Document Type : Original articles
Authors
1 B.Sc. Nursing, Minia University, Egypt
2 Professor of Nursing Administration, Faculty of Nursing, Minia University, Egypt
3 Lecturer of Nursing Administration Department, Faculty of Nursing, Minia University, Egypt
Abstract
Highlights
Zeinab Taha Mohammed Atta1, Saher Ahmed Abood2, Rasha Mohammed Nagib Ali3
1) B.Sc. Nursing, Minia University, Egypt.
2) Professor of Nursing Administration, Faculty of Nursing, Minia University, Egypt.
3) Lecturer of Nursing Administration Department, Faculty of Nursing, Minia University, Egypt.
Keywords
Introduction
The performance of nurses is always under scrutiny; this is because nurses perform delicate work that is related to the well-being of human. Nurses are care givers for patient care whether it is at home, hospital, care centers, or anywhere; and giving care is a job that has to be done thoroughly and properly because if not it may cost someone’s life. Therefore, the performance of nurses is an important aspect of making sure that people receive quality service and receive it promptly when this service is required. The performance of nurses differs from one area to another depending on the kind of resources and professional advancement facilities availability (1).
It is necessary to improve the level of performance for first-line health workers or those who are continuously in contact with the clients, community and patients at all levels of health care. The performance of a health organization depends on the knowledge, skills, and motivation of individuals. Thus, it is important for employers to provide suitable working conditions to ensure that the performance of employees meets the desired standards. It is widely acknowledged that health workers are not producing the desired output of health interventions (2).
Job performance is considered as the measurement of the quality and quantity of human capital which was held by the organization; where there is signification due to the reflection to government performance(3). Monil, (2011)(4)defined performance as a completion in a productivity of system in the form of service or good.
Perception is the process, which attributes meaning to incoming stimuli through the human senses; it constitutes of two factors, the stimuli and the individual factors. Knowledge of the perceptual process is essential since the manner in which users of a product and service interpret the information that is affected by their cognitive understanding in which they have established in their minds (5).
The issue of employees' performance in relation to achieving organizational goals has occupied management's attention for a long time. Differences in levels of employees' performance are attributed to differences in skill and ability in one part and difference levels of motivation in another. Inadequate skills and ability are usually rectified through training and development (6).
Job performance is affected by many situational factors such as environmental characteristics, entrepreneurship dimensions, organization itself, coworkers, and internal factors. Internal factors refer to factors such as personality traits, attitudes, needs, preferences, motivations, entrepreneurship dimensions, and beliefs that motivate them to reacts to situational factors. Also job performance might be affected by other factors such as need to achievement, span of control, self-confidence, capacity, and interaction between these factors (7).
Significance of the study
Health care delivery is highly labor-intensive field. The quality, efficiency and equity of services are all dependent on the availability of skillful, competent and motivated health professionals when and where they are needed. There is a growing concern about the poor quality of health services rendered to the population. Also nursing staff is the largest personnel component in the public health sector and are deployed at all levels of the health care delivery system. This study is important because there is a little research that has been documented in Minia government concerning the perceived factors that influence nursing staff performance.
There was a study conducted at Cairo University by Abdelmaksoud, et al., (2017)(8)who found, that nurses perception about factors affecting on their performance were mostly for staff development factor (63.7%) and motivational factor (49.1%). While Njambi(2014)(9)found in his study at University of Nairobi that perceived management style has low levels of influence employees' performance.
Aim of the study:
The aim of the study is to identify nursing staff perception regarding factors influencing their performance at Minia General Hospital.
Subjects and Methods
Research design
A descriptive research design was utilized in this study.
Research question
What are factors influencing performance of nursing staff?
Setting:
The study was conduct at all departments of Minia General Hospital in Minia city.
Subjects:
The subjects of study sample was included all nursing staffs who working at Minia General Hospital during the period of data collection, the total number was (N=251)
Tool of the study:-
One tool was used to collect the data of this study which consisted of two parts as follow:-
Part I: personal data sheet
It was used to collect personal data about the study participants. It included data as age, gender, Educational qualification, years of experience, and name of clinical department.
Part II: Factors Influencing Employee Performance Questionnaire: This part was developed by Kothari (2004)(10), and included (25items) divided into 4 dimensions as follows: Rewards Effect (8 items),Job design influence, (5 items), Training and development opportunities (5 items), and Management style (7 items).Each statement was measured by three point Likert scale ranging as (1=Small extent, 2=Moderate extent, and3= Great extent).
The researcher added some factors that could influence the performance of nurses based on the jury modification and this included: organization policies (10 items) which developed by Zinbarg (2005)(11), work environment and supplies (8 items) developed by Hicks& Adams (2003)(12), and work relations (6 items) developed by Ikramullah Shad’s (2007)(13). Each of these statements were measured by three point Likert scale ranging as (1 = Disagree, 2 = uncertain, 3 = agree). Thus, the final tool included 49 items divided into 7 dimensions
The scoring system of total performance factors was ranged from 49 to 147distributed as follows:
Validity of Tool:
The tool was tested for the content validity by a jury of 5 experts in the field of nursing administration; two assistants' professors of nursing administration at faculty of nursing, Minia University; and three assistant professors of nursing administration at faculty of nursing, Assuit University. The necessary modifications were done for their content coverage, clarity, wording length, format, and overall appearance.
Reliability of Tool:
Internal consistency the questionnaires was assessed with the Cronbach's alpha coefficient. Cronbach's alpha coefficient of 0.00 indicates no reliability and a coefficient of 1.00 indicates perfect reliability. The tool was tested for its reliability using Cronbach's alpha test. The alpha coefficients for the seven dimensions for this study were: rewards Effect (α= 0.736), job design influence (α= 0.683), training and development opportunities (α= 0.957), management style (α= 0.857), organization policies (α= 0.740), work environment and supplies (α= 0.699) and work relations (α= 0.706); and the Alpha coefficient for the tool was (0.954).
Procedures
Ethical Considerations:
Statistical design
Upon completion of data collection, the data were scored, tabulated and analyzed through data entry and analysis by computer using the "statistical package for Social Sciences" version 21 to analyze. Data were presented using descriptive statics in the form of percentages, frequency, mean and standard deviation. Inferential statistical testes of significance such as Friedman's ANOVA, Pearson correlation, and independent t-test were used to identify group differences and the relations among the study variables. The p value >0.05indicates non-significant result while. The p value 0.05indicates significant result and is highly significant at (p<0.01) level.
Results
Table (1) Percentage distribution of the personal data of nursing staff (N=251)
Personal data |
Staff nurses (n=251) |
|
No |
% |
|
Age |
||
|
148 |
59 |
|
44 |
17.5 |
|
59 |
23.5 |
Mean +SD33.04+ 10.49 |
||
Sex |
||
|
49 |
19.5 |
|
202 |
80.5 |
Qualifications in nursing |
||
|
103 |
41 |
|
87 |
34.7 |
|
61 |
24. |
Years of Experience |
||
|
153 |
61 |
|
46 |
18.3 |
|
37 |
14.7 |
|
15 |
6 |
Figure (1) Nursing staff classification according to their working departments
The table (1) shows that, more than half (59%) of staff nurse age was ranged from (20-30) years old and about (23.5%) was aged (> 42) years with mean age (33.04+10.49); and the majority (80.5%) of them were females. In addition the table reveals regarding to the qualification that more than one third of staff nurses (41%) have Diploma degree, while (24%)have Bachelor degree; concerning the years of experience among staff nurses it was noted that nearly two thirds (61%) of staff nurse had (1-10)years of experience, while the only (6%) of staff nurse had(>33) years of experience.
Figure (1) shows distribution of nursing staff according to clinical departments there were (16.7%) in surgical unit,(6%)in maternity unit,(3.2%)in pediatric unit,(10.4%) in out-patient unit, (3.6%) in medical unit, (13.9%) in critical intensive care, (5.2%) in operation room, (11.6%) in hemodialysis unit, (16.7%) in NICU, (4%) in orthopedic unit and (8.8%) in emergency room.
Table (2) Mean scores of staff nurses perception as regard to factor influencing performance
NO |
Factor influencing performance |
Staff nurses perception (n= 251) |
|||
Mean+SD |
Min |
Max |
Ranking |
||
1 |
Reward effect |
12.95+4.32 |
8 |
24 |
3 |
2 |
Job design influence |
10.15+3.14 |
5 |
15 |
6 |
3 |
Training and development opportunities |
9.84+3.11 |
5 |
15 |
7 |
4 |
Management style |
11.55+4.00 |
7 |
21 |
4 |
5 |
Organization policies |
21.79+3.08 |
14 |
28 |
1 |
6 |
Work environment and supplies |
13.63+1.81 |
10 |
20 |
2 |
7 |
Work relation |
10.67+2.21 |
6 |
17 |
5 |
Table (2) indicates that the highest mean score is for organization policies(21.79+3.08)and lowest mean score was for training and development opportunities(9.84+3.11). the same table revealed that, The maximum number was for organization policies factor (28);while the minimum number were for job design influence and training, and development opportunities factor(5).Moreover, the nursing staff perceived the most factors influencing on their performance according to their perception was “organization policies(1), work environment and supplies(2), reward effect(3), management style(4), work relation(5), job design influence(6) and training and development opportunities(7) respectively.
Table (3): Levels of staff nurses perception total scores regarding to factors influencing their performance (N=251)
NO
|
Dimensions |
Levels of Staff Nurses Perception |
|||||
Low |
Moderate |
High |
|||||
N |
% |
N |
% |
N |
% |
||
1 |
Reward effect |
164 |
65.3 |
64 |
25.5 |
23 |
9.2 |
2 |
Job design influence |
81 |
32.3 |
99 |
39.4 |
71 |
28.3 |
3 |
Training and development opportunities |
94 |
37.5 |
88 |
35.1 |
69 |
27.5 |
4 |
Management style |
153 |
61.0 |
69 |
27.5 |
29 |
11.6 |
5 |
Organization policies |
14 |
5.6 |
149 |
59.4 |
88 |
35.1 |
6 |
Work environment and supplies |
128 |
51.0 |
122 |
48.6 |
1 |
0.4 |
7 |
Work relation |
99 |
39.4 |
150 |
59.8 |
2 |
0.8 |
8 |
Total factors dimensions |
60 |
23.9 |
180 |
71.7 |
11 |
4.4 |
Table (3) indicates that two thirds (71.7%) of staff nurse had moderate level of perception, (23.9%) of staff nurse had low level of perception; while only (4.4%) of staff nurse had high level of perception regarding the total score of factors that influencing nurses' performance. In addition, it was noted that the most factors had highest level perception was for organization policies (35.1%), followed by ''job design influence'' (28.3%), then ''training and development opportunities'' (27.5%). while the most factors had lowest level of perception was ''reward effect'' (65.3%), followed by ''management style'' (61%), then ''work environment and supplies'' (51%).
Table (4) the correlation between the factors influencing performance dimensionsand personal data (N=251)
Variable |
Job design |
Reward effect |
training |
Management style |
organization policies |
workplace environment |
Work relation |
|
Age |
R P |
.174** .006 |
.129* .042 |
.265** .000 |
.091 .151 |
.103 .104 |
.061 .339 |
.155* .014 |
Gender |
R P |
.089- .159 |
.069- .275 |
.034- .590 |
.114- .073 |
.055- .386 |
.292** .000 |
.000 1.00 |
Educational qualification |
R P |
.055- .385 |
.072- .253 |
.174-** .006 |
.050- .429 |
.143-* .023 |
.065- .309 |
.271-** .000 |
Experience |
R P |
.156** .013 |
.106 .095 |
.253** .006 |
.071 .265 |
.099 .119 |
.055 .386 |
.164** .009 |
Department |
R P |
.169-** .007 |
.249-** .000 |
.210-** .001 |
.240-** .000 |
.142-* .024 |
.247-** .000 |
.203-** .001 |
The table (4) shows that there were statistically significant correlations between age and factors influence performance in favor to ''job design'' (R=0.174,p=0.006), ''reward effect'' (R=0.129,p=0.042), ''training'' (R=0.265,p=0.000), and ''work relation'' (R=0.155,p=0.014). The gender had no statistically significant correlations with factors influence performance except for factor '' workplace environment'' (R=0.292,p=0.000). In relation to educational qualifications, it was found that there were statistically significant negative correlations with factors influence performance in favor to ''training'' (R=0.174-,p=0.006), ''organization policies'' (R=0.143-,p=0.023) and ''work relation'' (R=0.271-,p=0.000).
Regarding to years of experiences, it was observed that there were statistically significant positive correlations with factors influence performance in favor to ''job design'' (R=0.156,p=0.013), ''training'' (R=0.253,p=0.006), and ''work relation'' (R=0.146,p=0.009).In relation to department, it was found that there were statistically significant negative correlations with all factors influence performance.
Discussion
Nurses constitute the largest human resource element in healthcare organizations and their performances are critical for the successful provision of health care which have a direct effect on health care productivity. There are several factors affect the nurses’ performance level. Job satisfaction, organizational commitment, level of education, experience, nurses’ morale, work-related stress & burnout, support from co-workers, supportive supervision& feedback, training on clinical tools, recognition, job expectations, work environment, motivation, incentives, knowledge, skills, promotion, remuneration and competency level are among the numerous factors affecting nurses performance level(14).
In this study, regarding to personal data of the nursing staff, it was noted that the high percentage of nursing staff was female in all departments. This results might be the nearest to the fact that the majority of nurses who worked at the hospital were females and society's view about nursing profession considered it appropriate to females more males. This was supported by Ross (2017)(15)who told that Florence Nightingale’s perception and feminization of nursing into a female only profession has resulted in fewer men worked as nurses, they represent only 10% of nursing professionals.
The study revealed that more than one third of staff nurses qualification was Diploma degree. As the majority of high qualified nurses with Bachelor degree work as supervisors and few of them work as nursing staff. This result is consistent with Omar, et al., (2018) (16)who assessed quality of working life and job stress of nurses in the critical care unit in health insurance hospital in Minia city, found that more than one third of the study subjects were diploma nurses who graduated from the secondary technical schools. Also this is supported by Negussie,(2010)(17)who found in his study that the majority of nurses highest qualification percent is Diploma in nursing while fewer nurses have Bachelor degree in nursing.
The current study revealed that more than half of staff nurse had(1-10) years of experience. This result was consistent with Omar, et al., (2018)(16)who mentioned that more than half of staff nurse had (1-10) years of experience in nursing field. This result indicated that, they were newly experienced and need training programs to continually upgrade their knowledge and practices. As Regards to area of work, the study cover 11 different area of work with different percentage staff nurses which include Surgical unit (16.7%), Nicu(16.7%), Critical intensive care(13.9%), Hemodialysis unit(11.6%), Out-patient unit (10.4%), Emergency room(8.8), Maternity unit (6%), Operation room(5.2%), Medical unit (3.6%), Orthopedic unit (4%), Pediatric unit (3.2%).
Regarding staff nurses perception to the factors influencing performance, the current study indicated that the staff nurse perceive that the ''organization policies factor'' which related to the general policies of Ministry of Health was the first and most influential factor affecting their performance with highest mean score among the other factors. The interpretation for this result may be due to that Minia General hospital managers pay more attention to their health care providers; in which staff had more continuous training about the hospital policies in their work areas which reflected on their performance and improve it.
This result in the same line with Abdelmaksoud, et al., (2017)(8)assessed nursing staff ' perception regarding factors affecting their performance which conducted in three governmental hospitals affiliated to Ministry of Health in Egypt; they reported that hospital policies is the 1st ranking of the availability of factors affecting nurses’ performance according to mean percent of their perception.
The second factor influencing nursing staff performance according to the current study was work environment and supplies. This result was agreed with Safei and Haryanti, (2011) (18)who measured factors affecting nursing work performance in inpatient unit of RSUD kotaTanjung Pinang; and reported that 89.0% of studied nurses determined the environment and tools as a high factor affecting on their performance. In additional Kamati et al., (2014) (19)evaluated the factors influencing the performance of registered nurses at the national referral hospital in Namibia; and reported that more than 70% of the RNs cited that the hospital does not have adequate equipment and resources that enable them to efficiently execute their duties.
The last factor was training and development opportunities which considered as important contributing factor influence nursing staff performance. This result may be due to the hospital management didn’t develop appropriate plans for training and development of their staff to have more effective performance. Also, the hospital did not specify an appropriate time for training staff; and nursing staff was not releasing from their work to attend the training.
This result is contradicted with Abdelmaksoud, et al., (2017)(8)who mentioned that training and development opportunities isthe 2nd ranking factor affecting nurses’ performance according to mean percent of their perception. This difference in this result may be due to about one third of the Abdelmaksoud, et al., (2017)(8) studied sample had baccalaureate and master degree. Also Njambi,(2014)(9) clarified in his study that his organization was undertaking training and development of employees seriously as this affects the performance of employees.
Furthermore, it was observed from the current study that more than two thirds of staff nurse respondents had “moderate level” of perception about all factors influence on their performance; less than one quarter of respondents had low level of perception about nursing staff performance; and only (4.4%) of respondents had high level of perception regarding to all factors that influencing nurses performance. In addition, the lowest level of perception was for reward effect, the most moderate level of perception was for work relation and the highest level perception was for organization policies.
In the opposite Kuria,(2015) (20)found in his study that about 57.8% of the respondents agreed that rate of reward was a perceived factor that enhanced the level of satisfaction; in which rewarding employees leads to improved employee’s performance. Also Abdelmaksoud, et al., (2017)(8)in their study revealed that, the nurses perceived that motivation factor was the most factors affecting on their performance (95.71 %).While the least factor affecting on nurses performance was hospital policies (81.68%).
Also, current study showed that there was statistically significant correlation between reward effect and age variable. Also it was noted that there was highly statistically significant negative correlation between reward effect and department. In the same line Tabeel,(2014)(21)concluded that there were statistically significant differences relationship between motivation (reward factors) and nurses performance in Governmental Hospitals, attributed to the workplace. But his result was contradicted with the current result as he found that there were no statistically significant differences relationship between motivation and nurses' performance attributed to age.
The current study revealed that, there were highly statistically significant positive correlations found between job design and age, as well as years of experience; while departments variable had highly statistically significant with negatively correlation. This result not congruent with Mohamed and Morsy,(2016)(22)who found in their study about work design characteristics as perceived by nurse managers at Assiut university hospital that task characteristics had weak negative statistically significant correlations with age (r=-0.019), department (r = -0.223)and with years of experience ( r=-0.208).
Furthermore, the current study revealed that there were highly positive statistically significant correlation between age and year of experience from personal data variable with training factor. And highly negative statistically significant correlation between training factor with variables of qualification and department. The current study indicated that there was highly statistically significant with negative correlation between department variable and management style. These findings were consistent with Adly et al.,(2019)(23)who found in their study that there were significant differences between each of leadership styles and staff nurse areas of work. While there weren't statistically significant difference between leadership styles and staff nurses age and gender.
In the opposite Abd-Elrhaman and Abd-Allah,(2018)(24) found in their study that there was positive statistical significant correlation between years of experience and educational level for head nurses transformational leadership style and staff nurses' job performance, and there was negative correlation between age and staff nurses job performance.
Furthermore, the current study showed that there were negative statistically significant correlation between qualification and department from personal data variable and organization policies factor. The interpretation for this result may be due to the Minia General Hospital establishes policies for each department which related to the policies of the Ministry of Health in the field of quality management and infection control. The hospital administrators are responsible for training the health care providers including physicians and nurses on these policies to improve their performance in the provision of health care. So the relation between the department variable and organization policies was significant.
The current study revealed that workplace environment and supplies factor had highly statistically significant correlation with gender variable and highly statistically significant negative correlation with department. In the same line Er and Sokmen(2018)(25) found in their study that there were statistically significant differences between the overall mean scores of the nurses pertaining to their assessments and the adequacy of materials and equipment needed for their practice in the work environment; in which having an appropriate environment and presence of quality initiatives in their hospital can help nurses to provide safe care to patients in their unit/clinic.
The current study showed correlation between personal data variables and work relation factor, which revealed that qualification and department variable had highly negative statistically significant correlation; while years of experience and age variable had positive correlation. In the same line Al-Khozondar, (2015)(26) showed that there were relations between personal characteristics and employee relationship management components (communication); also, there was significant difference among the respondents toward communication due to age and insignificant difference among the respondents toward communication due to gender. While she did not agree with the current result as she found insignificant difference among the respondents toward communication field due to educational degree and years of experience. The personal characteristics’ educational degree and years of experience had no effect on employee relationship management components (communication).
Conclusion
Based on the findings of the current study, the following recommendations are suggested.