Buscar en
Enfermería Clínica
Toda la web
Inicio Enfermería Clínica Analysis of factors related to the mental workload of nurses during interaction ...
Información de la revista
Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 262-269 (Septiembre 2019)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
5589
Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 262-269 (Septiembre 2019)
Acceso a texto completo
Analysis of factors related to the mental workload of nurses during interaction through nursing care in the intensive care unit
Visitas
5589
Hany Wihardjaa,b, Rr. Tutik Sri Hariyatia,
Autor para correspondencia
tutik@ui.ac.id

Corresponding author.
, Dewi Gayatria
a Faculty of Nursing, Universitas Indonesia, Depok, West Java, Indonesia
b Sint Carolus School of Health Sciences
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (1)
Abstract
Objective

This research aims to identify the factors most closely related to the mental workload of nurses during interactions through nursing care in the intensive care unit.

Method

This study is quantitative cross-sectional research using a questionnaire for data collection. This study used total population sampling of 129 nurses working in the intensive care unit. The data was analyzed using Chi-Square and multiple logistic regression.

Result

The result of the logistic regression test showed that the motivation factor (p=0.022; α=0.05) is the most influential variable in the mental workload of nurses compared to the other variables (individual, task, and organizational factors).

Conclusion

Hospitals can optimize socialization through a reward system as well as implement a competence and soft skill development program for nurses.

Keywords:
Intensive care unit
Nursing care
Mental workload
Texto completo
Introduction

Nurses often face a variety of internal and external hardships while performing their responsibilities.1,2 An example of an external issue includes the condition of a patient's health and their relationship with others, while an example of an internal issue includes the lack of knowledge or skills in nurses regarding the provision of nursing care.3 These issues can cause physical and psychological responses that cannot be ignored because such factors may affect a nurse's performance in the workplace.4 Nursing is also one of the most potentially stressful professions that accompanied by a high workload due to the pressures arising from their job demands.

The sustainability of nursing services is strongly influenced by the availability of productive and prosperous individual nurses.5 High workload becomes one of the risks of decreasing accuracy, concentration, and job security in such a way that the quality and performance of nurses also tends to decline.6 Many results from various health cognitive studies conclude that, from many factors that significantly trigger a human error, one is caused by the occurrence of the higher mental workload on the worker.7,8

Nurses working in the intensive care unit are experiencing a great amount of stress. These individuals undertake more responsibilities and are constricted by time limitations that make their workload higher both physically and mentally.9,10 The mental workload rate of ICU nurses (82.33%) is higher than that of nurses working in orthopedic treatment rooms (63.5%).11

Several factors undoubtedly influence the occurrence of mental workload on the nurse.12 The factors affecting the nurse's workload consist of both patient and non-patient factors. This study focuses on non-patient factors such as organizational factors, job factors, individual characteristics, and motivation. The study aims to identify the factors most closely related to the mental workload of nurses in the intensive care unit.

Method

This study is quantitative cross-sectional research using a questionnaire for data collection. The survey was conducted in intensive care units for the military, government, and private hospitals in Jakarta and Tangerang. The sampling technique used the total population sampling method and involved as many as 129 nurses (62 nurses from a military hospital, 45 nurses from a government hospital and 22 nurses from a private hospital). The inclusion criteria in this study were nurses willing to be respondents, nurses working in the intensive care unit, nurses not on leave (active), nurses not on holiday, nurses not in education or training, and nurses not belonging to the new nursing orientation (working less than one year).

The data collection tool used in this research utilizes five types of questionnaires: demographic data questionnaire, motivation questionnaire, nursing perception questionnaire relatives to the hospital, nursing perception questionnaire relative to the actual job, and mental workload questionnaire. Researchers have tested the validity and reliability of instruments in Sint Carolus hospital involving 29 nurses with Cronbach's Alpha of 0.753. Researchers designed a demographic survey consisting of age, marital status, educational level, length of work, nutritional status, career level, and training. The motivational questionnaire was adopted from Herzberg's theory,13 which explains the internal and external processes of an individual's work duties and consists of twelve questions.

The nurse's perception questionnaire was adopted from Manurung et al.14 with modifications applied by the researchers. Cronbach's Alpha obtained the revelation of a census of fifteen item statements and reliability tests (0.838). The work factor instrument used the Work Design Questionnaire developed by Morgeson and Humphrey15 with modifications applied by the researchers. The test reliability with Cronbach's Alpha measured in at 0.742. This survey was developed to examine the design work and measurements of job characteristics including five sub-variables: task diversity, task identity, time of assignment, work environment, and feedback consisting of 22 revelation points.

The mental workload questionnaire was developed by Mediawati et al.8 and consists of ten questions; each question consists of items that total a series of 41 questions. The results of model testing through the Lisrel program obtained p-value=0.150 (p>0.05) and RMSEA=0.075 (RMSEA<0.1). The researcher maintained the ethics of the research by obtaining ethical approval from the Faculty of Nursing Universitas Indonesia Ethics Committee with letter number 66/UN2.F12.D/HKP.02.04/2018 as well as providing informed consent to the respondent before data collection occurred. All data collected from respondents involved in this research is completely confidential and has been used only for research purposes.

The data collected through research was analyzed using a computer statistics program to determine the relationship between some independent and dependent variables. Univariate analysis of this research was performed using a descriptive test, relationship analysis with the Chi-Square test, and multivariate analysis with a multiple logistic regression of α=0.05. Logistic regression analysis was performed to identify factors most closely related to the mental workload of nurses during interactions through nursing care in the intensive care unit.

Results

The results of this study are the results obtained through processing research instruments. Characteristic data of nurses (Table 1) based on age with a mean of age of 36.27 years had a standard deviation of 8.576. The majority of nurses participating in the study are between 20 and 40 years old (72.9%), and the average length of nursing work per individual is 12.24 years with a standard deviation of 9.117. The majority of nurses have a working period of greater than five years (84.5%).

Table 1.

Characteristics of nurses based on age, working experiences, education background, marital status, nutritional status, career level, and training experiences in intensive care unit in 2018 (N=129).

No  Characteristics of nurses  Total
    n 
  Age
20–40 year  94  72.9 
≥40 year  35  27.1 
  Working Experiences
<5 year  20  15.5 
≥5 year  109  84.5 
  Educational Background
Nursing Diploma  97  75.2 
RN/Nursing Master*  32  24.8 
  Marital Status
Unmarried  28  21.7 
Married  101  78.3 
  Nutritional Status
Less or more than BMI  73  56.6 
Normal BMI  56  43.4 
  Career Level
Non-Clinical Nurse  14  10.9 
Clinical Nurse 1  30  23.3 
Clinical Nurse 2  38  29.5 
Clinical Nurse 3  46  35.7 
Clinical Nurse 4  0.8 
  Training Experiences (≤5 year)
No Training  57  44.2 
Training  72  55.8 
*

There's only one nursing master of all research samples.

Nurse characteristics data (Table 1) found that the majority of nurses were married (78.3%) and had obtained a nursing diploma (75.2%). As many as 82 nurses level Clinical Nurse III and lower included ranked at a poor nutritional status (BMI lowest that 19 or greater than 25), while as many as 73 individuals from all career levels ranked at the same poor nutritional status.

Most nurses working in the intensive care unit have a high motivation (71.3%) (Table 2). Intrinsic motivation includes subjective judgments regarding achievement, endeavor, and meaningfulness, while extrinsic motivation comprises subjective judgments regarding salary, work environment, supervision, and rewards.

Table 2.

Nurse motivation, nurse perceptions of organizations and work in intensive care unit in 2018 (N=129).

No  Variable  Total
    n 
  Motivation
Low Motivation  36  28.7 
High Motivation  93  71.3 
  Organizational Factor
Not Good  62  48.8 
Good  67  51.2 
  Work/Task Factor
Not Good  32  25.6 
Good  97  74.4 

The nurse's perception of the organization (Table 2) shows almost equal values between less favorable (48.8%) and more favorable (51.2%). Organizational factors include an assessment of the complexity, formalization, and centralization of the nurse's workplace organization. In contrast to regulatory elements, the majority of nurses perceived that the work assigned to them was meaningful (74.4%) (Table 2). Job factors include an assessment of the diversity of assignments, job identity, work time, work environment, and work feedback.

The dependent variable for the mental workload (Table 3) shows that the mental workload level is almost equally thought to be low (45.7%) and high (54.3%). The results of the relationship analysis showed that age, length of work, education, marital status, nutritional status, and career level were not significantly related to the mental workload of nurses (p>0.05) (Table 4). Nursing training and nurse motivation in the last five years both showed a significant relationship with mental workload at p=0.047; α=0.05 and p=0.004; α=0.05, respectively (Table 4).

Table 3.

Nurse mental workload during interaction through nursing care in the intensive care unit in 2018 (N=129).

No  Variable  Total
    n 
  Mental Workload
Low  59  45.7 
High  70  54.3 
Table 4.

Relationship between nurse characteristics (age, working experiences, educational background, marital status, nutritional status, career level, and training experiences) with motivation with nurse mental workload during interaction through nursing care in the intensive care unit in 2018 (N=129).

VariableNurse mental workloadTotalOR 95% CIp value
Low  High 
n (%)  n (%)  n (%) 
Age
20–40 year  42 (44.7)  52 (55.3)  94 (100)  0.855 (0.39;1.86)0.845 
>40 year  17 (48.6)  18 (51.4)  35 (100)   
Working Experiences
<5 year  7 (35.0)  13 (65.0)  20 (100)  0.590 (0.21;1.59)0.421 
≥5 year  52 (47.7)  57 (52.3)  109 (100)   
Educational Background
Nursing Diploma  46 (47.4)  51 (52.6)  97 (100)  1.318 (0.58;2.96)0.642 
RN/Nursing Master  13 (40.6)  19 (59.4)  32 (100)   
Marital Status
Unmarried  11 (39.3)  17 (60.7)  28 (100)  0.714 (0.30;1.67)0.575 
Married  48 (47.5)  53 (52.5)  101 (100)   
Nutritional Status
Less or more than BMI  32 (43.8)  41 (56.2)  73 (100)  0.838 (0.41;1.68)0.752 
Normal BMI  27 (48.2)  29 (51.8)  56 (100)   
Career Level
Level<Clinical Nurse 3  35 (42.7)  47 (57.3)  82 (100)  0.714 (0.34;1.46)0.462 
LevelClinical Nurse 3  24 (51.1)  23 (48.9)  47 (100)   
Training Experiences
No Training  20 (35.1)  37 (64.9)  57 (100)  0.457 (0.22;0.93)0.047* 
Training  39 (54.2)  33 (45.8)  72 (100)   
Nurse Motivation
Low  9 (24.3)  28 (75.7)  37 (100)  0.270 (0.11;0.63)0.004* 
High  50 (54.3)  42 (45.7)  92 (100)   

There was a significant correlation between the nurse perception regarding organizational factors (p=0.003, α=0.05), and nurse perception of work factors (p=0.023; α=0.05) on the mental workload of nurses during interaction through nursing care in intensive care (Table 5). The variable selection contains several variables possessing p-values (<0.25) that are included in the multivariate analysis, including training (p=0.167), nurse motivation (p=0.123), organizational factors (p=0.132), and length of work (p=0.224). Job factor variables are factors that are significantly related to bivariate analysis and are essential substances of mental workload that cannot be eliminated; therefore, the coefficient for the employment factor is included in the multivariate analysis.

Table 5.

Relationship between nurse perception of organization and work with nurses mental workload during interaction through nursing care in the intensive care unit in 2018 (N=129).

VariableNurse mental workloadTotalOR 95% CIp value
Low  High 
n (%)  n (%)  n (%) 
Organizational Factor
Good  39 (59.1)  27 (40.9)  66 (100)  0.322 (0.15;0.66)0.003* 
Not Good  20 (31.7)  43 (68.3)  63 (100)   
Work Factor
Good  50 (52.1)  46 (47.9)  96 (100)  0.345 (0.14;0.81)0.023* 
Not Good  9 (27.3)  24 (72.7)  33 (100)   
*

=statistically significant p<0.05

Five variables have a p-value greater than 0.05, which are eliminated one by one from the largest p-value of the job factor (p=0.441) (Table 6). The results show that only one variable has a p-value <0.05, which is the organizational factor variable (p=0.040). Next, the elimination of training variables was carried out with p>0.05, where two variables with a p-value <0.05 were obtained, including motivational (p=0.039) and organizational factors (p=0.039). The next analysis tests the interaction between motivation variables and regulatory factors to differentiate between the contributions of each variable (Table 7). The results of the interaction test on intrinsic motivation variables and organizational factors resulted in p=0.728 (p>0.05), which indicates there is no interaction between the two variables.

Table 6.

First modeling of multivariate modeling logistic regression.

Variable  B  S.E.  Wald  p value  OR95% CI 
Working Experiences (1)  0.670  0.544  1.514  0.219  1.954 (0.67;5.67) 
Training Experiences (1)  0.587  0.394  2.215  0.137  1.798 (0.83;3.89) 
Motivation (1)  0.783  0.529  2.190  0.139  2.187 (0.77;6.16) 
Organizational Factor (1)  0.676  0.417  2.632  0.105  1.967 (0.86;4.45) 
Work Factor (1)  0.404  0.524  0.593  0.441  1.497 (0.53;4.18) 
Constant  −0.804  0.315  6.504  0.011   
Table 7.

Variable interaction test (N=129).

Variable  B  S.E.  Wald  p value  OR95% CI 
Motivation (1)  0.736  0.809  0.827  0.363  2.087 (0.42;10.19) 
Organizational Factor (1)  0.753  0.442  2.906  0.088  2.124 (0.89;5.05) 
Motivation (1) by Organizationalfactor (1)  0.345  0.993  0.121  0.728  1.412 (0.20;9.89) 
Constant  −0.448  0.267  2.817  0.093   

Variables with p<0.05 were organizational and motivational factors, so it can be concluded that these two variables were the factors most related to the mental workload of nurses during interaction through nursing care in the intensive care unit (Table 8). A greater odds ratio (OR) resulted in motivational factors, rendering the element the most influential factor on the dependent variable for the mental workload of nurses.

Table 8.

Last modeling of multivariate modeling logistic regression.

Variable  B  S.E.  Wald  p value  OR95% CI 
Motivation (1)  0.967  0.469  4.256  0.039  2.630 (1.04;6.58) 
Organizational Factor (1)  0.821  0.398  4.269  0.039  2.274 (1.04;4.95) 
Constant  −0.473  0.258  3.360  0.067  0.623 

Nurses with low motivation have an opportunity of 2.6 times greater to perceive a high psychological workload after being controlled by organizational factors. Nurses who understand that their organization is not right to have a chance of 2.2 times to feel a high mental workload, after being controlled by motivational factors (Table 8). The calculation of the logistic regression equation concluded that if the nurse's motivation is low, then the nurse's mental workload will increase by 0.967 times, and if the nurse's perception of the organization is not accurate, then the mental workload will increase by 0.821 times (Fig. 1).

Figure 1.

Logistic regression equation.

(0,04MB).
DiscussionThe relationship between individual characteristics and nurses’ mental workload

Age is an individual socio-demographic factor that is often investigated because it is relative to one's ability, maturity, and perspective.16 The results of this study show that some nurses belong to a productive age range, meaning that these nurses are in the most optimal condition for applying their competencies.17 Similarly, in this study, the productive age is defined by a period of maturity and a nurse's application of her maturity in the provision of optimal nursing care.

Statistical analysis showed no significant relationship between nurses age and mental workload.18,19 Other research concluded that there was no significant relationship between the age of nurses and their mental workload. Many other factors also influence nurses in the productive range age in response to stimulation from their work. Characteristics involving work duration showed no significant relationship between work duration and mental workload. The length of time a person takes to complete one or several actions can cause boredom and create work stress in the nurse, but this happens due to several other factors inside or outside the nurse's capacity.20

The characteristics of nurses based on education show that most of the nurses who work in intensive care units have a Diploma in Nursing (75.2%). The results of the relationship analysis found that there was no significant relationship between training and the mental workload of nurses. School is one of the individual characteristics that can increase the knowledge of nurses but does not directly influence the nurses’ subjective perceptions of workload.

Characteristics of marital status indicate no significant relationship between marital status and mental workload of nurses.21–23 Similar to other nursing research that there is no significant relationship between marital status and workload for nurses.24 The finding is most likely true because a person's marital status does not always affect a person's work ethic or performance in the workplace.25 Nurses who are either married or unmarried can experience problems both inside and outside of work, but the problem-solving ability is very much dependent on coping mechanisms specific to each person.

The description of nutritional status also showed similar results in that there was no significant relationship between nutritional status and mental workload of nurses.25,26 Some literature claims that nutritional status does not affect fatigue as it relates to mental workload in nurses. Nutritional status may be directly related to the strength of the body, energy, and a nurse's physical performance, but it does not directly influence one's perception of mental workload.

The results showed no significant relationship between career levels and a mental workload in nurses.27 Different from this study, the author found that the level of nurse competence is related to the level of workload and patient safety. Nurses also should be motivated to improve their competence through a career path system in which they can reap benefits.28 Appropriate competencies that even exceed the career level can reduce workload both for nurses as individuals and their colleagues.

The results of the analysis showed that there was a significant relationship between training and the mental workload of nurses.29,30 Similarly, the other study shows that practice directly relates to nurses’ workload. Nurses’ relevant knowledge and skills increased after attending a training, thus enabling them to work independently toward resolving difficulties at work.31 Nurses who work in intensive care units are often faced with demands for specific actions and skills such as administering drugs through a syringe pump, suctioning patients with ventilators, etc. When these actions are completed quickly and skillfully by the nurse, she can perceive that there is no work pressure while working in the intensive care unit.

The relationship between organizational and job-related factors regarding nurses’ mental workload

The results of the analysis showed that there was a correlation between organizational characteristics and mental workload of nurses during interaction with patients in the intensive care unit (p<0.05). The organizational factors drive the emergence of mental workload,8 and the nurse will likely display a more loyal attitude if she feels a sense of involvement and satisfaction within the organization, balancing workload with capability.

The results of the analysis show that there is a relationship between the factors of work and the mental workload of nurses when interacting with patients in the intensive care unit (p<0.05).32,33 The same condition found in another study that employment factors are significantly associated with nurses’ mental workload and that individual and occupational characteristics strongly influence moderate to severe mental workloads that occur in nearly 90% of nurses. A productive nurse will work following the abilities and needs of her occupation so that the tasks assigned to her are not considered excessive or burdensome during her practice.34

Motivation as the factor most associated with the mental workload in nurses

Motivation and ability are two things that significantly affect a nurse's performance.32 The intrinsic motivation comes from within, along with demographic aspects, talents, skills, and commitments that can affect performance. Extrinsic motivation is the motivation that results from a nurse's external environment and surroundings. Workload and motivation are two things that are assumed to influence each other because workloads that are too heavy can reduce motivation levels, and vice versa.33 Work motivation is a psychological process that is important in determining an individual's attitudes, perceptions, and decision-making tendencies.36 Nurses who are equipped with internal stimuli perform their work based on careful calculations and use moderate risk in their nursing care. Nurses who work carefully have the opportunity to avoid mistakes in providing nursing care, which prevents the possibility of additional workloads that were not taken into account beforehand.35 These results of the study are supported by other research in Indonesia which states that there is a significant relationship between salary as a sub-variable motivation and nurse performance.38 Income that does not meet expectations can cause a decrease in motivation. If the reward obtained is less than the nurse's expectations, it is easy to lose motivation and take less care with job responsibilities.

The result of the multivariate analysis showed that motivation correlated most with the mental workload.8 Nurses must have adequate motivation to remain in safe control of their responsibilities and avoid mental fatigue. Motivation is the most influential factor because it is closely related to the behavior and performance of nurses when providing nursing care. Motivation has been proven to be a fundamental value and internal stimulus that moves and instructs an individual toward responding to occurrences related to that individual.39 The best way to work is by implementing emotional intelligence into one's responsibilities.40 Emotional intelligence consists of five components, one of which is motivation.

The results from the logistics model analysis demonstrated probability calculations indicating that nurses who perceive that the organization is not suitable and have low work motivation together contribute 91.8% to a nurse's mental workload. This probability estimation shows that both factors play a significant role in influencing the emergence of nurses’ mental workload. Other factors may be affected by a patient as well as external factors from other nursing jobs. The nurse must have adequate motivation to retain her self-control and efficiently prevent mental fatigue.

Motivation can push a person to work passionately to achieve their highly self-committed goals.41 The results of the study illustrate that nurses working in intensive care rooms have high work motivation, and therefore incorporate their emotional intelligence into their work. The nurse can build a perception of a balanced mental workload so that her assigned responsibilities are not considered stressors that negatively affect her mental workload.

McClelland's motivation theory explains that motivation can bring someone to action.37 This action is based on a person's basic willingness to exert effort without the pressure of achieving a goal. Nurses who have high work motivation are ready to display their best energy and utilize their specialized skills while working, without the burden of feeling depressed or mentally exhausted. The workload is closely related to motivation because the source of mental workloads, such as long working hours, the possibility of working night shifts, a lack of appreciation, and the imbalance of nursing personnel can cause a nurse to lack motivation.42

Conflict of interests

The authors declare no conflict of interest.

Acknowledgment

This work is supported by Hibah PITTA 2018 funded DRPM Universitas Indonesia No. 1852/UN2.R3.1/HKP.05.00/2018.

References
[1]
A.P. de Brito, E.d.B. Guirardello.
Nursing workload in an inpatient unit.
Rev Lat Am Enfermagem, 19 (2011), pp. 1139-1145
[2]
R.P. Lephalala, V.J. Ehlers, M.J. Oosthuizen.
Factors influencing nurses’ job satisfaction in selected private hospitals in England.
Curationis, 31 (2008), pp. 60-69
[3]
H. Wu, T.-S. Chi, C. Li, L. Wang, Y.-P. Jin.
Occupational stress among hospital nurses: a cross-sectional survey.
J Adv Nurs, 66 (2010), pp. 627-634
[4]
N. Khamisa, K. Peltzer, D. Ilic, B. Oldenburg.
Effect of personal and work stress on burnout, job satisfaction and general health of hospital nurses in South Africa.
Heal SA Gesondheid, 22 (2017), pp. 252-258
[5]
R.T.S. Hariyati.
Perencanaan, pengembangan dan utilisasi tenaga keperawatan.
1st ed., Rajawali Pers, (2014), pp. 142-149
[6]
J.H. Kang, C.W. Kim, S.Y. Lee.
Nurse-perceived patient adverse events depend on nursing workload.
Osong Public Heal Res Perspect, 7 (2016), pp. 56-62
[7]
S. Mirzaee, Z. Zamanian, J.H. Zade.
Effects of work shifts and mental workload on chronic fatigue among female nurses in intensive care units.
J Heal Sci Surveill Syst, 3 (2015), pp. 113-118
[8]
A.S. Mediawati, E. Nurachmah, M. Mansyur, T. Eryando.
Pengembangan alat ukur beban kerja mental perawat dalam interaksi asuhan keperawatan.
J Persat Perawat Nas Indones, 1 (2016), pp. 110-126
[9]
M. Momennsaab, F. Karimi, F. Dehghanrad, L. Zarshenas.
Evaluation of nursing workload and efficiency of staff allocation in a trauma intensive care unit.
Trauma Mon, 22 (2017), pp. 1-15
[10]
C.R. Sousa, L.A. Gonçalves, M.C. Toffoleto, K. Leão, K.G. Padilha.
Predictors of nursing workload in elderly patients admitted to intensive care units.
Rev Lat Am Enferm, 16 (2008), pp. 218-223
[11]
V. Sarsangi, H. Salehiniya, M. Hannani, M.A. Marzaleh, Y.S. Abadi, F. Honarjoo, et al.
Assessment of workload effect on nursing occupational accidents in public hospitals of Kashan, Iran.
Biomed Res Ther, 4 (2017), pp. 1527
[12]
L. Fagerström, P. Vainikainen.
Nurses’ experiences of nonpatient factors that affect nursing workload: a study of the PAONCIL instrument's nonpatient factors.
Nurs Res Pract, 2014 (2014), pp. 1-9
[13]
F. Herzberg.
Frederick herzberg the hygiene motivation theory.
Chart Manag Inst, (2000), pp. 1-4
[14]
S. Manurung, A.Y.S. Hamid, T. Eryando.
Hubungan karakteristik individu perawat dan organisasi dengan penerapan komunikasi terapeutik di ruang rawat inap perjan RS Persahabatan Jakarta.
Universitas Indonesia, (2003),
[15]
F.P. Morgeson, S. Humphrey.
The Work Design Questionnaire (WDQ): developing and validating a comprehensive measure for assessing job design and the nature of work.
J Appl Psychol, 91 (2015), pp. 1321-1339
[16]
R. Hernández, M.G. Monsiváis, S. Rivera, A. Oviedo.
Factors influencing the missed nursing care in patients from a private hospital.
Rev Lat Am Enfermagem, 25 (2017),
[17]
C. Anugrahini, J. Sahar, Mustikasari.
Kepatuhan perawat menerapkan pedoman patient safety berdasarkan faktor individu dan organisasi.
J Keperawatan Indones, 13 (2010), pp. 139-144
[18]
E. Darvishi, M. Meimanatabadi.
The rate of subjective mental workload and its correlation with musculoskeletal disorders in Bank Staff in Kurdistan, Iran.
Proc Manuf, 3 (2015), pp. 37-42
[19]
A.S. Thulth, S. Sayej.
Selected organizational factors affecting performance of professional nurses in North West Bank Governmental Hospitals.
J Educ Pract, 6 (2015), pp. 100-110
[20]
S.P. Robbins, T.A. Judge.
Organizational behavior.
15th ed., Pearson Education Inc., (2017), pp. 676
[21]
Soep.
Stres kerja perawat berdasarkan karakteristik organisasi di rumah sakit.
J Keperawatan Indones, 15 (2012), pp. 67-74
[22]
M. Mohammadi, A. Mazloumi, Z. Kazemi, H. Zeraati.
Evaluation of mental workload among ICU ward's nurses.
Tabriz Univ Med Sci, 5 (2015), pp. 280-287
[23]
T. Shafaghat, Z. Kavosi.
Studying the status of job burnout and its relationship with demographic characteristics of nurses in Shiraz Nemazee Hospital.
Hosp Pract Res J, 1 (2016), pp. 9-13
[24]
Y.-X. Fang.
Burnout and work-family conflict among nurses during the preparation for reevaluation of a grade A tertiary hospital.
Chinese Nurs Res, 4 (2017), pp. 51-55
[25]
E. Trisnawati.
Kualitas tidur, status gizi, dan kelelahan kerja pada pekerja wanita dengan peran ganda.
Prosiding Seminar Nasional Kesehatan, pp. 1-16
[26]
S. Safari, J. Akbari, M. Kazemi, M.A. Mououdi, B. Mahaki.
Personnel's health surveillance at work: effect of age, body mass index, and shift work on mental workload and work ability index.
J Environ Public Health, (2013), pp. 1-6
[27]
N.B. Astriana, A.I. Sidin.
Hubungan Pendidikan Masa Kerja dan Beban Kerja dengan Keselamatan Pasien RSUD Haji Makassar.
Manajemen RS FKM UNHAS, 1 (2014), pp. 1-8
[28]
T. Afriani, R.T.S. Hariyati, D. Gayatri.
Dukungan Atasan Dan Teman Sejawat Memengaruhi Ekspektasi Perawat Dalam Penerapan Jenjang Karir.
J Keperawatan Indones, 20 (2017), pp. 75
[29]
J. Umansky.
Workload in nursing: a descriptive study using cognitive work analysis.
Rochester Institute of Technology, (2015),
[30]
N.S. Pusparini.
Analisis pengaruh pelatihan keperawatan terhadap kinerja pegawai bidang keperawatan Rumah Sakit Umum Daerah (RSUD) Pasar Rebo.
J Ilmu Pertan Bogor, (2014),
[31]
M. Macphee, V.S. Dahinten, F. Havaei.
The impact of heavy perceived nurse workloads on patient and nurse outcomes.
J Adm Sci, 7 (2017), pp. 1-17
[32]
N. Sutarni, R. Sitorus, S.P. Hastono.
Hubungan beban kerja dengan kepuasan perawat pelaksana di instalasi rawat inap rumah sakit kanker dharmais Jakarta.
University of Indonesia, (2008),
[33]
M. Gouzou, M. Karanikola, C. Lemonidou, E. Papathanassoglou, M. Giannakopoulou.
Measuring professional satisfaction and nursing workload among nursing staff at a Greek coronary care unit.
J Sch Nurs USP, 49 (2015), pp. 15-21
[34]
Ratanto, Mustikasari, Kuntarti.
Pengembangan karier sebagai faktor paling mempengaruhi kinerja perawat pelaksana.
J Keperawatan Indones, 16 (2013), pp. 114-119
[35]
M. Ramli, Indar, Masni.
Hubungan karakteristik individu dan beban kerja dengan kinerja perawat di ruang instalasi rawat inap RSU Haji Makassar.
J MKMI, 6 (2010), pp. 227-234
[36]
I. Inayah, B.A. Keliat, D. Gayatri.
Motivasi kerja meningkatkan manajemen waktu perawat.
J Keperawatan Indones, 14 (2011), pp. 89-94
[37]
A. Sevillano-Jiménez, M. Romero-Saldana, G. Molina-Recio.
Nursing role on rapid recovery programmes fast-track.
Enfermería Clínica (English Edition), 28 (2018), pp. 266-273
[38]
Y. Zahara, R. Sitorus, L. Sabri.
Faktor-faktor motivasi kerja: Supervisi, penghasilan, dan hubungan Interpersonal mempengaruhi kinerja perawat pelaksana.
J Keperawatan Indones, 14 (2011), pp. 73-82
[39]
B.L. Marquis, C.J. Huston.
Leadership roles and management functions in nursing: theory and application.
8th ed., Wolters Kluwer Health, Lippincott Williams & Willkins, (2015),
[40]
V.D. Batson, L.H. Yoder.
Managerial coaching: a concept analysis.
J Adv Nurs, 68 (2012), pp. 1658-1669
[41]
O.P. John, R.W. Robins, L.A. Pervin.
Handbook of personality: theory and research.
3rd ed., The Guilford Press, (2008),
[42]
L.M.H. Siswanto, R.T.S. Hariyati, Sukihananto.
Faktor-faktor yang berhubungan dengan kelengkapan pendokumentasian asuhan keperawatan.
J Keperawatan Indones, 16 (2013), pp. 77-84

Peer-review under responsibility of the scientific committee of the Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia. Full-text and the content of it is under responsibility of authors of the article.

Copyright © 2019. Elsevier España, S.L.U.. All rights reserved
Opciones de artículo
Herramientas
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

Quizás le interese:
10.1016/j.enfcli.2019.04.078
No mostrar más