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Abstract

Nurses experience high levels of stress as they deal with the patients having complex health care problems. Stress in nursing affects the practice of nursing profession worldwide. In response to this, the investigators explored the sources of work-related stress (WRS) among Omani Nurses. Samples were selected through proportionate population sampling from 5 selected tertiary care hospitals. Data were collected through self-administered nursing stress scale (NSS). The study included 383 Omani nurses. Descriptive and inferential statistics were used to analyze the data. The sources of WRS among nurses showed the percentage mean scores ranging from 8.5% to 21%. The overall mean score for the NSS was 42.85 ± 17.705. Out of 7 subscales, the highest level of WRS was on workload with a mean score of 8.99 (21%) followed by emotional issues related to death and dying 8.72 (20.4%). The lowest mean score was seen on the lack of support 3.65 (8.5%) and inadequate preparation to meet the emotional demands of patients and their families 3.86 (9%) of the total mean. WRS was associated with the nursing position as staff nurses, performing night shift and reduced job satisfaction. The study's results may help in developing human resource strategies aimed at minimizing nurses’ stress and improving quality of health care and task force performance.

Keywords

Introduction

Nurses encompass the largest workforce and play an important role in the provision of direct patient care.¹ Additionally, nurses play a significant intermediary role between the patient and the physician.² In addition to providing direct patient care and dealing with the human suffering daily, nurses are expected to meet multiple and conflicting demands imposed by nurse managers, supervisors, medical and other administrative staff in the hospital. These lead the nurses to experience stress, role conflict and workload, which seriously impairs the efficacy of delivery of quality healthcare service.³

Over the past decade, nurses have regularly been reported to experience highest job stress regardless of their specialty.⁴ Earlier studies indicate that work-related stress (WRS) is particularly prominent among nurses.⁵ WRS is the physical and emotional reactions that occur due to encounters between a nurse and their work environment when job demand exceeds the nurse's expertise and resources.⁶ As nurses play a critical and most extensive role in providing holistic patient care and deal with the patients having acute and chronic illness with disability and discomfort from birth to death, there is no surprise that nursing has been unfailingly known globally as stressful work.⁷

Considerable (9.20%-68.0%) percentage of nurses worldwide suffer from stress; in particular, 20% to 40% of nurses suffer from WRS.⁸ Irrespective of countries they work, nurses experience WRS across the world. In nurses from 41 hospitals in Shanghai, China, 74.8% of nurses suffer from WRS.⁹ Almost three-quarter of nurses in Australia reported “extremely high” or “quite high” level of stress.¹⁰ In India, 87.6% of nurse's experience stress, with 2.1% reporting severe stress.¹¹ In Dubai, 95% of nurses experienced varying degrees of stress and 86% of them were less than 36 years.¹² While in Oman, no studies have reported about the WRS among nurses.

WRS can be caused due to physical, social, and psychological sources either related to the environment or workplace. Firstly, the physical stressors are associated with complexity of highly interactive medical technology. In addition, due to understaffing and escalating healthcare costs, the number of nurses available has decreased which increases their workload. Secondly, nurses’ psychological sources of WRS are related to higher demands for nursing care by patients and families.¹³ The social sources of nurses’ WRS include lack of good relationships with peers, superiors, and colleagues, resulting in low productivity and low risk solving interests.¹⁴

In Sultanate of Oman, nurses account for the highest proportion in the healthcare sector and they serve in a variety of settings. With a growing population and ongoing healthcare needs, nursing sector suffer from a shortage.¹⁵ Additionally, nurses in Oman experience 10% of work load pressure and spent 9% and 33% variation in the proportion of time in support activities.¹⁶ Moreover, due to Omanization, non-Omani nurses started leaving the country, leaving the Omani healthcare system difficult in finding replacement. Therefore, Omani nurses encounter increased workload, which may negatively affect the healthcare quality.¹⁷ Moreover, nurses working especially in Omani tertiary care hospitals face more challenges due to overcrowding. Furthermore, nurses in Oman feel that staffing shortages, heavy workloads, lack of job choice, and difficulty meeting family obligations negatively influence their professional lives. In some hospitals, nurses have no formalized job descriptions and are assigned tasks that have nothing to do with nursing, such as dispensing medication after midnight in the pharmacy and performing online statistical reports.¹⁸

In the personal experience, the principal investigator noticed that the shift schedules for most of the nurses are determined by factors like demand and location, rather than by personal preference. Moreover, the nursing schedule for each ward is typically developed by the ward's charge nurse and is in accordance with the hospital policy. Omani nurses often work 8- or 12-h shifts, spreading their full-time schedule over 5 days. Because of the shift work required by nurses, they often miss important family and religious celebrations. This is believed to increase the WRS among Omani nurses.

Although a great deal of research has been done on stress among nurses internationally, to the best of our knowledge, no research has been done and published about WRS among nurses in Oman. Given that the international hospital settings and the provision of health services are different than those in Oman, it would not be appropriate to use the results of previous international studies to explain the WRS among Omani nurses. Therefore, the authors explored the source of WRS among Omani nurses.

Materials and Methods

Study Design

This study used a descriptive cross-sectional design.

Setting

The study was conducted in Sultan Qaboos University Hospital (SQUH), Royal hospital (RH), Armed Forces hospital (AFH), Khoula hospital (KH), and Al-Nadha Hospital, Muscat, Sultanate of Oman. All these 5 hospitals were tertiary care public hospitals extending health care services to people from various governorates of Oman. The number of Omani nurses working in SQUH were 490, AFH (484), RH (787), KH (486), and Al-Nadha hospital (258), respectively.

Sample Size

The sample size for this study was estimated using the preceding sample size formula as 383. n = (nf * N in a health facility)/N total, where n = number of potential participants in a given public hospital, nf = final sample size obtained using the Cochrane formula. N = the total number of potential participants in the government tertiary hospitals (2505). Therefore, the proportion for SQUH was calculated as; n = (nf * N in a health facilities)/N total n = (490*380)/2505, making n = 75; RH had 787 nurses, contributed to 120 nurses; KH had 486 nurses, contributed to 74 nurses; Al-Nahdha hospital had 258 nurses, contributed to 39 nurses; and lastly AFH had 484 nurses, contributed to 75 nurses. The total sample size for this study was therefore 383 nurses.

Sampling Method

Samples were selected through proportionate population sampling from the selected 5 hospitals. Thereafter, a random number table was used to select the required number of participants from each setting.

Sample Characteristics

Omani registered nurses, working in tertiary governmental hospitals in Muscat City, with at least 1 year of clinical nursing experience, and who were able to speak, write, and read English language were included. If the nurses were suffering from psychological problems like depression, and anxiety-related diseases, and the nurses who were working in COVID-19 departments during the time of data collection or 1 month before data collection were excluded. Additionally, nurses having less than 1 year of experience were excluded as they were considered to be on probation as per the Ministry of Health policy. During this period, they complete the orientation to the unit and formal training program in the hospital. The inclusion and exclusion criteria were mentioned in the first page of the Google form, which allowed the nurses to decide whether they are eligible to participate in answering the Google form.

Instruments Used for Data Collection

A self-administered questionnaire was used in data gathering. The questionnaire had 2 sections, namely, demographic/job-related nurses’ profile and nursing stress scale (NSS).

Demographic/job-related nurses’ profile

This part consisted of 11 questions that tapped information regarding participants’ gender, age, marital status, education level, working institution, working department, working years of experience, nursing position, working in night shift and job satisfaction and thought of changing profession.

Nursing stress scale

NSS was designed to measure the frequency and sources of WRS experienced by nurses. Graft-Toft and Anderson developed this instrument in 1981.¹⁹ This tool is publicly available for use by the researchers. It consisted of 34 items. The type of response ranged from “0” indicating “Never” to “3” showing “Very frequently” according to their perceived occurrence of stress in the workplace. The NSS identified 7 major sources of WRS including death & dying, conflict with doctors, inadequate preparation to deal with the emotional needs of patients and their families, lack of support, conflict with other nurses and supervisors’, and workload and uncertainty concerning treatment.

The NSS comprised of 34 items and the overall level of job-related stress can be calculated by summing all the items. The minimum score is 0 and maximum is 102. The higher score indicates higher level of stress. The scale also contains 7 subscales with percentage mean scores ranging from 8.5% to 21%. The overall mean score for the NSS is 42.85 ± 17.705. The mean score was used to categorize the level of WRS among nurses. Nurses are identified to have low stress if the mean score is less than the overall mean score and high stress if the mean score is equal or greater than the overall mean score. The questionnaire was pilot tested and had a Cronbach's alpha of 0.85.

Ethical Considerations

Ethical approval was sought from the Medical Research Ethics Committee (MREC) of Sultan Qaboos University (SQU-EC/263/2020 dated 08/11/2020), Ministry of Health (MOH/CSR/20/23891 dated 13/10/2020) and Armed Forces Hospital, Sultanate of Oman (AFMS-MREC 024/2020 dated 10/11/2020). The investigators provided sufficient information to the nurses about the purpose of the study and were given the privilege of clarifying their doubts. After assuring the confidentiality, implied consent was obtained. All the study participants were encouraged to participate in the study and were also told that they have the right not to participate. The collected data was stored in a password-protected computer and only the investigators had the access to the data.

Data Collection

Data were collected from October 15, 2020 to November 30, 2020. Data were collected using a Google form prepared by the investigators of the study. Data were transferred to Statistical Package for the Social Sciences (SPSS) version 25.

Data Analysis

Data analysis was conducted using SPSS software program version 25. Categorical sample characteristics were summarized using number and percentages, whereas continuous sample variables were summarized using mean and standard deviation. The association between sample demographic characteristics and the WRS was analyzed using the Chi-square. Independent samples t-test and 1-way analysis of variance were also used to determine the mean difference in the WRS variables across categories of the demographic variables. All statistical tests were 2-tailed and the significance level was set at 0.05.

Results

In our study, 383 subjects participated. Most of the nurses were working at RH (31.3%); majority were from the Medical and Surgical Department (29.8%); most nurses had 1 to 5 years of work experience (43.3%); majority had a bachelor's degree in nursing (59.0%); were aged between 30 and 40 (49.1%); 77.5% were females; 66.3% were married; 61.9% were staff nurses; 73.9% worked in night shifts; 58.0% thought of changing profession, and 55.6% were satisfied with their job (Table 1).

Table 1.

Demographic Variables of Nurses.

Variable	Frequency (%)
Institution
Sultan Qaboos University Hospital	75(19.6)
Alnahdha Hospital	39(10.2)
Armed Forces Hospital AL- Khoudh	75(19.6)
Khoula Hospital	74(19.3)
Royal Hospital (RH)	120(31.3)
Department
Critical care department	84(21.9)
Clinical departments	20(5.2)
Male medical ward	5(1.3)
Maternity and child department	70(18.3)
Medical and surgical department	114(29.8)
Nursing administration	15(3.9)
Oncology department	39(10.2)
Outpatient department	24(6.3)
Psychiatry department	12(3.1)
Educational level
Bachelors	226(59.0)
Diploma	140(36.6)
Masters	17(4.4)
Age range
<30 years	185(48.3)
>40 years	10(2.6)
30-40 years	188(49.1)
Gender
Male	86(22.5)
Female	297(77.5)
Marital status
Single	124(32.4)
Divorced	5(1.3)
Married	254(66.3)
Nursing position
Deputy head nurse	25(6.5)
Head nurse	19(5.0)
Midwife	7(1.8)
Nursing supervisor	10(2.6)
Specialist nurse	32(8.4)
Staff nurse	237(61.9)
Team leader	53(13.8)
Years of experience
1-5 years	166(43.3)
11-15 years	83(21.7)
16 years and above	35(9.1)
6-10 years	99(25.8)
Work night shift
No	100(26.1)
Yes	283(73.9)
Job satisfaction
Dissatisfied	41(10.7)
Neither dissatisfied or satisfied	104(27.2)
Satisfied	213(55.6)
Very dissatisfied	25(6.5)
Thought of changing your profession
No	161(42.0)
Yes	222(58.0)

The sources of WRS among nurses showed the percentage mean scores ranging from 8.5% to 21%. The overall mean score for the NSS was 42.85 ± 17.705. Out of 7 subscales, the highest level of WRS was on workload with a mean score of 8.99 (21%) followed by emotional issues related to death and dying 8.72 (20.4%). The lowest mean score was seen on the lack of support 3.65 (8.5%) and inadequate preparation to meet the emotional demands of patients and their families 3.86 (9%) of the total mean.

On the individual items per subscale I related to death and dying, the most stressful condition was watching a patient suffering (1.75 ± 0.941) followed by performing procedures that patients experience as painful (1.56 ± 0.854) and feeling helpless in case of a patient who fails to improve (1.31 ± 0.867). The least stressful source of stress was physician not being present when a patient die (0.89 ± 0.966).

On conflict with physician's subscale II, the least stressful events were conflict with a physician (1.14 ± 0.902) and disagreement concerning the treatment of a patient (1.15 ± 0.828). However, making a decision concerning a patient when a physician is unavailable was the most stressful event in the subscale-II (1.29 ± 0.904).

Feeling inadequately prepared to help with the emotional needs of a patient (1.23 ± 0.906) was the least stressful event in subscale III; inadequate preparation to meet the emotional demands of the patients and their families is the most stressful event in the subscale III (1.32 ± 0.931) (Table 2).

Table 2.

Items on Conflict With Physicians, Inadequate Preparation to Meet the Emotional Demands of Patients and Their Families and Lack of Support Subscales Respectively (n = 383).

Items	0	1	2	3	Mean	SD
1. Criticism by a physician	101	149	102	31	1.16	0.91
2. Conflict with a physician	98	166	85	34	1.14	0.902
3. Fear of making a mistake in treating a patient	75	156	117	35	1.29	0.885
4. Disagreement concerning the treatment of a patient	87	173	103	20	1.15	0.828
5. Making a decision concerning a patient when a physician is unavailable	83	141	125	34	1.29	0.904
1. Feeling inadequately prepared to help with emotional needs of a patient's family	77	154	105	47	1.32	0.931
2. Being asked a question by a patient for which I do not have a satisfactory answer	66	161	125	31	1.32	0.851
3. Feeling inadequately prepared to help with the emotional needs of a patient	92	142	118	31	1.23	0.906
1. Lack of opportunity to talk openly with other unit personnel about problems in the unit	84	147	114	38	1.28	0.916
2. Lack of opportunity to share experiences and feelings with other personnel in the unit	101	133	118	31	1.21	0.925
3. Lack of opportunity to express to other personnel in the unit my negative feelings toward patients	92	160	106	25	1.17	0.867

0 = Never, 1 = Occasionally, 2 = Frequently, 3 = Very frequently.

In the sub-scale IV lack of support, the least stressful event is lack of opportunity to express to other personnel in the unit about the negative feelings toward patients (1.17 ± 0.867). However, the lack of opportunity to talk openly with other unit personnel about problems in the unit was the most stressful event in subscale IV (1.28 ± 0.916) (Table 2).

Similarly, on conflict with other nurse's/supervisors’ subscale V, the most stressful condition was asked to relieve other units that are short-staffed (1.27 ± 0.902) followed by criticism by a supervisor (1.13 ± 0.921) (Table 3).

Table 3.

Items on Conflict With Other Nurses/Supervisors, Workload and Uncertainty Concerning Treatment Subscales Respectively (n = 383).

Items	1	2	3	4	Mean	SD
1. Conflict with a supervisor	123	143	97	20	1.04	0.885
2. Relieving in other units that are short-staffed	84	147	118	34	1.27	0.902
3. Difficulty in working with a particular nurse outside the unit	123	130	102	28	1.09	0.935
4. Criticism by a supervisor	107	155	87	34	1.13	0.921
5. Difficulty in working with a particular nurse in the unit	98	172	81	32	1.12	0.888
1. Breakdown of computer	129	129	93	32	1.07	0.954
2. Unpredictable staffing and scheduling	65	161	104	53	1.38	0.924
3. Too many non-nursing tasks required, such as clerical work	45	131	124	83	1.64	0.949
4. Not enough time to provide emotional support to a patient	40	140	134	69	1.61	0.9
5. Not enough time to complete all my nursing tasks	37	158	130	58	1.55	0.864
6. Not enough staff to adequately cover unit	30	121	149	83	1.74	0.885
1. Inadequate information from a physician regarding the medical condition of a patient	52	178	122	31	1.34	0.813
2. A physician ordering what appears to be inappropriate treatment for a patient	76	186	95	26	1.19	0.828
3. A physician not being present in a medical emergency	111	161	85	26	1.07	0.884
4. Not knowing what a patient or a patient's family ought to be told about the patient's condition and its treatment	75	179	101	28	1.21	0.841
5. Uncertainty regarding the operation and functioning of specialized equipment	82	185	94	22	1.15	0.818

0 = Never, 1 = Occasionally, 2 = Frequently, 3 = Very frequently.

Not having enough staff to adequately cover unit (1.74 ± 0.885) was the most stressful event in the workload subscale VI followed by the item too many non-nursing tasks required, such as clerical work (1.64 ± 0.949). Finally, inadequate information from a physician regarding the medical condition of a patient (1.34 ± 0.813) was the most stressful situation in the uncertainty concerning treatment subscales VII (Table 3).

Furthermore, Chi-square analysis was done to determine the association between demographic variables and WRS. The analysis showed that nursing position was significantly associated with work stress (X² = 18.297, P = .004) using Fisher's exact test. In addition, working in the night shift was significantly associated with work stress (X² = 14.933, P < .001). Furthermore, job satisfaction was significantly associated with work stress (X² = 8.752, P = .033). The frequency analysis revealed that those dissatisfied with their job are more highly stressed compared to those who are satisfied (Table 4).

Table 4.

Association Between Socio-Demographic Variables and Work-Related Stress Among Nurses.

Variable	Category	Low stress (%)	High stress (%)	X²	P-value
Institution				6.546	.162
	Sultan Qaboos University Hospital (SQUH)	41(54.7)	34(45.3)
	Alnahdha Hospital	23(59.0)	16(41.0)
	Armed Forces Hospital AL- Khoudh	33(44.0)	42(56.0)
	Khoula Hospital	43(58.1)	31(41.9)
	Royal Hospital (RH)	53(44.2)	67(55.8)
Department				8.946	.346
	Critical care department	42(50.0)	42(50.0)
	Clinical departments	10(50.0)	10(50.0)
	Male medical ward	3(60.0)	2(40.0)
	Maternity and child department	32(45.7)	38(54.3)
	Medical and surgical department	57(50.0)	57(50.0)
	Nursing administration	10(66.7)	5(33.3)
	Oncology department	15(38.5)	24(61.5)
	Outpatient department	17(70.8)	7(29.2)
	Psychiatry department	7(58.3)	5(41.7)
Educational level				0.576	.75
	BSN	117(51.8)	109(48.2)
	Diploma	67(47.9)	73(52.1)
	MSN	9(52.9)	8(47.1)
Age range				4.427	.105
	<30 years	84(45.4)	101(54.6)
	>40 years	7(70.0)	3(30.0)
	30-40 years	102(54.3)	86(45.7)
Gender				1.708	.191
	Male	38(44.2)	48(55.8)
	Female	155(52.2)	142(47.8)
Marital status				1.151	.611
	Single	58(46.8)	66(53.2)
	Divorced	3(60.0)	2(40.0)
	Married	132(52.0)	122(48.0)
Nursing position				18.297**	. 004
	Deputy head nurse	16(64.0)	9(36.0)
	Head nurse	13(68.4)	6(31.6)
	Midwife	5(71.4)	2(28.6)
	Nursing supervisor	3(30.0)	7(70.0)
	Specialist nurse	23(71.9)	9(28.1)
	Staff nurse	103(43.5)	134(56.5)
	Team leader	30(56.6)	23(43.4)
Years of experience				2.161	.54
	1-5 years	80(48.2)	86(51.8)
	11-15 years	47(56.6)	36(43.4)
	16 years and above	19(54.3)	16(45.7)
	6-10 years	47(47.5)	52(52.5)
Work night shift				14.933	. 001*
	No	67(67.0)	33(33.0)
	Yes	126(44.5)	157(55.5)
Job satisfaction				8.752	. 033*
	Dissatisfied	12(29.3)	29(70.7)
	Neither dissatisfied or satisfied	55(52.9)	49(47.1)
	Satisfied	111(52.1)	102(47.9)
	Very dissatisfied	15(60.0)	10(40.0)
Thought of changing your profession				0.353	.552
	No	84(52.2)	77(47.8)
	Yes	109(49.1)	113(50.9)

*Significant at P = .05.

**Fishers exact test used.

Discussion

Owing to the taxing nature of the nursing profession, confronting inappropriate communication in the workplace, stressful work environment, and lack of sufficient competency of the individual or colleagues in performing some tasks, nurses feel stressed out with their work on a daily basis. Moreover, nurses continually face patients who are physically and mentally in critical conditions and go through the huge pressure of job responsibilities besides personal obligations.²⁰

WRS in the context of work involves stress related to work organization, career development, and interpersonal relationships while content of work stress include risk factors arising from the work environment and equipment, division of tasks and planning, hours of work and workload.²¹ In our study, it is obvious that workload was the cause for highest level of WRS. This finding corroborated with a study that showed that major stressors are experienced with excessive workload.²² Furthermore, in a study conducted in Jimma Zone, South West Ethiopia, workload was significantly higher in public health hospital.⁶ Another study conducted in 2 specialist hospital in the city of southwest Nigeria²³ and an Italian healthcare company²⁴ showed that workload was a major source of stress.

In our study, we found 2 reasons for increased workload. Firstly, there was not enough staff to adequately cover the unit; secondly, too many non-nursing tasks required, such as clerical work. Similarly, Faremi et al²³ identified too many non-nursing tasks such as clerical work, inadequate staff to cover ward workload, lack of drugs and equipment required for nursing care, and unpredictable staffing and scheduling, as the frequently reported stressful events. Likewise, administrative issues reported were shortage in nursing workforce, inadequate support from nursing supervisors, low salary, and high levels of expectations.²⁵ Nurses are working more than ever before due to increased demand for nurses, an insufficient supply of nurses, reduced staffing, increased overtime and patient length of stay.²⁶

Firstly, the demand for nurses is growing as the population ages, and Oman is undergoing an age-structural transformation towards a greater proportion of older adults (65+). Secondly, the number of nurses are insufficient to satisfy the existing demand. The shortage is expected to worsen when potential demand rises and nursing schools are unable to keep up with the demand for the adequate number of graduate nurses. Thirdly, because of the global economic crisis, Oman tends to reduce the supply of money and work force to health care services. As a result, hospitals cut nursing personnel and mandated overtime to satisfy unusually high demand, dramatically increasing nursing workloads.²⁷ Consequently, nurses now provide care for sicker patients than in the past, and would need a more intensive workload.¹⁴ Therefore, strategies should be designed to minimize the workload of nurses.

In our study, “watching a patient suffering” was the most stressful condition. Additionally, the nurses reported, “performing procedures that the patients experience as painful” and “feeling helpless in case of a patient who fails to improve” as stressful events. This can be explained by the fact that multiple aspects of death anxiety contribute to individuals’ anxiety and stress which affect a person's well-being psychologically, physically, and socially.²⁸ The most common feelings described by nurses in other studies were feelings of inadequacy, incompetence, followed by self-blame as the result of a patient's death.²⁹ In addition, nurses may not have enough time to support one another's emotions in general, and those related to death and dying in particular, because of their increased workload.³⁰

In our study, nurses reported that making a decision concerning a patient when a physician is unavailable as the most stressful event. However, no consistent literature is found to support our study findings. Therefore, we recommend further studies to investigate the availability of a physician while making a patient decision as a predictor for stress among nurses. In general, conflict with physicians is a key cause of stress in nursing which can be managed through integrating, dominance, obliging, avoidance, and compromise.³¹ Therefore, nurses and physicians should understand their roles and work collaboratively.

The most stressful event found in our study is “Inadequate preparation to meet the emotional demands of the patients and their families.” Likewise, another study stated that it is stressful when collectivist beliefs predominate among the patients’ and their families’³² which is difficult to handle. On the contrary, a study conducted among nurses in Hungary, Israel, Italy, United Kingdom, and the United States found that the contact with patients and their families was not a cause of stress among nurses of United States.³³ It may be related to the fact that American nurses are trained to cope with social interactions on the job. Additionally, since the United States is the most individualistic country of the 5 nations, families probably have less influence over individuals’ medical treatment. Therefore, further studies are required to confirm these contradictory study findings.

The lack of opportunity to talk openly with other unit personnel about problems in the unit was the most stressful event in our study. In general, job satisfaction is related to the environment in which the nurse works. The presence of support from colleagues and supervisors is a significant predictor of job satisfaction and it is a major factor responsible for reducing stress. In addition, organizational support is highly essential for the nurses.³⁴ Therefore, support from colleagues, supervisors, and organization is very much needed to reduce the stress among nurses.

Similarly, being asked to relieve other units short-staffed was most stressful. We could not find any supportive literature to support this finding. We recommend studies to explore on this finding. Furthermore, criticism by a supervisor was a stressful factor. Conflict among nurses has been a critical problem in health care settings, which is due to variations in management styles, employee perceptions, personnel shortages, and goal variations and competition among work groups. When the conflict between the nurse supervisor and the nurse is serious and persistent, it might result in unsatisfactory patient care.³⁵ Therefore, it is critical that the nurse supervisors resolve and manage conflict effectively.

Finally, inadequate information from a physician regarding the medical condition of a patient was the most stressful situation in our study. In line with our study findings, another study showed that 49% of nurses had reported the frequent occurrence of stress, 30% experienced occasional occurrence of stress, and 21% had extreme stress due to uncertainty concerning treatment.³⁶ These findings alarm us that the communication between nurses and physicians should be improved to enhance the treatment process, thus the quality of patient care.

In our study, working in the night shift was significantly associated with WRS. Nursing shift work results in highly pressurized work performance and risk for limited job performance, which might also lead to several health issues in nurses.³⁷ Nurses in our study had different shift rotation depending on each hospital regulations and policies. For instance, nurses working in SQUH had 2 shifts, that is, 12 h per shift. The rest of the nurses in other tertiary hospitals works 3 shifts, that is, 8 h per shift. The frequency of shift changes in these hospitals occurs due to daily movements, weekly rotations, or urgent rotations. This could be the reason for the stress among nurses. In consistent with our study results, several studies showed that the nurses working on rotating shifts and night shifts were more likely to experience stress and burnout than those working on fixed shifts.^38–42 Therefore, allowing workers the flexibility of work time will help in reducing stress in employees.⁴³

Furthermore, our study showed that nursing position was significantly associated with WRS. In our study, deputy head nurses, head nurses, midwifes, nursing supervisors, specialist nurses, staff nurses, and team leaders participated. However, more number of staff nurses participated in our study. Consistently, Khaleel et al⁴⁴ informed that the newly employed nurses undergo WRS than the senior nurses, as the new nurses perform too many responsibilities in their duty while the senior nurses perform official and documentary work which is less stressful. However, Ojekou & Dorothy⁴⁵ and Al-Aameri⁴⁶ reported inconsistent findings with the previous 2 study findings. These studies reported that the nurses in the higher positions experience higher levels of stress as they were accountable for more number of subordinates and supervise administrative responsibilities. Therefore, more studies are to be conducted to confirm these conflicting study findings. In addition, higher positions in nursing and its relationship with WRS shall be studied.

Besides, job satisfaction was significantly associated with WRS. Those dissatisfied with their job are highly stressed compared to those who are satisfied. To substantiate our study findings, Dagget et al,⁶ and others^47–50 found job satisfaction as a predictor for WRS among nurses. However, Gulavani³⁶ has reported dissimilar findings whereas job satisfaction was not related to occupational stress. Henceforth, future studies should be done to confirm these different findings.

Finally, among Omani nurses, we observed no correlation between WRS and demographic factors including department, education, age, gender, marital status, or years of employment. This calls for further studies to explore the relationship of these variables with WRS.

Limitations

As we utilized self-reported stress questionnaires, the nurses might have provided subjective measures representing individuals’ perceptions. This might have affected the validity of our study findings. In addition, this study was limited to Omani nurses only. As our study was a cross-sectional study and provided only a snapshot within the study period, longitudinal research can be done to examine whether there is an evidence of WRS changes over time. WRS could have been reported higher during the COVID-19 period, calling for further studies to see the differences in WRS during the non-COVID-19 period. Moreover, since the study's context was tertiary care public hospitals in Muscat city, it would be useful replicating this study in other hospitals including primary, secondary, urban, rural, and private hospitals of the Sultanate of Oman, which might give different results. In addition, this study was limited to Omani nurses only. Therefore, further research is needed to include nurses who are different nationalities, which would give a broader view of the working conditions regardless of nationality.

Conclusion

Omani nurses working in tertiary care hospitals suffer from high levels of workload, which is related to severe shortage in number of nursing staffs and performing non-specified responsibilities. Nursing position, night shift duties, and job satisfaction were statistically significantly associated with WRS.

Recommendations

Since workload was identified as the primary source of WRS, organizational strategies should be attempted to reduce the workload. These interventions could involve recruiting additional registered nurses, which is an obvious way to reduce workload; increasing appointing nurse aids to perform bed linen change, temperature and blood pressure taking; and employing clerical staff to reduce non-nursing activities. We understand that hiring new nurses is not an easy choice in the present economic crisis of the country; however, Omani Ministry of Health shall plan different strategies to minimize the WRS among nurses. Additionally, nursing administrators in all hospitals shall provide a supportive work environment for nurses. In addition, counselling services should be made available for the nurses when they face stressful events. Nurse managers may help nurses cope with stress by establishing effective 2-way communication systems, clarifying role and performance expectations, resolving conflicts practically, developing policies that minimize the stress associated with shift work, establishing support groups for nursing personnel, making psychological counselling accessible and available to the affected nurses, and enhancing observational skills to detect increased stress and burnout levels among nurses. Finally, more studies are needed to understand stress, burnout, depression, and other psychological issues experienced by Omani nurses.

Footnotes

Acknowledgement

We would like to express our deep gratitude to all the nurses who participated in the study.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Ethical Considerations

Ethical approval was sought from the Medical Research Ethics Committee (MREC) of Sultan Qaboos University (SQU-EC/263/2020 dated 08/11/2020), Ministry of Health (MOH/CSR/20/23891 dated 13/10/2020), and Armed Forces Hospital, Sultanate of Oman (AFMS-MREC 024/2020 dated 10/11/2020). The investigators provided sufficient information to the nurses about the purpose of the study and were given the privilege of clarifying their doubts. After assuring the confidentiality, implied consent was obtained. All the study participants were encouraged to participate in the study and were also told that they have the right not to participate. The collected data was stored in a password-protected computer and only the investigators had the access to the data.

ORCID iD

Judie Arulappan

References

FDRE

. Nursing Care Practice Standards Version 2. Addis Ababa. FDRE MOH (Federal Democratic republic of Ethiopia Ministry of Health); 2011.

Beh

Loo

. Job stress and coping mechanisms among nursing staff in public health services. Int J Acad Res Business Soc Sci. 2012 Jul 1;2(7):131.

Roberts

Grubb

. The consequences of nursing stress and need for integrated solutions. Rehabil Nurs. 2014 Mar;39(2):62‐9.

Wang

Okoli

, et al. Factors associated with compassion satisfaction, burnout, and secondary traumatic stress among Chinese nurses in tertiary hospitals: a cross-sectional study. Int J Nurs Stud. 2020 Feb 1;102:103472.

Adzakpah

Laar

Fiadjoe

. Occupational stress among nurses in a hospital setting in Ghana. Clin Case Rep Rev. 2016;2(2):333‐8.

Dagget

Molla

Belachew

. Job related stress among nurses working in Jimma Zone public hospitals, South West Ethiopia: a cross sectional study. BMC Nurs. 2016 Dec;15(1):1.

AH Shivaprasad RN PG. Work related stress of nurses. J Psychiatr Nurs. 2013 May 1;2(2):53.

Alenezi

Aboshaiqah

Baker

. Work-related stress among nursing staff working in government hospitals and primary health care centres. Int J Nurs Pract. 2018 Oct;24(5):e12676.

Xie

Wang

Chen

. Nurse burnout and its association with occupational stress in a cross-sectional study in Shanghai. J Adv Nurs. 2011 Jul;67(7):1537‐46.

10.

Happell

Dwyer

Reid-Searl

Burke

Caperchione

Gaskin

. Nurses and stress: recognizing causes and seeking solutions. J Nurs Manag. 2013 May;21(4):638‐47.

11.

J H

Ravindran

. Job stress among. Nurses. 2020;20(2):92‐6. DOI:10.4103/IJCN.IJCN

12.

Al Rasasi

Al Faisal

El Sawaf

Hussain

Wasfy

. Work-related stress among nurses working in Dubai, a burden for healthcare institutions. Am J Psychol Cogn Sci. 2015 Jun;1(2):61‐5.

13.

Damit

. Identifying sources of stress and level of job satisfaction amongst registered nurses within the first three years of work as a registered nurse in Brunei Darussalam (Doctoral dissertation, Queensland University of Technology).

14.

Khamisa

Oldenburg

Peltzer

Ilic

. Work related stress, burnout, job satisfaction and general health of nurses. Int J Environ Res Public Health. 2015 Jan;12(1):652‐66.

15.

Al Maqbali

Al Omari

Slimane

Balushi

. The nursing profession in Oman: an overview. Nurs Sci Q. 2019 Oct;32(4):322‐5.

16.

Mohamed

Al-Lawati

. How to make the best use of the workload indicators of staffing needs method in determining the proportion of time spent in each of the workload components and its implication in decision making: the experience of the Sultanate of Oman. Hum Resour Health. 2022 Jan 28;19(Suppl 1):113.

17.

Al Awaisi

. The Experience of Sultan Qaboos University Newly Graduated Nurses During Their First Year of Practice in the Sultanate of Oman. The University of Manchester (United Kingdom); 2012.

18.

Hasan

Tumah

. The correlation between occupational stress, coping strategies, and the levels of psychological distress among nurses working in mental health hospital in Jordan. Perspect Psychiatr Care. 2019 Apr;55(2):153‐60.

19.

Gray-Toft

Anderson

. The nursing stress scale: development of an instrument. J Behav Assess. 1981 Mar;3(1):11‐23.

20.

Akbar

Elahi

Mohammadi

Khoshknab

. How do the nurses cope with job stress? A study with grounded theory approach. J Caring Sci. 2017 Sep;6(3):199.

21.

Jennings

. Work stress and burnout among nurses: Role of the work environment and working conditions. Patient safety and quality: An evidence-based handbook for nurses. 2008 Apr.

22.

Vernekar

Shah

. A study of work-related stress among nurses in a tertiary care hospital in Goa. Int J Commun Med Public Health. 2018 Feb;5(2):657‐61.

23.

Faremi

Olatubi

Adeniyi

Salau

. Assessment of occupational related stress among nurses in two selected hospitals in a city southwestern Nigeria. Int J Afr Nurs Sci. 2019 Jan 1;10(5):68‐73.

24.

Sancini

Ricci

Tomei

, et al. Work related stress and blood glucose levels. Ann Ig. 2017 Mar 1;29(2):123‐33.

25.

Donaldson

Harriss

. Workplace Stress - An Occupational Health Case Study. Vol. 68. Occupational Health & Wellbeing; 2016.

26.

Carayon

Gurses

. Nursing workload and patient safety—a human factors engineering perspective. Patient safety and quality: An evidence-based handbook for nurses. 2008 Apr.

27.

Ismail

Hussein

. Population aging and long-term care policies in the Gulf region: a case study of Oman. J Aging Soc Policy. 2019 Aug 8;31(4):338‐57.

28.

Iverach

Menzies

. Death anxiety and its role in psychopathology: reviewing the status of a transdiagnostic construct. Clin Psychol Rev. 2014 Nov 1;34(7):580‐93.

29.

Langley

Kisorio

Schmollgruber

. Moral distress experienced by intensive care nurses. Southern Afr J Crit Care. 2015;31(2):36‐41.

30.

Hamaideh

Mrayyan

Mudallal

Faouri

Khasawneh

. Jordanian Nurses’ job stressors and social support. Int Nurs Rev. 2008 Mar;55(1):40‐7.

31.

Tabak

Orit

. Relationship between how nurses resolve their conflicts with doctors, their stress and job satisfaction. J Nurs Manag. 2007 Apr;15(3):321‐31.

32.

Chatzigianni

Tsounis

Markopoulos

Sarafis

. Occupational stress experienced by nurses working in a Greek Regional Hospital: a cross-sectional study. Iran J Nurs Midwifery Res. 2018 Nov;23(6):450.

33.

Glazer

Gyurak

. Sources of occupational stress among nurses in five countries. Int J Intercult Relat. 2008 Jan 1;32(1):49‐66.

34.

Tuckett

Winters-Chang

Bogossian

Wood

. Why nurses are leaving the profession… lack of support from managers’: what nurses from an e-cohort study said. Int J Nurs Pract. 2015 Aug;21(4):359‐66.

35.

Kantek

Kavla

. Nurse-nurse manager conflict: how do nurse managers manage it? Health Care Manag. 2007 Apr 1;26(2):147‐51.

36.

Gulavani

Shinde

. Occupational stress and job satisfaction among nurses. Int J Sci Res (IJSR). 2014;3(4):733‐40.

37.

Caruso

. Negative impacts of shiftwork and long work hours. Rehabil Nurs. 2014 Jan;39(1):16‐25.

38.

Baye

Demeke

Birhan

Semahegn

Birhanu

. Nurses’ work-related stress and associated factors in governmental hospitals in Harar, Eastern Ethiopia: a cross-sectional study. PloS One. 2020 Aug 3;15(8):e0236782.

39.

Vidotti

Ribeiro

Galdino

Martins

. Burnout syndrome and shift work among the nursing staff1. Rev Lat Am Enfermagem. 2018 Aug 9;26.

40.

Lin

Liao

Chen

Fan

. The impact of shift work on nurses’ job stress, sleep quality and self-perceived health status. J Nurs Manag. 2014 Jul;22(5):604‐12.

41.

Alsharari

Abuadas

Hakami

Darraj

Hakami

. Impact of night shift rotations on nursing performance and patient safety: a cross-sectional study. Nursing Open. 2021 May;8(3):1479‐88.

42.

Ferri

Guadi

Marcheselli

Balduzzi

Magnani

Di Lorenzo

. The impact of shift work on the psychological and physical health of nurses in a general hospital: a comparison between rotating night shifts and day shifts. Risk Manag Healthc Policy. 2016;9(9):203‐11.

43.

Karyabwite

Govender

. Flexitime as a mechanism to reduce employee stress. Corporate Ownership Control. 2011;648.

44.

Khaleel Abdullah

Mirza

Othman

. Assessment of job stress among nurses working in akre teaching hospitals. Mosul J Nurs. 2018 Mar 17;6(1):20‐32.

45.

Ojekou

Dorothy

. Effect of work environment on level of work stress and burnout among nurses in a teaching hospital in Nigeria. Open J Nurs. 2015;5(10):948.

46.

Al-Aameri

. Source of job stress for nurses in public hospitals. Saudi Med J. 2003 Nov 1;24(11):1183‐7.

47.

Liu

Zhu

Mao

. Job satisfaction, work stress, and turnover intentions among rural health workers: a cross-sectional study in 11 western provinces of China. BMC Fam Pract. 2019 Dec;20(1):1‐1.

48.

Huang

, et al. The relationship between job satisfaction, work stress, work–family conflict, and turnover intention among physicians in Guangdong, China: a cross-sectional study. BMJ Open. 2017 May 1;7(5):e014894.

49.

Ismail

Ghani

Subhan

Joarder

Ridzuan

. The relationship between stress and job satisfaction: an evidence from Malaysian peacekeeping mission. Mediterr J Soc Sci. 2015 Aug 18;6(4):647.

50.

Chao

Jou

Liao

Kuo

. Workplace stress, job satisfaction, job performance, and turnover intention of health care workers in rural Taiwan. Asia Pacific J Public Health. 2015 Mar;27(2):NP1827–36.

Sources of Work-Related Stress Among Omani Nurses: A Cross-Sectional Study

Abstract

Keywords

Introduction

Materials and Methods

Study Design

Setting

Sample Size

Sampling Method

Sample Characteristics

Instruments Used for Data Collection

Demographic/job-related nurses’ profile

Nursing stress scale

Ethical Considerations

Data Collection

Data Analysis

Results

Discussion

Limitations

Conclusion

Recommendations

Footnotes

Acknowledgement

Declaration of Conflicting Interests

Funding

Ethical Considerations

ORCID iD

References