Determinants of Emotional Exhaustion Among Nursing Workforce in Urban Ghana: A Cross-sectional Study

DOI: https://doi.org/10.21203/rs.3.rs-61650/v1

Abstract

Background: The subject of emotional exhaustion in an organisation has become important because of the emerging trends in employment and its related problems. Unhealthy practice environment is a major threat in the incidence of emotional exhaustion among nurses; and organisational cultures that do not support its personnel has huge burnout costs. The study aimed at assessing rate of emotional exhaustion; determined factors that accounts for it and also ascertained the coping strategies used by nurses to overcome it in the Ghanaian health care setting.

Methods: A cross-sectional study with a proportionate stratified sampling was used to draw a sample of 232 nurses in five health facilities. A standardized questionnaire of Professional Practice Environment Scale of Nursing Work Index, Maslach Burnout Inventory and Coping Scale were used assess variables under study. The STROBE guidelines were followed in reporting this study.

Results: High rate of emotional exhaustion was reported among registered nurses. The practice environment of the nurse explained 39.6% of the variance in emotional exhaustion. Emotion-focused and problem-focused approaches were identified to be used by nurses to cope with emotional exhaustion.

Conclusion: When appropriate and effective intervention are employed, emotional exhaustion will be reduce and this will enrich the effectiveness of quality care delivery to patients. 

Background

The subject of burnout in a form of emotional exhaustion has become imperative in health organizations because of the emerging trends in employment and its related problems. It is been ascertained that unhealthy practice environment is a major threat in the incidence of emotional exhaustion among nursing workforce (1); and any organisational culture that does not support its personnel has burnout costs. Emotional exhaustion is defined as syndrome characterized by losing enthusiasm for work (2); and it is conceptualised as a response to a discrepancy between job-related strains and resources that is presented through feelings of emotional fatigue (3, 4). It develops from defects in the structural and psychological make-ups in an organisation (5); and the study of this phenomenon in other jurisdictions among nurses have produced distinctive outcomes that need a critical look.

Among health workers, the nursing workforce is mostly found to report constantly complex intensity of emotional exhaustion. The frequency ranges between 15 and 85% among nurses and midwives. It is, however, common among Intensive Care Units (ICUs) nurses and those who provide reproductive health services (6, 7, 8). The resultant consequences are low staff productivity and dissatisfaction of care provided by health caregivers (9, 10). Within the context of a hospital setting, nurses in various units are duty bound to provide care to patients in settings associated with complex care and impending death. They also face death and grief situations on daily basis, and are at risk of becoming more susceptible to psychological repercussions and stress, frequently occasioning in emotional exhaustion (11). Burnout at workplace gives rise to chronic adverse emotions such as anger, anxiety or depression, mental exhaustion, apprehension, low enthusiasm, and absenteeism which certainly endangers not only the nurses own health, but also their patients (12, 13). Emotional exhaustion of nurses has been identified to increased work-related infections, increased medication error, high incidence of patients’ fall, poor nurse-physician relations, low personal accomplishment of the nurse, job dissatisfaction and increased turnover intention (14, 15).

In low-middle-income countries (LMICs), where nurses undertake their task in unfavourable practice environment (uncomfortable postures, extreme noise intensities, and congested work area), there is moderate to higher dimensions of burnout in the form of emotional exhaustion (16). This obviously make the responsibility of giving care to patient extra demanding. The interactions between professional’s emotional exhaustion and practice environment cannot be underestimated; as workplace which boast of quality leadership and nurses’ involvement in decision-making presents with low levels of exhaustion (17, 18, 19). Greater autonomy for nurses in respect of adequate staffing and resources and positive nurse-physician relation has also been found to improve this phenomenon; and thus reflects on nurses’ job satisfaction and the enhanced quality of care to clients (20, 21, 22).

With World Health Organization report on nursing workforce stating that more nurses are required in attaining satisfactory nurse-patient ratio especially in LMICs (23); measures are needed to reduce emotional exhaustion among nurses. Potential widening of the disproportion of nurse-patient ratio places huge workload that build continuous psychosomatic stress on nurses in a form fatigue and emotional exhaustion. In extreme cases, emotional exhaustion results in work-family conflict for the nurse (24, 25, 26).

In Sub-Saharan Africa, organisational factors (demands from job, control over work, social support, and interpersonal relationships, and change over the role of staff) considerably impact on staff’s emotional exhaustion. Most nurses have increased chances of exhaustion relative to other health care providers (27, 28). Accordingly, (29) reiterate that unsafe nurse-to-patient ratio in most health care facilities in Ghana result in increased levels of stress among health staff. Complains of inadequate recognition from clients and their relations and the community usually serve as the main cause of nurses’ emotional exhaustion. Additionally, some nurses also experience emotional exhaustion in a form of despair when their patients relapse or their condition deteriorate despite the amount of time and quality of care provided to them (30). Importantly, challenges of role ambiguity of nurses who are upgraded without adequate training on their new roles usually cause an upsurge in job burdens. Such situations increase the amount of work by nurses; and inadequate human and material resources to perform these roles result in emotional exhaustion (31). Burnout compromises nursing care, thus delay in the recuperating time of patients and avoidable deaths; and also affect nurses’ loyalty to an organisation thereby increasing turnover intentions (32, 33).

Emotional exhaustion among nurses in Ghana has not been given considerable attention, as most studies are directed towards other work-related risks with emphasis placed primarily on healthcare professionals in general. Besides, in circumstances where emotional exhaustion has been studied, it is generally restricted to a few categories of nurses; therefore, the trends among the broad segment of nursing staff cannot be evaluated. Additionally, in order to ameliorate the hazards caused by emotional exhaustion, and its compounding effects on job satisfaction, quality nursing care delivery and turnover intention, it would be appropriate for nurse researchers to devote more attention to undertaking studies that will holistically assess this concept. The study therefore, aimed at assessing rate of emotional exhaustion; and also determining the factors that accounts for it among Ghanaian nurses.

Methods

Study settings

The study was conducted at Sunyani Municipality, which is situated in the middle part of the country. It is the capital of one of the 16 regions in Ghana (Bono Region). Sunyani is an urban district with population of 123,224 (34). The municipality occupies a land area of 1,289 km2, and has hospitals (6), clinics (12), Community-based Health Planning and Services (CHPs) compound (7), maternity homes (3) and health centers (3). These facilities provide health services to the population (34). The facilities in Sunyani Municipality serve as the treatment for inhabitants of Sunyani and adjacent districts and referral center for other facilities in the surrounding regions of Ahafo, Bono East, and Northern part of Ghana. The municipal’s nursing workforce stands at 480; and they comprises of all categories of nurses (35).

Study Design and Sample Size

Quantitative descriptive cross-sectional design was employed to obtain data through standardized questionnaires. Registered nurses from five (5) healthcare facilities in the Sunyani Municipal, Ghana were chosen for the conduct of the study. The population comprised Registered Nurses in the selected facilities, with inclusion criteria being nurses who have worked for at least one-year after qualification from Nursing and Midwifery Council of Ghana and were willing to participate in the study. Registered nurses were excluded if they were on annual leave at the time of the study. Miller and Brewer’s mathematical formula (n = N/1 + Ne2) for estimating sample size was used; where n is the sample size, N is the total population, and e is the margin of error. In effect, the standard deviation was set at 95% confidence level with a margin of error of 0.05. The sample size was increased and rounded up with 10% of the calculated minimum sample size to take care of non-responses, inappropriately filled and/or missing questionnaires. A total of 250 questionnaires were distributed for the study, however, 232 were completely filled and returned; representing 92.8% response rate.

Sampling Technique

A proportionate stratified sampling technique was used to obtain the required number of respondents from each of the selected facilities based on the inclusion criteria.

Data Collection

Self-administered questionnaire was done and the process lasted for three weeks (4th April, 2017–21st April, 2017). Respondents used approximately 30 minutes to fill the questionnaire. A standardized tools were adapted for the study of the various variables. The Professional Practice Environment was measured using the “Practice Environment Scale of Nursing Work Index (PES-NWI)” (36). The tool is made up of 5 sub-scales (nurse manager ability, leadership and support, collegial nurse-physician relations, staffing and resource adequacy, nurse participation in hospital affairs and nursing foundations for quality care) with sum of 32 items on a four Likert scale 1–4 (1 = strongly disagree; 4 = strongly agree) was used to measure PPE. Professional Practice Environment is the sum of all 32 items with a score range of 32 to 128. Scores between 1 and 32 indicated poor practice environment; a score between 33 and 85 showed moderate practice environment while scores above 85 showed good practice environment. Most studies have used this scale and it has proven satisfactory reliability (37, 38). The emotional exhaustion dimension of the “The Maslach Burnout Inventory (MBI)” Scale developed by Maslach, Jackson, and Leiter (1981) was used to measure emotional exhaustion of nurses. It is made up of 9 items and measured on a seven Likert scale (0 = Never; 6 = Everyday). Items summed and averaged to provide emotional exhaustion score. A score of 0 to 16, 17 to 26, and 27 and above indicated low, moderate and high emotional exhaustion respectively. Earlier studies which used the MBI demonstrated acceptable Cronbach’s alpha (39, 2). Coping strategies used by nurses were measured using the “Coping Scale” (40). It is measured on a four Likert scale (4 = Mostly true about me; 1 = Not true about me); and made up of 13 items. Higher scores indicate higher level of coping. The scale has a reliability of 0.69 (41).

In order to validate the tool, a pre-test of the standardised questionnaire was conducted on 10 nurses from SDA Hospital-Sunyani who met the inclusion criteria, which yielded reliability of 0.82. This exercise was done to ascertain the appropriateness of the questionnaire, whether it is difficult to understand or whether questionnaire contained culturally insensitive questions. To ensure reliability of the tool, the various part of the questionnaire was adapted except socio-demographic data. The Cronbach’s alpha for the scale was estimated as 0.86 after the test with component subscales as follows: PES-NWI − 0.88, MBI − 0.90 and Coping Scale of 0.74, all considered standard (42).

Ethical Approval and Consent to Participate

An ethical clearance was sought from the Noguchi Memorial Institute for Medical Research Institutional Review Board –IRB with number CPN 045/16–17 while respondents also gave verbal consent prior to data collection as approved by the IRB. Verbal consent was used as most participants were skeptical about undertaking written consent. The benefits and possible risks were also explained to respondents. Additionally, respondents’ anonymity and confidentiality were assured by indicating that they were not required to write their name on the questionnaire and by assuring them that their responses will not in any way be linked to them. Respondents were told that participation was voluntary and that they were free not to respond to questions they did not want. They were also informed that the completion of the questionnaire indicated explicit consent to use the data for research purposes.

Data Analysis

Statistical Package for Social Sciences (SPSS), version 23.0 was used for the data analysis. Descriptive statistics (means, frequencies and standard deviations) were used to summarise the variable of interest. Pearson correlation analysis was conducted to determine the relationship between professional practice environment and emotional exhaustion while multiple regression analysis was used to determine the predictors of emotional exhaustion of nurses. Data analysis was conducted at a significance level of 0.05 and power of 95%.

Results

Socio-demographic characteristics

The socio-demographic characteristics of the respondents are presented in Table 1 below. The study showed majority of registered nurses (62.1%) were between the ages of 26 and 35 years, with the mean age of 29.13 (SD = 5.061). Approximately 71% (n = 164) were females, about half of them (50.4%) were married while 191 (82.3%) had diploma in nursing education. The average working years for the respondents was 3.71 with most of them (83.6%, n = 194) having worked for a period of 1 to 6 years. In addition, 34% (n = 79) of the nurses worked at the Medical/Surgical Units, and more than half (56.6%) of the respondents were staff nurses. Most of the nurses (47.8%) attend 8-hour shift duty. Emotional exhaustion as measured on respondents’ emotional exhaustion. The mean score for emotional exhaustion was high (mean = 31.24, SD = 13.29); while most respondents (91.1%, n = 209) experienced moderate to high forms of emotional exhaustion at work.

Table 1

Socio-demographic characteristics of respondents

Variable (N = 232)

Frequency (n)

Percent (%)

Age of respondent

18–25

26–35

36–45

45–59

59

144

25

4

25.4

62.1

10.8

1.7

Gender

Male

Female

68

164

29.3

70.7

Marital status

Single

Married

Separated

113

117

2

48.7

50.4

0.9

Educational Qualification

Diploma

Bachelor

Masters

191

33

8

82.3

14.2

3.4

Years in Nursing

1–3 year

4–6 years

7–10 years

More than 10 years

106

88

24

14

45.7

37.9

10.3

6.0

Years in the hospital

1–3 year

4–6 years

7–10 years

More than 10 years

104

98

22

8

44.8

42.2

9.6

3.4

Area of work in hospital

Critical care

Emergency

Medical unit

Surgical unit

Obstetrics

Pediatric

Theatre/ICU

Orthopedics

Mental Health/Psychiatry

Others

14

34

46

33

31

28

17

6

14

9

6.0

14.7

19.8

14.2

13.4

12.1

7.3

2.6

6.0

3.9

Current rank of respondent

Staff Nurse/Midwives

Head nurse

Charge nurse

Supervisor

Directors

Others

131

59

26

13

1

2

56.6

25.4

11.2

5.6

0.4

0.9

Type of shift system by respondent

8 hours

12 hours

Both 8 and 12 hours

111

15

106

47.8

6.5

45.7

Emotional Exhaustion of Nurses

Low

Moderate

High

Mean (SD)

31.24 (13.29)

% (N)

9.9 (23)

53.9 (125)

36.2 (84)

Source: Field Data (2017)

Table 2

Correlation between selected variables and emotional exhaustion

Variables

EE

A

H

YN

YH

C

NMLS

NPR

NPHA

SRA

NFQC

PES

Emotional Exhaustion (EE)

1

.010

− .185**

− .003

.002

.066

− .164*

− .243**

− .538

− .517**

− .259**

− .338**

Age of nurse (A)

.010

1

.652**

.968**

.935**

.486**

.034

.027

.060

.033

− .051

.008

Highest qualification (H)

− .185*

.652**

1

.660**

.614**

.404**

.118

.232**

.104

.242**

.165*

.237**

Years in Nursing (YN)

− .003

.968**

.660**

1

.954**

.479**

.040

.031

.044

.027

− .060

.010

Years in hospital (YH)

.002

.935**

.614**

.954**

1

.484**

.069

.042

.051

.039

− .062

.018

Current rank of nurse (C)

.066

.486**

.404**

.479**

.484**

1

− .072

.055

.026

.029

− .068

.010

Nurse Manager Ability Leadership & Support (NMALS)

− .164*

.034

.118

.040

.069

− .072

1

.367**

.075

.359**

.280**

.382**

Nurse-Physician Relation (NPR)

− .243**

.027

.232**

.031

.042

.055

.367**

1

.409**

.892**

.749**

.936**

Nurses’ Participation in Hospital Affairs (NPHA)

− .538**

.060

.104

.044

.051

.026

.075

.409**

1

.464**

.380**

.468**

Staffing and Resource Adequacy (SRA)

− .517**

.033

.242**

.027

.039

.029

.359**

.892**

.464**

1

.801**

.949**

Nursing Foundation for Quality Care (NFQC)

− .295**

− .051

.165*

− .060

− .062

− .068

.280**

.749**

.380**

.801**

1

.861**

Nursing Practice Environment (NPE)

− .338**

.008

.237**

.010

.018

.010

.382**

.936**

.468**

.949**

.861**

1

∗∗Correlation is significant at p < 0.01 level (2-tailed). Correlation is significant at p < 0.05 level.

Table 2 above presents the correlation between selected demographic information, facets of practice environment and emotional exhaustion of registered nurses. The highest qualification of the nurse and all the facets of professional practice environment had significant negative correlations (p < 0.05) with emotional exhaustion as follow: highest qualification of the nurse (r=-.185), Nursing foundation for quality of care (r=-.259), Staffing and resource adequacy (r=-.517), Nurse Manager’s ability, leadership and support (r=-.164), Collegial Nurse-physician relation (r=-.243) and nurse participation in hospital affair (r=-.538).

Table 3

Multiple linear regression models for predictors of emotional exhaustion

Model

Unstandardized Coefficients

Standardized Coefficients

T

Sig.

B

SE

Beta

Model 1

 

(Constant)

17.563

9.725

 

1.806

.072

Age of nurse

.528

.415

.219

1.273

.204

Highest qualification of nurse

-4.063

1.046

− .273

-3.884

.000

Years in Nursing

.595

.253

.223

2.350

.020

Number of years in hospital

− .779

.636

− .196

-1.225

.222

Current rank of nurse

-2.832

.566

− .337

-5.004

.000

Model 1 Summary: R2= .281, F=(5, 226)= 17.622, p = .000

Model 2

 

(Constant)

44.309

10.146

 

4.367

.000

Age of nurse

.309

.387

.128

.797

.427

Highest qualification of nurse

-2.276

1.019

− .153

-2.233

.027

Years in Nursing

.381

.249

.143

1.531

.127

Number of years in hospital

− .536

.600

− .135

− .894

.372

Current rank of nurse

-1.276

.620

− .152

-2.057

.041

Nurse Manager’s Ability, Leadership & Support

− .206

.090

− .132

-2.289

.023

Collegial Nurse-Physician Relations

.415

.180

.205

2.302

.022

Nursing Foundations for Quality of Care

− .409

.324

− .103

-1.264

.208

Staffing and Resource Adequacy

− .461

.181

− .212

-2.543

.012

Nurse Participation in Hospital Affairs

-1.529

.434

− .270

-3.524

.001

Model 2 Summary: R2= .396, F=(10, 221)= 14.510, p = .000

Outcome: Emotional Exhaustion, 95% confidence level (α = .05).

Table 3 above shows the multiple linear regression model for the predictors of emotional exhaustion of nurses. In model 1, the results showed that the socio-demographic characteristics of nurses accounted for 28.1% variances of emotional exhaustion in nurses, with highest qualification (B=-.273, p = .000), years in nursing (B = .223, p = .020) and current rank of nurses (B=-.337, p = .000) being significant predictors. In the final model, professional practice environment variables were entered explaining an additional 11.5% of the variance in emotional exhaustion. In the final model, all variables were significant predictors of emotional exhaustion explaining 39.6% of the variation (Adjusted R2 = .396, F = 14.510, p = .000). Nurse Manager Ability, leadership and support (B=-.132, p = .023), collegial nurse-physician relations (B = .205, p = .022), Staffing and resource adequacy (B=-0.212, p = .012), and nurses participation in hospital affair (B=-.270, p = .001) were important predictors of emotional exhaustion although they differed in their effect.

Coping Strategies Used By Nurses

The means and standard deviations for coping strategies used by nurses during emotional exhaustion are found in Table 4 below. Nurses reported high usage of the following strategies; ‘I try to see the positive side of the situation’ (mean = 3.137), ‘I consider several alternatives for handling the problem’ (mean = 3.258), ‘I think about what it might say about bigger lifestyle changes I need to make’ (mean = 3.081), ‘I often try to remember that the problem is not as serious as it seems’ (mean = 3.163), ‘I often use exercise, hobbies, or meditation to help me get through a tough time’ (mean = 3.094), I make jokes about it or try to make light of it’ (mean = 3.142), ‘I make compromises’ (mean = 3.099) and ‘I take steps to take better care of myself and my family for the future’ (mean = 3.150).

Table 4

Coping strategies used by nurses

Coping Strategy

Min.

Max.

Mean

SD

I spend time trying to understand what happened

1.00

4.00

1.840

.860

I try to see the positive side of the situation.

1.00

4.00

3.137

.731

I try to step back from the problem and think about it from a different point of view.

1.00

4.00

1.879

.874

I consider several alternatives for handling the problem.

1.00

4.00

3.258

.652

I try to see the humor in it.

1.00

4.00

1.745

.827

I think about what it might say about bigger lifestyle changes I need to make.

1.00

4.00

3.081

.748

I often wait it out and see if it doesn’t take care of itself.

1.00

4.00

1.870

.868

I often try to remember that the problem is not as serious as it seems.

1.00

4.00

3.163

.714

I often use exercise, hobbies, or meditation to help me get through a tough time.

1.00

4.00

3.094

.749

I make jokes about it or try to make light of it.

1.00

4.00

3.142

.715

I make compromises.

1.00

4.00

3.099

.734

I take steps to take better care of myself and my family for the future.

1.00

4.00

3.150

.713

I work on making things better for the future by changing my habits, such as diet, exercise, budgeting, or staying in closer touch with people I care about

1.00

4.00

1.754

.824

Source: Field Data (2017)

Discussion

The study aimed at assessing rate of emotional exhaustion at the practice environment and establishing it determinants among Ghanaian nurses. It was done among various categories of nursing staff. Most practice environments present occupational threats to the nurse; among factors accounting for such threats are undesirable experience from discomfort and death of patients, conflicts with colleagues and other health professionals, the absence of support from nurse managers, among others. The nursing profession has therefore been categorised as a risk job for burnout (emotional exhaustion). The study reported higher level of emotional exhaustion (mean = 31.244) with most nurses (n = 209, 90.1%) affirming it as indicated in Table 1. Similar studies undertaken at the Sub-Saharan African regions posit that burnout in a form of emotional exhaustion ranges from 15 to 85% among nurses and midwives; and are usually attributed to work environments, work conflicts, and lack of social support (43, 44). Other researchers found emotional exhaustion among South African nurses (6), Chinese nurses (26, 7) and Peruvian nurses (25). It is well established that job stresses results from unsupportive practice environment, and it may affect the nurses’ satisfaction, turnover intentions and the quality of care delivery to patients (45). The high incidence of emotional exhaustion is logical as most nurses are exposed to stressful challenges in the course of their work such as providing palliative care to end-of-life stages of patients, as well as managing grieving process during death of patient. Again, extremely huge workloads from ones job as a result of the unsupportive work environment can also account for this phenomenon (5, 46, 24). High level of abuse from patients and their relatives and other senior members of the health team, dissatisfaction with salaries, limited opportunities for professional improvement and inadequate nurses’ participation in decision making in the hospital account for this menace; as these factors devalue the role nurses play in the health care set-up and this can affect them emotionally (47, 48, 6). Though, a lot has been done to curtail emotional exhaustion in Ghana, dynamic support from professional practice environment on daily work and family life can efficiently decrease this dimension of burnout among nurses in the near future.

The results support the fact that socio-demographic characteristics and facets of professional practice environment of nurses together are predictive of emotional exhaustion (adjusted R2 = 0.396). Regular upgrade of nurses through promotion to higher grades and ensuring nurses’ professional practice environment are vital to developing resilience in managing emotional exhaustion at the work place (49).

Additionally, nurses’ perceptions of emotional exhaustion are affected by staffing and resource adequacy in the work place (B=-0.212), suggesting that improving staffing and resources in the hospital can reduce emotional exhaustion of nurses by almost third through improving the quantity and quality of nursing human resources and medical equipment used in managing patients. Our findings are consistent with (21, 22) who concluded that poor staffing and resource inadequacy in practice environment are associated with emotional exhaustion of nurses. Institutional policies to enhance adequate staffing and material resources aimed at improving the welfare of nursing staff will have a very important role in reducing emotional exhaustion.

Nursing as a profession expects independence and greater capacity in decision-making in the clients’ care delivery. Therefore, cultivating the spirit of teamwork between health professionals and involving nurses in the management of the health facility would go a long way to eradicate emotional exhaustion and also increase nurses’ self-esteem in health care settings. The current study also found nurse participation in hospital affairs to be significantly predicted with emotional exhaustion (B=-0.270). This is consistent with a study which identified that nurses demonstrate more confident when they are involved in collective decision making in health facilities, more so when their professional roles are recognized. Again, work place where nurses and other health professional mutually perform their roles advertently provides foundation for teamwork and enhanced job outcomes (18, 51, 52). Nurses’ emotional exhaustion can lead to an upsurge of scarcity of nurses, and the consequent poor nursing care delivery to patients. It is, therefore, imperative and critical for health care managers to tackle issues of nurses’ involvement in hospital affairs.

Emotional exhaustion is high in work environment where nurses perceive that their nurse manager are not able to provide adequate leadership and support (B=-0.132) for advancement of the nursing profession. Poor perception of the nurse manager ability, leadership and support for nurses corresponds with increase in rates of emotional exhaustion among nurses, as support for most of the stresses nurse encounter is limited. As noted by (53), nursing leadership is valued and respected by subordinates as they expect a great deal of support from their leadership. When nursing leaders fail in their role at influencing nurses’ daily work practice and promoting their welfare through the creation of a positive practice environment; there is always emotional strains on nurses. It is imperative that health facilities find effective approaches to advancing the development and retention of experienced nurse manager to enhance implementation of mechanisms to reduce emotional exhaustion among nurses.

It is an established fact that positive nurse–physician relation at health facilities produces better outcomes for the nurse (56). A negative correlation was found between nurse-physician relation and emotional exhaustion. It is significant for health care managers to ensure efficient communication, mutual support and readiness to compromise having an insightful outcome on teamwork between nurse and physician. The need to develop ways of building professional respect for nurses, promoting productive contact between nurses and physicians and increasing the ability of nursing staff to participate in decision making can go a long way to reduce stress at the work place.

The findings of this study are similar with (55, 56), which suggested the use of a positive coping approach in the form of positive re-appraisal and firmness by attempting to see positive aspects of every challenge and also anxiety reduction approaches by performing recreational activities as remedies for successful stress management. Participating in leisure activities and having an active social life and conversation with relations, friends and peers relieve stress while also elevating the individual's mood to confront the challenges encountered. As reported, (57) also identified conflict resolution tool of ‘compromise’ as a means of addressing the emotional exhaustion arising from workplace conflict; and this position is consistent with the study findings. It is significant to note that in order to effectively cope with emotional exhaustion at the workplace, the use of both emotion-focused (e.g. reduction of anxiety and positive re-appraisal) and problem-focused approaches (communicating feeling and support, finding alternative reinforcement) cannot be overlooked. In essence, nurses and nurse managers should identify the best available interventions to mitigate emotional exhaustion in course of their duty.

Study Limitations

The results cannot be generalizable to other environments and territories as only five (5) health facilities were used. As with any research study, bias in response can affect the validity of the findings. Our response rate of 92.8%, however, is much higher than that recorded in most nursing surveys, reducing the potential for non-response bias to misrepresent our study findings.

Conclusions

With far more than 90% of registered nurses experiencing moderate to high emotional exhaustion; it may compromise the quality care of patient. Initiatives such as improved support from nurse manager and good relationship between nurse and physician can positively minimize this phenomenon among nurses. It is also necessary to assess nursing staff' workload in order to significantly reduce nurses’ emotional exhaustion related to their job-demand and also commit sufficient resources in the training of lower-ranking nurses on how to deal with emotional exhaustion. In an attempt to lessen emotional exhaustion, nurse managers should be accountable for ensuring and promoting reasonable safety in and out of the work environment. Analysing and mitigating risks measures in the sense of organizational structure is essential in building healthy nursing work environments. Furthermore, coping mechanisms when implemented on time can directly influence the interaction between the professional practice environment and the emotional exhaustion of nurses. Thus, when appropriate and effective intervention are employed, emotional exhaustion will be reduce and this will help enrich the quality of care delivered to patients.

Abbreviations

CHPS

Community-based Health Planning and Services; ICUs:Intensive Care Units; LMICs:Low-middle-income countries; IRB:Institutional Review Board; MBI:Maslach Burnout Inventory; PES-NWI:Practice Environment Scale of Nursing Work Index; SDA:Seventh Day Adventist; WHO:World Health Organization

Declarations

Ethics approval and consent to participate

An ethical clearance was sought from the Noguchi Memorial Institute for Medical Research Institutional Review Board –IRB with number CPN 045/16-17 while respondents also gave verbal consent prior to data collection as approved by the IRB. Verbal consent was used as most participants were skeptical about undertaking written consent. Clearance was obtained from the Ghana Health Service (GHS) Regional Health Directorate (Brong Ahafo) before the commencement of the study.

Consent for publication

All authors have approved the manuscript for submission.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing Interests

The authors declare that they have no competing interests.

Funding

No funding was received for this study.

Authors’ Contributions

CAP, ED and FN conceptualized and designed the study method. CAP and FN carried out the data collection, analysis and interpretation of data. CAP originally drafted the manuscript. All authors read, revised and approved the final manuscript for submission.

Acknowledgements

The authors wish to sincerely thank all Registered Nurses who participated in the study.

Authors’ information

1Department of Nursing, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. 2School of Nursing and Midwifery, University of Health and Allied Sciences, Ho, Ghana.  3School of Nursing and Midwifery, University of Ghana, Accra, Ghana.

References

  1. Maris MA. Examination of the Impact of Race-Related Stress and Culture-Specific Coping on Burnout and Compassion Fatigue in Black Nursing Assistants. 2013 [cited 2016 Apr 7]; Available from: http://scholarship.shu.edu/cgi/viewcontent.cgi?article=2878&context=dissertations
  2. Maslach C, Leiter MP. Early predictors of job burnout and engagement. Journal of Applied Psychology [Internet]. 2008 [cited 2016 May 10];93(3):498. Available from: http://psycnet.apa.org/journals/apl/93/3/498/
  3. Farahbod F, Chegini MG, Kouchakinejad L. The Association between Social Capital and Burnout in Nurses of a Trauma Referral Teaching Hospital. Acta Med Iran [Internet]. 2015 [cited 2016 Apr 17];53(4):214–219. Available from: https://www.researchgate.net/profile/Zahra_Mohtasham-Amiri2/publication/274964830_The_Association_between_Social_Capital_and_Burnout_in_Nurses_of_a_Trauma_Referral_Teaching_Hospital/links/5575a00008ae7521586aca8b.pdf
  4. Panunto MR, Guirardello E de B. Professional nursing practice: environment and emotional exhaustion among intensive care nurses. Rev Lat Am Enfermagem [Internet]. 2013 [cited 2016 Oct 9];21(3):765–772. Available from: http://www.scielo.br/scielo.php?pid=S0104-11692013000300765&script=sci_arttext&tlng=es http://dx.doi.org/10.1590/S0104-11692013000300016 
  5. Van Bogaert P, Clarke S, Wouters K, Franck E, Willems R, Mondelaers M. Impacts of unit-level nurse practice environment, workload and burnout on nurse-reported outcomes in psychiatric hospitals: a multilevel modelling approach. International Journal of Nursing Studies [Internet]. 2013 [cited 2016 Apr 15];50(3):357–365. Available from: http://www.sciencedirect.com/science/article/pii/S0020748912001770 DOI: 10.1111/j.1365-2702.2009.03128.x
  6. Klopper HC, Coetzee SK, Pretorius R, Bester P. Practice environment, job satisfaction and burnout of critical care nurses in South Africa. Journal of Nursing Management [Internet]. 2012 [cited 2016 Apr 15];20(5):685–695. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2834.2011.01350.x/full
  7. Wang Y, Dong W, Mauk K, Li P, Wan J, Yang G, et al. Nurses’ Practice Environment and Their Job Satisfaction: A Study on Nurses Caring for Older Adults in Shanghai. PloS One [Internet]. 2015 [cited 2016 Mar 17];10(9):e0138035. Available from: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138035
  8. Hayes LJ, O’Brien-Pallas L, Duffield C, Shamian J, Buchan J, Hughes F, et al. Nurse turnover: a literature review–an update. International Journal of Nursing Studies [Internet]. 2012 [cited 2016 May 22];49(7):887–905. Available from: http://www.sciencedirect.com/science/article/pii/S0020748911003798
  9. Basar U, Basim N. A cross-sectional survey on consequences of nurses’ burnout: moderating role of organizational politics. Journal of Advanced Nursing [Internet]. 2016 [cited 2016 Apr 7]; Available from: http://onlinelibrary.wiley.com/doi/10.1111/jan.12958/full
  10. Koy V, Yunibhand J, Angsuroch Y, Turale S, Rojnawee S. Registered nurses’ perceptions of factors influencing nursing care quality: A structural equation modeling study. Nursing of Health Sciences. 2020;22(1):91–98.
  11. Shorter M, Stayt LC. Critical care nurses’ experiences of grief in an adult intensive care unit. Journal of Advanced Nursing. 2010;66(1):159–167. DOI: 10.1111/j.1365-2648.2009.05191.x
  12. Tamini BK, Kord B. Burnout components as predictors of job & life satisfaction of university employees. Indian Journal of Ind. Relation [Internet]. 2011 [cited 2016 May 9];126–137. Available from: http://www.jstor.org/stable/23070560
  13. Li X, Guan L, Chang H, Zhang B. Core self-evaluation and burnout among nurses: the mediating role of coping styles. PloS One [Internet]. 2014 [cited 2016 May 11];9(12):e115799. Available from: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0115799
  14. Williamson CR. The Relationship between Stressors and Intent to Leave Nursing Homes among Directors of Nursing. Journal of Social Change [Internet]. 2015 [cited 2016 Apr 7];7(1):7. Available from: http://scholarworks.waldenu.edu/jsc/vol7/iss1/7/
  15. Van Bogaert P, Dilles T, Wouters K, Van Rompaey B. Practice environment, work characteristics and levels of burnout as predictors of nurse reported job outcomes, quality of care and patient adverse events: A study across residential aged care services. Open Journal of Nursing [Internet]. 2014 [cited 2016 Apr 15]; 2014. Available from: http://file.scirp.org/Html/2-1440270_45311.htm
  16. Dugani S, Afari H, Hirschhorn LR, Ratcliffe H, Veillard J, Martin G, et al. Prevalence and factors associated with burnout among frontline primary health care providers in low-and middle-income countries: a systematic review. Gates Open Research. 2018;2.
  17. Laschinger HKS, Borgogni L, Consiglio C, Read E. The effects of authentic leadership, six areas of worklife, and occupational coping self-efficacy on new graduate nurses’ burnout and mental health: A cross-sectional study. International Journal of Nursing Studies. 2015;52(6):1080–1089.
  18. Lambrou P, Kontodimopoulos N, Niakas D. Motivation and job satisfaction among medical and nursing staff in a Cyprus public general hospital. Human Resources of Health. 2010;8(1):26.
  19. Zhang L, You L, Liu K, Zheng J, Fang J, Lu M, et al. The association of Chinese hospital work environment with nurse burnout, job satisfaction, and intention to leave. Nursing Outlook [Internet]. 2014 [cited 2016 Apr 15];62(2):128–137. Available from: http://www.sciencedirect.com/science/article/pii/S002965541300225X
  20. Van Bogaert P, Timmermans O, Weeks SM, van Heusden D, Wouters K, Franck E. Nursing unit teams matter: Impact of unit-level nurse practice environment, nurse work characteristics, and burnout on nurse reported job outcomes, and quality of care, and patient adverse events—A cross-sectional survey. International Journal of Nursing Studies [Internet]. 2014 [cited 2016 Apr 15];51(8):1123–1134. Available from: http://www.sciencedirect.com/science/article/pii/S0020748913003878
  21. Khamisa N, Oldenburg B, Peltzer K, Ilic D. Work related stress, burnout, job satisfaction and general health of nurses. International Journal of Environmental Research and Public Health. 2015;12(1):652–666.
  22. Rochefort CM, Clarke SP. Nurses’ work environments, care rationing, job outcomes, and quality of care on neonatal units. Journal of Advanced Nursing. 2010;66(10):2213–2224.
  23. Saeed A. Wanted: 2.4 million nurses, and that’s just in India. Bull World Health Organ [Internet]. 2010 [cited 2016 May 10];88(5):327–328. Available from: http://www.scielosp.org/scielo.php?pid=S0042-96862010000500006&script=sci_arttext&tlng=es
  24. Rushton CH, Batcheller J, Schroeder K, Donohue P. Burnout and resilience among nurses practicing in high-intensity settings. American Journal of Critical Care. 2015;24(5):412–420.
  25. Beas R, Maticorena-Quevedo J, Anduaga-Beramendi A, Mayta-Tristán P. Emergency Specialty and Burnout Syndrome in Peruvian Nurses: A National Survey. 2017;
  26. Wei R, Ji H, Li J, Zhang L. Active intervention can decrease burnout in ED nurses. Journal of Emergency Nursing. 2017;43(2):145–149.
  27. Odonkor ST, Frimpong K. Burnout among Healthcare Professionals in Ghana: A Critical Assessment. BioMed Research International. 2020;2020.
  28. Yeboah MA, Ansong MO, Antwi HA, Yiranbon E, Anyan F, Gyebil F. Determinants of Workplace Stress among Healthcare Professionals in Ghana: An Empirical Analysis. International Journal of Business and Social Science [Internet]. 2014 [cited 2016 Apr 7];5(4). Available from: http://search.proquest.com/openview/ec25d5872bbe5a79cd32417cc5112b6c/1?pq-origsite=gscholar
  29. Ofori-Atta A, Jack H. Dilemmas of Healthcare Professionals in Ghana. Change Trends Mental Health Care Research Ghana [Internet]. 2015 [cited 2016 Apr 7];2. Available from: https://books.google.com/books?hl=en&lr=&id=1x6-CQAAQBAJ&oi=fnd&pg=PA244&dq=Burnout+of+nurses+in+practice+in+Ghana&ots=mDVI7168mh&sig=s5RhFWBJAreCx2TTyaLgn0KeL-g
  30. Yawopare F. Experiences of Community Psychiatric Nurses in the Discharge of their Duty: A Study in the Accra Metropolis [Internet]. University of Ghana; 2013 [cited 2016 Apr 7]. Available from: http://ugspace.ug.edu.gh/handle/123456789/5298
  31. Kwei-Narh B. From a clinic to a hospital, more than we bargained for: public health nurses’ report of day-to-day work conditions after an upgrade. 2013 [cited 2016 Apr 7]; Available from: https://www.duo.uio.no/handle/10852/38409
  32. Kar S, Suar D. Role of Burnout in the Relationship between Job Demands and Job Outcomes among Indian Nurses. Vikalpa J Decis Mak [Internet]. 2014 [cited 2016 May 10];39(4):23–37. Available from: http://www.vikalpa.com/pdf/articles/2014/vol-34-4-23-37.pdf
  33. Sundgren I, Gustafsson S. Look Beyond the walls: A qualitative interview study about nurses’ experiences of pediatric care in Ghana. 2016 [cited 2016 Apr 7]; Available from: http://www.diva-portal.org/smash/record.jsf?pid=diva2:906291
  34. Service GS. 2010 Population and Housing Census Report. Ghana Statistical Service; 2014.
  35. Service GH. Ghana health service 2014 annual report. Ghana Health Service Accra, Ghana; 2015.
  36. Lake ET. Development of the practice environment scale of the Nursing Work Index. Research Nursing Health. 2002;25 (3):176–188.
  37. Laschinger HKS. Effect of empowerment on professional practice environments, work satisfaction, and patient care quality: Further testing the nursing worklife model. Journal of Nursing Care Quality [Internet]. 2008 [cited 2016 Mar 16];23 (4):322–330. Available from: http://journals.lww.com/jncqjournal/Abstract/2008/10000/Effect_of_Empowerment_on_Professional_Practice.7.aspx
  38. Van Bogaert P, Timmermans O, Weeks SM, van Heusden D, Wouters K, Franck E. Nursing unit teams matter: Impact of unit-level nurse practice environment, nurse work characteristics, and burnout on nurse reported job outcomes, and quality of care, and patient adverse events—A cross-sectional survey. International Journal of Nursing Studies [Internet]. 2014 [cited 2016 Mar 16];51(8):1123–1134. Available from: http://www.sciencedirect.com/science/article/pii/S0020748913003878
  39. Kowalski C, Ernstmann N. Commentary on Van Bogaert P Commentary on Kowalski C, Ommen O, Driller E, Ernstmann N, Wirtz M, Koehler T & Pfaff H (2010) Burnout in nurses–the relationship between social capital in hospitals and emotional exhaustion. Journal of Clinical Nursing 19, 1654–1663. Journal of Clinical Nursing20, 913–914. Journal of Clinical Nursing [Internet]. 2012 [cited 2016 Apr 17];21(9–10):1490–1491. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2702.2011.04051.x/full
  40. hamby, grych and banyard, 2013 - Google Search [Internet]. [cited 2020 Jun 16]. Available from: https://www.google.com/search?client=firefox-b-d&q=hamby%2C+grych+and+banyard%2C+2013
  41. Hamby S, Taylor E, Smith A, Blount Z. Resilience Portfolio Questionnaire manual: Scales for youth. Sewanee, TN: Life Paths Research Center; 2018.
  42. Polit DF, Beck CT. Generalization in quantitative and qualitative research: Myths and strategies. International Journal of Nursing Studies. 2010;47(11):1451–1458.
  43. Dubale BW, Friedman LE, Chemali Z, Denninger JW, Mehta DH, Alem A, et al. Systematic review of burnout among healthcare providers in sub-Saharan Africa. BMC Public Health. 2019;19(1):1247.
  44. EGM M, JM K, JB B. Burnout level and associated factors in a Sub-Saharan African medical setting: prospective cross-sectional survey. 2020;
  45. Koy V, Yunibhand J, Angsuroch Y, Fisher ML. Relationship between nursing care quality, nurse staffing, nurse job satisfaction, nurse practice environment, and burnout: literature review. International Journal of Research in Medical Sciences. 2017;3(8):1825–1831.
  46. Bijari B, Abassi A. Prevalence of burnout syndrome and associated factors among rural health workers (Behvarzes) in South Khorasan. Iran Red Crescent Medical Journal. 2016;18(10).
  47. Edward K, Stephenson J, Ousey K, Lui S, Warelow P, Giandinoto J-A. A systematic review and meta-analysis of factors that relate to aggression perpetrated against nurses by patients/relatives or staff. Journal of Clinical Nursing. 2016;25(3–4):289–299.
  48. Kim Y-O, Yi Y-J. Influence of verbal abuse on job stress for special unit nurses and general ward nurses in general hospitals. Journal of Korean Academic Nursing Adm. 2017;23(3):323–335.
  49. Arrogante O. Mediator effect of resilience between burnout and health in nursing staff. Enfermeria Clinical. 2013;24(5):283–289.
  50. Khamisa N, Oldenburg B, Peltzer K, Ilic D. Work related stress, burnout, job satisfaction and general health of nurses. International Journal of Environmental Research in Public Health. 2015;12(1):652–666.
  51. Clark RC, Greenawald M. Nurse-physician leadership: insights into interprofessional collaboration. JONA Journal of Nursing Administration. 2013;43(12):653–659.
  52. Regan S, Laschinger HK, Wong CA. The influence of empowerment, authentic leadership, and professional practice environments on nurses’ perceived interprofessional collaboration. Journal of Nursing Management. 2016;24(1):E54–E61.
  53. Laschinger HKS, Borgogni L, Consiglio C, Read E. The effects of authentic leadership, six areas of worklife, and occupational coping self-efficacy on new graduate nurses’ burnout and mental health: A cross-sectional study. International Journal of Nursing Studies. 2015;52(6):1080–1089.
  54. Van Bogaert P, Kowalski C, Weeks SM, Clarke SP, others. The relationship between nurse practice environment, nurse work characteristics, burnout and job outcome and quality of nursing care: a cross-sectional survey. International Journal of Nursing Studies. 2013;50(12):1667–1677.
  55. Mañas-Mañas I, Franco-Justo C, Cangas AJ, Soriano E. Differential effect of level of self-regulation and mindfulness training on coping strategies used by university students. 2018;
  56. Mette J, Wirth T, Nienhaus A, Harth V, Mache S. “I need to take care of myself”: a qualitative study on coping strategies, support and health promotion for social workers serving refugees and homeless individuals. Journal of Occupational and Medical Toxicology. 2020;15(1):1–15.
  57. Zhang M, Wang W, Millar R, Li G, Yan F. Coping and compromise: a qualitative study of how primary health care providers respond to health reform in China. Human Resource of Health. 2017;15(1):1–12.