Nurse Practitioner Occupational Burnout: A Focus on the Variables and Themes
Tanya Schlemmer*
College of Nursing and Health Sciences, Department of Graduate Nursing, University of Texas at Tyler, Tyler, Texas, USA
*Corresponding author: Tanya Schlemmer, College of Nursing and Health Sciences, Department of Graduate Nursing, University of Texas at Tyler, 6600 Red Bud Drive, Flower Mound, Tyler, Texas 75022, USA
Received Date: 30 April, 2020; Accepted Date: 26 May, 2020; Published Date: 29 May, 2020
Citation: Schlemmer T (2020) Nurse Practitioner Occupational Burnout: A Focus on the Variables and Themes. Int J Nurs Health Care Res 03: 1160. DOI: 10.29011/2688-9501.101160
Abstract
Purpose: The prevalence of occupational burnout is high amongst service professionals and the nursing profession is no different. The rate of occupational burnout amongst nursing professionals and medical professionals is high. The themes or impact of occupational burnout amongst Nurse Practitioners is not well described in the literature. Herein this article describes the investigation into the issue of nurse practitioners and occupational burnout.
Data Sources: Scientific literature review, CINHAHL Complete and other online literature databases and resources. A State of the Science systematic review was conducted to further examine this issue to identify the prevalence of the problem amongst nurse practitioners, to identify factors or specific areas of concern, and to investigate if nurse practitioners’ outcomes toward occupational burnout as they align with similar focus areas in medical practice.
Conclusion: The literature results suggest that higher demands, lower resources, and lower adaptive organizational attitudes are associated with burnout. Themes for female gender, role as a generalist, in family practice or as faculty revealed increased burnout risk. Environment, personal characteristics and qualities are implicated as specific variables accelerating the risk for burnout.
Implications for Practice: The environment, locus of control factors (internal and external) and how nurse practitioners and women providers, are perceived impact care delivery for those directly associated and ultimately impact occupational burnout amongst nurse practitioners.
Keywords
Alleviating and recognizing variables for increased risk of burnout are the key components toward reduction and elimination of risk; Advanced practice nurse (APN); Advanced practice provider (APP); Burnout, Burn-out; Goal orientation; Nurse practitioner (NP); Occupational burnout; Organizational climate; Professional burnout; Role ambiguity; Vulnerability; Work environment (incongruous/threatening), and locus of control (external); Work-life balance
Introduction
Nursing as a profession has long been plagued with professional or occupational burnout for as long as people have been working. The prevalence of professional or occupational burnout is not lost on the nursing as a profession. The prevalence of burnout among nursing professionals is high and the following indicators have been studied: Gender, age, marital status, level of healthcare, shift work, work shift and healthcare service areas predicted at least one of the dimensions of the syndrome. Burnout is a combination of chronic exhaustion and negative attitudes toward work with damaging consequences for employee health and productivity. Chronic burnout is considered as an important moderator of daily employee functioning. Bakker & Costac, [1] state “Chronic burnout strengthens the loss cycle of daily job demands, daily exhaustion, and daily self-undermining and the burned-out worker needs help in structurally changing their working conditions and health status” [1].
The medical model has recognized the propensity for medical students and physicians alike, to progress into burnout with studies focusing on burnout in the various practice areas. Physician surveys have been conducted within each of the specialty focus areas that physicians practice with alarming high rates of physician occupational burnout being recognized. Many additional studies have been conducted for emergency department physicians, which identify a higher burnout rate within that setting, specifically noting 60% physician burnout rates. There is limited research on advanced practice nurse’s external or work locus of control and the impact of professional or occupational burnout. The concept of professional or occupational burnout and the impact on the Nurse Practitioner’s (NP’s) role is of primary focus. The role of the Nurse Practitioner (NP) and risk of burnout may be equivalent to physicians, in the primary care provider role or general Internal Medicine - is of interest. In addition, understanding or recognizing the relationship of occupational burnout amongst primary healthcare providers to patient safety outcomes is of concern for the following risks: medical errors, and lower patient satisfaction [2] or inability of patients to reach desired outcomes. There are several effects of physician burnout, as reported on many longitudinal surveys being conducted within the medical community, but few surveys identified are pertaining specifically to NP’s.
Purpose
The purpose was to explore the literature for incidence, themes and factors associated with occupational burnout amongst Nurse Practitioner’s [Family (FNP), Adult (ANP), Adult-Geriatric (AGNP), Gerontological (GNP)] actively employed in clinical practice as a Primary Care Provider (PCP) or Advanced Practice Provider (APP).
Definitions
Nurse Practitioner: Nurse Practitioners who are licensed to practice (diagnose, prescribe and treat) medicine and may do so independently [3].
Burnout: Burnout is considered a chronic response to prolonged, job-related, negative stressors [4]. “A negative state of physical, emotional, and mental exhaustion that is the result of a gradual process of disillusionment” [5].
Burnout Syndrome: Freudenberger [6] was the first clinician to coin the term “Burnout Syndrome” to describe a state of physical and emotional depletion experienced most frequently in human service professions, such as health care, mental health, and social services, ones involving caregiving relationships to service recipients.
Burnout Theory: “All persons belonging to the phases of frustrated strivings, success depression, strenuous noncommitment, general depression, circumscribed frustration and work alienation, irrespective of their etiological pattern” qualifies as experiencing burnout and is a theoretical approach grouped on a hierarchy of levels: loss of autonomy, environmental factors and personality dispositions, individual case studies and individual action episodes or disturbed action episodes [5].
Background
The medical profession has evaluated burnout within the various focus areas of physician practice. According to the Medscape Family Physician Lifestyle Report (2017), studies reveal 55-60% burnout, particularly amongst Emergency Room, Internal Medicine and Family Practice focus areas [7]. Their findings identify significant increases within the longitudinal studies for occupational burnout in the recent 10-years. The comparison from prior studies conducted in 2011, reflected an increase in burn-out by 10% in all physician specialties (Medscape, 2015, 2016). Influencing factors ranking amongst the culprits of burnout included: work-life balance, organizational coherence, electronic health record burdens, paperwork, volume of patients seen and other administrative burdens were highest on the impact of burnout. Women physicians had a higher burnout risk as did younger physicians than older physicians who had more experience in practice or had more years in practice [8]. Maslach & Leiter [9] identified three interrelated dimensions to burnout continuum: exhaustion-energy, cynicism-involvement, and inefficacy-efficacy and found there is a strong robust relationship between them. Lack of recognition as cited by Cordes & Dougherty [10], from service recipients, colleagues, managers, and external stakeholders devalues both the work and the workers and is closely associated with feelings of inefficacy as cited by Maslach [9]. Research based on these theoretical frameworks of Bakker, et al. [11]; Schaufeli, et al. [12], has found that a lack of reciprocity, or imbalanced social exchange processes, is predictive of burnout while control over the workplace hazards increases employees’ energy and health at work.
Methods
Design: Systematic Research Review
Data Sources: CINHAHL Complete [1993 - 2017]. Cochrane Library [1990 - 2017]. CQEW Nursing [1993 - 2017]. Health Source: Nursing Academic Ed. [1981 - 2017]. Medline [1992 - 2017]. Medscape [1993 - 2017]. PubMed [1990 - 2017]. PsychINFO [1981 - 2017]. See the data source matrix within (Figure 1).
Database Selection: Electronic database selection, the number of potential articles and those articles reviewed. CINHAHL Complete, MEDLINE, Health and Psyche Instruments, Health Source: Nursing/Academic Edition, Academic Search Complete, Professional Development Collection, Psychology and Behavioral Sciences, Health Reference Center Academic (192). See the database listing within (Table 1) and the literature review listing within (Table 2).
Exclusion Criteria: Duplicates were removed. Focus areas for Critical Care, Certified Registered Nurse Anesthetist (CRNA), Clinical Nurse Specialist (CNS), Neonatal, Pediatrics, oncology, Psych/Mental Health, Midwife, general surgery, obstetrics, women’s health, Palliative Care/Hospice, Long-term Care, Nursing Management, and acute care specialty services as well as other health care staff roles or non-relevant focus area topics were excluded.
Inclusion Criteria: Published peer reviewed observational, cross-sectional, longitudinal and prospective studies focusing on burnout in the role of a direct health care provider as an Advanced Practice Nurse, Nurse Practitioner (certified in Family, Adult, Adult-Geriatrics and Gerontological), Advanced Practice Provider, Physician Assistants (PAs), physician’s in comparison to NP and PA roles within primary care, Internal Medicine, or as a generalist medical provider role with a predominant focus in areas related to NP practice environments for primary care and Internal Medicine type practices were included. English language was required and there were no restrictions on year of publication.
Literature Review
Burnout
Leiter & Maslach [30] reveal there are five profiles that have emerged from the burnout analysis: Burnout (high on all three dimensions), Engagement (low on all three), Overextended (high on exhaustion only), Disengaged (high on cynicism only), and Ineffective (high on inefficacy only). Each of these profiles showed a different pattern of correlates with organizational variables. The Disengaged profile was more negative than Overextended, and closer to the Burnout profile, which argues against the use of exhaustion alone as a proxy for burnout. Canadas-De la Fuente, et al. [18] identified that neuroticism, agreeability, extraversion and conscientiousness are personality traits that predict at least two of the dimensions of burnout syndrome in nurses. Historically, studies investigated the physical and psychological symptoms, complaints or effects of burnout on the individual within various service professions or occupations. Burnout may be interpreted negatively as avoidance of professional responsibilities [31] or loss of job interest [32] in a way that often leaves the person feeling unsupported. Risk factors for burnout include a lack of observable clinical effectiveness, isolation, ambivalence about competency and working with resistive, confrontational, violent or aggressive clients [33].
Work Locus of Control
Perceptions of lack of job control are antecedent to burnout, which, in turn, precedes depressive affect. McKnight, & Glass [15] wrote greater burnout is associated with less personal control. The article identified a perceived lack of control led to burnout and then to a depressive affect. The results of a 2-year longitudinal study of nurses reflected on the initial assessment and follow-up, whereby the burned-out nurses displayed accurate perceptions of job uncontrollability. A national survey conducted in 2012, within the Academic General Internal Medicine (GIM) division [25] reported: short visits, insufficient support staff, documentation time pressure, and undervaluing education as key themes. Other factors for work condition identified included: very busy or chaotic work environments and too much time spent on Electronic Medical (EMR) with additional EMR challenges as impacting factors for stress and burnout, particularly in the ambulatory or out-patient locations versus the inpatient or hospital areas. The Linzer study, conducted in 2012, revealed burnout was associated with high stress, low work control and low values alignment with leaders [25]. A survey was conducted amongst 465 physician generalists (general internal medicine, primary care internal medicine, preventive medicine, or hospital internal medicine) in one major hospital. The group generalist group represented various roles general practice, research and academia demonstrated more time spent in meaningful work resulted greater satisfaction and less burnout. Women represented 23% of those surveyed. The results of the overall study revealed 34% of faculty members were burned out. Generalists were more likely to be burned out than subspecialists (42.3%), women (43%) and physicians younger than 55 years (37.3%) were recognized as burned out. Burnout was observed without regard for relationship status or if there were children 18 years or younger living at home [16].
The study conducted reported by Jiang & Probst [14] evaluated individual-level job insecurity and burnout. The Conservation of Resources (COR) theory was used in the study. The basic tenant of COR theory is that people are driven to maintain, foster, and protect resources (i.e., objects, conditions, personal characteristics, energies) and that income inequality at the country-level and statelevel threatens one’s obtainment of object resources, which in turn would result in an exacerbation of personal stress response and burnout. The findings contribute to the literature on psychological health disparities for income-inequality and the results support the exacerbating role of higher-level income inequality on the jobinsecurity-burnout relationship. There was a positive relationship to the emotional exhaustion, cynicism for burnout and was stronger in context with greater income inequality. Wang Q, et al. [22] evaluated work locus of control and distinguishes between individuals who have an internal locus of control (i.e., those who believe that they can control their own lives) and individuals who have an external locus of control (i.e., those who believe that their lives are controlled by outside influences, such as other people or fate) within the work environment. Their hypothesis stated: “Work locus of control will yield stronger relationships with work-related criteria than general locus of control” and yielded a stronger relationship with work-related criteria (e.g., job satisfaction, affective commitment, and burnout) than general locus of control. The study demonstrated three conclusions: 1) many of the effects of locus of control may occur via perceptual processes, 2) locus of control may influence job performance and career success via effects on motivational processes, and 3), locus of control may influence interpersonal relationships at work via effects on one’s behavior in social situations.
Alacron [28] conducted a meta-analysis was conducted on job demands, resources, and attitudes and their relationship with burnout associated to the COR theory. The hypotheses in the study predicted that demands, resources, and organizational attitudes would be related to each dimension of burnout, several relations are worth noting. First, all three demands had significant relations with burnout. Specifically, demands had the strongest relation with exhaustion. Organizational attitudes had moderate to strong relations with burnout. Reduced personal accomplishment had moderate correlations with job attitudes. Resources had seemingly consistent relations with exhaustion and cynicism, but a stronger relation with reduced personal accomplishment.
Work-Life Balance and Engagement
Small to medium Sized Enterprise Owner-Managers (SMEs) are vulnerable to burnout and Fernet, et al. [19], discovered complex pathways toward burnout and job stressors associated with the contextual factors of entrepreneurial orientation (occupational loneliness) with low versus high entrepreneurial orientation.
Innanena, et al. [20] conducted a longitudinal study to identify different profiles of subject wellbeing at work (i.e. burnout, work engagement and workaholism) among highly educated employees. It is noted that work engaged employees experienced detachment and relaxation, life satisfaction and rewards. The study found two latent classes: Engaged and Exhausted-Workaholic. The results revealed that employees with the Engaged profile experienced high levels of energy and dedication, whereas employees with the Exhausted-Workaholic profile experienced exhaustion, cynicism and workaholism. Social pessimism was further identified as the transition from high education to work predicted poor subjective well-being at work. Organizational climate may be a barrier for nurse practitioners within primary care. The work conducted by Poghosyan, et al. [17] investigated this issue and found the following themes: poor communication and lack of support for NPs, prevent NPs in primary care settings from fully utilizing their skills and knowledge to provide high-quality patient care. Even though NPs are providing care to millions of patients, little is known about outcome affects regarding organizational climate, the workforce, and the direct care impact. Linzer, et al. [25] conducted an email survey of physicians, nurse practitioners, and physician assistants in 15 General Internal Medicine (GIM) divisions. The survey participants were recruited from Veterans Affairs (VA) divisions form around the United States where a ten-item survey queried stress, burnout, and work conditions such as electronic medical record (EMR) challenges for the VA and civilian clinicians. The survey items were categorized into burnout, high stress, chaos, good teamwork, high values alignment documentation pressures and excessive EMR use. Key themes from the qualitative analysis included: short visits, insufficient support staff, a Relative Value Unit mentality, documentation time pressure, and undervaluing education. The survey response rate was 47% with 579 responses from 1235 clinicians sampled. The high stress was present in 67 %, with 38 % burned out (burnout range 10-56 % by division). Half of respondents had low work control, 60 % reported high documentation time pressure, half described too much home EMR time, and most reported very busy or chaotic workplaces.
Well-Being, Burnout and Patient Safety
Michie & Williams [29] found an association between work factors and psychological ill health among health care staff. These factors are likely to lead to problems for patients in that both the quantity and quality of patient care may be diminished and thus a systematic examination of selected databases was conducted. The results revealed the following themes: doctors found an association between work control and social support and psychological distress; there was a lack of co-worker support among nurses; job influence, organizational climate and role ambiguity were associated with psychological distress. In addition, sickness absence was associated with work pressures and lack of training, unsupportive management style, role ambiguity, tolerance of absenteeism, and low pay. Hall, et al. [24] conducted a systematic research review to determine whether there is an association between healthcare professionals’ wellbeing, burnout with patient safety. Forty-six studies were identified and most of the studies reviewed identified that poor wellbeing and moderate to high levels of burnout were associated. The patient safety outcomes: medical errors-lacked ability to determine causality. There was a correlation between poor wellbeing and worse patient safety in 16 of 27 studies and there was a significant association between burnout and patient safety in 21 of 30 studies, with four additional studies finding an association between one or more (but not all) subscales of the burnout measures employed and patient safety.
A Dutch study was conducted to examine work engagement as a positive antipode and the differentiation of personality and temperament for neuroticism and low extraversion. The study conducted by Langelaan, et al. [26] hypothesized that employees who score high on burnout are characterized by high levels of neuroticism and low levels of extraversion and that there would be a plausible positive relationship with extraversion and a negative relationship with neuroticism. The results indicted a high neuroticism as a core characteristic of burnout and work engagement is characterized by low neuroticism in combination with high extraversion and high levels of mobility. Personality and temperament were shown to make a difference in work engagement and burnout. Dunkley, et al. [27] found an association between Self-Criticism (SC) and neuroticism with self-report depressive symptoms, interviewer-rated major depression, and global domains of psychosocial functional impairment. Their research found a relationship between SC and depressive symptoms is explained by the tendency of these individuals to experience higher levels of daily stress and to negatively appraise the availability of social resources. In addition, their research found negative social interactions were indirectly related to the depression/ global impairment composite through lower perceived social support, but that negative social interactions were not directly related to the depression/global impairment over time. They conferred a possibility that negative social interactions might not be a unique prospective predictor of maladjustment outcomes over time.
Discussion
Many psychological and behavioral theories and tools have been used to study and evaluate burnout. Maslach has a burnout theory (1981a, 1982a, 1982c, 1986) as well as an inventory tool (1981, 1982a, 1982c, 1984), Maslach & Jackson inventory tool manual [34] which has been a standard for conducting research focusing on occupational burnout. However, there are very few studies conducted specific to advanced practice nurses or nurse practitioners specifically. The healthcare landscape has once again altered toward another paradigm shift - including advanced practice providers amongst the provider variables. The synthesis review identified the five profiles that emerged from burnout research analysis: Burnout (high on all three dimensions), Engagement (low on all three), Overextended (high on exhaustion only), Disengaged (high on cynicism only), and Ineffective (high on inefficacy only) conducted by Leiter & Maslach [9]. Each of the profiles showed a different pattern of correlates with organizational variables and the disengaged profile was more negative than Overextended profile, and closer to the Burnout profile, which argues against the use of exhaustion alone as a proxy for burnout. The Canadas-De la Fuente, et al. [18], found variable statistically significant differences in burnout levels associated with the following variables: age, gender, marital status, having children, level of healthcare, type of work shift, healthcare service areas and conducting administrative tasks. In addition, their research also demonstrated that burnout was associated with personality-related variables.
Dunkley, et al. [27] found an association between SelfCriticism (SC) and neuroticism with self-report depressive symptoms, interviewer-rated major depression, and global domains of psychosocial functional impairment. Their research found a relationship between SC and depressive symptoms is explained by the tendency of these individuals to experience higher levels of daily stress and to negatively appraise the availability of social resources. In addition, their research found negative social interactions were indirectly related to the depression/ global impairment composite through lower perceived social support, but that negative social interactions were not directly related to the depression/global impairment over time. Houkes, et al. [21] found evidence for gender differences between men and women in the etiological process of burnout or causal order of the three burnout dimensions. This research identified that women seem to develop more emotional exhaustion over time, even when working fewer hours than male GPs. In addition, men scored - on average - higher on depersonalization scores. Women who are exhausted and depersonalizing their patients, also felt guilty and less certain about their work and the quality of care provided.
The evidence discussed in Poghosyan, et al. [17] supports improvement of organizational climate for NP practice and identified the following organizational climate barriers within primary care settings: such as poor communication and lack of support for NPs; preventing NPs in those settings from fully utilizing their skills and knowledge to provide high-quality patient care; have ethical challenges; low levels of empowerment; and greater dissatisfaction within intra-practice partnerships and NPs were least satisfied with intra-practice partnership/ collegiality, professional growth, and benefits. The research showed that when entrepreneurial orientation is low, the conditional indirect effect of loneliness was stronger and significant, but weaker and not significant when entrepreneurial orientation is high. Jiang and Probst [14] drew upon the basic tenant of conservation of resource theory is that people are driven to maintain, foster, and protect resources (i.e., objects, conditions, personal characteristics, energies) in their research and confirmed the following: job insecurity is positively related to burnout (i.e., exhaustion alone; emotional exhaustion and cynicism, Income inequality, at the country level and at the state level, moderates the positive relation between job insecurity and burnout such that this relationship is stronger within the context of greater income inequality.
Literature review research results by Innanena, et al. [20] revealed the following: that employees with the Engaged profile experienced high levels of energy and dedication, whereas employees with the Exhausted-Workaholic profile experienced exhaustion, cynicism and workaholism; social pessimism in the transition from high education to work predicted poor subjective well-being at work; workaholism decreased during the career among members of the Exhausted-workaholic profile; and that engaged employees experienced detachment and relaxation, life satisfaction and rewards. In addition, the results by Langelaan, et al. [26] identified that high neuroticism is the core characteristic of burnout, whereas work engagement is characterized by high extraversion and high levels of mobility in combination with low neuroticism. Thus, personality and temperament makes a difference in burnout and work engagement. Hall, et al. [24] identified a significant correlation between poor wellbeing and worse patient safety in 16 or 27 studies that measured wellbeing and found a significant association between burnout and patient safety in 21 of 30 studies that measured burnout. Their results provided support for the hypotheses about early predictors of burnout and also found a correlation for the three dimensions of burnout and the six areas of work-life. Women (43%) and physicians younger than 55 years (37.3%) had higher rates of burnout in the study conducted by Shanafelt, et al. [16]. Their study identified that those spending less than 20% of their time (approximately 1 day/week) on the most meaningful activity had higher rates of burnout (53.8%) and the time spent on the most meaningful activity was the largest predictor of burnout. Michie, et al. [29] identified that doctors found an association between work control, social support and psychological distress. Among nurses, lack of co-worker support, job influence, and organizational climate and role ambiguity were associated with psychological distress.
Linzer, et al. [25] found high stress was present in 67% of General Internal Medicine physicians with 38% burned out on average. However, the ranges of burnout were 10-56 % by division within the Veterans Affairs (VA) and civilian work environments. Half of respondents had low work control, 60% reported high documentation time pressure, half described too much home EMR time, and most reported very busy or chaotic workplaces. Key themes from the qualitative analysis were short visits, insufficient support staff, a Relative Value Unit mentality (productivity measures), documentation time pressure, and undervaluing education. Two-thirds felt aligned with departmental leaders’ values, and three-quarters were satisfied with teamwork. Burnout was associated with high stress, low work control, and low values alignment with leaders. Langelaan [26] identified their results suggested higher demands, lower resources, and lower adaptive organizational attitudes are associated with burnout. The following hypotheses were correlational: Demands are positively related to emotional exhaustion, cynicism, and reduced personal accomplishment. Perceived control and autonomy at work are negatively related to emotional exhaustion, cynicism, and reduced personal accomplishment. Job satisfaction and organizational commitment are negatively related to emotional exhaustion, cynicism, and reduced personal accomplishment; in contrast turnover intentions are positively related to the three dimensions of burnout.
Barriers
The exploration of the constructs of professional burnout, specific to nurse practitioners has been a daunting task. The obstacles of identifying active and current search terms has been challenging and more difficult and frustrating than one might think. The search terms used for a literature review or a literature search seem to be ever-evolving as nursing trends shift. These terminology trends seem contribute as a process barrier for the literature review. The search terms become difficult to pinpoint and if you are unaware of the current “Lingo” your search may be incomplete. The barrier in exploration of knowledge is evident as nursing “Lingo” trends shifting of terminology continues to demonstrate a metamorphosis within paradigm shifts. The search terms become difficult to pinpoint and if you are unaware of the current “Lingo” your search may be incomplete. The concepts, ideas, recent research conducted may be housed within an assortment of databases and not readily evident under a larger umbrella of search terms. See the Cause & Effect Flow Chart in (Figure 2). The identified search terms may be within nooks and crannies of a body of work, but certainly not easily accessible when hidden or unavailable for general search terms. A novice exploring literature review searches for a simple topic discovery may not appear, unless specified terms are refined for a detailed or narrow focused subject. Methods and search barriers are restrictive to learning, knowing and to recognizing the available nursing research, thus Nursing Informatics may need to develop the field of library science to facilitate the ease of discovery over the next decade. Expanded search terms and formatting for process discovery may impart the nursing science into the nursing community and the public.
Conclusion
The literature results suggest that higher demands, lower resources, and lower adaptive organizational attitudes are associated with burnout. Based on the research, the following hypotheses were correlational: Demands are positively related to emotional exhaustion, cynicism, and reduced personal accomplishment. Perceived control and autonomy at work are negatively related to emotional exhaustion, cynicism, and reduced personal accomplishment. Job satisfaction and organizational commitment are negatively related to emotional exhaustion, cynicism, and reduced personal accomplishment; in contrast turnover intentions are positively related to the three dimensions of burnout. The literature review research results supported the moderation effect of job control on the relationship between workload and exhaustion. Results also found support for the sequential link from exhaustion to cynicism and that workload is positively related to exhaustion; job control is negatively related to exhaustion; job control moderates the relationship between workload and exhaustion; exhaustion is positively related to cynicism; and thus, exhaustion mediates the relationship between workload and cynicism. It appears that burnout realism is distinct from depressive realism and nurses demonstrated accurate perceptions of the criterion of control and the research suggests that burnout realism is situationally determined. Thus, supporting the view that excessive exposure to demanding and nonchallenging environments is associated with burnout.
Acknowledgements
This paper would like to acknowledge Danita Alfred, Ph.D., R.N., mentor and Professor at the University of Texas at Tyler and Dr. Kate O’Neill, DNP, R.N., Sr. Advisor Practice, Education and Innovation.
Figure 1: Matrix
of Literature Review Search.
Figure 2: Burnout_Cause & Effect.
Database |
Papers amongst the search |
Papers identified for review |
CINHAHL Complete
[1981 – 2017] |
|
|
Burnout & NPs |
278 |
9 |
NP Professional
Burnout |
62 |
5 |
NP, Burnout
research |
31 |
2 |
Occupational
Burnout & NP |
14 |
3 |
Occupational
Burnout & FNP |
3 |
0 |
Occupational
Burnout & APNs |
28 |
2 |
Occupational
Burnout & NP role |
6 |
1 |
Occupational
Burnout & NP as PCP |
105 |
10 |
Burnout, Burn-out
or Burn out & NP |
56 |
6 |
Burnout &
Locus of Control, external |
11 |
9 |
Cochrane Library
[1983 – 2017] |
|
|
Burnout & NPs |
9 |
1 |
Medline [1981 –
2017] |
|
|
Occupational
Burnout & NPs |
8 |
1 |
Burnout & NP |
52 |
6 |
Burnout Research
& NP |
25 |
3 |
Burnout &
Locus of Control, External |
143 |
33 |
Locus of Control
& NP |
53 |
1 |
Locus of Control
& Burnout |
49 |
8 |
Medscape [1981 –
2017 |
|
|
NP role &
Burnout |
1493 |
25 |
PsychINFO [1981 –
2017] |
62 |
38 |
Health Source:
Nursing/Academic Ed |
45 |
3 |
Occupational
Burnout NPs, Burnout Research |
32 |
3 |
Burnout &
APNs |
20 |
3 |
PubMed [1971 –
2017] |
|
|
NP Burnout |
66 |
|
→Burnout &
NPs |
55 |
10 |
Wiley Online
[2016 – 2017] |
|
|
Burnout Research |
2362 |
|
→Burnout
Research, FNP Primary Care |
97 |
3 |
Burnout Research,
NP in PCP, |
15 |
2 |
Health Reference
Center Academic |
|
|
Burnout Research,
NPs |
11 |
|
→Burnout
Research, Occupational Burnout, NPs |
4 |
|
Burnout Research,
Occupational Burnout, GPs |
16 |
2 |
Burnout Research |
|
|
Nurse
Practitioners |
6 |
3 |
Study |
Study Design |
Geographical setting |
Study Setting |
Study Focus |
Sample Size |
Methods |
Outcomes Measured |
Results |
[13] |
Descriptive
Nonexperimental |
Arizona |
APNs in Arizona |
Adult APNs, |
329 NPs in AZ |
ANOVA, t-tests, |
MNPJSS survey.
Demographic data, income, employment status & type |
No relationship
between job satisfaction and gender, employer type, annual income, or
employment status. NPs were least satisfied with intra-practice partnership/
collegiality, professional growth, and benefits. |
[14] |
descriptive
statistics and zero-order correlations |
Global: 43
nations |
U.S. employees
using Mechanical Turk |
Income
inequality, |
Study 1
consisting of 23,778 individuals nested in 30 countries |
Drawing from
conservation of resource (COR) theory |
International
Social Survey Program (ISSP); Gini coefficient provided Standardized World
Income Inequality Database. |
The basic tenant
of COR theory is that people are driven to maintain, foster, and protect
resources (i.e., objects, conditions, personal characteristics, energies). |
[9] |
Descriptive-correlational; |
Large N. American
University |
Organizational
employees |
burnout, job
engagement, early indicators |
466 employees;
business and administrative services. Time 1: 992, or 87% response rate. |
annual assessment
process & checkup survey process. |
6 areas of
work-life identified are predictive of burnout & congruities are
predictive of engagement. Burnout– engagement. 6 areas of work-life:
workload, control, reward, community, fairness, and values |
+ results support early predictors of
burnout. Cronbach’s alpha, & correlations for 3 dimensions of burnout and
6 areas of work-life. People w/ inconsistent pattern at Time 1 were >
likelihood to change than those who did not.E22 |
[9] |
Descriptive-correlational; |
Eastern Canada. |
Participating
organizations were four healthcare districts |
Burnout |
Study 1: N = 1766 |
Surveys |
Latent profile
analysis, with two large datasets, was used to identify multiple
person-centered profiles across the burnout – engagement continuum, as
assessed by the three dimensions of the Maslach Burnout Inventory (MBI). |
5 profiles emerged:
Burnout (high on all 3 dimensions), Engagement (low on all 3), Overextended
(high on exhaustion only), Disengaged (high on cynicism only), and
Ineffective (high on inefficacy only). Each profile w/ a different pattern of
correlates with organizational variables. The Disengaged profile |
[15] |
Longitudinal
study. |
United States. |
recruited by
telephone. |
Nurses'
perceptions of control; indices of burnout & depressive symptomatology;
perceptions of job uncontrollability |
N = 101 of 127
nurses |
Test-re-test;
coefficients of correlation; |
alternative
structural equation models; cross-lagged panel design. |
Burnout realism
is distinct from depressive realism & burnout realism is situationally
determined as burned-out nurse's perceptions matched the criterion of control
but did not deviate beyond criterion in the direction of underestimation of
control & supported by the threat-to-control data. Excessive exposure to
demanding & nonchallenging environments increases perceptual accuracy,
& is associated with burnout. |
[1] |
Theoretical
analysis |
Global |
Burnout Diary
research |
analyze the
burnout phenomenon of the burned-out worker. Capture the process leading to
burnout, and explain chronic burnout. |
3000 Finnish workers, |
Theoretical
Analysis. |
Review the
burnout antecedents & consequences; propose a model with chronic burnout
as a moderator of daily functioning in the workplace. |
An over-all model
of burnout in which chronic burnout is considered as an important moderator
of daily employee functioning was developed. |
[16] |
Descriptive
summary; correlational |
Minnesota |
Faculty
physicians Academic, General Internal Medicine |
career
satisfaction among physicians specializing in internal medicine and its
related subspecialties. |
Email Survey |
Multivariant
analysis; Odds ratio; chi square |
Survey evaluated
demographic variables, work characteristics, and career satisfaction. Burnout
was measured using the Maslach Burnout Inventory. |
34% of faculty
members met the criteria for burnout. Women (43% vs 31%; P = .02) and
physicians younger than 55 years (37.3% vs 19.4%; P < .001) had higher
rates of burnout. Those spending less than 20% of their time (approximately 1
d/wk) on most meaningful activity had higher rates of burnout (53.8% vs
29.9%; P<.001). Time spent on most meaningful activity was the largest
predictor of burnout on multivariate analysis (odds ratio, 2.75; P = .001). |
[17] |
Literature
Review; |
USA |
nurse
practitioner (NP) practice in primary care settings. |
NPs, Work
environments: Primary Care: organizational climate & culture |
A review to
investigate literature. More than 32 definitions of organizational climate
have been reported in the literature |
A literature
search was conducted using MEDLINE, PubMed, HealthSTAR/ Ovid, ISI Web of
Science, and several other health policy and nursing databases. |
Survey of
Organizational Attributes for Primary Care (SOAPC) was developed to assess
the organizational attributes of primary care practices. The Practice Environment
Scale of the Nursing Work Index (PES-NWI). Organizational Climate
Questionnaire; Nursing Context Index (NCI); Nursing Workplace Satisfaction
Questionnaire (NWSQ); Professionalism and Environmental Factors in the
Workplace Questionnaire |
Primary care
settings, organizational climate barriers, such as poor communication and
lack of support for NPs, prevent NPs in primary care settings from fully
utilizing their skills and knowledge to provide high-quality patient care,
ethical challenges, low levels of empowerment, and dissatisfaction with
intra-practice partnerships. The evidence supports that organizations should
strive to improve organizational climate for NP practice. |
[18] |
Descriptive
summary; |
Spain |
Burnout levels
were evaluated in a group of nurses. |
professional
burnout; Nursing Prevalence; Risk factors |
676 nursing
professionals from public health centers. |
Questionnaires. |
Nurse Burnout
levels were evaluated. Dependent variables were the three Burnout dimensions:
emotional exhaustion, depersonalization & personal accomplishment.
Independent variables were sociodemographic, organizational,
personality-related variables. |
There were
statistically significant differences in burnout levels associated with the
following variables: age, gender, marital status, having children, level of
healthcare, type of work shift, healthcare service areas and conducting
administrative tasks. Burnout was also associated with personality-related
variables. |
[19] |
Descriptive
summary; |
France |
business
owner-managers |
Burnout; Job
stressors; |
377 business
owner-managers in France |
Questionnaires. |
short phone questionnaire;
response rate = 75% and data were collected by phone at four different times
over an eight-month period. Examine occupational stress in small-to-medium
enterprise (SMEs) owner-manager; further explore individual & contextual
factors for burnout vulnerability. |
The results
showed that the conditional indirect effect of loneliness was stronger and
significant when entrepreneurial orientation is low, but weaker and not
significant when entrepreneurial orientation is high. |
[20] |
Descriptive Summary; |
Helsinki, Finland |
University
Student Study. |
Burnout; Work
engagement |
sample of 292 |
longitudinal
study; |
75% of the
participants worked in the public sector – in universities, the civil
service, and municipalities – and the remaining 25% in private sector
organizations. 22.3% were teachers or researchers— in humanities and social
sciences disciplines, while the rest worked in various other fields, i.e.
social work. 71.3% felt that their education was appropriate for their
current job. General Survey (MBI-GS); Areas of Work-life Survey (AWLS);
Utrecht Work Engagement Scale (UWES); Work Addiction Risk Test; Recovery
experience Questionnaire. |
Identify
different profiles of subjective well-being at work (i.e. burnout, work
engagement and workaholism) among highly educated employees. Results revealed
that employees with the Engaged profile experienced high levels of energy and
dedication, whereas employees with the Exhausted-Workaholic profile
experienced exhaustion, cynicism and workaholism. Social pessimism in the
transition from high education to work predicted poor subjective well-being
at work. Workaholism decreased during the career among members of the
Exhausted-workaholic profile. Engaged employees experienced detachment and
relaxation, life satisfaction and rewards. |
[21] |
Descriptive
Summary; Correlational |
Holland |
Dutch General
Practitioners, gender (sex) differences in burnout |
Burnout gender
differences in male versus female GPs. |
Sample of 212 GPs
of which 128 were male. |
A three-wave
longitudinal study (2002, 2004, 2006) in a random sample. Data were analyzed
by means of SPSS and LISREL. |
Data by
self-report questionnaires– Maslach Burnout Inventory. Determine causal order
of the three burnout dimensions among male and female GPs and result
differences of burnout between genders. |
20% of the GPs is
clinically burned out. |
[22] |
Descriptive |
Global |
Literature Search |
locus of control,
work locus of control, general locus of control, personality, meta-analysis |
Research.
Literature search of Spector’s (2008) online bibliography of work locus of
control research. Using the search term work locus of control; additional
studies via the PsycINFO database; Google Scholar |
A meta-analysis
examined the hypothesized consequences of work and general locus of control
with a Regression analysis. |
Review the
relationship between locus of control and several criterion variables that
are routinely examined in organizational research. Internal locus of control
(i.e., those who believe that they can control their own lives) and
individuals who have an external locus of control (i.e., those who believe
that their lives are controlled by outside influences, such as other people
or fate). |
Work locus of
control yielded stronger relationships with work-related criteria (e.g., job
satisfaction, affective commitment, and burnout) than general locus of
control. General locus of control had stronger relationships with general
criteria (e.g., life satisfaction, affective commitment, & burnout).
Regression analysis found unique effects for both work and general locus of
control. 1) many of the effects of locus of control may occur via perceptual
processes. 2) locus of control may influence job performance and career
success via effects on motivational processes. 3) locus of control may
influence interpersonal relationships at work via effects on one’s behavior
in social situations. |
[23] |
Descriptive
Summary; correlational |
Italy |
Hospital workers: |
Burnout;
cynicism; exhaustion; job control; workload |
352 hospital
workers from five Italian public hospitals in 2013. |
Questionnaire. |
Measures for
exhaustion, cynicism, job control, and workload. Burnout among health care
workers is associated with high turnover rates and absenteeism due to
sickness, relative ineffectiveness in the workplace, as well as low job
satisfaction. |
Return rate of
81.1%. Results supported the moderation effect of job control on the
relationship between workload and exhaustion. Results found support for the
sequential link from exhaustion to cynicism. Workload is positively related
to exhaustion with p < 0.001; job control is negatively related to
exhaustion with p < 0.001; job control moderates the relationship between
workload and exhaustion with p < 0.001; exhaustion is positively related
to cynicism with 95% confidence intervals; and thus, exhaustion mediates the
relationship between workload and cynicism. |
[24] |
Descriptive
Summary |
Global. |
Literature Review |
To determine
whether there is an association between healthcare professionals’ wellbeing
and burnout, with patient safety. |
46 studies. |
Systematic
research review. Data Sources: PsychInfo (1806 to July 2015), Medline (1946
to July 2015), Embase (1947 to July 2015) and Scopus (1823 to July 2015) were
searched, along with reference lists of eligible articles. |
Systematic
research review. |
46 studies were
identified. 16 of 27 wellbeing studies found a significant correlation
between poor wellbeing & worse patient safety, with 6 studies finding an
association with some but not |
[25] |
Descriptive
Summary; Correlational |
United States |
Physicians |
catalogue
work-life challenges among academic GIM divisions; to provide data
cataloguing stress, burnout, and their predictors among general internists
nationally; and to advise clinical and administrative leaders on targeted
interventions to improve work-life, wellness, and career attractiveness
within GIM. |
1235 clinicians
sampled. |
Email survey. |
An email survey
of physicians, nurse practitioners, and physician assistants in. A ten-item
survey on stress, burnout, and work conditions such as electronic medical
record (EMR) challenges. Categorized into burnout, high stress, high control,
chaos, good teamwork, high values alignment, documentation time pressure, and
excessive home EMR use. |
Of 1235
clinicians sampled, 579 responded (47%). High stress was present in 67%, with
38% burned out (burnout range 10–56% by division). Half of respondents had
low work control, 60% reported high documentation time pressure, ½ described
too much EMR time, & most reported very busy or chaotic workplaces. Key
themes were: short visits, insufficient support staff, a Relative Value Unit
mentality, documentation time pressure, & undervaluing education. 2/3
felt aligned with departmental leaders’ values, and ¾ were satisfied with
teamwork. Burnout was associated with high stress, low work control, and low
values alignment with leaders (all p<0.001). The 45 VA faculty had
|
[26] |
Descriptive
Summary; Correlation |
Holland |
Company Managers
Telecom; |
Burnout;
Extraversion; Neuroticism; Personality; Temperament; Work engagement |
572 Dutch
employees |
standard
deviations computed for |
Participants were
men (83%). The mean age was 42 years (SD = 8.0). 70% had a managerial
position, 52% completed at least college education. |
Results showed
that high neuroticism is the core characteristic of burnout, whereas work
engagement is characterized by low neuroticism in combination with high
extraversion and high levels of mobility. Thus, personality and temperament
make a difference as far as burnout and work engagement are concerned. |
[27] |
Descriptive Summary;
Correlation |
New Haven, CT |
Patients: CLPS,
NIMH-funded, multiple-site, personality disorders |
self-criticism;
perfectionism; depression; psychosocial impairment; perceived social support |
107 patients. |
Longitudinal
study; |
self-criticism
(SC), assessed by the Dysfunctional Attitude Scale (DAS; 1), |
Dysfunctional
Attitude Scale self-criticism and neuroticism were associated with
self-report depressive symptoms, interviewer-rated major depression, &
global domains of psychosocial |
[28] |
Descriptive
Summary |
Global |
Systematic
Research Review |
Burnout,
Emotional labor, Conservation of resources (COR) theory. |
accurately assess
the quantitative relations, through meta-analysis, of job demands, job
resources, & organizational attitudes with burnout |
Meta-analysis, |
The version of
the Maslach Burnout Inventory used was explored as a moderator of the
variables on job demands, resources, and attitudes and their relationship
with burnout to the Conservation of resources (COR) theory. Emotional
exhaustion occurs first. Cynicism occurs as a maladaptive coping mechanism to
deal with the excessive demands and lack of resources. COR theory
hypothesizes that people strive to obtain, build, and protect that which they
value & strain occurs when these resources are threatened, lost, or there
is a failure of gain after investment of resources. |
Results suggest
that higher demands, lower resources, and lower adaptive organizational
attitudes are associated with burnout. |
[29] |
Descriptive Summary |
United Kingdom |
Systematic
Research Review. Health Professionals |
work factors;
staff; and ill health/absenteeism/economic consequences |
Healthcare Professionals: Physicians, Nurses |
Systematic review. |
Systematic Research Review. |
Doctors found an
association between work control and social support and psychological
distress. Among nurses, lack of co-worker support, job influence, and
organizational climate and role ambiguity were associated with psychological
distress. |
References
- Bakker AB and Costac PL (2014) Chronic job burnout and daily functioning: A theoretical analysis, Burnout Research 1: 112-119.
- Lie D (2009) The case of the emergency department physician who burned out: Risk factors, impact, and early interventions.
- Parker LE, Jacobson PD, Coulter I (1994) The road to professionalization: Nurse practitioners and physician assistants. AHSR FHSR Annual Meeting Abstract Book 11: 35-36.
- Shirom A (1989) Burnout in work organizations. In: Cooper, C.L. and Robertson, I., International Review of Industrial and Organizational Psychology: 25-48.
- Maslach C, Schaufeli W, Marek T (1993) Professional Burnout: Recent Developments in Theory and Research. Washington DC., Taylor & Francis.
- Freudenberger HJ (1974) Staff burnout. Journal of Social Issues 30: 159-164.
- Peckman C (2017) Medscape Lifestyle Report 2017: Race and Ethnicity, Bias and Burnout.
- Devine L (2016) EHRs a major factor in physician burnout, panel says.
- Maslach C and Leiter MP (2008) Early predictors of nob burnout and engagement. Journal of Applied Psychology 93: 198-512.
- Cordes CL and Dougherty TW (1993) A review and an integration of research on job burnout. Academy of Management Review 18: 621-656.
- Bakker AB, Schaufeli WB, Sixma HJ, Bosveld W, van Dierendonck D (2000) Patient demands, lack of reciprocity, and burnout: A five-year longitudinal study among general practitioners. Journal of Organizational Behavior 21: 425-441.
- Schaufeli W, van Dierendonck D, van Gorp K (1996) Burnout and reciprocity: towards a dual-level social exchange model. Work & Stress 10: 225-237.
- Schiestel C (2007) Job satisfaction among Arizona adult nurse practitioners, Journal of the AANP 19: 30-34.
- Jiang L and Probst TM (2016) The rich get richer and the poor get poorer: Country-and state level income inequality moderates the job insecurity-burnout relationship, Journal of Applied Psychology 102: 672-681.
- McKnight JD and Glass CD (1995) Perceptions of control, burnout, and depressive symptomatology: A replication and extension, Journal of Consulting and Clinical Psychology 6: 490-494.
- Shanafelt TD, West CP, Sloan JA, Novotny PJ, Poland GA, et al. (2009) Career Fit and Burnout Among Academic Faculty. Archives in Internal Medicine 69: 990-995.
- Poghosyan L, Nannini A, Clarke S (2013) Organizational climate in primary care settings: Implications for nurse practitioner practice, Journal of the American Association of Nurse Practitioners 25: 134-140.
- Canadas-De la Fuente GA, Vargas C, San Luis C, Garcıa I, Canadas GR, et al. (2015) Risk factors and prevalence of burnout syndrome in the nursing profession, International Journal of Nursing Studies, 52, 240-249.
- Fernet C, Torrèsb O, Austina S, St-Pierrea J (2016) The psychological costs of owning and managing an SME: Linking job stressors, occupational loneliness, entrepreneurial orientation, and burnout, Burnout Research, 3, 45-53.
- Innanena H, Tolvanenb A, Salmela-Aroa K (2014) Burnout, work engagement and workaholism among highly educated Employees: profiles, antecedents and outcomes, Burnout Research 1: 38-49.
- Houkes I, Winants Y, Twellaar M, Verdonk P (2011) Development of burnout over time and the causal order of the three dimensions of burnout among male and female GPs. A three-wave panel study BMC Public Health 11: 240.
- Wang Q, Bowling NA, Eschleman KJ (2010) A meta-analytic examination of work and general locus of control. Journal of Applied Psychology 95: 761-768.
- Portoghese I, Galletta M, Coppola RC, Finco G, Campagna M (2014) Burnout and Workload Among Health Care Workers: The Moderating Role of Job Control. Saf Health Work 5: 152-157.
- Hall LH, Johnson J, Watt I, Tsipa A, O’Connor DB (2016) Healthcare Staff Wellbeing, Burnout, and Patient Safety: A systematic review. PLoS ONE 11: e0159015.
- Linzer M, Poplau S, Babbott S, Collins T, Guzman-Corrales L, et al. (2016) Worklife and wellness in academic general internal medicine: Results from a national survey, Journal of Internal Medicine 31: 1004-1010.
- Langelaan S, Bakker AB, van Doornen LP, Schaufeli WP (2005) Burnout and work engagement: Do individual differences make a difference? Personality and Individual Differences 40: 521-532.
- Dunkley DM, Sanislow CA, Grilo CM, McGlashan TH (2009) Self-criticism versus neuroticism in predicting depression and psychosocial impairment over four years in a clinical sample, Comprehensive Psychiatry 50: 335-346.
- Alarcon GM (2011) A meta-analysis of burnout with job demands, resources, and attitudes, Journal of Vocational Behavior 79: 549- 562.
- Michie S and Williams S (2003) Reducing work related psychological ill health and sickness absence: a systematic literature review, Occupational Environmental Medicine 60: 3-9.
- Leiter MP and Maslach C (2016) Latent burnout profiles: A new approach to understanding the burnout experience, Burnout Research 3: 59-100.
- Maslach C (2003) Burnout: The Cost of Caring. Major Books. Cambridge MA.
- Hanrahan N, Aiken L, McClaine L, Hanlon A (2010) Relationship between psychiatric nurse work environments and nurse burnout in acute care general hospitals. Issues in Mental Health Nursing 31: 198-207.
- Randolph G, Price J, Collins J (1986) The effects of burnout prevention training on burnout symptoms in nurses. Journal of Continuing Education in Nursing 17: 43-49.
- Maslach C and Jackson SE (1986) The Maslach Burnout Inventory: Manual (2nd Edition) Palo Alto, CA: Consulting Psychologists Press.