Resilience and Its Relationship With Occupational Stress and Professional Quality of Life Among Nurses in COVID-19 Isolation Wards

DOI: https://doi.org/10.21203/rs.3.rs-240339/v1

Abstract

Background: Nurses’ direct and continuous contact with patients afflicted by coronavirus disease 2019 (COVID-19) causes them stress due to fear over affliction and reduces their professional quality of life (PQOL). Resilience has potential protective effects against different stressors. This study aimed to assess resilience and its relationship with occupational stress (OS) and PQOL among nurses in COVID-19 isolation wards.

Methods: This descriptive-analytical study was conducted in 2020. Participants were nurses in the COVID-19 isolation wards of healthcare centers affiliated to Khoy University of Medical Sciences, Khoy, Iran. In total, 158 eligible nurses were recruited through a census. Data were collected using a researcher-made demographic questionnaire, the short version of the Connor-Davidson Resilience Scale, the Nursing Stress Scale, and the PQOL Scale. Data analysis was performed using the SPSS software (v. 16.) and through the independent-sample t test, one-way analysis of variance, Pearson’s correlation analysis, and linear regression analysis.

Results: The total mean scores of resilience and OS were 26.19±6.2 (in the possible range of 0–40) and 73.3±14.5 (in the possible range of 34–136), respectively. The mean scores of the compassion satisfaction, job burnout, and secondary traumatic stress dimensions of PQOL were respectively 38.02±8.16, 30.84±5.45, and 27.66±6.13, (all in the possible range of 10–50). Most participants experienced moderate OS (57.9%). The mean scores of participants’ resilience and OS had no significant relationship with their demographic characteristics (P > 0.05). Resilience had significant negative relationship with OS (r = –0.376, P < 0.001) and significant positive relationship with the compassion satisfaction dimension of PQOL (r = 0.373; P < 0.001). Resilience was also a significant predictor of OS and the compassion satisfaction dimension of PQOL (P < 0.001).

Conclusion: Nurses’ OS can be reduced through resilience-promoting strategies such as development of their social support network, improvement of their optimism, and provision of resilient role models and quality resilience-related education.

Introduction

Communicable diseases, such as coronavirus disease 2019 (COVID-19), are the most ancient health problems for human beings and are still a major health problem throughout the world despite substantial medical advances in disease prevention and management 1. COVID-19 is a pneumonia-like communicable disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COVID-2). The main symptoms of the disease are respiratory and gastrointestinal problems. In severe cases, the disease appears as self-limiting pneumonia, acute respiratory distress, septic shock, or multiple organ dysfunction syndrome 2. COVID-19 was first diagnosed in December 2019 in Wuhan, China, and then, rapidly spread throughout the world and turned into the COVID-19 pandemic 3. According to the statistics provided by the World Health Organization, there were 72 million patients with COVID-19 and more than 1.65 relevant deaths until December 17, 2020. COVID-19 is most prevalent in the United States, India, Brazil, Russia, and France so that more than 50% of the approved cases of the disease are in these countries. The number of patients with COVID-19 and the number of deaths due to the disease in Iran were respectively 1.13 million and 53000 until December 17, 2020 4.

As key members of healthcare delivery teams, nurses are in the frontline of care delivery to patients with COVID-19. Nurses’ direct and continuous contact with afflicted patients exposes them to the high risk of affliction by COVID-19 and hence, they experience severe stress and have concerns over affliction by COVID-19 or its transmission to others 5. Recent studies show that 60–70% of nurses who care for patients with COVID-19 experience moderate to severe occupational stress (OS) 6, 7.

OS is associated with many different consequences for nurses. For instance, it reduces their professional quality of life (PQOL) 8, 9. PQOL refers the positive and negative emotions individuals experience due to their work as helper 10. It has three main dimensions, namely compassion satisfaction, job burnout, and secondary traumatic stress 11. Studies showed that OS had significant negative relationship with nurses’ quality of work life 12 and the compassion satisfaction dimension of PQOL, while it had significant positive relationship with the job burnout and the secondary traumatic stress dimensions of PQOL 13. On the other hand, staff with low PQOL have poorer organizational identity, job satisfaction, and occupational performance and are more likely to quit their job 14, 15.

Resilience is a significant factor affecting nurses’ perceived stress 16. By definition, resilience is durability against injuries and life-threatening conditions as well as active participation in the environment which enables individuals to maintain homeostasis in stressful conditions 17, 18. Resilience results in optimism and improves quality of life and self-efficacy among nurses 19. A study on Korean nurses reported a significant negative relationship between resilience and OS 20. Another study in Iran revealed that resilience training significantly reduced OS among critical care nurses 21.

Despite the significant effects of OS and resilience on PQOL, there are limited data about their effects on PQOL among nurses in COVID-19 isolation wards. Therefore, the present study was designed and made in order to narrow this gap. The aim of the study was to assess resilience and its relationship with OS and PQOL among nurses in COVID-19 isolation wards.

Methods

Design

This descriptive-analytical study was conducted in 2020.

Participants

Study population consisted of all nurses in the COVID-19 isolation wards of healthcare centers affiliated to Khoy University of Medical Sciences, Khoy, Iran. In total, 158 eligible nurses were recruited to the study through a census. Inclusion criteria were perfect self-reported physical and mental health, bachelor’s degree or higher in nursing, and direct contact with COVID-19 patients as a hospital nurse for at least one month. The only exclusion criterion was no response to at least 20% of the items of the study instruments. Sample size was calculated with a coefficient of resilience-PQOL correlation of 0.139 22, a confidence interval of 0.95 (i.e. a of 1.96), and a power of 0.8. The sample size calculation formula (Fig. 1) showed that 158 nurses were needed for the study.

Data collection

Data were collected using a researcher-made demographic questionnaire, the short version of the Connor-Davidson Resilience Scale, the Nursing Stress Scale, and the PQOL Scale.

The short version of the Connor-Davidson Resilience Scale was developed in 2003 for resilience assessment. It has ten items scaled on a five-point Likert scale as follows: 0: “Not true at all”; 1: “Rarely true”; 2: “Sometimes true”; 3: “Often true”; and 4: “True nearly all of the time”. The possible total score of the scale is 0–40, with higher scores standing for greater resilience 17. A former study confirmed the content validity and the reliability of this scale and reported that its Cronbach’s alpha was 0.82 23.

The Nursing Stress Scale was developed in 1981 and contains 34 items in seven dimensions about stressful conditions for nurses, namely death and dying (seven items), conflict with physicians (five items), inadequate preparation (three items), lack of support (three items), conflict with other nurses (five items), workload (six items), and uncertainty concerning treatment (five items). Items are scaled on a four-point scale as follows: 1: “Never”; 2: “Occasionally”; 3: “Frequently”; and 4: “Very frequently”. The possible total score of the scale is 34–136 and is interpreted as follows: ≤ 68: mild stress; 69–103: moderate stress; ≥ 104: severe stress 24. A former study confirmed the validity and reliability of the Persian version of this scale and reported a test-retest correlation coefficient of 0.74 25.

PQOL was measured using the PQOL Scale. This scale has thirty items in three ten-item dimensions, namely compassion satisfaction, job burnout, and secondary traumatic stress. Items are scaled on a five-point scale from 1 (“Never”) to 5 (“Very often”). The possible total score of the dimensions is 10–50 and is interpreted as follows: ≤ 22: low compassion satisfaction, job burnout, and secondary traumatic stress; 23–41: moderate compassion satisfaction, job burnout, and secondary traumatic stress; and ≥ 42: high compassion satisfaction, job burnout, and secondary traumatic stress 11. There is no total score for this scale. A study in Iran confirmed the content validity and reliability of this scale and reported a Cronbach’s alpha of 0.89 26.

For data collection, study instruments were provided to participants and they were asked to complete and return them in their next work shift.

The SPSS software (v. 16.0) was used for data analysis. The relationship of resilience with OS and PQOL was examined through the Pearson’s correlation analysis and the linear regression analysis. Moreover, the relationship of demographic characteristics with resilience, OS, and PQOL was examined using the independent-sample t test or the one-way analysis of variance. The level of significance was set at less than 0.05.

The Ethics Committee of Khoy University of Medical Sciences, Khoy, Iran, approved this study (code: IR.KHOY.REC.1399.017). Participants were individually informed about the voluntariness of participation, anonymity of the instruments, and confidentiality of data management. Written informed consent was also obtained from all of them.

Results

In total, 158 nurses working in COVID-19 isolation wards participated in this study. The means of their age and work experience were 32.57 ± 6.32 and 8.88 ± 5.97 years, respectively. Most participants aged 20–29 years (53.16%), were female (50.64%) and married (53.8%), held bachelor’s degree in nursing (94.9%), had conditional permanent employment (57.6%), and had a work experience of 1–5 years (60.12%). Table 1 shows their demographic characteristics.

The means of participants’ resilience and OS were 26.19 ± 6.2 (in the possible range of 0–40) and 73.3 ± 14.5 (in the possible range of 34–136), respectively. The mean scores of their PQOL were 38.02 ± 8.16 in the compassion satisfaction dimension, 30.84 ± 5.45 in the job burnout dimension, and 27.66 ± 6.13 in the secondary traumatic stress dimension (all in the possible range of 10–50). The level of participants’ OS was mild in 40.4% of cases, moderate in 57.9% of cases, and severe in just one case.

The results of the independent-sample t test and the one-way analysis of variance showed no significant relationship between participants’ demographic characteristics and the mean scores of their resilience, OS, and the job burnout and the secondary traumatic stress dimensions of PQOL (P > 0.05). However, the mean score of the compassion satisfaction dimension of their PQOL had significant relationship with their educational level and official position (Table 1).

The highest and the lowest dimensional mean scores of PQOL in the 0–100 range were respectively related to the compassion satisfaction dimension (70.06) and the secondary traumatic stress dimension (55.32) (Table 2).

The Pearson’s correlation analysis showed that the mean score of resilience had significant negative relationship with the mean scores of OS and all its dimensions (P < 0.05) except for the lack of support dimension (P > 0.05). Moreover, the mean score of resilience had significant positive relationship only with the compassion satisfaction dimension of PQOL (P < 0.001) (Table 2).

Table 1

Participants’ demographic characteristics and their relationships with resilience, OS, and PQOL dimensions

Characteristics

N (%)

Resilience

Stress

PQOL

Compassion satisfaction

Job burnout

Secondary traumatic stress

Mean

p

Mean

p

Mean

p

Mean

p

Mean

p

Age (Years)

20–29

84 (53.16)

26.6

0.66

75.5

0.5

37.05

0.3

30.35

0.65

26.97

0.61

30–39

55 (34.81)

25.65

72.01

37.85

31.32

28.23

≥ 40

19 (12.03)

26.89

72.42

40.57

30.47

27.47

Gender

Male

78 (49.36)

26.21

0.95

69.9

0.08

38.02

0.99

31.05

0.48

28.12

0.18

Female

80 (50.64)

26.14

74.7

38.05

30.35

26.58

Marital status

Single

73 (46.2)

26

0.77

73.74

0.77

36.68

0.12

31.07

0.68

27.19

0.46

Married

85 (53.8)

26.3

72.95

39.11

30.65

28.04

Educational level

Bachelor’s

150 (94.9)

26.12

0.46

73.28

0.95

37.54

0.007

30.94

0.28

27.67

0.95

Master’s and higher

8 (5.1)

27.33

73.66

46.66

29

27.5

Employment status

Permanent

35 (22.15)

24.94

0.46

74.11

0.94

38.11

0.99

30.22

0.72

27.74

0.79

Contractual

19 (12.02)

25.94

74.31

38.42

30.21

28.47

Conditional permanent

91 (57.6)

26.85

72.59

37.78

31.34

27.04

Mandatory service

13 (8.22)

27.53

72.23

38.07

31.61

28.53

Work experience (Years)

1–5

95 (60.12)

26.21

0.82

75.95

0.49

36.82

0.16

30.21

0.75

26.8

0.42

6–10

32 (20.25)

25.62

70.9

36.65

31.62

28.5

11–15

24 (15.18)

26.04

71.95

40.8

31.16

28.83

16–20

17 (10.75)

27.41

73.35

39.58

30.41

26.52

Official position

Head nurse

5 (3.17)

26.65

0.66

74.82

0.6

34.34

0.028

32.08

0.3

29

0.31

Nurse

153 (96.83)

26.32

72.92

38.95

30.52

27.32

 

Table 2

The mean scores of OS and PQOL and their relationships with resilience

Variables

Mean ± SD

Mean

(0–100)

Relationship with resilience

r

P

OS

Death and dying

16.14 ± 3.76

57.64

–0.252

0.007

Conflict with physicians

10.4 ± 2.88

52

–0.447

< 0.001

Inadequate preparation

5.47 ± 1.74

45.58

–0.274

0.008

Lack of support

4.93 ± 1.45

41.08

0.04

0.669

Conflict with other nurses

10.59 ± 3.47

52.95

–0.309

0.001

Workload

13.87 ± 4.1

57.79

–0.187

0.046

Uncertainty concerning treatment

11.86 ± 2.92

59.3

–0.338

0.000

Total

73.3 ± 14.16

53.89

–0.376

0.000

PQOL

Compassion satisfaction

38.02 ± 8.16

70.06

0.373

0.000

Job burnout

30.84 ± 5.45

61.68

0.046

0.63

Secondary traumatic stress

27.66 ± 6.13

55.32

– 0.151

0.109

*: Mean in the 0–100 scale was calculated through dividing the raw score by the maximum possible score and multiplying the result by 100

 

The results of the linear regression analysis revealed that resilience significantly predicted 14% of the total variance of OS (P < 0.001) and 25% of the total variance of the compassion satisfaction dimension of PQOL (P < 0.001). However, resilience was not a significant predictor of the job burnout and the secondary traumatic stress dimensions of PQOL (P > 0.05) (Table 3).

Table 3

The results of the linear regression analysis to determine the predictors of OS and PQOL

Dependent variable

Model

Std. Error

R

R2

F

Sig.

B

β

t

Sig.

OS

Constant

5.94

0.38

0.14

18.45

< 0.001

96.27

-

17.52

< 0.001

Resilience

0.2

–0.88

− 0.38

-4.3

< 0.001

Compassion satisfaction

Constant

3.1

0.5

0.25

4.39

< 0.001

25.18

-

8.1

< 0.001

Educational level

3.2

6.92

0.19

2.16

0.033

Official position

1.8

4.3

0.21

2.37

0.019

Resilience

0.12

0.49

0.373

4.25

< 0.001

Job burnout

Constant

2.32

0.05

0.002

0.23

0.63

29.79

-

13.34

< 0.001

Resilience

0.08

0.04

0.046

0.48

0.63

Secondary traumatic stress

Constant

2.49

0.15

0.022

2.62

0.109

31.57

-

12.7

< 0.001

Resilience

0.09

-0.15

0.543

-1.61

0.1

Discussion

This study assessed resilience and its relationship with OS and PQOL among nurses in COVID-19 isolation wards. Findings showed that the mean score of participants’ resilience was 26.19 ± 6.2 (in the possible range of 0–40), denoting moderate to great resilience. In line with this finding, former studies on nurses in intensive care units and COVID-19 isolation wards also reported relatively great resilience 23, 27 and moderate to great resilience 28, 29.

Study findings also showed that the mean score of OS was 73.3 ± 14.5 (in the possible range of 34–136), denoting moderate level of OS among participants. Moreover, more than 57.9% of participants had moderate OS. In line with this finding, a former study during the Severe Acute Respiratory Syndrome epidemic in Singapore revealed that more than half of the nurses had moderate stress 30. Another study reported moderate to severe stress among nurses in COVID-19 isolation wards 31. The main reasons for the moderate to high levels of OS among nurses in COVID-19 isolation wards include their heavy workload, uncertainty over treatment effectiveness, fear over affliction by COVID-19 and its transmission to others, use of warm and heavy personal protective equipment, and continuous use of mask 32, which put them at risk for different psychological disorders 20, 33, 34. Contrary to these findings, two former studies in China and Egypt reported the very high level of OS among nurses in COVID-19 isolation wards 35, 36. This contradiction is probably due to the greater number of female nurses in those studies and the significantly higher levels of OS among female nurses 36.

We also found that participants suffered from moderate to severe job burnout and secondary traumatic stress. A former study reported that nurses and physicians in COVID-19 wards experienced moderate job burnout and compassion satisfaction 37. Another study showed that during the COVID-19 pandemic, healthcare providers had moderate compassion satisfaction, job burnout, and secondary traumatic stress 38. These findings are due to the fact that nurses are in the frontline of care delivery to patients with COVID-19 and hence, are at great risk for psychological disorders such as depression, which in turn increases their fatigue and reduces their PQOL 39. Moreover, the mean score of compassion satisfaction in the present study was relatively greater than the mean score of nurses’ compassion satisfaction in studies conducted before the COVID-19 pandemic 22, 40. This contradiction may be due to the fact that individuals experience good feelings when they see that their services are beneficial to others, particularly in critical conditions 41, 42.

Our findings also showed that resilience among nurses in COVID-19 isolation wards had significant negative relationship with their OS, denoting that more resilient nurses had lower OS. Two former studies also reported lower levels of OS among nurses with greater resilience 43, 44. Resilience enables nurses to use effective coping skills for effectively coping and working in stressful conditions 31. In overall, more resilient individuals are more optimistic, consider problems as opportunities for learning and development, and have greater recovery abilities, more flexible thinking skills, greater perseverance, greater stamina, greater problem-solving skills, and greater conflict management skills 32. Therefore, OS among nurses in COVID-19 isolation wards can be reduced through interventions for promoting their resilience.

We also found that the mean score of resilience had significant positive relationship with the mean score of the compassion satisfaction of PQOL. A former study also reported that mental health professionals with higher compassion satisfaction experienced significantly lower levels of psychological tension 45. These findings can be attributed to the protective effects of resilience against OS.

Limitations

Study data were collected through the self-report method and hence, might have been subjected to some levels of measurement bias. Moreover, the study was conducted in the COVID-19 isolation wards of healthcare centers affiliated to Khoy University of Medical Sciences, Khoy, Iran, and may not completely be generalizable to nurses in other areas. Studies in other settings and on different healthcare providers, including nursing managers as well as nurses in different hospital wards, are recommended to produce more reliable results.

Conclusion

This study concludes that nurses in COVID-19 isolation wards have great resilience, moderate OS, and moderate PQOL and their resilience is a significant predictor of their OS and compassion satisfaction. Accordingly, strategies are needed to promote their resilience, reduce their OS, and improve their PQOL. These strategies include development of their social support network, improvement of their optimism, and provision of resilient role models and quality resilience-related education.

Declarations

Ethical approval and consent to participate

The current study was conducted in accordance with the Declaration of Helsinki and approved by the Ethical Committee of Khoy University of Medical Sciences, Khoy, Iran (code: IR.KHOY.REC.1399.017). All participation was voluntary, their informed written consent and all data were treated confidentially.

Consent for publication

Not Applicable.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request

Competing interests

The authors declare that they have no competing interest.

Funding

This work was financially supported by Khoy University of Medical Sciences under Grant No. IR.KHOY.REC.1399.017.

Authors' contributions

AM designed the study, participated in data analysis and interpretation, and wrote the manuscript. SG assisted in data analysis and interpretation, and critically reviewed the manuscript. NS assisted in data collection and extraction. KG contributed to the data collection, and writing of the manuscript. ZH oversaw the entire study process and participated in the revision and acted as the corresponding author. The final manuscript was read and approved by all authors.

Acknowledgement

We would like to thank the Research and Technology Administration of Khoy University of Medical Sciences, Khoy, Iran, for its tangible and intangible support for the present study as well as all nurses who participated in the study.

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