;11:435.
[Crossref] [Google Scholar] [PubMed]
- Kim D, Moon CW, Shin J. Linkages between empowering leadership and subjective well-being and work performance via perceived organizational and co-worker support. Leadersh Organ Dev J. 2018;39(7):844-858.
[Crossref] [Google Scholar]
- Diener E, Napa Scollon C, Lucas RE. The evolving concept of subjective well-being: The multifaceted nature of happiness. Assessing well-being: The collected works of Ed Diener. 2009:67-100.
[Crossref] [Google Scholar]
- Darvishmotevali M, Ali F. Job insecurity, subjective well-being and job performance: The moderating role of psychological capital. Int J Hosp Manag. 2020;87:102462.
[Crossref] [Google Scholar]
- Mbatha FN. Exploring the relationship between psychological capital, subjective well-being and performance of professional nurses within Uthungulu District Municipality in KwaZulu-Natal. Doctoral dissertation, South Africa. 2016. [ Google Scholar]
- Gallagher EN, Vella-Brodrick DA. Social support and emotional intelligence as predictors of subjective well-being. Pers Individ Differ. 2008;44(7):1551-1561.
[Crossref] [Google Scholar]
- Keyes CL, Magyar-Moe JL. The measurement and utility of adult subjective well-being. APA. 2003;pp.411-425. Google Scholar]
- Golestanibakht T, Hashemiyan K, Pourshahriyari M, Banijamali S. Proposed model of subjective well-being and happiness in the population of Tehran. M.A Thesis in Counseling, Alzahra of Tehran
- Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav. 1981;2(2):99-113. Crossref]
[Google Scholar]
- Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol. 2001;52(1):397-422 Crossref]
[Google Scholar] [PubMed]
- Ghaniyoun A, Soloukdar A. Burnout, dimensions and its related factors in the operational staff of Tehran Medical Emergency Center. J Health Promot Manag. 2016;5(3):37-44. [Crossref]
[Google Scholar]
- Paterson TT, Husband TM. Decision-making responsibility: Yardstick for job evaluation. Compens Rev. 1970;2(2):21-31.
[Crossref] [Google Scholar]
- Arshadi N, Piryaaee S. The relationship of Islamic work ethics with job satisfaction and intention of personel to leave work. Sceintefic Research Islamic Management. 2014;22(1):213-234.Google Scholar]
- Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30-41.
[Crossref] [Google Scholar]
- Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. 1990;55(3-4):610-617.
[Crossref] [Google Scholar] [PubMed]
- Besharat MA, Keshavarz S, Gholamalilavasani M, Arabi E. Mediating role of perceived social support between early maladaptive schemas and quality of life. J Psychology, 2018; 22(3):256-270. [Crossref]
[Google Scholar]
- Wang ML, Tsai LJ. Work–family conflict and job performance in nurses: The moderating effects of social support. J Nurs Res. 2014;22(3):200-207.
[Crossref] [Google Scholar] [PubMed]
- Amarneh BH, Abu Al-Rub RF, Abu Al-Rub NF. Co-workers’ support and job performance among nurses in Jordanian hospitals. J Res Nurs. 2010;15(5):391-401. Crossref]
[Google Scholar]
- Halbesleben JR, Bowler WM. Emotional exhaustion and job performance: The mediating role of motivation. J Appl Psychol. 2007;92(1):93-106.
[Crossref] [Google Scholar] [PubMed]
Citation: Mediating Role of Emotional Exhaustion and Subjective Well-Being in the Relationship between Perceived Social Support
and Job Performance of Nurses during the Corona Pandemic ASEAN Journal of Psychiatry, Vol. 25 (5) May, 2024; 1-12.