Nurse burnout in Taiwan
Miaofen Y1*and Huan-Fang L1,2
1National Cheng Kung University, Department of Nursing, Taiwan
2Chung Hwa University of Medical Technology, Department of Nursing, Taiwan
*Corresponding author: Miaofen Y, Emory University, National Cheng Kung University, Department of Nursing, No.1, University Road, Tainan City 701, Taiwan Tel: +886-6-2353535; E-mail: eamonn0330@gmail.com
Received Date: 05 December, 2016; Accepted Date: 14 January, 2017; Published Date: 21 January, 2017
Citation: Miaofen Y, Fang LH (2017) Nurse burnout in Taiwan. J Nurs Women’s Health 2: 107. DOI: 10.29011/2577-1450.100007
Background
Burnout in the nursing profession was a global issue and it affected individual, organizational, and patient outcomes. However, cultural differences could affect the perception to burnout and the information about nurses’ Jovana Cvetković
burnout in Taiwan was still insufficient.
Purpose
The purpose of this study was to investigate the prevalence rate of burnout among Taiwanese nurses.
Methods
This was cross-sectional study. The three types of eligible hospitals in Taiwan were selected using proportional stratified random sampling within a geographic area was used to decide the hospital lists after excluded the total hospital beds under 100 and without surgical or medical ward. A total of 1896 nurses participated the study. The demographic variables and modified Maslach Burnout Inventory- Human Service Survey was sued to collect the data about nurses’ burnout. The prevalence and characteristics were explored using descriptive statistics, Chi-square, ANOVA methods.
Results
Eighty percent of the nurses reported more than moderate emotional exhaustion, 66% reported more than moderate depersonalization, 75% reported more than moderately reduced personal accomplishment, and around 79% of nurses reported above moderate burnout.
Conclusions
The level of burnout for nurses in Taiwan is high. Effective strategies were need to provide to decrease the nurse burnout.
Keywords: Nurse burnout, MBI-HSS, prevalence
Introduction
Burnout is a global problem for healthcare professionals, especially for nurses [1,2]. Research indicates that burnout affects both physical and psychological well-being [3], organizational perfomances [4,5,6], and patient outcomes [5]. According to Maslach (1982), Burnout, “to burn oneself out”, describe people experiencing a state similar to a battery that has been drained. Emotional exhaustion refers to people who overextend themselves and feel emotionally overwhelmed; Depersonalization refers to professional staff considering clients as objects and do not engage; Reduced personal accomplishment refers to people feel themselves are failures and inadequate in various work-related events [7]. Duffy et al. (2009) thought depersonalization as a mechanism to enable a person to cope with emotional exhaustion. If people’s coping fails, the individual will work ineffectively, personal accomplishment will decrease, and emotional exhaustion follows [8]. Maslach et al. (2001) indicated that exhaustion is the major component of burnout.
When nurses experienced the burnout, they will have the intention to leave and result in the nursing shortage problems [9,10]. Nearly 40% nurses did not work in nursing professional field and 89% hospital administrators reported that recruiting nurses was difficult and it was worse than other countries [11]. Maslach et al. (2001) indicated that levels of burnout were different in various countries. Schaufeli & Janczur (1994) said that staffs with similar characteristics in Europe undergo lower rates of exhaustion and depersonalization than do staffs in North America, and they suggested that different cultural values were a possible explanation for the different rates. They also indicated that in the other countries studied by [12], over 20% of the 25,000 staff members surveyed in North America and 28% of the non-Americans have burnout syndrome. However, the inference may be a limited case of non-random and unrepresentative sampling. Researchers find 34% in US [13], 30-44% in Europe [14,15], 36% in Japan [16], and 45% in China [11]. These results indicate the nurses’ burnout is critical and frequent. In Taiwan, the information about nurse burnout was still insufficient.
The purpose of this study was to investigate the prevalence rate of burnout among Taiwanese nurses.
Methods
This was a cross-sectional design. According to the Taiwan Joint Commission on Hospital Accreditation, there are 483 hospitals (19 medical centers, 77 regional hospitals, and 387 district hospitals) in Eastern, Western, Northern, Southern, and Central Taiwan. The exclusion criteria were: (1) total hospital beds under 100; (2) no surgical or medical units. Proportional stratified random sampling within a geographic area was used to decide the hospital lists, and 35 hospitals (4 medical centers, 9 regional hospitals, and 22 district hospitals) agreed to participate in the survey. Staff nurses (n = 1,896) from 117 surgical and medical units of the 35 hospitals were contacted and 1,846 (97%) completed the MBI-HSS modified by [2].
Ethical considerations of the study
The present study was approved by the National Cheng Kung University Institutional Review Board before we began to retrieve data. All hospital and study participant identifiers were stripped from the data.
Data collection
The demographic data were collected and the modified MBI-HSS in Taiwan was used to measure the burnout level. The factor structure of the Maslach Burnout Inventory for nurses in Taiwan was examined using exploratory factor analysis and confirmatory factor analysis [2]. The modified factor structure included three factors with 20 items. The three subscales of burnout include 8 items for EE, 8 opposite items for PA, and 4 items for DP. The subscale total scores for EE, PA, and DP are 48, 48, and 24, respectively. The indices of the model fit were GFI = 0.92, AGFI = 0.90, and RMSEA = 0.05. According to Lee et al. (2015), the level of burnout is low if EE is £ 21, DP is £ 6, PA is ³ 25, and total is £ 44. The level of burnout is moderate if EE is 22-32, DP is 7-12, PA is 16-24, and total is 45-62. The level of burnout is high if EE is ³ 33, DP is ³ 13, PA is £ 15, and ³63.
Data Analysis
The demographic data was described using samples and percentage, the categorical variables were compared using Chi-square, ANOVA, and continuous variables were examined the correlation using Pearson’s correlation method. According to the levels of burnout, the prevalence was calculated. Data were analyzed using SPSS 17 for Windows (SPSS/IBM Inc., Chicago, IL, USA) and Microsoft Excel function.
Results
The sample of 1,846 nurses was obtained from the database. The mean age of the participants was 29.1± 5.3 years, more than 99% of gender (n = 1,814) were female, more than 74.7% of marital status (n = 1372) were unmarried, 51.3% of education (n = 939) were under college, 60.7% of nurse competence were under N1 (refers to novice and advanced beginner) and (Table 1).
Table 2 was the comparison of characteristics on three subscales. On EE dimension, marital status, nurse competence, and hospital seniority were different significantly. Married nurses whose scores on EE were higher than unmarried (p < .001); The nurse competence on N2 (refers to competent) and above N3 (refers to proficient and expert) reported higher emotion exhaustion than under N1 (refers to novice and advanced beginner) (p < .001); The nurses with above 5 years was the highest scores (p < .001). On DP and PA dimension, there was no different significantly among demographic categories. On the total scale (Burnout), only nurse competence was different significantly, N2 and above N3 nurses experienced burnout more than under N1 (p < .001).
Most nurses reported moderate levels on the three subscales and total scale. Eighty percent of the nurses reported more than moderate emotional exhaustion, around 67% reported more than moderate depersonalization, and 75% reported more than moderately reduced personal accomplishment, and around 79% of nurses reported above moderate burnout (Table 3).
Discussion
The current study conducted a national survey to explore prevalence of burnout among Taiwanese nurses using proportional stratified random sampling. Among 1846 Taiwanese nurses worked at surgical and medical wards reported that they experienced above moderate burnout. Married, better nursing competence, and senior nurses reported higher emotional exhaustion.
Working places affected the status of burnout [17]. However, the highest percentage of nurses in hospitals working place were medical and surgical wards, but few studies have explored the level of burnout among nurses working in these units. Aiken et al. (2002) found that nurses who work at general wards have a high level of burnout because of a high patient-to-nurse ratio, a high failure-to-rescue rate, and a high mortality because of complications. We compared the prevalence of burnout status with previous studies [17,18] in Taiwan. Hsieh et al. (2004) explored 147 psychiatric nurses worked at regional hospitals in north Taiwan, they found above moderate emotional exhaustion, depersonalization, and low personal accomplishment were 77%, 43%, and 62%, respectively. Hsieh et al. (2008) also explored 253 primary nurses and nurse managers worked at 2 teaching hospitals in north Taiwan, they found above moderate emotional exhaustion, depersonalization, and low personal accomplishment were 87%, 60%, and 61%, respectively. Therefore, the prevalence rate of nurse burnout in Taiwan was high, no matter the specific or general professionals. The status of burnout in the current study was higher than abroad researches [11,13,14,16].
Married nurses experienced more emotional exhaustion in the current study. Emotional exhaustion is higher in married than in unmarried nurses in previous studies [19,20]. Lin et al. (2009) hypothesized that this is because married nurses must pay attention to their job while also caring for their family, and especially for their children. In Taiwan, married women usually live with their parents-in-law, so they are concerned not only about their children, but also about their parents-in-law and their family of origin.
Usually junior nurses were less nursing competence and according to Taiwan nursing competence regulation, the nursing competence upgrade has to consider the working years. In the current study, nurses with higher nursing competence and more hospital senior had higher emotional exhaustion than who with lower nursing competence and more hospital senior. Iglesias, Vallejo, and Fuentes (2010) found that nurses who had worked less than 10 years had a lower state of emotional exhaustion than did those who had worked for more than 10 years. Wang, Kang, and Wu (2010) pointed out that nurses who had worked between 10 and 20 years were usually in key positions on the team, and, therefore, were vulnerable to occupational stress, as well as to stress from family life, such as having adolescent children or elderly care. It would be a crisis to nursing if the senior nurses with good nursing competence suffered from burnout, they might leave the professions.
The other reasons that the burnout status were higher in our study for Taiwanese nurses than for workers surveyed in other studies is, perhaps, that the benefits policies different among countries. The Taiwan National Union of Nurses’ Associations (2013) reported that the patient-to-nurse ratio on three shifts in Taiwan was 2-3 times less favorable than in the US, Australia, and other Asian countries; that the average workday was usually more than 10 hours in Taiwan but only about 8 hours in the US, Australia, and other Asian countries; and that 4-5 hours of overtime was common in Taiwan but not elsewhere [21]. Taiwan Nurse Rights Promotion Association (2006) surveyed Taiwanese nurses about suffering index on job such as nurse staffing shortage, hierarchical management and so on. Therefore, an unfriendly working environment and an unclear benefits policy also contribute to why Taiwanese nurses feel burnout.
Conclusion
The prevalence rate of burnout is high among Taiwanese nurses especial in senior nurses group. The administrators should provide effective strategies to decrease nurses’ burnout.
Acknowledgments
This study was funded by grant DOH099-TD-M-113-97025 from the Taiwan Department of Health, Executive Yuan.
|
Total |
|
Characteristics |
n |
% |
Type of Hospital |
|
|
Medical center |
624 |
33.8 |
Regional |
548 |
29.7 |
District |
674 |
36.5 |
Gender |
|
|
Male |
8 |
0.4 |
Female |
1814 |
99.6 |
Marital status |
|
|
Unmarried |
1372 |
74.7 |
Married |
447 |
24.3 |
Others |
18 |
1 |
Education |
|
|
Under College |
939 |
51.3 |
Above University |
891 |
48.7 |
Nurse competence |
|
|
Under N1 |
1078 |
60.7 |
N2 |
512 |
28.8 |
Above N3 |
186 |
10.5 |
Hospital seniority |
|
|
raey £ |
652 |
35.5 |
2-5 years |
633 |
34.5 |
>5 years |
550 |
30 |
|
Emotional exhaustion |
Depersonalization |
|
Reduced personal accomplishment |
Burnout |
|||||||||||
|
Mean |
SD |
p |
Mean |
SD |
p |
Post Hoc |
Mean |
SD |
p |
Post Hoc |
Mean |
SD |
p |
Post Hoc |
|
Type of Hospitals |
|
|
0.33 |
|
|
0.99 |
|
|
|
0.07 |
|
|
|
0.42 |
|
|
1Medical center |
29 |
8.4 |
|
7.3 |
4 |
|
|
19.2 |
7 |
|
|
55.5 |
13.5 |
|
|
|
2Regional |
28.3 |
8.3 |
|
7.3 |
3.6 |
|
|
19.8 |
7.7 |
|
|
55.3 |
13.2 |
|
|
|
3District |
28.5 |
9 |
|
7.3 |
4 |
|
|
18.8 |
7.5 |
|
|
54.5 |
14.5 |
|
|
|
Gender |
|
|
0.88 |
|
|
0.3 |
|
|
|
0.5 |
|
|
|
0.77 |
|
|
Male |
29 |
10.4 |
|
10 |
6.9 |
|
|
17.5 |
6.8 |
|
|
56.5 |
13.8 |
|
|
|
Female |
28.6 |
8.6 |
|
7.3 |
3.9 |
|
|
19.3 |
7.4 |
|
|
55.1 |
13.8 |
|
|
|
Marital status |
|
|
< .001 |
|
|
0.99 |
|
|
|
0.14 |
|
|
|
0.25 |
|
|
1Unmarried |
28.1 |
8.5 |
|
7.3 |
3.9 |
|
|
19.4 |
7.5 |
|
|
54.8 |
13.7 |
|
|
|
2Married |
30 |
8.7 |
|
7.3 |
3.9 |
|
|
18.8 |
7.1 |
|
|
56 |
14.1 |
|
|
|
3Others |
30.6 |
10.4 |
|
7.1 |
3.4 |
|
|
17 |
5.1 |
|
|
54.7 |
14.1 |
|
|
|
Education |
|
|
0.32 |
|
|
0.4 |
|
|
|
0.77 |
|
|
|
0.48 |
|
|
Under College |
28.4 |
8.8 |
|
7.2 |
3.8 |
|
|
19.3 |
7.4 |
|
|
54.8 |
13.9 |
|
|
|
Above University |
28.8 |
8.5 |
|
7.3 |
4 |
|
|
19.2 |
7.3 |
|
|
55.3 |
13.8 |
|
|
|
Nursing competence |
|
|
< .001 |
|
|
0.38 |
|
|
|
0.89 |
|
|
|
< .001 |
2>1 |
|
|
||||||||||||||||
3>1 |
||||||||||||||||
1Under N1 |
27.7 |
8.7 |
|
7.2 |
4 |
|
|
19.3 |
7.5 |
|
|
54.1 |
13.9 |
|
|
|
2N2 |
29.7 |
8.2 |
|
7.4 |
3.7 |
|
|
19.1 |
7.1 |
|
|
56.1 |
13.3 |
|
|
|
3Above N3 |
30.7 |
8.7 |
|
7.5 |
3.9 |
|
|
19.1 |
7.1 |
|
|
57.3 |
13.3 |
|
|
|
Hospital seniority |
|
|
< .001 |
|
|
0.38 |
|
|
|
0.42 |
|
|
|
0.07 |
|
|
1≦2 years |
27.5 |
8.6 |
|
7.2 |
4.1 |
|
|
19.5 |
7.8 |
|
|
54.2 |
14.1 |
|
|
|
22-5 years |
28.5 |
8.7 |
|
7.4 |
3.9 |
|
|
19.2 |
7.3 |
|
|
55.2 |
14 |
|
|
|
3>5 years |
29.9 |
8.5 |
|
7.2 |
3.7 |
|
|
19 |
7 |
|
|
56 |
13.4 |
|
|
|
Note: Reduced personal accomplishment scores were inversed, and a higher score means a higher level of burnout.
Table 2: Scores comparison of the characteristics on emotional exhaustion, depersonalization and personal accomplishment dimensions
Low |
Moderate |
High |
||||
N |
% |
N |
% |
N |
% |
|
Emotional exhaustion |
364 |
20 |
916 |
50.4 |
537 |
29.6 |
Depersonalization |
606 |
33.3 |
922 |
50.7 |
291 |
16 |
Reduced personal accomplishment |
446 |
24.9 |
1033 |
57.6 |
314 |
17.5 |
Burnout |
385 |
20.9 |
900 |
48.8 |
560 |
30.4 |
Table 3: Prevalence rate of burnout among Taiwanese nurses (n = 1846)
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