Skip to main content
Erschienen in:

Open Access 01.12.2024 | Research

Relationship between job burnout and presenteeism in anesthesia nurses: mediating effect of psychological capital

verfasst von: Jie Cheng, Xiaoli Xia, Mei Hong, Xue Lin, Daiying Zhang, Jianlan Ren

Erschienen in: BMC Nursing | Ausgabe 1/2024

Abstract

Background

Psychological capital can effectively alleviate job burnout and improve career autonomy and job satisfaction. However, there is a lack of research on the mediating role of psychological capital between job burnout and preseneeism in Chinese anesthesia nurses.

Aims

The mediating role of psychological capital between job burnout and presenteeism based on constructing structural equation models in anesthesia nurses.

Methods

This study was a cross-sectional study design. From June to July 2024, convenience sampling was used to conduct a questionnaire survey of 568 anesthesia registered nurses in different levels of hospitals in Sichuan Province. The self-designed general information questionnaire, Chinese version of Stanford Invisible Absence Scale (SPS-6), Psychological Capital Scale-Chinese Revised (PCQ) and Maslach Burnout Inventory-General Survey (MBI) were used to investigate the status through the form of questionnaire star. Pearson correlation analysis was used to explore the interaction among psychological capital, job burnout and presenteeism. AMOS 26.0 software was used to further verify the mediating effect of psychological capital between job burnout and preseneeism, and to construct the corresponding path relationship model.

Results

The scores of psychological capital, job burnout and preseneeism were 93.31 ± 14.33, 56.35 ± 17.67 and 18.96 ± 4.97, respectively. Job burnout of anesthesia nurses was significantly negatively correlated with psychological capital (r=-0.558, P < 0.01), and was significantly positively correlated with presences (r = 0.465, P < 0.01). Psychological capital was significantly negatively correlated with presences (r=-0.495, P < 0.01). In addition, psychological capital was identified as a partial mediating effect between job burnout and preseneeism in the mediation model, and the mediating effect was 0.279, accounting for 48.18% of the total effect.

Conclusion

The job burnout of anesthesia nurses has reached a moderate level, and job burnout can positively predict preseneeism. Psychological capital partially mediates the positive effect of job burnout on preseneeism, and the improvement of its level has a positive effect on reducing job burnout and preseneeism of anesthesia nurses. Therefore, enhancing psychological capital has become an important way to relieve the occupational stress and improve work efficiency of anesthesia nurses.
Hinweise
Jie Cheng and Xiaoli Xia contributed equally to this manuscript

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Presenteeism has become an important global public health problem, which not only affects the physical and mental health of employees, but also has a negative impact on the operating efficiency and quality of the entire organization. In the medical field, as an important part of the medical team, nurses are significantly more likely to suffer from presenteeism than other occupations, and their presenteeism is particularly worthy of attention [1, 2]. This phenomenon has a direct correlation and urgency with the core goal of the National Nursing Development Plan (2021–2025) formulated by the Chinese health department, which is to improve the quality and level of nursing services [3]. This plan focuses on improving the quality and level of nursing service, strengthening the construction of the nurse team, optimizing the management and operation system of the efficiency of nursing resource allocation, so as to achieve the goal of high-quality development of nursing service.
Previous studies have shown that presences are affected by multiple factors, including personal characteristics (age, gender, marital status, and physical and mental state) and working conditions (department characteristics, organizational climate, work system, scheduling, and burden) [4]. Among them, psychological capital of nurses was negatively correlated with presenteeism [5], while job burnout was significantly positively correlated with it, that is, the degree of job burnout was deepened, and the rate of presenteeism was increased [6]. Although the relationship between job burnout and presenteeism has been confirmed, and the influence of psychological capital cannot be ignored, few studies have used psychological capital and job burnout as variables to explore their relationship with presenteeism, especially the potential mediating role of psychological capital between the two, which needs to be further explored.

Background

Presenteeism is a condition in which employees continue to work even though their health productivity is impaired or because they are unable to focus on other things. Performance is a kind of duty, duty in office is not the phenomenon [7]. It is worth noting that compared with the explicit loss caused by the direct absence due to illness, the harm of recessive absence is more profound and widespread. Studies have shown [8, 9] that it not only directly leads to the decline of nursing quality, increases the risk of nursing errors and adverse events, and endangers the safety of patients, but also reduces the work efficiency of nurses, and reduces the happiness and sense of accomplishment that nurses can experience. In view of the particularity of nursing work, such as high intensity, resource strain, irregular work and rest, nurses are more likely to become a high incidence group of presences [1]. A multi-country study [10] of presenteeism found that it is common in nursing work (about 49%), and anesthesia nurses work much longer with anesthesiologists in a closed environment than other nurses, and are required to be ready to participate in the emergency treatment of patients at any time, which leads to high occupational exposure risk and psychological stress, threatening their physical and mental health [11]. This hinders the overall high-quality development of the nursing team. Therefore, it is still necessary to explore the factors that promote the occurrence of recessive absence of anesthesia nurses, so as to provide theoretical basis for nursing managers to adopt efficient strategies to prevent recessive absence.
Job burnout usually comes from individuals who are prone to feel defeat, fatigue, and pressure accumulation under the continuous action of external environmental adverse factors. When these negative feelings are not effectively relieved in time, it will lead to the exhaustion of physical and mental state [12]. It includes three dimensions: emotional exhaustion, depersonalization and low personal accomplishment. Studies show that emotional exhaustion in job burnout has a significant positive effect on presenteeism [13]. With the accumulation of negative emotions, work efficiency decreases significantly, and presenteeism occurs frequently [14].
Hypothesis 1
Job burnout is positively correlated with presenteeism among nurses.
Psychological capital is a positive psychological state displayed by individuals in the process of growth and development, including self-efficacy, hope, optimism and resilience [15]. These positive psychological resources are considered as an important organizational resource to help individuals cope with stress and challenges, and then have a positive impact on employees’ work attitude, behavior and performance [16].
Therefore, as a positive psychological state, psychological capital can be used as a protective factor to resist the harm of external environment and negative emotions to their mental and physiological health, which is related to the recessive absence of nurses. Studies have shown that [5, 17] for nurses who are under high pressure for a long time, improving psychological capital can effectively alleviate occupational stress and reduce job burnout. Job burnout and occupational stress are two important influencing factors of presences, which have a predictive effect on presences, and psychological capital level can effectively reduce the occurrence of presences.
Hypothesis 2
Psychological capital is negatively associated with presenteeism among nurses.
Existing studies have shown that there is a significant correlation between job burnout and presenteeism [6, 18, 19], but the specific mechanism between them is not completely clear. Psychological capital is related to job burnout of nurses, and job burnout is a risk factor affecting nurses’ mental health [20, 21]. Psychological capital has also been confirmed to affect mental health [22, 23], and personal mental health status has a strong relationship with presenteeism [24]. Thus, inferring psychological capital as a potential mediating variable may play a key role in the relationship between burnout and presenteeism. Specifically, nurses with high psychological capital are more likely to face the stress and challenges in their work with a positive attitude, thereby reducing the degree of job burnout. At the same time, they are also more likely to maintain efficient work status and good work discipline, and reduce the occurrence of recessive absence.
Hypothesis 3
Job burnout is negatively associated with psychological capital among nurses.
Hypothesis 4
Psychological capital mediates the relationship between Job burnout and presenteeism.

Method

Study design

A descriptive cross-sectional path analysis study was conducted.

Participants

Using the convenient sampling method, we recruited anesthesiology nurses from different levels of hospitals in Sichuan Province as the research objects. Anesthesia nurses who met the inclusion criteria and agreed to participate in the study were given an online questionnaire. The following were the inclusion criteria: (a) clinical in-service nurses holding a registered nurse qualification certificate, (b) engaged in anesthesia nursing for more than 6 months, and (c) informed consent to be willing to participate in this study. On the contrary, the exclusion included (a) advanced students and interns, and (b) those who went out for advanced study, maternity leave, or sick leave in the department of anesthesiology. The final number of nurse anesthetists included in the survey was 568.

Measures

Demographic characteristics

The items of the self-made general information questionnaire for anesthesia nurses were customized according to the purpose and content of the study, including demographic information and work situation. The demographic information included gender, age, education level, marital status, etc. Work status included working years, professional title, monthly income, night shift, etc.

Psychological capital questionnaire revised version, PCQ

The Chinese version of Psychological Capital Questionnaire, compiled by scholars Luthans [25]. , translated and revised by Chinese scholars Luo Hong [26]. , was used to evaluate the positive psychological state of individuals. The questionnaire included 20 items and 4 dimensions: self-efficacy, hope, optimism and resilience. Likert 6-point grading scoring method was used, and the scores were 1 to 6 from “strongly disagree” to “strongly agree”, which had good reliability and validity. The internal consistency Cronbach’s α coefficient of the scale was 0.819. The total score ranges from 20 to 120, with higher scores indicating higher levels of psychological capital. In this study, the overall Cronbach’s α coefficient of the PCQ scale was 0.936, and the α coefficient of each dimension of the scale was 0.910 ~ 0.929.

Maslach burnout inventory, MBI

MBI can objectively reflect the occupational stress level of nurses. A revised MBI-GS [27] was used to assess nurse anesthetist burnout. It was revised by Song Shuang [28], including 3 dimensions and 22 items, respectively, reflecting individual emotional exhaustion, depersonalization and personal sense of achievement, with 9, 5 and 8 items respectively. The scale was scored from 0 to 6 points using a 7-point scale, and the higher the score, the higher the level of job burnout. The reliability and validity of the scale were good, and the Cronbach’s α coefficient was 0.825. The overall Cronbach’s α coefficient of the MBI scale in this study was 0.916. The α coefficient of each dimension of the scale was 0.884 ~ 0.915.

Stanford presenteeism scale-6, SPS-6

The scale was developed by Professor Koopman et al. [29] from Stanford University and translated into Chinese by Zhao Fang [30]. It was mainly used to understand the productivity loss due to health conditions in the past month. The scale is a single-dimension, 6-item Likert 5-point scale. “Strongly disagree” and “strongly agree” are scored from 1 to 5 points, and the latter two items are scored in reverse. The total score of the scale ranges from 6 to 30. The higher the score, the greater the presenteeism due to health problems. Among which the total score ≥ 15 is classified as high presenteeism, and the total score < 15 is classified as low presenteeism [31]. The Cronbach’s α coefficient of the scale was 0.862. In this study, the overall Cronbach’s α coefficient of the SPS scale was 0.913.

Ethical considerations

The study was approved by Clinical Trial Ethics Committee, Affiliated Hospital of Southwest Medical University (Affiliated Hospital of Southwest Medical University)[KY2024303]. The principle of voluntary participation in the study and the confidentiality of the data were made clear to all participants, after obtaining permission from all participating hospitals. In addition, obtaining written informed consent from each participant was strictly mandatory.

Data collection

Based on http://​www.​wjx.​cn, a commonly used free online survey tool in China, this study constructed survey links and two-dimensional codes. From June to July 2024, the extensive dissemination and efficient collection of online data were successfully carried out. Before the formal survey, a pre-survey was conducted among 15 anesthesia nurses, and the content of the questionnaire was adjusted and improved through their feedback. In order to ensure the authenticity of the questionnaire and the validity of the data, reverse verification questions were incorporated into the questionnaire, and mandatory answers were set for each question. At the same time, the IP address unique answer strategy was implemented to effectively prevent duplication and omission. To ensure the quality of the questionnaire, a response time standard of at least 5 min was set, and the completion time was critically reviewed by the research staff to ensure that the collected data had sufficient truth and reference value. Finally, 585 questionnaires were successfully collected, 17 questionnaires that did not meet the criteria were excluded, and 568 valid questionnaires were retained, with an effective response rate of 97%.

Data analysis

The qualified questionnaires were derived from the Questionnaire Star ( http://​www.​wjx.​cn) and the obtained data were formed into Excel table. The categorical variables of general demographic data were assigned and entered. The demographic characteristics of anesthesia nurses were described by frequency (n) and constituent ratio (%). The total scores and scores of each dimension of PCQ, MBI and SPS of anesthesia nurses were described by mean ± standard deviation after normal distribution test. Pearson correlation analysis was used to reveal the relationship between psychological capital, job burnout and presenteeism of anesthesia nurses. Amos26.0 software was used to construct the structural equation model, and Bootstrap method was used to test the model. The test level α = 0.05.

Results

Participant characteristics

A total of 92.3% female nurses participated in the study. Among them, 74.6% were married, and 53.9% nurses aged 30–40 years. In addition, most of them with bachelor degree(81%). The majority of the participants worked as clinical nurses(91.2%) and predominantly earned between 5,000 and 10,000 RMB a month(63.7%). The general demographic data of nurse anesthetists was shown in Table 1.
Table 1
General demographic data of nurse anesthetists (n = 568)
Variable
n
%
 
Gender
   
Male
44
7.7
 
Female
524
92.3
 
Age(years)
   
<30
156
27.5
 
30–40
306
53.9
 
>40
106
18.7
 
Educational level
   
Associate degree
94
16.5
 
Bachelor degree
460
81
 
Master degree and higher
14
2.5
 
Marital status
   
Single
120
21.1
 
Married
424
74.6
 
Other
24
4.2
 
Number of children
   
0
156
27.5
 
1
278
48.9
 
2
128
22.5
 
>2
6
1.1
 
Mode of appointment
   
Contract nurses
424
74.6
 
Permanent public hospital nurses
132
23.2
 
Other
12
2.1
 
Professional qualification
   
Nurse
72
12.7
 
Senior nurse
324
57
 
Nurse in charge
128
22.5
 
Deputy chief nurse and above
44
7.7
 
Length of professional service (years)
   
≤ 5
80
14.1
 
5–10
214
37.7
 
≥ 10
274
48.2
 
Job category
   
Clinical nurse
518
91.2
 
Care Managers
50
8.8
 
Hospital level
   
Grade III Level A hospitals
372
65.5
 
Grade III Level B hospitals
156
27.5
 
Grade II Level A hospitals
10
1.8
 
Grade III Level B hospitals
16
2.8
 
Other
14
2.5
 
Number of night shifts per month(times)
   
0
218
38.4
 
1–5
256
45.1
 
5–10
74
13
 
≥ 10
20
3.5
 
Average daily sleep time(hours)
   
≤ 6
88
15.5
 
6–8
460
81
 
≥ 8
20
3.5
 
Monthly income(RMB)
   
≤ 5000
138
24.3
 
5000–10,000
362
63.7
 
10,000–15,000
62
10.9
 
≥ 15,000
6
1.1
 
Self-rated health
   
healthy
236
41.5
 
Sub-health
294
51.8
 
Have a chronic medical condition
38
6.7
 

The scores of psychological capital, job burnout and presenteeism of anesthesia nurses were compared

The total SPS score of anesthesia nurses was 18.96 ± 4.79. The total score of PCQ was 93.31 ± 14.33, with the highest score of self-efficacy (4.77 ± 0.89) and the lowest score of resilience (4.61 ± 0.94). The total score of MBI was 56.35 ± 17.68, with the highest score of depersonalization (3.01 ± 0.98) and the lowest score of emotional exhaustion (1.95 ± 0.84). The score of psychological capital, job burnout and presenteeism of anesthesia nurses was shown in Table 2.
Table 2
Scores of psychological capital, job burnout and presenteeism of anesthesia nurses (n = 568)
Variables
Score
(Mean ± SD)
Item score
(Mean ± SD)
Self-efficacy
28.59 ± 5.34
4.76 ± 0.89
Hope
27.71 ± 5.51
4.62 ± 0.92
Resilience
23.08 ± 4.69
4.61 ± 0.94
Optimism
13.93 ± 2.96
4.64 ± 0.99
PCQ
93.31 ± 14.33
4.66 ± 0.72
Emotional exhaustion
17.53 ± 7.57
1.95 ± 0.84
Personal accomplishment
23.76 ± 10.35
2.97 ± 1.29
Depersonalization
15.06 ± 4.91
3.01 ± 0.98
MBI
56.35 ± 17.67
2.56 ± 0.80
SPS
18.96 ± 4.79
3.16 ± 0.80

Correlation analysis of job burnout, psychological capital and presenteeism of anesthesia nurses

Burnout of anesthesia nurses was significantly negatively correlated with psychological capital (r=-0.558, P < 0.01), and was significantly positively correlated with presenteeism (r = 0.465, P < 0.01). Psychological capital was significantly negatively correlated with presenteeism (r=-0.495, P < 0.01). The correlations among psychological capital, job burnout, and presenteeism was shown in Table 3.
Table 3
Correlations among psychological capital, job burnout, and presenteeism
Correlations
1
2
3
4
5
6
7
8
9
10
1. Self-efficacy
1
         
2. Hope
0.460**
1
        
3. Resilience
0.407**
0.449**
1
       
4. Optimism
0.562**
0.394**
0.520**
1
      
5. PCQ
0.799**
0.784**
0.759**
0.738**
1
     
6. Emotional exhaustion
− 0.279**
− 0.205**
− 0.309**
− 0.261**
− 0.338**
1
    
7. Personal accomplishment
− 0.410**
− 0.411**
− 0.469**
− 0.447**
− 0.557**
0.358**
1
   
8. Depersonalization
− 0.190**
− 0.319**
− 0.211**
− 0.258**
− 0.316**
0.435**
0.347**
1
  
9. MBI
− 0.413**
− 0.417**
− 0.466**
− 0.445**
− 0.558**
0.759**
0.835**
0.668**
1
 
10. SPS
− 0.364**
− 0.350**
− 0.428**
− 0.411**
− 0.495**
0.361**
0.385**
0.305**
0.465**
1
Note:* : P < 0.05; ** : P < 0.01

Testing the hypothesized model

To determine the links between these factors, a path analysis was performed, including the construction of a mediation model and parameter estimation. AMOS 26.0 was used to construct a SEM model, with MBI as the independent variable, SPS as the dependent variable, and PCQ as the mediating variable, to evaluate the indirect and direct effects among variables. The collected observation data were in alignment with the structural model, as illustrated in Fig. 1. The model was evaluated using the maximum likelihood method and the model fit results are shown, χ2/ df = 2.599, NFI = 0.957, IFI = 0.973, GFI = 0.973, RFI = 0.946, AGFI = 0.942, RMSEA = 0.053. The bias-corrected Bootstrap method was used to test the mediating effect model, and the sample was repeated 2000 times to test the significance of the mediating effect, and the 95% confidence interval was calculated. Table 4 results show that all path coefficients do not include 0 and Z > 1.96 in the bootstrap 95% CI. Thus, PCQ can modulate the effect of MBI on SPS of anesthesia nurses. PCQ partially mediated the relationship between MBI and SPS.
Table 4
Bootstrap test of the mediating effect of psychological capital
items
Structural paths
Standardized effect
Standard error
z
p -value
Bootstrap 95% CI
Gross effect
MBI→SPS
0.579
0.108
5.361
0.001
(0.559,0.969)
Direct effectt
MBI→SPS
0.300
0.135
2.222
0.017
(0.084,0.821)
Indirect effect
MBI→PCQ→SPS
0.279
0.141
1.979
0.018
(0.1,0.666)

Direct and indirect effects

After analysis, there was a significant correlation between MBI, PCQ and SPS. In this study, the total effect was decomposed into direct and indirect effects. As shown in Table 4; Fig. 1, MBI was negatively correlated with PCQ (ρ=-0.795,P < 0.01), and PCQ was negatively correlated with SPS (ρ=-0.351,P < 0.01). PCQ, as a mediating variable, revealed an indirect positive correlation between MBI and SPS (ρ = 0.300, P < 0.01). Results Evidence indicated that PCQ had a significant mediating effect between MBI and SPS in anesthesia nurses. This hypothesis was further verified by revealing the mediating effect of PCQ between MBI and SPS.

Discussion

The purpose of this study was to explore the relationship between job burnout and presenteeism in anesthesia nurses, and to explore the mediating role of psychological capital. The finding that job burnout had a positive impact on presenteeism was consistent with previous studies [6]. This empirical study also found that psychological capital mediates between job burnout and presenteeism, suggesting that psychological capital may play a protective role in alleviating the negative effect of job burnout on presenteeism. These findings have important implications for the well-being and productivity of anesthesia nurses, and measures need to be taken to improve psychological capital and reduce job burnout in this population.
In the present study, the total score of SPS was 18.96 (SD = 4.96), which was higher than the score in the study by Ren [32]. This difference may be attributed to the broad sample of our study, including a more diverse group of anesthesia nurses, who work in hospitals with high levels of daily work intensity and stress. This high-intensity work environment is likely to lead to a high rate of presences, which in turn affects the performance of presences. In 2018, the National Health Commission of the People’s Republic of China issued the Notice on the issuance of Opinions on strengthening and improving anesthesia medical services [33]. The introduction of the document has made the development of anesthesia nursing in China onto a new stage, and anesthesia nurses have become the right hand of anesthesiologists. Due to the particularity of the work in the department of anesthesiology, such as heavy work intensity, heavy responsibility, and complex interpersonal relationship, anesthesia nurses are more prone to recessive absence [34, 35]. In recent years, the work pressure of anesthesia nurses has increased, and the problem of presenteeism has become increasingly prominent. Hospitals and nursing managers should attach great importance to it. To address this, healthcare institutions could establish comprehensive wellness programs that include physical and mental health screenings, counseling services, and fitness activities. These programs can help nurses identify and manage their health issues, thereby reducing presenteeism and improving overall job performance.
In terms of psychological capital, the score was 93.31 (SD = 14.33). Consistent with the results of previous studies [3638], this indicates that the psychological capital of anesthesia nurses is in a good state, which may be due to their relatively simple and orderly working environment, and under the professional guidance of anesthesiologists, they can actively and efficiently devote themselves to nursing work, so as to promote their positive and stable psychological state. The results of this study show that the score of self-efficacy dimension is the highest. The analysis showed that the subjects were mainly anesthesia nurses in from class iii grade A general hospitals. They have stronger skills, higher education, greater confidence, and exhibit higher self-efficacy [39]. The scores of other dimensions (hope, resilience and optimism) were at the same level, which indicated that nurses in anesthesia had a relatively positive attitude towards working status and future development, and had a relatively strong resilience to setbacks and pressures. Perhaps because nurse anesthesiologists play a crucial role during surgery and are responsible for ensuring the patient’s vital signs are stable, this professional nature makes their job more challenging and important [40]. At the same time, there is a close relationship between national policy and psychological capital of anesthesia nurses [33]. The relevant policies issued by China can significantly boost anesthesia nurses’ psychological capital through reasonable HR allocation, career paths, mental health focus, and job satisfaction improvements [41]. Therefore, nursing managers and medical institutions should improve the psychological capital of nurses by providing learning and training opportunities, paying attention to the training of anesthesia specialist nurses, creating a positive working environment, and providing mental health support.
The total score of MBI of anesthesia nurses in this study was 56.35 (SD = 17.67), had a higher level of job burnout than those in the previous study [42, 43]. The reason may be that anesthesia nurses work in the closed operating room, the equipment is noisy, and they have to deal with emergencies such as the mutation of vital signs of patients. High-pressure work is easy to cause physical and mental fatigue. With medical technology advancing, anesthesia knowledge and skills are continually updated, requiring nurses to continuously learn for complex clinical situations [44, 45]. This increases workload and academic pressure, tests adaptability, and raises the risk of burnout. This study showed that the low score of emotional exhaustion dimension may be attributed to a safe, comfortable work environment, adequate protection, and support, easing nurse pressure and emotional resource consumption [46]. Nearly half (43.8%) of the nurse anesthetists showed moderate to high depersonalization, which showed that they kept a certain distance from their surroundings at work, tended to be indifferent, and were more inclined to process operations rather than enthusiasm when performing tasks. A minority (18.5%) had a high level of personal fulfillment, which revealed a general trend in the nursing workforce, that is, the majority of members may tend to negative self-evaluation and have a certain degree of skepticism about the meaning and value of their work. Therefore, it is recommended that nursing managers reduce the workload of nurses, improve job satisfaction, and promote a healthy work-life balance. This may include providing adequate staffing, offering flexible work arrangements, and encouraging teamwork. Meanwhile, it is necessary to deepen the awareness of the importance of anesthesia nurses’ occupation and significantly improve their respect for their occupation through active publicity and education activities.
The results of correlation analysis showed a positive correlation between burnout and presenteeism in anesthesia nurses, supporting previous studies [47]. With the deepening of anesthesia job burnout, the negative emotions encountered by anesthesia nurses in the work are more and more significant, which leads to the decline of work efficiency and the decline of nursing quality, and then catalyzes the breeding of recessive absence [14]. It’s noteworthy that, despite limited exploration in past literature, psychological capital significantly impacts anesthesia nurses’ preseneeism. High-level psychological capital nurses exhibit greater work enthusiasm, commitment, stress resilience, and effective challenge handling [48]. This positive attitude boosts nurses’ health, strengthens professional identity, reduces burnout-related inaction, and controls recessive absence rate. By establishing a positive organizational culture, providing personalized psychological support, reasonably arranging workload, and strengthening communication and feedback, managers can effectively improve the level of psychological capital of anesthesia nurses, reduce the risk of recessive absence, so as to improve work efficiency and service quality.
The results of this study showed that job burnout and psychological capital were independent predictors of presenteeism. The results of path analysis showed that the indirect effect of job burnout of anesthesia nurses on preseneeism through psychological capital was 0.279, and the total effect size was 0.579, accounting for nearly half of the total effect (48.18%). This clearly reveals that job burnout is not only directly related to the phenomenon of recessive absence of nurses, but also indirectly through the mediating effect of psychological capital. This finding provides a clearer direction for hospital administrators to develop management strategies to alleviate nurses’ job burnout. Job burnout, a major haze in the field of nursing well-being, is often accompanied by mental health problems such as anxiety and depression [49]. To mitigate the impact of this phenomenon on the nursing team, health care institutions should focus on enhancing the psychological capital of nurses. As the core psychological factors, psychological capital is constructed from self-efficacy, hope, resilience and optimism [25]. Individuals with high levels of psychological capital exhibit a range of positive traits: confidence in the face of work challenges, pursuit of goals with hope, flexibility in adapting strategies to change, resilience in the face of adversity, and optimism in looking to the future [50]. Psychological capital acts as a mediator between burnout and presenteeism, influencing their relationship through complex processes. The mechanism can be summarized as: (1) Perception regulation: facing burnout triggers like workload or lack of achievement, hope, and optimism adjust how nurses see these negatives. By staying positive, nurses can lighten the burnout load and mitigate presenteeism [51]. (2) Self-efficacy boost: self-confidence and coping skills, bolstered by psychological capital, empower nurses to face burnout with proactive strategies-seeking help, altering work habits, or exploring new career paths. These strategies ease burnout and diminish presenteeism risks [52]. (3) Resilience fortification: resilience, a psychological capital element, fosters grit in adversity. It sharpens nurses’ ability to bounce back from burnout, rejuvenating work passion and steering clear of recessive presenteeism [53].
By constructing a rigorous structural equation model, this study further verified the importance and validity of psychological capital as a mediating variable. Especially in the medical field, when nurses face a similar degree of job burnout, individuals with high psychological capital can quickly adjust their self-state and effectively reduce the phenomenon of presences, highlighting their unique value in maintaining occupational health and improving work efficiency.
In summary, this study reveals links between burnout, psychological capital, and presenteeism, guiding future research. For anesthesia nurses, alleviating burnout and boosting psychological capital are crucial for individual well-being and efficient team building. Managers can tailor strategies to enhance team structure and occupational well-being, improving medical service quality.

Limitations

This study had several limitations. Firstly, since the vast majority of female participants (92.3%) in this study, the conclusions may not be fully applicable to male anesthesia nurses. More men should be included in future studies. Second, due to the use of non-random/non-probability sampling and the limited sample area, caution should be used when generalizing the findings to the whole country. Future studies with larger scale and random sampling are recommended. Finally, the cross-sectional design limits inference of causality. In particular, the specific impact of job burnout on presenteeism has not been in-depth. In the future, longitudinal research can be conducted to further explore and put forward effective strategies to reduce job burnout and improve the psychological capital of anesthesia nurses.

Conclusions

This study found that there was a direct positive correlation between job burnout and presences of anesthesia nurses, and psychological capital mediated the positive effect of job burnout on presences to a certain extent. The significant mediating effect emphasizes the importance of psychological capital as a positive psychological state for anesthesia nurses to cope with work stress and maintain work enthusiasm and efficiency, because it improves nurses’ psychological resilience and reduces the recessive absence caused by job dissatisfaction or excessive pressure.

Acknowledgements

We thank our team, managers, and nurses from the Hospital.

Declarations

Written informed consent was obtained from all the participants prior to the enrollment (or for the publication) of this study. The study was approved by Clinical Trial Ethics Committee, Affiliated Hospital of Southwest Medical University (Affiliated Hospital of Southwest Medical University)[KY2024303].
Consent for publication was obtained from the participants. All authors approved the final manuscript and the submission to this journal.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc-nd/​4.​0/​.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
18.
Zurück zum Zitat Pranjić N, Mosorović N, Bećirović S, Sarajlić-Spahić S. Association between shift work and extended working hours with burnout and presenteeism among health care workers from Family Medicine centres. Med Glas (Zenica). 2023;20(2). https://doi.org/10.17392/1607-23. Pranjić N, Mosorović N, Bećirović S, Sarajlić-Spahić S. Association between shift work and extended working hours with burnout and presenteeism among health care workers from Family Medicine centres. Med Glas (Zenica). 2023;20(2). https://​doi.​org/​10.​17392/​1607-23.
Metadaten
Titel
Relationship between job burnout and presenteeism in anesthesia nurses: mediating effect of psychological capital
verfasst von
Jie Cheng
Xiaoli Xia
Mei Hong
Xue Lin
Daiying Zhang
Jianlan Ren
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2024
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-024-02526-3