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International Journal of Healthcare and Medical Sciences
ISSN(e): 2414-2999, ISSN(p): 2415-5233
Vol. 4, Issue. 6, pp: 105-110, 2018
URL: http://arpgweb.com/?ic=journal&journal=13&info=aims
Academic Research Publishing
Group
*First co-author
**Corresponding author
105
Original Research Open Access
Relationship Between Work Stress, Workload, and Quality of Life Among
Rehabilitation Professionals
Yu-Li Lan
Department of Health Administration, Tzu Chi University of Science and Technology, Taiwan
Yi-Ching Lin*
Department of Rehabilitation, Taiwan Adventist Hospital, Taiwan
Yu-Hua Yan**
Superintendent office, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan
Yu-Ping Tang
Department of Rehabilitation, Taiwan Adventist Hospital, Taiwan
Abstract
Background: This study explored the relationship between work stress, workload, and quality of life (QOL) among
rehabilitation professionals. Methods: This study applied a cross-sectional design. A questionnaire was distributed
to rehabilitation professionals—comprising physicians in the rehabilitation department, occupational therapists,
physical therapists, speech-language pathologists, and audiologists—working in teaching hospitals. A total of 152
valid responses were collected, yielding a valid response rate of 93.8%. Results: For female respondents, factors
affecting the QOL were educational level, type of professional license, length of service, average leisure hours per
week, expense on leisure per week, work stress, and workload (all p < .01). For male respondents, no factor reached
statistical significance (p > .001). Conclusion: This study provides the following suggestions to hospital
administrators: establishing a stress-relief helpline, evaluating employees’ workload, regularly arranging stress
management training courses, implementing employee health promotion programs, and promoting proactive
strategies to improve employee physical and mental health.
Keywords: Work stress; Workload, Quality of life.
CC BY: Creative Commons Attribution License 4.0
1. Introduction
Taiwan is currently an aged society, where health professionals play a crucial role in maintaining people’s
independence in daily living activities. Medical institutions should collaborate to implement strategies for creating
healthy work environments, which can in turn improve the quality of life (QOL) and service efficiency of health
professionals, thus benefiting patients, health professionals, and medical institutions [1]. In addition to ensuring
high-quality services, medical institutions are also subjected to various hospital evaluations and accreditations as
well as the various regulations of the government’s health insurance system. The heavy workload in medical
institutions increases employees’ workplace fatigue and engenders problems of work overload. High work stress
predisposes employees to fatigue, and heavy workloads cause work stress and frustration, which are also the main
reason for high turnover rates [2]. Work stress is a conceptual process that implicates individuals’ perceptions and
reactions to stimulation such as danger or threats [3]. Desa, et al. [4] argued that an appropriate amount of stress can
increase people’s focus and preserve their enthusiasm toward their work, enabling them to handle work challenges.
Lin, et al. [5] found that the gender of hospital employees also affects their perception of workplace fatigue and
work stress.
The term ―workload‖ started to receive attention in 1970 by mainly reflecting on the scientific management
methods prevailing in the 1930s. Workload is also often mentioned in the fields of psychology, praxeology, and
nursing. In Work Overload, Frank Gryna [6] mentions that work overload refers to when the resources and
capabilities required are no longer adequate to meet the job requirements. Work overload includes the requirement of
working for long hours, working overtime, failing to achieve company goals with limited resources and time, having
limited time off, and working ―off the clock,‖ all of which prevent employees from focusing on a single task.
Overtime and work overload cause physical illness and a reduction in the number of working days and poor working
conditions. Numerous scholars have provided various explanations and definitions for work overload: Work
overload can be divided into quality and quantity dimensions. The quantity dimension describes whether the amount
of work imposed on employees is excessive, whereas the quality dimension describes whether employees can
effectively complete work tasks, or the relationship between work requirement and capacity. Work overload is the
primary factor causing work fatigue for human service workers [7, 8], and it reduces QOL [9]
The concept of QOL can be traced back to Aristotle. He viewed life based on happiness and considered that
happiness is a blessing from God. Happiness refers to positive spiritual activities and satisfaction of the soul.
International Journal of Healthcare and Medical Sciences
106
Accordingly, happy people can live well and handle life smoothly. With advancements in science, people expect to
have a high QOL in addition to satisfying their basic living needs. The term ―quality of life‖ emerged after World
War II and was formally proposed by Campbell, et al. [10]. They considered that personal satisfaction includes
different aspects of life such as marriage, family life, friendship, living standards, finance, and religion.
In 1995, the World Health Organization defined QOL as ―individual’s perception of their position in life in the
context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and
concerns. It is a broad ranging concept affected complexly by the person’s physical health, psychological state,
personal beliefs, social relationships and their relationship to salient features of their environment‖ [11]. QOL is a
subjective experience of an individual’s environment and a multilevel conceptual need. If a person considers that he
or she has reached a state of physical, psychological, and social comfort, he or she has a high QOL [12]. Cheng, et
al. [13] found that the overall workload imposed on social workers in regional hospitals is high. Such workers are
highly exhausted both physically and mentally, nervous, and subjected to time pressure. Moreover, they are required
to concentrate on decision-making in their work environments, which is the primary source of workload perception.
Chen, et al. [14] reported that physicians are more likely to have ischemic heart disease within 10 years compared
with other practitioners. Physicians should be encouraged to practice behavioral patterns of health promotion and set
an example for patients regarding self-care and avoid high-risk work environments. According to the literature, QOL
is a multilevel conceptual experience. In addition to physiological, psychological, and social aspects, environmental
factors should be considered in the analysis of QOL.
Because of the changes in the medical labor market, the types and effects of work stressors are expected to vary.
On the basis of the principles of occupational health psychology, topics relevant to the working conditions of
rehabilitation professionals require more attention. The turnover and retention rates of rehabilitation professionals
have been the primary management concerns in rehabilitation departments of hospitals. Therefore, the objective of
this study was to explore the relationship between work stress, workload, and QOL among rehabilitation
professionals.
2. Methods and Materials
A. Research Design and Participants
This study applied a cross-sectional design. Rehabilitation professionals working in a teaching hospital were
included in this study; the professionals comprised physicians in the rehabilitation department, occupational
therapists, physical therapists, speech-language pathologists, and audiologists. The inclusion criteria were as follows:
respondents should (1) serve in teaching hospitals (including district teaching hospitals, regional teaching hospitals,
and medical centers); (2) passed the national examinations of rehabilitation professionals; and (3) agree to sign the
informed consent form. A structured questionnaire was used for collecting data. The questionnaire was designed on
the basis of the domestic and foreign literature and finalized after validity verification by hospital business managers
and experts. A total of 162 copies of the questionnaire were distributed from July 1 to August 30, 2017. After the
returned copies were assessed for validity, 10 were eliminated because of their incompleteness and skeptical
response patterns (e.g., same response for all items). A total of 152 valid samples were collected, yielding a valid
response rate of 93.8%. The research design was reviewed and approved by the Institutional Review Board of
Taiwan Adventist Hospital (105-E-21).
B. Research Instruments and Reliability and Validity Testing
The self-developed questionnaire was used to collect various data, including respondents’ demographics, scales
of work stress, workload, and QOL. The questionnaire items were rated on a 5-point Likert scale (5 = strongly agree;
4 = agree; 3 = neutral; 2 = disagree; and 1 = strongly disagree). Regarding data collection, each dimensions, the
number of items, and the corresponding Cronbach’s alpha are outlined as follows: work stress, 10 items, Cronbach’s
alpha coefficient = 0.866; workload, 6 items, Cronbach’s alpha coefficient = 0.786; and QOL, 10 items, Cronbach’s
alpha coefficient = 0.868. The Cronbach’s alpha for overall reliability was 0.854; thus, the empirical data of this
study were determined to have a certain degree of reliability (Table 1).
C. Statistical Analysis
Data archiving and analysis were conducted using SPSS for Windows version 18.0; significance was set at
p<.05. Descriptive statistics were used to examine and screen the data to eliminate false data before statistical
analysis. For inferential statistics, a regression analysis was conducted to explore the relationship between work
stress, workload, and QOL.
3. Results
A. Sample Characteristics
Among the respondents who provided valid responses, 58 (38.2%) were men and 94 (61.8%) were women.
Regarding age, most respondents were aged 20–34 years (n = 86, 56%), followed by those aged 35–49 years (n = 62,
40.8%), and those aged older than 50 years (n = 4, 2.6%). Concerning marital status, most respondents were single
(n = 87, 57.2%) followed by those who were married (n = 59, 38.8%). For the highest educational level, most
respondents had a bachelor’s degree (n = 123, 80.9%). Concerning the medical institution level, most respondents
worked in regional hospitals (n = 64, 42.1%), followed by district hospitals (n = 57, 37.5%). Regarding the type of
professional license, most respondents were physical therapists (n = 95, 62.5%), followed by occupational therapists
International Journal of Healthcare and Medical Sciences
107
(n = 37, 24.3%). For the length of service, most respondents had a service length of 1–10 years (n = 107, 70.4%).
Regarding average leisure time and expense per week, most respondents spent less than 10 hours on leisure (n = 55,
36.2%) and spent less than NT$2,000 on leisure (n = 52, 34.2%). The p values obtained for the aforementioned
factors through a Chi-square test were as follows: age, p =.822; marital status, p = .826; educational level, p < .01;
medical institution level, p =.267; type of professional license, p = .236; length of service, p = .162; average leisure
time per week, p =.773; and average expense on leisure per week, p = .873 (Table 2).
B. Analysis of Work Stress, Workload, and QOL
This study also compared the relationship between work stress, workload, and QOL. Collinearity may be
present in a regression analysis of control variables and independent variables; thus, collinearity was explored first
by calculating the variance inflation factor (<10) and condition index (<10). For the male and female respondents,
the F-statistics obtained after a regression on QOL were as follows: F = 1.180 (p = .330) and F = 2.859 (p < .001),
respectively (Table 3). According to the regression model in Table 3, for the female respondents, factors influencing
QOL were educational level, type of professional license, length of service, average leisure time per week, average
expense on leisure per week, work stress, and workload (all p < .001). By contrast, for the male respondents, no
factor reached statistical significance (p > .001).
4. Discussion
A. Research Findings and Discussion
The results indicate that among the respondents, the observed work stress, workload, and QOL differed in terms
of gender. This finding is similar to that of Lin, et al. [5], who reported that the effects of work stress varied in terms
of employees’ gender. In the present study, among the female respondents, both work stress and workload had
positive relationships with QOL. Physicians in the rehabilitation department had a more positive QOL than physical
therapists. A more negative relationship between work stress and workload and QOL was observed among
respondents who graduated from junior college compared with those who graduated from university. Moreover, a
more negative relationship between work stress and workload and QOL was observed among those with a service
length of more than 11 years compared with those with a service length of less than 10 years. Different arrangements
in leisure time had both positive and negative relationships with QOL. Studies have indicated that working under
heavy workloads or working under such conditions for a prolonged period would cause physical and mental
discomfort and burnout [15, 16]; therefore, workload and working time could significantly influence QOL. For the
male respondents in this study, both work stress and workload were not significantly related to QOL. This may be
because male rehabilitation professionals are able to cope with their job requirements and workload; this thus
explains why none of the variables reached statistical significance for the male respondents.
The results of this study verify that employees’ work stress influences their QOL. Compared with working in
other workplaces, working in hospitals has the potential to pose health risks through medical waste; employees’
working hours are relatively unstable, which affects their daily life and leisure and recreational activities and may
result in reduced QOL. Higher work stress has a negative effect on all QOL aspects. This result is consistent with
that of Chiang, et al. [1], who reported that higher perceptions of work stress among employees result in greater
perceptions of poor physical and mental health. Recently, the government has actively promoted various evaluations
and hospital visits for accreditation. With medical institutions undergoing evaluation attempting to demonstrate
collaborative teamwork in their daily operations in order to pursue higher medical service quality, rehabilitation
professionals are being subjected to unnecessary stress, causing burnout in the long term.
This study suggests that hospital human resource departments should organize various leisure activities for
employees and adopt lively training methods to enhance employees’ ability and competence in their work. Recently,
due to the revision of the Labor Standards Act, medical industries are facing a labor market disequilibrium in terms
of supply and demand. Therefore, to retain health professionals, hospitals should provide employees with more
policy-oriented incentives. To improve employees’ physical and mental health, a few measures are recommended to
hospital managers: establishing a stress-relief helpline in hospitals, assessing the workload of hospital employees,
regularly arranging stress management training courses, implementing health promotion programs to employees,
adopting proactive and preventive medical concepts, regularly arranging promotions and lectures, organizing
education training on stress and emotion management, and implementing health promotion programs in various
medical institutions.
This study suggests that future research can adopt long-term follow-up designs to verify the existence of causal
relationships between variables if adequate resources are available. Increasing the sample size is recommended to
improve the generalizability and accuracy of study findings.
B. Research Limitations
This study adopted purposive sampling and sampled only a portion of rehabilitation professionals in Taiwan;
thus, the generalizability of the study findings is limited. Moreover, some rehabilitation professionals might have
already left their jobs due to high work stress and physical and mental illness; hence, the sample size may have been
underestimated, resulting in the healthy worker effect phenomenon.
International Journal of Healthcare and Medical Sciences
108
Acknowledgments
The authors thank Taiwan Adventist Hospital for providing research funding and the respondents for completing
the questionnaire.
References
[1] Chiang, Y. M., Kuo, M. L., Wang, S. H., Huang, S., and Lee, I. C., 2016. "The association of the disturbed
degree of job stressful events, physical data and quality of life in allied personnel of outpatient department."
The Journal of Nursing, vol. 63, pp. 68-77.
[2] Shaver, K. H. and Lancey, L. M., 2003. "Job and career satisfaction among staff nurses." Journal of
Nursing Administration, vol. 33, pp. 166-172.
[3] Fleming, R., Baum, A., and Singer, J. E., 1984. "Toward an integrative approach to the study, of stress."
Journal of Personality and Social Psychology, vol. 46, pp. 939-949.
[4] Desa, A., Yusooff, F., Ibrahim, N., Kadir, N. B. A., and Rahman, R. M. A., 2014. "A study of the
relationship and influence of personality on job stress among academic administrators at a university."
Social and Behavioral Sciences, vol. 114, pp. 355-359.
[5] Lin, C. H., Chou, S. Y., and Tsai, Y. F., 2017. "Impact of hospital personnel’s job stress on workplace
burnout: An example of nursing personnel of hospitals in taichung city." Cheng Ching Medical Journal,
vol. 13, pp. 20-32.
[6] Gryna, F. M., 2004. Work overload: Redesigning jobs to minimize stress and burnout. New York: ASQ
Quality Press.
[7] Borritz, M., Rugulies, R., Bjorner, J. B., Villadsen, E., Mikkelsen, O. A., and Kristensen, T. S., 2006.
"Burnout among employees in human service work: Design and baseline findings of the PUMA study."
Scandinavian Journal of Public Health, vol. 34, pp. 49-58.
[8] Ray, G., 2010. "Burnout among long-term care staff." Administration in Social Work, vol. 34, pp. 225-240.
[9] Lee, P. C., Lee, S. K., Chan, T. T., Li, C. Y., and Wei, C. J., 2005. "An Investigation of job content and
quality of life among directors of local primary healthcare centers in Taiwan." Fu-Jen Journal of Medicine,
vol. 3, pp. 105 -115.
[10] Campbell, A., Converse, P. E., and Rodgers, W. L., 1976. The quality of American life: perceptions,
evaluations, and satisfactions. New York: Russell Sage Foundation.
[11] Yao, K. P., 2002. "Development and applications of the WHOQOL-Taiwan Version." Formosan Journal of
Medicine, vol. 6, pp. 193-200.
[12] De Arruda, L. H. and De Moraes, A. P., 2001. "The impact of psoriasis on quality of life." The British
Journal of Dermatology, vol. 144, pp. 33-36.
[13] Cheng, Y. S., Wu, L. H., and Yeh, H. F., 2017. "A study of workload of regional hospital social workers in
Taiwan." Journal of Community Work and Community Studies, vol. 7, pp. 113-149.
[14] Chen, C., Chau, T. T., Hsieh, C. F., Jian, J. Z., Hsu, S. T., and Chen, S. P., 2018. "The analysis of
cardiovascular risk and work loading in Taiwanese medical employees." Chinese Journal of Occupational
Medicine, vol. 25, pp. 1-6.
[15] Le Blance, P., Bakker, A. B., Peeters, M. C. W., Van, H. N. C. A., and Schaufeli, W. B., 2001. "Emotional
job demands and burnout among oncology care providers. Anxiety. Stress and coping." vol. 14, pp. 243-
263.
[16] Ggeng, L., Li, S., and Zhou, W., 2011. "The relationships among emotional exhaustion, emotional
intelligence, and occupational identity of social workers in China." Social Behavior & Personality: An
International Journal, vol. 39, pp. 309-319.
International Journal of Healthcare and Medical Sciences
109
Table-1. Reliability analysis
Construct Mean SD Cronbach's α
Work stress 3.230 0.681 0.868
Workload 3.693 0.489 0.786
Quality of life 3.255 0.537 0.868
Table-2. Baseline characteristics (N = 152)
Measure Male % Female % Sum % X2
Age 0.822
20-34Years 34 22.4 52 34.2 86 56.6
35-49Years 23 15.1 39 25.7 62 40.8
50-64Years 1 0.7 3 2.0 4 2.6
Civil status 0.826
Single 36 23.0 52 34.2 87 57.2
Married 21 13.8 38 25.0 59 38.8
Separated 2 1.3 4 2.6 6 3.9
Educational level 0.080
Junior college 1 0.7 10 6.6 11 7.2
University 48 31.6 75 49.3 123 80.9
Graduate school 9 5.9 9 5.9 18 11.8
Medical institution level 0.267
Medical center 12 7.9 19 12.5 31 20.4
Regional hospital 20 13.2 44 28.9 64 42.1
District hospital 26 17.1 31 20.4 57 37.5
Type of profession license 0.236
Physician in rehabilitation
department
1 0.7 5 3.3 6 3.9
Occupational therapist 40 26.3 55 36.2 95 62.5
Speech-language
pathologist
15 9.9 22 14.5 37 24.3
Audiologist 1 0.7 9 5.9 10 6.6
Physician in rehabilitation
division
1 0.7 3 2.0 4 2.6
Length of service (year) 0.162
1–10 46 30.3 61 40.1 107 70.4
11–20 9 5.9 26 17.1 35 23.0
> 21 3 2.0 7 4.6 10 6.6
Average leisure time per week (hour) 0.773
< 10 19 12.5 36 23.7 55 36.2
11–20 19 12.5 33 21.7 52 34.2
21–30 12 7.9 15 9.9 27 17.8
> 30 8 5.3 10 6.6 18 11.8
Average expense on leisure per week (NT$) 0.873
< 2,000 18 11.8 34 22.4 52 34.2
2,001–4,000 17 11.2 28 18.4 45 29.6
4,001–6,000 12 7.9 15 9.9 27 17.8
6,001–8,000 6 3.9 7 4.6 13 8.6
> 8,000 5 3.3 10 6.6 15 9.9
International Journal of Healthcare and Medical Sciences
110
Table-3. Regression model
Measure Quality of life
Control variable Male Female
Age (Reference group: 20-34 Years)
35-49Years .503 1.498
50-64Years 1.976* .682
Civil status (Reference group: single)
Married -.659 -.773
Separated 1.465
Educational level (Reference group: college)
Junior college -.183 -1.770*
Graduate school -1.134 .797
Medical institution level (Reference group: Regional hospital)
Medical center -.968 -.780
District hospital -1.157 .255
Type of professional license (Reference group: Physical therapist)
Physician in rehabilitation division .771 2.249**
Occupational therapist 1.750 -.311
Speech-language pathologist .543 -.662
Audiologist -.062 .300
Length of service (Reference group: 1–10 years)
11–20 years -1.089 -3.267**
> 21 years -.446 -3.132**
Average leisure time per week (Reference group: < 10 hours)
11–20 hours .980 -1.732*
21–30 hours -.643 1.991*
> 30 hours -.312 1.936*
Average cost on leisure per week (Reference group: < NT$2,000)
NT$2,001–4,000 .811 -.003
NT$4,001–6,000 1.877* -1.409
NT$6,001–8,000 1.018 -2.004**
> NT$8,000 .980 -.532
Independent variable
Work stress -2.734** 2.345**
Workload -.385 4.380***
.533 .564
Adj.
081 .367
F values 1.180 2.859
P values 0.330 0.001***
Note: *** p < .01, ** p < .05, *p < .1
2
R
2
R

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Relationship Between Work Stress, Workload, and Quality of Life Among Rehabilitation Professionals

  • 1. International Journal of Healthcare and Medical Sciences ISSN(e): 2414-2999, ISSN(p): 2415-5233 Vol. 4, Issue. 6, pp: 105-110, 2018 URL: http://arpgweb.com/?ic=journal&journal=13&info=aims Academic Research Publishing Group *First co-author **Corresponding author 105 Original Research Open Access Relationship Between Work Stress, Workload, and Quality of Life Among Rehabilitation Professionals Yu-Li Lan Department of Health Administration, Tzu Chi University of Science and Technology, Taiwan Yi-Ching Lin* Department of Rehabilitation, Taiwan Adventist Hospital, Taiwan Yu-Hua Yan** Superintendent office, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan Yu-Ping Tang Department of Rehabilitation, Taiwan Adventist Hospital, Taiwan Abstract Background: This study explored the relationship between work stress, workload, and quality of life (QOL) among rehabilitation professionals. Methods: This study applied a cross-sectional design. A questionnaire was distributed to rehabilitation professionals—comprising physicians in the rehabilitation department, occupational therapists, physical therapists, speech-language pathologists, and audiologists—working in teaching hospitals. A total of 152 valid responses were collected, yielding a valid response rate of 93.8%. Results: For female respondents, factors affecting the QOL were educational level, type of professional license, length of service, average leisure hours per week, expense on leisure per week, work stress, and workload (all p < .01). For male respondents, no factor reached statistical significance (p > .001). Conclusion: This study provides the following suggestions to hospital administrators: establishing a stress-relief helpline, evaluating employees’ workload, regularly arranging stress management training courses, implementing employee health promotion programs, and promoting proactive strategies to improve employee physical and mental health. Keywords: Work stress; Workload, Quality of life. CC BY: Creative Commons Attribution License 4.0 1. Introduction Taiwan is currently an aged society, where health professionals play a crucial role in maintaining people’s independence in daily living activities. Medical institutions should collaborate to implement strategies for creating healthy work environments, which can in turn improve the quality of life (QOL) and service efficiency of health professionals, thus benefiting patients, health professionals, and medical institutions [1]. In addition to ensuring high-quality services, medical institutions are also subjected to various hospital evaluations and accreditations as well as the various regulations of the government’s health insurance system. The heavy workload in medical institutions increases employees’ workplace fatigue and engenders problems of work overload. High work stress predisposes employees to fatigue, and heavy workloads cause work stress and frustration, which are also the main reason for high turnover rates [2]. Work stress is a conceptual process that implicates individuals’ perceptions and reactions to stimulation such as danger or threats [3]. Desa, et al. [4] argued that an appropriate amount of stress can increase people’s focus and preserve their enthusiasm toward their work, enabling them to handle work challenges. Lin, et al. [5] found that the gender of hospital employees also affects their perception of workplace fatigue and work stress. The term ―workload‖ started to receive attention in 1970 by mainly reflecting on the scientific management methods prevailing in the 1930s. Workload is also often mentioned in the fields of psychology, praxeology, and nursing. In Work Overload, Frank Gryna [6] mentions that work overload refers to when the resources and capabilities required are no longer adequate to meet the job requirements. Work overload includes the requirement of working for long hours, working overtime, failing to achieve company goals with limited resources and time, having limited time off, and working ―off the clock,‖ all of which prevent employees from focusing on a single task. Overtime and work overload cause physical illness and a reduction in the number of working days and poor working conditions. Numerous scholars have provided various explanations and definitions for work overload: Work overload can be divided into quality and quantity dimensions. The quantity dimension describes whether the amount of work imposed on employees is excessive, whereas the quality dimension describes whether employees can effectively complete work tasks, or the relationship between work requirement and capacity. Work overload is the primary factor causing work fatigue for human service workers [7, 8], and it reduces QOL [9] The concept of QOL can be traced back to Aristotle. He viewed life based on happiness and considered that happiness is a blessing from God. Happiness refers to positive spiritual activities and satisfaction of the soul.
  • 2. International Journal of Healthcare and Medical Sciences 106 Accordingly, happy people can live well and handle life smoothly. With advancements in science, people expect to have a high QOL in addition to satisfying their basic living needs. The term ―quality of life‖ emerged after World War II and was formally proposed by Campbell, et al. [10]. They considered that personal satisfaction includes different aspects of life such as marriage, family life, friendship, living standards, finance, and religion. In 1995, the World Health Organization defined QOL as ―individual’s perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns. It is a broad ranging concept affected complexly by the person’s physical health, psychological state, personal beliefs, social relationships and their relationship to salient features of their environment‖ [11]. QOL is a subjective experience of an individual’s environment and a multilevel conceptual need. If a person considers that he or she has reached a state of physical, psychological, and social comfort, he or she has a high QOL [12]. Cheng, et al. [13] found that the overall workload imposed on social workers in regional hospitals is high. Such workers are highly exhausted both physically and mentally, nervous, and subjected to time pressure. Moreover, they are required to concentrate on decision-making in their work environments, which is the primary source of workload perception. Chen, et al. [14] reported that physicians are more likely to have ischemic heart disease within 10 years compared with other practitioners. Physicians should be encouraged to practice behavioral patterns of health promotion and set an example for patients regarding self-care and avoid high-risk work environments. According to the literature, QOL is a multilevel conceptual experience. In addition to physiological, psychological, and social aspects, environmental factors should be considered in the analysis of QOL. Because of the changes in the medical labor market, the types and effects of work stressors are expected to vary. On the basis of the principles of occupational health psychology, topics relevant to the working conditions of rehabilitation professionals require more attention. The turnover and retention rates of rehabilitation professionals have been the primary management concerns in rehabilitation departments of hospitals. Therefore, the objective of this study was to explore the relationship between work stress, workload, and QOL among rehabilitation professionals. 2. Methods and Materials A. Research Design and Participants This study applied a cross-sectional design. Rehabilitation professionals working in a teaching hospital were included in this study; the professionals comprised physicians in the rehabilitation department, occupational therapists, physical therapists, speech-language pathologists, and audiologists. The inclusion criteria were as follows: respondents should (1) serve in teaching hospitals (including district teaching hospitals, regional teaching hospitals, and medical centers); (2) passed the national examinations of rehabilitation professionals; and (3) agree to sign the informed consent form. A structured questionnaire was used for collecting data. The questionnaire was designed on the basis of the domestic and foreign literature and finalized after validity verification by hospital business managers and experts. A total of 162 copies of the questionnaire were distributed from July 1 to August 30, 2017. After the returned copies were assessed for validity, 10 were eliminated because of their incompleteness and skeptical response patterns (e.g., same response for all items). A total of 152 valid samples were collected, yielding a valid response rate of 93.8%. The research design was reviewed and approved by the Institutional Review Board of Taiwan Adventist Hospital (105-E-21). B. Research Instruments and Reliability and Validity Testing The self-developed questionnaire was used to collect various data, including respondents’ demographics, scales of work stress, workload, and QOL. The questionnaire items were rated on a 5-point Likert scale (5 = strongly agree; 4 = agree; 3 = neutral; 2 = disagree; and 1 = strongly disagree). Regarding data collection, each dimensions, the number of items, and the corresponding Cronbach’s alpha are outlined as follows: work stress, 10 items, Cronbach’s alpha coefficient = 0.866; workload, 6 items, Cronbach’s alpha coefficient = 0.786; and QOL, 10 items, Cronbach’s alpha coefficient = 0.868. The Cronbach’s alpha for overall reliability was 0.854; thus, the empirical data of this study were determined to have a certain degree of reliability (Table 1). C. Statistical Analysis Data archiving and analysis were conducted using SPSS for Windows version 18.0; significance was set at p<.05. Descriptive statistics were used to examine and screen the data to eliminate false data before statistical analysis. For inferential statistics, a regression analysis was conducted to explore the relationship between work stress, workload, and QOL. 3. Results A. Sample Characteristics Among the respondents who provided valid responses, 58 (38.2%) were men and 94 (61.8%) were women. Regarding age, most respondents were aged 20–34 years (n = 86, 56%), followed by those aged 35–49 years (n = 62, 40.8%), and those aged older than 50 years (n = 4, 2.6%). Concerning marital status, most respondents were single (n = 87, 57.2%) followed by those who were married (n = 59, 38.8%). For the highest educational level, most respondents had a bachelor’s degree (n = 123, 80.9%). Concerning the medical institution level, most respondents worked in regional hospitals (n = 64, 42.1%), followed by district hospitals (n = 57, 37.5%). Regarding the type of professional license, most respondents were physical therapists (n = 95, 62.5%), followed by occupational therapists
  • 3. International Journal of Healthcare and Medical Sciences 107 (n = 37, 24.3%). For the length of service, most respondents had a service length of 1–10 years (n = 107, 70.4%). Regarding average leisure time and expense per week, most respondents spent less than 10 hours on leisure (n = 55, 36.2%) and spent less than NT$2,000 on leisure (n = 52, 34.2%). The p values obtained for the aforementioned factors through a Chi-square test were as follows: age, p =.822; marital status, p = .826; educational level, p < .01; medical institution level, p =.267; type of professional license, p = .236; length of service, p = .162; average leisure time per week, p =.773; and average expense on leisure per week, p = .873 (Table 2). B. Analysis of Work Stress, Workload, and QOL This study also compared the relationship between work stress, workload, and QOL. Collinearity may be present in a regression analysis of control variables and independent variables; thus, collinearity was explored first by calculating the variance inflation factor (<10) and condition index (<10). For the male and female respondents, the F-statistics obtained after a regression on QOL were as follows: F = 1.180 (p = .330) and F = 2.859 (p < .001), respectively (Table 3). According to the regression model in Table 3, for the female respondents, factors influencing QOL were educational level, type of professional license, length of service, average leisure time per week, average expense on leisure per week, work stress, and workload (all p < .001). By contrast, for the male respondents, no factor reached statistical significance (p > .001). 4. Discussion A. Research Findings and Discussion The results indicate that among the respondents, the observed work stress, workload, and QOL differed in terms of gender. This finding is similar to that of Lin, et al. [5], who reported that the effects of work stress varied in terms of employees’ gender. In the present study, among the female respondents, both work stress and workload had positive relationships with QOL. Physicians in the rehabilitation department had a more positive QOL than physical therapists. A more negative relationship between work stress and workload and QOL was observed among respondents who graduated from junior college compared with those who graduated from university. Moreover, a more negative relationship between work stress and workload and QOL was observed among those with a service length of more than 11 years compared with those with a service length of less than 10 years. Different arrangements in leisure time had both positive and negative relationships with QOL. Studies have indicated that working under heavy workloads or working under such conditions for a prolonged period would cause physical and mental discomfort and burnout [15, 16]; therefore, workload and working time could significantly influence QOL. For the male respondents in this study, both work stress and workload were not significantly related to QOL. This may be because male rehabilitation professionals are able to cope with their job requirements and workload; this thus explains why none of the variables reached statistical significance for the male respondents. The results of this study verify that employees’ work stress influences their QOL. Compared with working in other workplaces, working in hospitals has the potential to pose health risks through medical waste; employees’ working hours are relatively unstable, which affects their daily life and leisure and recreational activities and may result in reduced QOL. Higher work stress has a negative effect on all QOL aspects. This result is consistent with that of Chiang, et al. [1], who reported that higher perceptions of work stress among employees result in greater perceptions of poor physical and mental health. Recently, the government has actively promoted various evaluations and hospital visits for accreditation. With medical institutions undergoing evaluation attempting to demonstrate collaborative teamwork in their daily operations in order to pursue higher medical service quality, rehabilitation professionals are being subjected to unnecessary stress, causing burnout in the long term. This study suggests that hospital human resource departments should organize various leisure activities for employees and adopt lively training methods to enhance employees’ ability and competence in their work. Recently, due to the revision of the Labor Standards Act, medical industries are facing a labor market disequilibrium in terms of supply and demand. Therefore, to retain health professionals, hospitals should provide employees with more policy-oriented incentives. To improve employees’ physical and mental health, a few measures are recommended to hospital managers: establishing a stress-relief helpline in hospitals, assessing the workload of hospital employees, regularly arranging stress management training courses, implementing health promotion programs to employees, adopting proactive and preventive medical concepts, regularly arranging promotions and lectures, organizing education training on stress and emotion management, and implementing health promotion programs in various medical institutions. This study suggests that future research can adopt long-term follow-up designs to verify the existence of causal relationships between variables if adequate resources are available. Increasing the sample size is recommended to improve the generalizability and accuracy of study findings. B. Research Limitations This study adopted purposive sampling and sampled only a portion of rehabilitation professionals in Taiwan; thus, the generalizability of the study findings is limited. Moreover, some rehabilitation professionals might have already left their jobs due to high work stress and physical and mental illness; hence, the sample size may have been underestimated, resulting in the healthy worker effect phenomenon.
  • 4. International Journal of Healthcare and Medical Sciences 108 Acknowledgments The authors thank Taiwan Adventist Hospital for providing research funding and the respondents for completing the questionnaire. References [1] Chiang, Y. M., Kuo, M. L., Wang, S. H., Huang, S., and Lee, I. C., 2016. "The association of the disturbed degree of job stressful events, physical data and quality of life in allied personnel of outpatient department." The Journal of Nursing, vol. 63, pp. 68-77. [2] Shaver, K. H. and Lancey, L. M., 2003. "Job and career satisfaction among staff nurses." Journal of Nursing Administration, vol. 33, pp. 166-172. [3] Fleming, R., Baum, A., and Singer, J. E., 1984. "Toward an integrative approach to the study, of stress." Journal of Personality and Social Psychology, vol. 46, pp. 939-949. [4] Desa, A., Yusooff, F., Ibrahim, N., Kadir, N. B. A., and Rahman, R. M. A., 2014. "A study of the relationship and influence of personality on job stress among academic administrators at a university." Social and Behavioral Sciences, vol. 114, pp. 355-359. [5] Lin, C. H., Chou, S. Y., and Tsai, Y. F., 2017. "Impact of hospital personnel’s job stress on workplace burnout: An example of nursing personnel of hospitals in taichung city." Cheng Ching Medical Journal, vol. 13, pp. 20-32. [6] Gryna, F. M., 2004. Work overload: Redesigning jobs to minimize stress and burnout. New York: ASQ Quality Press. [7] Borritz, M., Rugulies, R., Bjorner, J. B., Villadsen, E., Mikkelsen, O. A., and Kristensen, T. S., 2006. "Burnout among employees in human service work: Design and baseline findings of the PUMA study." Scandinavian Journal of Public Health, vol. 34, pp. 49-58. [8] Ray, G., 2010. "Burnout among long-term care staff." Administration in Social Work, vol. 34, pp. 225-240. [9] Lee, P. C., Lee, S. K., Chan, T. T., Li, C. Y., and Wei, C. J., 2005. "An Investigation of job content and quality of life among directors of local primary healthcare centers in Taiwan." Fu-Jen Journal of Medicine, vol. 3, pp. 105 -115. [10] Campbell, A., Converse, P. E., and Rodgers, W. L., 1976. The quality of American life: perceptions, evaluations, and satisfactions. New York: Russell Sage Foundation. [11] Yao, K. P., 2002. "Development and applications of the WHOQOL-Taiwan Version." Formosan Journal of Medicine, vol. 6, pp. 193-200. [12] De Arruda, L. H. and De Moraes, A. P., 2001. "The impact of psoriasis on quality of life." The British Journal of Dermatology, vol. 144, pp. 33-36. [13] Cheng, Y. S., Wu, L. H., and Yeh, H. F., 2017. "A study of workload of regional hospital social workers in Taiwan." Journal of Community Work and Community Studies, vol. 7, pp. 113-149. [14] Chen, C., Chau, T. T., Hsieh, C. F., Jian, J. Z., Hsu, S. T., and Chen, S. P., 2018. "The analysis of cardiovascular risk and work loading in Taiwanese medical employees." Chinese Journal of Occupational Medicine, vol. 25, pp. 1-6. [15] Le Blance, P., Bakker, A. B., Peeters, M. C. W., Van, H. N. C. A., and Schaufeli, W. B., 2001. "Emotional job demands and burnout among oncology care providers. Anxiety. Stress and coping." vol. 14, pp. 243- 263. [16] Ggeng, L., Li, S., and Zhou, W., 2011. "The relationships among emotional exhaustion, emotional intelligence, and occupational identity of social workers in China." Social Behavior & Personality: An International Journal, vol. 39, pp. 309-319.
  • 5. International Journal of Healthcare and Medical Sciences 109 Table-1. Reliability analysis Construct Mean SD Cronbach's α Work stress 3.230 0.681 0.868 Workload 3.693 0.489 0.786 Quality of life 3.255 0.537 0.868 Table-2. Baseline characteristics (N = 152) Measure Male % Female % Sum % X2 Age 0.822 20-34Years 34 22.4 52 34.2 86 56.6 35-49Years 23 15.1 39 25.7 62 40.8 50-64Years 1 0.7 3 2.0 4 2.6 Civil status 0.826 Single 36 23.0 52 34.2 87 57.2 Married 21 13.8 38 25.0 59 38.8 Separated 2 1.3 4 2.6 6 3.9 Educational level 0.080 Junior college 1 0.7 10 6.6 11 7.2 University 48 31.6 75 49.3 123 80.9 Graduate school 9 5.9 9 5.9 18 11.8 Medical institution level 0.267 Medical center 12 7.9 19 12.5 31 20.4 Regional hospital 20 13.2 44 28.9 64 42.1 District hospital 26 17.1 31 20.4 57 37.5 Type of profession license 0.236 Physician in rehabilitation department 1 0.7 5 3.3 6 3.9 Occupational therapist 40 26.3 55 36.2 95 62.5 Speech-language pathologist 15 9.9 22 14.5 37 24.3 Audiologist 1 0.7 9 5.9 10 6.6 Physician in rehabilitation division 1 0.7 3 2.0 4 2.6 Length of service (year) 0.162 1–10 46 30.3 61 40.1 107 70.4 11–20 9 5.9 26 17.1 35 23.0 > 21 3 2.0 7 4.6 10 6.6 Average leisure time per week (hour) 0.773 < 10 19 12.5 36 23.7 55 36.2 11–20 19 12.5 33 21.7 52 34.2 21–30 12 7.9 15 9.9 27 17.8 > 30 8 5.3 10 6.6 18 11.8 Average expense on leisure per week (NT$) 0.873 < 2,000 18 11.8 34 22.4 52 34.2 2,001–4,000 17 11.2 28 18.4 45 29.6 4,001–6,000 12 7.9 15 9.9 27 17.8 6,001–8,000 6 3.9 7 4.6 13 8.6 > 8,000 5 3.3 10 6.6 15 9.9
  • 6. International Journal of Healthcare and Medical Sciences 110 Table-3. Regression model Measure Quality of life Control variable Male Female Age (Reference group: 20-34 Years) 35-49Years .503 1.498 50-64Years 1.976* .682 Civil status (Reference group: single) Married -.659 -.773 Separated 1.465 Educational level (Reference group: college) Junior college -.183 -1.770* Graduate school -1.134 .797 Medical institution level (Reference group: Regional hospital) Medical center -.968 -.780 District hospital -1.157 .255 Type of professional license (Reference group: Physical therapist) Physician in rehabilitation division .771 2.249** Occupational therapist 1.750 -.311 Speech-language pathologist .543 -.662 Audiologist -.062 .300 Length of service (Reference group: 1–10 years) 11–20 years -1.089 -3.267** > 21 years -.446 -3.132** Average leisure time per week (Reference group: < 10 hours) 11–20 hours .980 -1.732* 21–30 hours -.643 1.991* > 30 hours -.312 1.936* Average cost on leisure per week (Reference group: < NT$2,000) NT$2,001–4,000 .811 -.003 NT$4,001–6,000 1.877* -1.409 NT$6,001–8,000 1.018 -2.004** > NT$8,000 .980 -.532 Independent variable Work stress -2.734** 2.345** Workload -.385 4.380*** .533 .564 Adj. 081 .367 F values 1.180 2.859 P values 0.330 0.001*** Note: *** p < .01, ** p < .05, *p < .1 2 R 2 R