Mesut Ardıç1, Özgün Ünal2, Halil Türktemiz3. 1. PhD Student, Sakarya University Graduate School of Business, Sakarya, Turkey; Lecturer, Erbaa Health Services Vocational School, Medical Services and Techniques Department, Tokat Gaziosmanpasa University, Tokat, Turkey. 2. Research Assistant, Sakarya University Business School, Department of Healthcare Management, Sakarya, Turkey. 3. Lecturer, Medical Services and Techniques Department, Vocational School of Health Services, KTO Karatay University, Konya, Turkey.
Abstract
Background: During the COVID-19 pandemic, it is thought that nurses working at more intensive levels and in high-risk areas may increase their stress and decrease their motivations and performance. Aims: This study aimed to determine the effects of stress and work stress on nurses' motivations and performances. Methods: An online, cross-sectional survey, which used self-assessment scales to measure perceived stress, perceived work stress, motivation, and work performance was used as a data collection tool. The target population was all working nurses in a hospital. Results: One hundred and fourteen nurses completed the questionnaires. The results of the study show that the participants' perceived motivation level (3.131 ± 0.685), perceived stress level (2.885 ± 0.547), and perceived job stress level (3.202 ± 1.067) were at a medium level, while their perceived performance level (3.845 ± 0.783) was at a high level. According to correlation analyses results, increases in perceived stress levels of nurses decrease their motivations (r = -0.502) and performances (r = -0.603). Similarly, increases in perceived work stress levels of nurses decrease their motivations (r = -0.441) and performances (r = -0.534). According to the Structural Equation Modelling (SEM) analysis, motivation has a mediating role in the negative effect of perceived stresses on performance (β = -0.694) and augments such negative effect (β = -0.169). Similarly, motivation has a mediating role in the negative effect of perceived work stresses on performance (β = -0.295) and increases the negative effect of perceived work stress on performance (β = -0.097). Conclusions: Nurses' perceived stress and perceived work stress levels were not high, but an increase in these variables may decrease nurses' motivation and performance. Thus, controlling nurses' stress levels and identifying possible stress sources related to the COVID-19 pandemic are important to support nurses in their work.
Background: During the COVID-19 pandemic, it is thought that nurses working at more intensive levels and in high-risk areas may increase their stress and decrease their motivations and performance. Aims: This study aimed to determine the effects of stress and work stress on nurses' motivations and performances. Methods: An online, cross-sectional survey, which used self-assessment scales to measure perceived stress, perceived work stress, motivation, and work performance was used as a data collection tool. The target population was all working nurses in a hospital. Results: One hundred and fourteen nurses completed the questionnaires. The results of the study show that the participants' perceived motivation level (3.131 ± 0.685), perceived stress level (2.885 ± 0.547), and perceived job stress level (3.202 ± 1.067) were at a medium level, while their perceived performance level (3.845 ± 0.783) was at a high level. According to correlation analyses results, increases in perceived stress levels of nurses decrease their motivations (r = -0.502) and performances (r = -0.603). Similarly, increases in perceived work stress levels of nurses decrease their motivations (r = -0.441) and performances (r = -0.534). According to the Structural Equation Modelling (SEM) analysis, motivation has a mediating role in the negative effect of perceived stresses on performance (β = -0.694) and augments such negative effect (β = -0.169). Similarly, motivation has a mediating role in the negative effect of perceived work stresses on performance (β = -0.295) and increases the negative effect of perceived work stress on performance (β = -0.097). Conclusions: Nurses' perceived stress and perceived work stress levels were not high, but an increase in these variables may decrease nurses' motivation and performance. Thus, controlling nurses' stress levels and identifying possible stress sources related to the COVID-19 pandemic are important to support nurses in their work.
Coronavirus disease-2019 (COVID-19) has spread rapidly worldwide, has affected thousands of
people, and a high number of patients have died; thus, COVID-19 has been declared a pandemic
disease by the World Health
Organization (2020). Since a definitively successful treatment for COVID-19 has not
yet been developed, people are largely helpless against the virus and can only protect
themselves by taking precautions. Globally, the coronavirus carries a high risk of death
because of its high spread rate (Ahorsu
et al., 2020; Rezaeetalab et
al., 2020). This situation creates serious fear worldwide.Nurses are at the forefront of the treatment of patients, so they can be affected more
emotionally because they face more risks and establish a closer relationship with the
patients than other healthcare personnel. With the COVID-19 pandemic, many factors should be
considered for healthcare workers, such as providing direct care to infected patients,
staying away from their families and friends, working under intense conditions, working in a
stressful work environment, and increasing stress levels. Moreover, such stress may affect
healthcare workers’ performance of their tasks. In the present pandemic, considering the
chaotic environment and excessive workload on the healthcare workers, it is thought that the
motivations and performances of healthcare workers may be negatively affected. For this
reason, this study aimed to determine the effect of perceived stress and perceived work
stress experienced by nurses on their motivation and performance.
Background
Individuals with COVID-19 experience severe respiratory distress that requires
hospitalisation, but those with severe disease further need intensive care. Increased
demands on health services cause healthcare workers to work overtime (Xiao et al., 2020). Due to the pandemic, such an
increase in workload has revealed various situations among healthcare workers, such as the
inability to have adequate rest, exposure to many patients with COVID-19, and an increase in
the risk of healthcare workers of becoming infected (Wang et al., 2020). These risks also affect the
mental status of healthcare workers because they have to stay away from their family and
friends to prevent transmission (Kang
et al., 2020).Stress is defined as the introvert reaction of individuals to situations that they perceive
as a threat or difficulty throughout their lives (Özel and Karabulut, 2018). Stress can affect people
depending on various reasons (stressors). Some of these reasons may be related to the
individual, to the environment in which the individual resides, and to the general
environment in which the individual lives (Şanli, 2017).As in previous pandemic periods, the COVID-19 pandemic is an important risk factor for
healthcare workers (Spoorthy et al.,
2020), especially for nurses (Huang et al., 2020). Anxiety about deaths of families, colleagues, and patients
can cause stress among healthcare workers (Cai et al., 2020). During the pandemic period
dominated by a high risk of death and an environment of uncertainty, it is quite common for
healthcare workers to increase their stress levels. Stress negatively affects both mental
and physiological health (Demirci et
al., 2013). The reflection of stress on work status varies, but can cause serious
problems in the health sector.The stress can cause unwillingness to work, reluctance to go to work, making mistakes,
leaving work, poor quality of work, deterioration of relationships and cooperation with
colleagues, making inaccurate decisions, and negative behaviours (Aksoy and Kutluca, 2005). The effects of work stress
on the health sector may cause irrecoverable results. Literature data indicate that nurses’
stress affects their motivation and performance negatively (Abu Al Rub and Alzaru, 2008; Al-Khasawneh and Futa, 2013).Motivation is defined as employees' acting in line with a goal that reflects their desires
and wishes (Özdemir and Muradova,
2008). Motivation is divided into two types: internal and external. Internal
motivation is the motivational state that emanates from one’s motivation to work (Uludağ, 2019), while external
motivation occurs with factors such as wages, promotions, and appreciation by managers for
one’s work performance (Aslan and Doğan,
2020). Employees can be motivated to achieve organisational goals based on the
internal and external motivation factors. To achieve organisational goals, employees must
have high work performance (Ağirbaş et
al., 2005). Work performance is directly related to motivation, which, in turn
positively affects work performance (Zameer et al., 2014).Many factors affect the motivation of nurses. Some of these can be identified as nurse’s
participation in organisational decisions, importance of nursing, fair discipline, and
enjoying their profession (Hakmal et
al., 2012). Nurses find their job attractive, and appreciation of their work is one
of the factors that affects their motivation (Hanks, 1999). Nurses’ motivation to do their job
enables them to be friendly towards the patients and their relatives, show care required by
the nursing professions, manifest behaviours required by the health sector, and enjoy being
useful to others (Öztürk et al.,
2019). Motivated nurses may contribute positively to organisational performance and
patient satisfaction.Performance is another concept associated with stress and motivation. Moreover, nurse
performance is an important factor in ensuring patient care, satisfaction, and safety (Terzioğlu et al., 2016), and it is
directly related to the efficient, productive, and uninterrupted provision of healthcare
(Top et al., 2010). Nursing is
one of the career groups that requires high performance (Amarat et al., 2018). Studies have indicated that
nurses’ performance is affected by environmental conditions (Yildiz et al., 2014) and their personality (Yeh et al., 2016). A study concluded
that negative conditions, such as feeling tired, burnout, and loss of motivation, together
with stress caused by working conditions and processes, may affect their performance (Imirlioğlu, 2009). Decreasing the
workload of nurses, increased participation in clinical decisions, fair approaches in
arranging shifts and leave, provision of more job opportunities, and improving personal
rights are known factors that will increase nurses’ performance (Top et al., 2010).Health services are needed much more during the pandemic process. This need has increased
the workload of nurses and made working conditions even more unsafe. With the pandemic,
nurses work more intensely and are at increased risk, their motivation and performance are
reduced, and work stress levels amplified. Inevitably, these negative conditions among
nurses will negatively affect patient care.From all this information, the study’s hypotheses are as follows:Nurses’ perceived stress levels affect their motivation.Nurses’ perceived stress levels affect their performance.Motivation has a mediating role in the effects of perceived stress levels on nurses’
performance.Nurses’ perceived work stress affects their motivation.Nurses’ perceived work stress affects their performance.Motivation has a mediating role in the effects of perceived work stress on nurses’
performance.
Materials and methods
Participants and sampling
In this cross-sectional study, the study sample was composed of 330 nurses working in
Tokat Gaziosmanpaşa University Research and Application Hospital. This study aimed to
obtain the whole population of the university hospital, but only 120 (36.36%) participants
filled in the questionnaires. Since six of the participants did not fill out the entire
questionnaire, these questionnaires were not used in the analysis. In this context, the
sample of the study consisted of 114 (34.55%) nurses.
Survey methods and data collection
Data were collected by an online survey method. The online survey link was delivered to
the participants in various ways (WhatsApp, SMS, mail, etc.). Before the study,
permissions and approvals were obtained from the Ethics Committee of the University of
Sakarya (19/05/2020-E.4577), Turkey Scientific Research from the Ministry of Health
(2020-05-05T23_20_16), and the hospital’s management. The questionnaires were collected
between May 29, 2020, and June 28, 2020.
Measurements
In the study, survey technique was used as the data collection method. The questionnaire
consisted of five parts as follows:(1) Demographic information: There were four questions on age, sex, education
level, and professional experience of the employees.(2) Perceived Stress Scale: This scale was developed by Cohen et al. (1983). The Turkish validity
and reliability study was conducted by Eskin et al. (2013). The scale consists of
14 expressions and is designed to measure how stressful some situations in a
person’s life are perceived to be. The scale consists of two dimensions, but in the
present study, the scale dimensions were not used. Participants evaluated each item
on a 5-point Likert scale, ranging from 1 as “never” to 5 as “very often”. Seven of
the items containing positive statements are scored in reverse order.(3) Perceived Work Stress Scale: The scale was developed by Rizzo et al. (1970) to measure perceived
work stress, and it was adapted in Turkish by Gül (2007). The scale consists of five
expressions and has a 5-point Likert structure, with a score of 1 indicating
“strongly disagree” and 5 as “strongly agree.”(4) Motivation at Work Scale (MAWS): MAWS consists of four dimensions and 12
expressions, and the validity and reliability analyses of the English and French
versions were performed by Gagné et al. (2010). The Turkish validity and reliability study was
performed by Akbolat and Işik
(2012). The motivation scale was designed as having four factors, but in
the present study, the scale was considered as a single dimension of examining the
general level of motivation. The scale has a 5-point Likert structure, with a score
of 1 presenting “strongly disagree” and 5 presenting “strongly agree.”(5) Performance Scale: The scale was developed by Ergun (2008) and aimed to determine the
individual performance perceptions of the participants. The scale has nine items.
Additionally, the scale aims to determine the perception of poor performance; all
scale expressions are reversed. The scale has a 5-point Likert design, with a score
of 1 indicating “strongly disagree” and 5 indicating “strongly agree.”All these scales were used during self-assessments by the participants.
Statistical methods
SPSS Statistics version 22 was used in the data analysis. Data were analysed using
descriptive statistical methods, correlation analysis, and Process Macro Model 4
Structural Equation Modeling (SEM). Data were analyzed at 95% confidence interval.
Results
All of the participants were nurses. The mean age of the participants was 30.38 (±6.98)
years, which varied from 21 and 61 years. The average professional experience was 7.71
(±6.08) years, which varied between 1 and 35 years. A total of 114 participants were
enrolled in the study, comprised of 48 men and 66 women. Most of the participants were
undergraduate (73), and the remaining were at high school (21) and graduate (20) levels.
Fourteen of the nurses participating in the study worked in the emergency room, 10 in the
operating room, 30 in the intensive care unit, and 60 in the inpatient service.The results of the reliability analysis of the scales are presented in Table 1. The reliability values of
the scales are all >0.80, which means that the scales have high reliability.
Table 1.
Correlation analysis and descriptive statistics.
Variables
1
2
3
4
Mean
SD
Cronbach’s alpha
1. Motivation
1,00
3.131
0.685
0.851
2. Performance
.478a
1.00
3.845
0.783
0.844
3. Stress
−.502a
−.603a
1.00
2.885
0.547
0.851
4. Work stress
−.441a
−.534a
.669a
1.00
3.202
1.067
0.886
SD: standard deviation.
aCorrelations are significant at the 0.01 level.
Correlation analysis and descriptive statistics.SD: standard deviation.aCorrelations are significant at the 0.01 level.Results of the correlation analysis between research variables are shown in Table 1. The stress levels of
nurses are inversely related to motivation (r = −0.502) and performance
(r = −0.603). While the stress levels of nurses are increasing, their
motivation and performance are decreasing. Similarly, nurses’ perceived work stresses are
inversely related to motivation (r = −0.441) and performance
(r = −0.534). While the stress that nurses perceived about their work
increases, their motivation and performance decrease (Table 1).On five-point Likert scales it is possible to examine the average in three categories as
1.00–2.33 (low), 2.34–3.66 (medium) and above 3.67 (high) (Dilek et al., 2018). According to this, the
perceived motivation level, perceived stress level and perceived job stress level of the
participants are at a medium level, while the performance level is at a high level.SPSS PROCESS Macro Model 4 was used to reveal the effect of stress on job performance and
the mediating role of motivation. Details of the analysis results are shown in Figure 1.
Figure 1.
Results of model 1.
Results of model 1.The results of the analysis reveal that perceived stress negatively affects work
performance (β = −0.694) and motivation (β = −0.629) and
motivation affects performance (β = 0.268) positively. Moreover, motivation
mediates the effect of perceived stress on the performance and strengthens the negative
effect of perceived stress on performance (β = −0.169). According to these
results, H1, H2, and H3 hypotheses are accepted.SPSS PROCESS Macro Model 4 was used to reveal the effect of perceived work stress on job
performance and the mediating role of motivation in this effect. Details of the analysis
results are shown in Figure 2.
Figure 2.
Results of model 2.
Results of model 2.The results of the analysis presented that perceived work stress negatively affects work
performance (β = −0.295) and motivation (β = −0.283) and
that motivation affects performance (β = 0.344) positively. Moreover,
motivation mediates the effect of perceived work stress on performance and increases the
negative effect of perceived work stress on performance to a small extent
(β = −0.097). Similar to model 1, model 2 shows that motivation alone
affects performance positively. However, perceived work stress lowers motivation, and low
motivation decreases with perceived work stress. According to these results,
H4, H5, and H6 hypotheses are accepted.
Discussion
The COVID-19 pandemic has caused an increase in the working hours, workload, and stress
levels of healthcare workers, especially nurses (Cai et al., 2020). The results of this study revealed
that the perceived stress levels and work stresses of nurses were middle level during the
COVID-19 outbreak. According to studies conducted during the COVID-19 pandemic, the stress
levels of doctors and nurses were moderate level (Xiao et al., 2020), the work stress level of nurses
was below the middle level (Mo et al.,
2020). A recent study revealed that only 5.2% of 906 healthcare professionals
working during the COVID-19 pandemic experienced stress (Chew et al., 2020). This condition can be explained
by the uncertainty inherent in the profession of healthcare workers and their familiarity
with this uncertainty. In addition, the high ethical principles of healthcare workers may
play a role in suppressing the stress level which they feel. The results of the present
study reveal that the higher perceived work stress of nurses may be related to the
uncertainty in health services during the COVID-19 pandemic.The results from this study show that the motivations of the nurses working in the
frontline of the COVID-19 pandemic are at a medium level and their perceived performance
levels are high. A study supposed that the ambiguous and uncontrollable nature of the health
services during a pandemic and the fact that nurses have to stay away from their families
may affect their psychological status (Mo et al., 2020). This situation negatively affects the motivation of nurses.
Furthermore, the fact that nurses devote themselves to their professions and provide health
services by exposing their own lives may affect their perceived performance positively.According to the results, when the stress and perceived work stress levels of the nurses
increased, their motivation and performance decreased. This result highlights that nurses’
stress can negatively affect their service delivery. Some studies have supported these
findings. Abu Al Rub et al.
(2008) conveyed an inverse relationship between nurses’ perceived work stresses and
performances, and Al-Khasawneh and Futa
(2013) reported that some stressors decreased the performance of nurses, while
affecting motivation and performance negatively.While nurses’ stress and work stress negatively affect their performance, low motivation
further decreases their performance. The study results present a positive relationship
between motivation and performance. In this case, low motivation due to perceived stress and
perceived work stress causes a decrease in performance as well. Similar to the results
obtained from the present study, a study conducted in different sectors reported that
motivation mediates the effect of stress on performance and strengthens the negative effect
(Zeb et al., 2015).
Limitations of the study
The study was carried out in a single centre and the number of participants in the study
was low. This shows that the study is generalisable only for the relevant hospital.
Therefore, this study can be defined as a pilot study. Study data were collected using an
online survey technique. This technique allows participants to answer questions when they
are available, but does not allow the participant to ask directly about unclear items. The
most important study limitation is that self-reported scales are used. In this case, the
participants can express what “they should be,” which shows social bias. There are
important studies on this subject, but comprehensive studies are needed to raise awareness
(Van de Mortel, 2008).
Conclusions
At present, COVID-19 directly threatens public health. As an important part of the society,
healthcare workers, especially nurses, are adversely affected by this pandemic. Therefore,
empirical studies are important to reveal their psychological states and the possible
consequences hereof. From this aspect, the present study reveals the effects of health
workers’ stresses and work stresses on their motivations and performances.The results of the study provide some valuable and useful information for nursing
management. First, nurses’ stress levels at the time of this study during the pandemic were
still moderate. Additionally, it is very important to keep the stress levels of the nurses
under control so that health services can be provided without any disruption. From this
study, nurse managers should take precautions to maintain the stress levels of nurses at
this level by taking into consideration the pandemic process and institutional structures.
Moreover, increasing stress of nurses affects their motivation and performance negatively.
Therefore, offering psychological support to nurses and arranging their working hours as
suitably as possible are necessary.
Key points for policy, practice and/or future research
• The increasing work stress of nurses affects their motivation and performance
negatively.• The increasing stress of nurses affects their motivation and performance
negatively.• Motivation reduces the strength of the negative effects of stress and work
stress on performance.• Nurse managers need to take measures to reduce stress and work stress and
increase motivation to increase the performance of nurses.• More studies are needed on the stresses of nurses during the COVID-19
pandemic process.
Authors: Nicholas W S Chew; Grace K H Lee; Benjamin Y Q Tan; Mingxue Jing; Yihui Goh; Nicholas J H Ngiam; Leonard L L Yeo; Aftab Ahmad; Faheem Ahmed Khan; Ganesh Napolean Shanmugam; Arvind K Sharma; R N Komalkumar; P V Meenakshi; Kenam Shah; Bhargesh Patel; Bernard P L Chan; Sibi Sunny; Bharatendu Chandra; Jonathan J Y Ong; Prakash R Paliwal; Lily Y H Wong; Renarebecca Sagayanathan; Jin Tao Chen; Alison Ying Ying Ng; Hock Luen Teoh; Georgios Tsivgoulis; Cyrus S Ho; Roger C Ho; Vijay K Sharma Journal: Brain Behav Immun Date: 2020-04-21 Impact factor: 7.217