PSYCHOLOGICAL PROBLEMS EFFECT ON CONFLICT LEVEL, ITS TYPE AND PERFORMANCE AMONG EMPLOYED NURSES IN RURAL HEALTH SETTING

Fatma M. Elnady Abd Rabou1, Enaam Abdellatif Farrag 2*


1Nursing Administration, Faculty of Nursing, Fayoum Universit, Egypt

2Nursing Psychiatric, Faculty of Nursing Fayoum University, Egypt


*Corresponding Author’s Email: fmn00@fayoum.edu.eg


ABSTRACT


Background: Nurses play an inevitable role among health care professionals and is consider as one of the main pillars of health system. Conflicts at all levels can affect performance, their heavy workload, can leave them overworked and stressed. The demanding nature of the profession exposes nurses to a higher risk of developing negative psychological states such as depression, anxiety, and stress. Aim: Study aimed to (1) assess estimating psychological problems commons among employed nurses in acute and critical units at rural health care setting (2) Determining conflict levels and types among working nurses, and (3) Investigating the effect of psychological problems on conflict level, type and nurse's performance. Methods: A quantitative descriptive and correlation research design was used, study setting was in Fayoum General Hospital affiliated to Ministry of Health belong to Fayoum governorate, Egypt. A non-probability purposive sampling technique was used with a total number (98 nurses). The tools used for collecting data were a structured self-administrative questionnaire to assess psychological problem by Depression Anxiety Stress scale (DASS), and to assess conflict using nursing conflict scale (NCS), along with Observational Check List to investigate nurse's performance. Results: The study results showed that, regarding to psychological problem 60% of the study sample had severe stress, 32.62% had moderate anxiety and 43.88% had mild depression. Positive correlation between conflict and anxiety (P<0.051), conflict and stress (P<0.001), stress and all types of conflict, and depression and only disruptive conflict type (P<0.022) was found. Also, there is a positive correlation between stress and performance. Conclusion: The current study concluded that, psychological problems had a positive effect on conflict types and performance among employed nurses, in rural health settings. Also, a positive correlation between psychological problems and conflict types, and negative correlation between conflict and performance was found, and finally the study finding had answered the research questions Recommendation: It is recommended that, hospital administrators should have strategies to cope with psychological problems such as screening program to detect risk factor or early signs of stress related psychological problems and developing training programs that help nurses to improve psychological wellbeing, and performance.


Keywords: Psychological Problems; Conflict; Nurse's Performance


INTRODUCTION


Conflict is an upsetting actuality in any association as individuals make progress toward works, assets, power, lose approach, while each gathering attempt to constrain its own recognition and security, and nursing profession is generally founded on human relation and communication. There are nurses from various ages, having different aptitudes and levels of instructive planning. These distinctions connected with some compromise procedures which make a vital commitment to the successful performance of nursing professions and thus contributes towards the greatness of nursing care. Psychological stress may identify with work and different kinds of requests, which brings about conflicts and lead to physical, mental and social issues in relationship with helpless job performance, (Khodadadi et al., 2016; Ebrahim et al., 2014; Mulki et al., 2015).


Conflict is certain psychological, procedural and substantive dimensions and it can change structure and type by the individualized impression of the members (El-enin & Mohammed, 2017). Past investigations have endeavored to characterize the sorts of conflict nurses may experience in a hospital setting. The most commonly types of conflict involving nurses are in clinic setting. The most common kinds of contention among medical attendants may involve the emergency clinic setting regarding intrapersonal strife which happens inside one individual, interpersonal conflict which occurs between two or more individuals, intragroup conflict which happens between at least two people, intragroup conflict which happens inside one gathering, intergroup struggle which happens between at least two gatherings, serious clash which happens when at least two gatherings endeavor to arrive at a shared objective, and troublesome clash which comes about because of attempting to lessen or defeat the opponent. The last kind of conflict is normal among nurses and doctors and has been accounted for by the both professions (Zeinhom, 2015; Eleni et al., 2017).


Nurses usually work in circumstances that are described by exorbitant remaining burdens, poor salaries; health risks posed by patients, presented by patients, presented to horrendous circumstances and weakened correspondence with the executives with restricted emergency clinic equipments and assets. These variables can mirror the psychological wellbeing of nurses and influence the nature of care they give to patients. Registered nurses who work in clinics are presented to changing levels of psychological pressure (Seligman & Csikszentmihalyi, 2014; Dlamini & Visser 2017). The reaction to these psychological stressors is distinctive between nurses; some of them adapt to the pressure, while others may neglect it and keep working without focusing on the outcome (Lievrouw et al., 2016).


Literature reviewing uncovered that, high prevalence rate of psychological problems, turn out to be progressively perceived that nurses are influenced by symptoms of stress, depression, and anxiety and its outcomes on nursing in term of patient security, loss of control and miscommunication between medical care individuals and associations, and adversely influenced representatives' psychical conditions, inspiration and responsibility levels may lead them to helpless connections in their workers' attitudes towards not only their social lives but also their working lives (Sarafis et al., 2016; Russell, 2016).


Frequent and prolonged exposure to high level stress depending on the individual’s adaptation ability can cause significant maladjustment with anxiety and depression which being the general indicators to measure the status of mental health. Stress can cause several emotional and physical problems including dissatisfaction with self, a sense of failure, severe anxiety, tension, frustration and depression (Khodadadi et al., 2016). With help from their administrators, nurses may turn out to be more prepared to counsel specialists such psychologists or therapists, so that, rising aggravations might be found and treated early (Saifan et al., 2019).


Stress is a perceived as medical condition among nurses, worldwide, its commonness among medical caretakers differs generally somewhere in the range of 9.2% and 68%. Furthermore, work settings and the sociocultural direction of medical caretakers have been accounted for to impact limits for creating pressure across networks and nations, nursing related pressure likewise adds to truancy and high turnover rates. Focused will decrease among medical attendants and they will be aloof towards patients, in this manner expanding their mistake rates in managing therapies. The outcomes are helpless patient, helpless sickness results, and expanded expense of medical care administrations. Prescient factors, for example, work fulfillment, high remaining burdens, move work, rest aggravation, long periods of business, and conjugal status were regularly connected with these psychological problems (Xie et al., 2020; Basil et al., 2019; Maharaj et al., 2018; Sarafis et al., 2016).


High anxiety in nursing professionals is additionally accompanied with pervasiveness going from 20% in Australian birthing specialists to 32-40% in Chinese attendants, 40 -46 % in Iranian nurses, 44 -66% in Brazilian attendants, and 22- 24% of American medical caretakers. Nervousness is a dubious and horrendous sentiment of dread, worry, portrayed by pressure or distress getting from the expectation of risk, of something obscure or unusual. An investigation among nursing experts uncovered that circumstances in the workplace can incite tension, especially, among incalculable conditions, the flimsiness or irritation of patients' ailment, absence of material, hardware and staff and connection with patients' family members (Shajan & Nisha, 2019; Maharaj et al., 2018).


Depression indications among nurses in the USA was between 35–41%, 11%–80% in Iranian nurses, 35% in Chinese nurses, 17% in Australian Birthing assistants, and 51% in Brazilian nurses, also, around 33% of French nurse's supervisors and 10% Canadian nurses. Depression is portrayed by slowing down of psychic processes, depressive and/or irritable mood, decreased energy, disinterest, apathy, concentration difficulty, negative thinking, with a loss of planning capacity and altered judgments of truth. Nurses experienced burdensome indications twice more than people's rate in different callings (Shajan & Nisha, 2019). Presenteeism is the efficiency misfortune that happens when laborers are available grinding away, however, are not working at top execution in view of medical conditions. Enlisted nurture who report presenteeism are bound to report more prescription mistakes, tolerant falls, and generally speaking less fortunate nature of care (Xie et al., 2020; Basil et al., 2019; Maharaj et al., 2018; Sarafis et al., 2016; Letvak et al., 2013). Working staff may have disabled judgment, and failures to understand the situation in the work environment may create genuine word related occupational injuries (Brandford & Reed, 2016).


Significance of the Study


Stress level among nurses can generally range from moderate to high and few prevalence rates are approximately 40-90% (Shah, 2017; Khodadadi, 2016). In Egypt, Psychological symptoms were prevalent among nurses, 79% were depressive and 64.6% were positive for anxiety (Rania et al., 2020). Psychological problems between working nurses is a new contest opposite nursing administrators at time of nurse’s shortage. It was observed that, many nurses have thoughtful conflicts with patients which source several problems with hospital administrators, preventing nurses from direct contact with patients was used as a common active solution but, conflicts with colleagues arises, by close observation of these nurses' signs and symptoms of psychological problems appears. In the view of conflict is natural and pervasive phenomena, however, studying the relationship of the emerging conflict between self and other healthcare professionals is important to assess the effect of psychological problems on conflict level, type and performance among employed nurses.


Aim of the Study


This study aimed to assess the effect of psychological problems on conflict levels, its type and performance among employed nurses in rural health settings through :1-estimating psychological problems commons among employed nurses in acute and critical unites at rural health care setting, 2- Determining conflict level and types among working nurses, and 3-Investigating the effect of Psychological problems on conflict level, its type and nurse's performance.


Conceptual Framework


Theory of Weick (1979) notes that singular behavior is more a function of the situation than of individual traits or role definitions, People are "loosely connected" in most organizations and have a large autonomy for action. Generally, studying conflict and stress as straight processes, Weick’s concept of informative cycle's highpoints the interrelated nature of conflict and stress and the consolidated pressures conflict and stress put on people. Meanwhile, healthcare professions are among the first six most distressful conditions, workplace stress can influence healthcare professionals’ physical and emotional wellbeing by diminishing their efficiency and negatively affecting their overall quality of life, and nurses' obligations as occupation stressors, which cycled into conflict with others, and are possible at the focal point of health team conflict, as the responsibility for managing patient care.


METHODOLOGY

Research Design

A quantitative descriptive and correlation research design was used to attain the aims of this study.

Research Settings

The current study was conducted in Fayoum General Hospital affiliated to Ministry of Health under Fayoum governorate (which is considered as rural area), Egypt, that includes multi-specialties as (Emergency, medical radiology, oncology, neurology, internal medicine, cardiac, obstetric, surgical, urology department) as well as intensive care units, operating theater, medical and surgical floors. This setting was selected because of the rural population consider this hospital as central and has a low level of financial cost so, nurses were stressed and overload in their shifts.

Sample

Anon probability purposive sampling technique was used with a total number of nurse's sample size (98 nurse) classified as 28 head nurses and 70 staff nurse. The sample was collected from different hospital departments distributed as (25) of staff nurses working in ICUs and (26) working in Operating Rooms, (17) working in Neonatal departments and (30) working department at Fayoum General Hospital.


Inclusion criteria as both genders nurse, no history of any psychiatric illness, had more than two years of experiences and administrative experiences. Exclusion criteria were nurses less than 20 years of age and less than two years of experience and administrative experience.


Tools of Data Collection

To fulfill the aim of the current study, two tools were used First Tool: A structured self-administrative questionnaire was constructed by the researchers based on a review of literature related to the current research problem periodicals and other researches.

Part 1: Included data related to sociodemographic characteristics (age, degree of qualification, residence, years of experience, administrative experience).

Parts 2: Depression Anxiety Stress scale (DASS) originated and developed the scale by Henry & Crawford (2005), with the aim of estimating psychological problems commons among employed nurses in acute and critical units. This consists of 21 items, used to measure as following: 1- Depression (7) items numbered question's (3,5,10,13,16,17,21), Anxiety (7) items numbered question's (2,4,7,9,15,19, 20), Stress (7) items numbered question's (1,6,8, 11,12, 14,18) used four point

scale (3 to 0) respectively.

Scoring System: each item is scored on normal 0-4, mild depression 5-7, moderate 7-10, severe 11-13, extreme ≥14, Anxiety items: normal 0-3, mild 4-5, moderate6-7, severe 8-9, extreme≥10, Stress items: normal0-7, mild 8-9, moderate 10-12, severe 13-16, extreme ≥17.

o Parts 3: to measure nursing conflict scale (NCS), with the aim to assess the types and level of conflict experienced by nurses based on (El-Shimy, Abdel El-Megid & Mohamed, 2012; Zienhom, 2015). The scale includes 36 items were categorized into five categories of conflicts: Disruptive conflict (5 items), interpersonal conflict (7 items), intrapersonal conflict (6 items), intergroup conflict (6 items), intragroup conflict (6 items), and competitive conflict (6 items) used three-point scales (0-2): 0= no, 1=sometimes, and 2=yes with a total score of (72).

Scoring System: Calculated as: Low conflict experience level ranges from 0 to 24, moderate conflict experience level ranges from 25 to 48, and high conflict experience level ranges from 49-72). Data collections tool was written and translated into simple Arabic to suite the study sample.


Second Tool

Observational Check List: It was constructed by the researcher based on Kahya & Oral, (2018) for investigating the effect of Psychological problems on conflict level, its type and nurse's performance. It included (45) items classified as: (Professional skill (10) items, Clinical skill (7) items, communication (3) items, Problem solving (3) items, Professional ethics (3) items, Teamwork (4) items, Leadership (4) items and Contextual (11) items, used three-point scales (1-3): as

  1. done, (2) not done and (1) not applicable.


    • Scoring system for nurses' performances through observational checklist were calculated for each item and the total scores related to nurses' practices was collected as <60% was considered satisfactory and >60% was considered unsatisfactory. It was written in English language.


Tool Validity and Reliability


Tools were judged by a jury group consisting of five experts; three professors from the Psychiatry Department specialty from faculty of medicine and psychologist Ain Shams University, two professors of administrative Department of Nursing, Faculty of nursing, Modern University, Egypt who reviewed the tools for content accuracy. According to their opinions regarding the tools format, layout, parts, and the clarity of the words of the statements, minor modifications were done.


Ethical Consideration


The necessary approval was obtained from the administrative authority of Fayoum general El- Fayoum University was taken after issuing an official letter from the Dean of Faculty of Nursing, El- Fayoum University. The aim of the study was explained to staff nurse, with emphasis on the confidentiality of any obtained information. A verbal consent was secured from each subject after explanation of the rights to refuse participation. Ethical approval for this study was obtained from the university's administrators of the hospitals. The questionnaires had an introductory section explaining the purpose of the study, the freedom of choice to fill the questionnaire, and assurance of anonymity of respondent.


Pilot Study


A pilot study was carried out before starting data collection, 10% out of total sample chosen randomly from previous mentioned setting. It was done to estimate the time required for filling the tools and checking the clarity, applicability and relevance of the questions. Based on the results of the pilot study, the necessary modifications were done. The subjects who joined in the pilot study were excluded from study sample.


Procedure


The field work was started after completion of the data collection tool; the data collection was done during the period of October 2019 to December 2019. The researchers met with the director and heads of departments of the selected setting, with an official letter signifying the purpose of the study, and its rationale, their permissions were obtained to start the data collection process. A seminar with nurses was held to describe the purpose of the study and procedure. A total of 106 questionnaires were distributed among working nurses at pre-mentioned hospital, a total of (98) questionnaires were collected resulting in an overall (92.4%) response rate.


Statistical Analysis

Data entry and statistical analysis was done by using SPSS 20.0 statistical software package. Data were presented using descriptive statistics in the form of frequencies and percentages for qualitative variables and means along with standard deviations for quantitative variables. Qualitative categorical variables were compared using t-test, and ANOVA test. Statistical significance was considered at p-value <0.05.


Limitation of the Study

The most important limitation of the study is the variability of nurses’ educational, professional levels and large sample of assistants. We assumed that nursing assistants may be most vulnerable to stress factors. Fewer professional qualifications could affect their emotional regulation, differently to those with higher educational level that provides more specific training and skills. Sample size was small, since the applicants were selected on basis of purposive, to which extent the study findings have limited generalizability. In addition, Nurses sometimes find it difficult to talk about their feelings. Fewer nurses refused to participate or discontinued their participation.


RESULTS


Table 1: Socio-Demographic Distribution of Studied Nursing (N = 98)


Item

N

%


Age

20-30 Years

56

57.14

31-45 Years

33

33.67

46-50 Years

5

5.10

51-60 Years

4

4.08

Gender

Male

16

16.33

Female

82

83.67


Marital status

Married

66

67.35

Single

21

21.43

Widow

6

6.12

Divorce

5

5.10


Educational level

Diploma

16

16.33

Technical Institute

50

51.02

Bachelor

15

15.31

Diploma + Specialty

17

17.35


Experience

<10 Years

51

52.04

11-20 Years

18

18.37

21-30 Years

23

23.47

31-40 Years

6

6.12


Unit

Department

30

30.61

Operation

26

26.53

ICU

25

25.51

Pediatric

17

17.35

Position

Staff

70

71.42

Head nurse

28

28.57


Years in Position

<5 Years

49

50.00

6-10 Years

21

21.43

11-15 Years

20

20.41

16-20 Years

8

8.16


Table 1 showed Socio-demographic distribution of the studied nursing were 57.14% of them age ranged between 20 to 30 years, 83.67% of studied nurses were females, 67.35% of them were married, and 71.42% were staff nurses while 30.61% were working in inpatients departments, 51.02% had technical nursing, and only 15.31% had bachelor of nursing, 52.04% of study sample had experience less than 10 years, and 50.00% of them had <5 years of their of experience.

Table 2: Distribution of Psychological Problems Score among Study Sample (N=98)



Psychological Status

Depression

Anxiety

Stress

N

%

N

%

N

%

Normal

7

7.14

13

13.27

10

10.20

Mild

26

26.53

4

4.08

4

4.08

Moderate

43

43.88

32

32.65

11

11.22

Severe

14

14.29

28

28.57

59

60.20

Extremely Severe

8

8.16

21

21.43

14

14.29

Total

98

100.00

98

100.00

98

100.00


Table 2 revealed that 60.20% of study sample had severe level of stress, 32.62% had moderate level of anxiety, and 43.88% of them had mild level of depression.


Table 3: Relation between Psychological Problems, Conflict Type, Performance and their Working Units (N=98)



Item

Working units


ANOVA

Departments

Operation

ICU

Pediatric

Mean

±

SD

Mean

±

SD

Mean

±

SD

Mean

±

SD

F

P-value

Depression

16.200

±

7.490

15.538

±

4.743

15.600

±

5.000

24.471

±

8.959

8.179

<0.001*

Anxiety

14.867

±

7.802

12.538

±

4.785

14.080

±

6.794

21.176

±

7.748

5.872

0.001*

Stress

26.400

±

8.394

26.846

±

6.553

27.200

±

7.303

26.118

±

6.460

0.094

0.963

Total of

Psychological Problems

28.733

±

10.184

27.462

±

6.370

28.440

±

7.534

35.882

±

10.781

3.659

0.015*

Disruptive

5.133

±

1.432

5.077

±

1.354

5.320

±

1.725

6.706

±

1.829

4.606

0.005*

Interpersonal

4.033

±

2.798

2.538

±

2.177

3.040

±

2.937

5.471

±

4.140

3.872

0.012*

Intrapersonal

3.500

±

2.675

2.500

±

2.232

2.360

±

2.914

3.412

±

3.759

1.095

0.355

Intergroup

5.000

±

2.652

4.192

±

1.812

4.440

±

2.551

5.588

±

3.589

1.175

0.324

Intragroup

6.400

±

2.848

4.962

±

2.341

4.240

±

2.728

6.529

±

2.577

4.270

0.007*

Competitive

5.267

±

2.196

5.077

±

1.495

5.520

±

2.220

7.882

±

2.233

7.750

<0.001*

Total of Conflict

29.333

±

9.639

24.346

±

5.782

24.920

±

11.979

35.588

±

16.610

4.447

0.006*

Total of Performance

70.600

±

4.190

72.077

±

5.692

75.080

±

7.713

77.059

±

12.392

3.473

0.019*


Table 3 indicated that there is a highly significant difference (P<0.001) between depression, anxiety and working units such as anxiety and pediatrics(21.176±7.748) followed by Departments (14.867±7.802), depression and Pediatric (24.471±8.959) followed by Departments (16.200±7.490), while a statistically significant difference was seen with respect to conflict types and working units as disruptive, (P<0.005) at pediatrics (6.706 ±1.829) followed by ICU (5.320±1.725), interpersonal (P<0.012) at pediatrics (5.471±4.140) followed by Departments (4.033±2.798), intragroup (P<0.007) at pediatrics (6.529 ± 2.577) followed by Departments (6.400± 2.848), and competitive(P<0.001) at pediatrics (7.882±2.233) followed by ICU (5.520± 2.220), and total of performance, (P<0.019) and working units at pediatrics (77.059±21. 392) followed by ICU (75.080± 7.713).

Table 4: Relation between Psychological Problems, Conflict Type, Performance and Study Sample Age, (N=98)



Item

Age


ANOVA

18-30 Years

31-45 Years

46-50 Years

51-60 Years

Mean

±

SD

Mean

±

SD

Mean

±

SD

Mea n

±

SD

F

P-

value

Depressi on

17.571

±

6.62

5

15.09

1

±

7.384

20.000

±

6.782

28.50

0

±

5.508

4.97

1

0.003*

Anxiety

15.071

±

7.25

6

13.93

9

±

7.026

16.400

±

7.668

24.50

0

±

6.191

2.63

7

0.054*

Stress

27.214

±

6.78

7

26.12

1

±

8.215

23.600

±

8.414

27.50

0

±

3.000

0.47

9

0.698

Scale of psychological problems


29.929


±

8.53

4

27.57

6


±


9.695


30.000


±


10.344

40.25

0


±


4.193

2.49

0


0.065

Disruptive

5.554

±

1.59

5

5.152

±

1.439

4.400

±

1.140

7.500

±

3.000

3.39

9

0.021*

Interpersonal

3.214

±

2.14

7

3.515

±

3.355

5.400

±

4.219

8.250

±

6.652

4.26

0

0.007*

Intrapersonal

2.804

±

2.85

0

2.606

±

2.657

4.200

±

1.924

5.750

±

4.349

1.86

2

0.141

Intergroup

4.554

±

2.28

0

4.576

±

2.873

5.400

±

2.510

8.000

±

4.082

2.38

2

0.074

Intragroup

5.196

±

2.42

3

5.485

±

3.154

6.200

±

1.789

8.750

±

3.775

2.24

3

0.088

Competitive

5.875

±

2.15

0

5.212

±

2.058

5.200

±

1.643

8.750

±

3.775

3.38

7

0.021*

Total of conflict

27.196

±

9.92

6

26.54

5

±

10.975

30.800

±

8.319

47.00

0

±

24.940

4.36

2

0.006*

Total of performance

73.214

±

7.83

2

72.81

8

±

5.542

76.000

±

8.746

74.00

0

±

18.903

0.25

3

0.859


Table 4 revealed that, a highly significant difference was found between depression and age (P <0.003), a significant difference between anxiety and age ( P <0.054), also significant difference between disruptive type and age (P <0.021), interpersonal type (P <0.007), competitive type (P <0.021), and non-significant difference was found between total performance and age.


Table 5: Relation between Psychological Problems, Conflict Type, Performance and Marital Status (N=98)



Item

Marital status


ANOVA

Married

Single

Widow

Divorce

Mean

±

SD

Mean

±

SD

Mean

±

SD

Mean

±

SD

F

P-value

Depression

17.576

±

7.698

17.238

±

5.603

17.000

±

5.477

14.400

±

10.714

0.294

0.830

Anxiety

15.091

±

7.509

14.571

±

6.485

18.000

±

7.899

14.800

±

9.445

0.343

0.795

Stress

26.636

±

6.813

28.381

±

4.842

28.333

±

8.802

18.000

±

13.711

3.075

0.031*

Total of

Psychological problems

29.652

±

9.337

30.095

±

5.638

31.667

±

10.053

23.600

±

16.365

0.838

0.476

Disruptive

5.606

±

1.597

5.000

±

1.643

4.500

±

1.049

6.200

±

2.490

1.764

0.159

Interpersonal

3.591

±

3.083

2.952

±

1.857

3.333

±

4.457

7.400

±

3.912

3.007

0.034*

Intrapersonal

3.015

±

2.864

2.143

±

2.351

2.000

±

2.757

6.200

±

2.950

3.156

0.028*

Intergroup

4.697

±

2.517

3.667

±

1.932

5.667

±

2.160

8.800

±

3.564

6.252

0.001*

Intragroup

5.652

±

2.760

4.333

±

2.652

5.167

±

2.041

8.600

±

1.673

3.698

0.014*

Competitive

5.833

±

2.351

5.381

±

1.746

5.833

±

1.722

5.800

±

3.633

0.215

0.886

total of conflict

28.394

±

11.696

23.476

±

7.846

26.500

±

10.291

43.000

±

13.910

4.328

0.007*

Total of performance

74.091

±

8.650

71.429

±

4.467

72.167

±

6.014

71.200

±

6.943

0.803

0.495

Table 5 illustrated that, a significant difference (P<0.031), was found between stress and marital status, a highly significant difference (P<0.007) between total conflict and marital status, meanwhile no significant difference was found between performance and marital status.


Table 6: Relation between psychological problems, conflict type, performance and educational level (N=98)



Item

Qualification

ANOVA

Diploma

Technical

Bachelor

Diploma +specialty

Mean

±

SD

Mean

±

SD

Mean

±

SD

Mean

±

SD

F

P-value

Depression

17.250

±

7.895

18.440

±

8.084

15.467

±

5.579

15.647

±

5.012

1.020

0.388

Anxiety

15.375

±

9.458

16.400

±

7.516

12.667

±

6.662

13.412

±

4.169

1.394

0.250

Stress

28.625

±

5.737

25.120

±

8.093

27.467

±

7.150

28.706

±

4.997

1.699

0.173

Total of

psychological problems

30.625

±

10.105

29.980

±

10.320

27.800

±

7.720

28.882

±

5.146

0.318

0.812

Disruptive

5.000

±

1.414

5.900

±

1.657

4.867

±

1.685

5.000

±

1.541

2.833

0.042*

Interpersonal

2.813

±

1.601

4.820

±

3.707

2.400

±

1.682

2.000

±

1.323

6.004

0.001*

Intrapersonal

2.750

±

2.380

3.660

±

3.061

2.600

±

2.694

1.235

±

2.016

3.421

0.020*

Intergroup

4.188

±

1.515

5.680

±

2.945

4.000

±

2.563

3.176

±

1.185

5.397

0.002*

Intragroup

5.250

±

2.978

6.300

±

2.652

3.800

±

2.336

4.824

±

2.604

3.979

0.010*

Competitive

5.000

±

1.366

6.420

±

2.627

5.600

±

1.765

4.529

±

1.231

4.121

0.009*

Total of conflict

25.000

±

6.011

32.780

±

13.198

23.267

±

8.900

20.765

±

4.381

7.502

<0.001*

Total of performance

74.375

±

5.214

73.260

±

9.634

71.800

±

4.769

73.471

±

5.328

0.288

0.834


Table 6 revealed that, a highly significant difference (P<0.001) was found between total conflict and educational level and a non-significant difference between total performance and educational level.


Table 7: Correlation Analysis between Psychology Problems, Conflict and Performance (N =98)


Correlations


Item

Depression

Anxiety

Stress

Psychological problems

R

P-value

R

P-value

R

P-value

R

P-value

Disruptive

0.232

0.022*

0.190

0.062

-0.051

0.619

0.148

0.145

Interpersonal

0.163

0.108

0.144

0.158

-0.414

<0.001*

-0.041

0.687

Intrapersonal

0.079

0.439

0.108

0.288

-0.362

<0.001*

-0.069

0.503

Intergroup

0.088

0.392

0.117

0.253

-0.423

<0.001*

-0.086

0.401

Intragroup

0.126

0.215

0.213

0.035*

-0.247

0.014*

0.038

0.708

Competitive

0.141

0.166

0.145

0.156

-0.266

0.008*

0.009

0.931

Total of Conflict

0.174

0.087

0.198

0.051*

-0.414

<0.001*

-0.015

0.881

Total of Performance

0.174

0.087

0.209

0.039*

0.036

0.727

0.167

0.099


Table 7 demonstrated that, there was positive correlations among conflict and anxiety (P<0.051), conflict and stress (P<0.001), stress and all types of conflict, and depression and only disruptive conflict type (P<0.022) meanwhile a negative correlation was detected between psychological problems and performance .


DISCUSSION


Nurses are legally responsible for long as well as safe competent health care and is ethically guaranteed to the non- maleficence principle to ‘do no harm’. Therefore, there is a duty and responsibility to acclimatize to stimulating circumstances in a professional way, to thwart or resolve conflict, and encourage the health and wellbeing of patients (McKibben, 2017). Literature opinions that in rural and urban backgrounds, several social, cultural and behavioral factors may be related to common psychological problems (Parreira et al., 2017).


The present study aimed to assess the effect of psychological problems on its level, type and performance among employing nurses in rural setting. The study findings concerning to socio-demographic characteristics of defendants, exposed that, the majority of the respondents were females, more than two third of them were married and nearly two third of them were aged between 20-30 years old, more than two third had obtain technical nursing.


This discovery agree with Bukhari et al., 2019., Shajan et al., (2019) but dissimilar with Bhirange et al., (2016) who found that more than three quarters of nurses were holding Bachelor's degrees or a higher-level degree, and about one quarter of them had diploma-level education. The nurses who were married comprised of majority of the total number of studied nurses. Also, above one half were less than 10 years of experience. The study exemplifies that one half of them had <5 years of their position and one third were working in inpatient department, this finding is in line with Bukhari et al., (2019); Shajan et al., (2019); Sarafis et al., (2016). American Psychological Association, (2015) analogized with Fang, (2017).


As regards, the prevalence of psychological problems among the respondents, the study finding displayed, that two third nurses had severe level of stress, more than one third had moderate level of anxiety, and less than half of them had mild level of depression. This finding is in consistent with Cheung & Yip (2015) who found that, the prevalence of depression, anxiety and stress were as 35.8, 37.3 and 41.1% respectively among nurses in Hong Kong. Also, Xie et al., (2020), who showed that, higher risk of nurses developing symptoms of depression and stress. The finding is in consistent with other studies (Lai et al., 2020; Basil et al., 2019; Saifan et al., 2019; Cheung & Yip, 2015). It was unforeseen to find that the frequency of depressive symptoms among nurses weren’t that low as we expected.


First, it is noticeable that, high level of stress leads to anxiety then depression as a normal classification. Therefore, stress management will control anxiety and diminishing its level. This might explain by the fact that nurse's heavy capacity, patient demands, job responsibilities foremost to stressful surrounding environment high responsibilities as a social duty in a short time leads to weakness in relation to disadvantage like pressures leading to psychological problems (El Dahshan & Keshk, 2014; Lahana et al., 2019).


Relating to relation between psychological problems, and their working field, a highly significant differences among depression, anxiety and departments was found. This is in harmonious with Bhirange et al., (2016) and Lai et al., (2020) who determined that, prevalence of low psychological problems between nurses working in the ICU was high. Moreover, Xie et al., (2020) who initiate that, departments with highest level of depressive symptoms among nurses were pediatrics, hemodialysis, ICU, and oncology units. Another finding related to relation between conflict type, and their working units, a statistically significant different was found between total conflict, and ICU and pediatric department.


Regarding psychological problems and nurse's characteristics, a strong relation was found between age and anxiety (Cheung & Yip, 2015). The study stated that, age group was found to be insignificant in relation to depression. Nevertheless interestingly, this was correlated with anxiety and stress. Outcomes of the present study showed an inverse relationship between age and depression, anxiety and stress symptoms. Increase in age lead to decreasing depressive, anxiety and stress symptoms.


Accordingly, the findings of this study a relation between stress and marital status was found. The finding is in line with Morika et al., (2019) who rationalized that, the married nurses have more responsibilities and duties toward their families, and more problems. This is the reason for more interference in their work life with personal problems and increase imbalance in their life than unmarried nurses.


In relation to total conflict among nurses, the study finding showed low conflict level. Nurses experienced a moderate level of conflict according to the NCS scoring system, and in a similar direction, Higazee, (2015) had determine the level of conflict perceived by hospital nurses, who observed that the majority of the studied nurses have moderately high level of conflict. Few studies had examined conflict type considering to common conflict types among nurses. The finding shows that disruption between nurses and physicians were very common, followed by interpersonal conflicts which occurs between two or more individuals, competitive which occurs when two or more groups to reach a common goal. This finding disagrees with Zeinhom, (2015) who found that intragroup conflict between nurses, competitive conflict followed by disruptive conflict were the most common types of conflict experienced by the study sample. This disagree with El-enin & Mohammed, (2017) who stated that interpersonal then intragroup conflict is the most common.


The finding show a relation between conflict types and nurses' age, education, marital status and working units. This is in accordance with El-Hosany, (2017) who uncovered that there was a great relation between the diverse age groups with respect to taking care of interpersonal conflict. This is in accordance with Eleni, (2017) who expressed that, more noticeable educational attributes expanded to conflict. Additionally, these discoveries were upheld by Mulki et al., (2015) who expressed that experience has a negative relationship with conflict and stress. The study finding is in conflict with El-Hosany, (2017) who introduced that a negative relation between conflict and marital status, where over 66% of attendants with interpersonal conflict were among unmarried., and found a great relation between interpersonal; conflict, work environment stressors, work disposition, work practices, and employment fulfillment. The present study discoveries uncovered relations among conflict types and total performance, and departments. These discoveries are upheld by Shah (2017), who expressed that no direct relationship was found between conflict and performance and turnover, and concluded that conflict outcomes are due to different individual aspects, like poor performance and relationships.


At last, the study results shows that, there are positive relationships between conflict and stress, anxiety and stress, stress and a wide range of conflicts and depression with disruptive conflict type. With respect to nurse's performance the current study found a negative correlation between psychological problems and performance. This is in accordance with El- Ghabbour, (2015) who found no negative relation between stress and performance. Interestingly El-enin & Mohammed et al., (2017), proposed that there is critical relation between total stressors and the performance score of nurses. Additionally, Al-Makhaita (2014), expressed that Nurse's performance was influenced by stress, work moves and working in a particular office then he found that there was no relation between their performance and stressors. According to Kumar (2019) with respects to the occupation and employment, stress indicated a negative relationship among nurses.


CONCLUSION


Based on the study finding it can be concluded that, psychological problems had a positive effect on conflict types and performance among employed nurses, in rural health settings. Also, a positive correlation between psychological problems and conflict types, and negative correlation between conflict and performance. The need for screening and detecting signs of psychological problems among nurses and conducting more training programs were related to coping capabilities with respect to psychological problems.


Recommendation


Hospital administrators ought to have strategies to adapt with psychological problems such as


  1. Designing training programs related to coping strategies that help nurses to improve psychological wellbeing, and performance.


  2. Screening program to detect risk factor or early signs of stress related to psychological status.


  3. Further research is needed to investigate causes and effective coping strategies to minimize poor mental health in the workplace.


  4. Though stress, depression, and anxiety experienced by nursing professionals may not be entirely preventable but realizing its prevalence in the workplace is considerably important.


Conflict of Interests


The authors declare that they have no conflict of interest.


ACKNOWLEDGEMENT


The authors are thankful to the institutional authority for completion of the work


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