Abstract
High levels of emotional exhaustion are frequently reported among clinicians working in community mental health settings. This study draws on social exchange theory to examine the influence of emotional exhaustion on mental health provider work attitudes and turnover, and the moderating effect of functional psychological climates. Data were analyzed using multilevel structural equation modeling in a sample of 311 mental health providers from 49 community mental health programs. Results revealed that emotional exhaustion was negatively related to work attitudes, and the relationship was moderated by functional climates characterized by high levels of cooperation, growth and advancement opportunities, and role clarity. Specifically, the relationship between emotional exhaustion and work attitudes was attenuated for providers working in programs with a more functional psychological climate. Lower work attitudes significantly predicted higher clinician turnover. Results are discussed as they relate to improving climates and enhancing mental health provider and organizational well-being.
Keywords: Psychological Climate, Turnover, Emotional Exhaustion, Social Exchange
Work environments that promote employee well-being are paramount for retaining adept workers (Morgeson & Campion, 2003), especially in community mental health settings where emotional exhaustion, a chronic state of emotional depletion and stress related to one’s work (Maslach & Jackson, 1981), is rampant (Oginska-Bulik, 2006) and may differentially place pressure on more versatile employees to turnover (Green, Dishop, & Aarons, 2016). These factors, in turn, may influence mental healthcare costs and quality for agencies and consumers (Willging, Waitzkin, & Lamphere, 2009; Albizu-Garcia, Rios, Juarbe, & Alegria, 2004). Thus, as in other industries, reducing turnover in public service systems is a desirable goal.
Recent work has attempted to improve community mental health workplaces by understanding the role of psychological climates, or employee perceptions concerning the impact of the organizational environment on his/her well-being, on employee and organizational outcomes (Glisson et al., 2008a). Yet, few studies examine objective, long-term outcomes such as turnover and instead focus on turnover intentions or attitudes. Moreover, there is a need to examine ways to mitigate emotional exhaustion in systems where it is already prevalent (Wright & Cropanzano, 1998). Although antecedents of emotional exhaustion have been outlined (e.g., Stordeur, D’hoore, & Vandenberghe, 2001; Grandey, 2003), more work is needed to understand how to reduce its impact on employee well-being and turnover.
We draw on social exchange theory to examine relationships between emotional exhaustion, functional psychological climates, work attitudes, and future turnover in community mental health settings. Our intent is to contribute to the understanding of social exchange relationships by testing a model that uses objective turnover, and address ways that work characteristics moderate the effects of emotional exhaustion (Shirom, Melamed, Toker, Berliner, & Shapira, 2005).
Emotional Exhaustion
Burnout, a stress-related psychological syndrome characterized by increased depersonalization and emotional exhaustion as well as decreased sense of personal accomplishment (Maslach & Jackson, 1981), affects up to 67% of mental health providers (Morse, Salyers, Rollins, Monroe-DeVita, & Pfahler, 2012) and is largely produced by job characteristics (Acker, 2008). Emotional exhaustion, described as the the extent to which an employee lacks the emotional resources needed to handle interpersonal stressors, is theorized as the most important and first component in the burnout process (Leiter & Maslach, 1988), and has been found to produce the strongest relationships with negative outcomes (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001; Lee & Ashforth, 1993; Wright & Bonett, 1997). Emotional exhaustion is particularly salient in mental health, as mental health professionals report higher levels of emotional exhaustion compared to many other work professions, including health professionals, police officers, teachers, managers, and journalists (Ogińska-Bulik, 2006).
This tension is largely due to the array of interpersonal, cognitive, and behavioral demands that are required when working with multiple patients and coworkers in public sector settings (De Jonge & Dormann, 2003). Evidence suggests that work characteristics such as high workloads, work-family conflict, and role stress also engender emotional exhaustion (Acker, 2012; Deery, Iverson, & Walsh, 2002; Karatepe & Tekinkus, 2006; Mulki et al., 2006). Emotional exhaustion, in turn, is related to turnover intentions (Lee & Ashforth, 1996; Wright & Cropanzano, 1998). Given the high rates of emotional exhaustion in community mental health programs, and the high cost of clinician turnover (Hyde, 2013), we considered factors that might mitigate the impact of emotional exhaustion on work attitudes and, ultimately, turnover. We employ social exchange theory to understand how functional climates can buffer emotional exhaustion in order to foster satisfaction, commitment, and lower turnover.
Social Exchange Theory
Social exchange theory describes the rules, behaviors, and resource transactions that develop in mutual relationships (Emerson, 1976). The rules and styles of exchange are numerous (for a review see Cropanzano & Mitchell, 2005), but the focus of the current study is on social exchange relationships in organizations, which involve tangible or intangible, long-term, personal attachments between two parties (Blau, 1964) that entail both employee-organization (e.g., Aryee, Walumbwa, Mondejar, & Chu, 2015; Cropanzano & Rupp, 2003) and employee-employee relationships (e.g., Lavelle et al., 2009; Tse & Dasborough, 2008). Social exchange relationships involve benefits/rewards, such as instrumental services and empowerment, costs, such as punishments or lost rewards, and resources, which embody commodities that are transmitted through behavior (Blau, 1964; Colquitt, Baer, Long, & Halvorsen-Ganepola, 2014).
Social exchange theory states that agents attempt to keep benefits/rewards above costs and will remove resources from the relationship if this threshold is violated (Blau, 1964). In community mental health settings, costs such as high caseloads, competing demands, and interpersonal stressors (Willging, Waitzkin, & Lamphere, 2009; De Jonge & Dormann, 2003) may lead to emotional exhaustion. Social exchange theory would then propose that levels of emotional exhaustion that outweigh perceived rewards would foster reduced personal and interpersonal resources from employees. We view turnover as a resource that employees may “exchange” when costs outweigh benefits in the organization. Although meta-analytic (Lee & Ashforth, 1996) studies have shown that emotional exhaustion can lead to turnover intentions, tests of objective turnover in light of social exchange are much less common.
Research has also demonstrated that attitudinal changes precede behavioral resource exchanges. For example, organizational commitment (Cropanzano, Rupp, & Byrne, 2003) and job satisfaction are attenuated in response to emotional exhaustion (Green, Miller, Aarons, 2013; Bovier, Arigoni, Schneider, & Gallacchi, 2009) or work stress (Crede, Stark, Dalal, & Bashur, 2007) and are likely to result in turnover intentions (Cropanzano et al., 2003; Crede et al., 2007). Moreover, organizational commitment and job satisfaction have been documented as key components of behavioral workplace outcomes, such as turnover (Sonnentag & Frese, 2012; Cotton & Tuttle, 1986; Smith, Organ, Near, 1983). In the current study, therefore, emotional exhaustion is viewed as a “cost” that results in attitude changes and corresponding resource exchanges (i.e., turnover) if it exceeds the benefits provided by the organization.
Despite the negative impacts of emotional exhaustion on work attitudes, social exchange theory predicts that there are benefits organizations can provide to mitigate the costs of the job, such as social approval, empowerment, and instrumental services (e.g., extrinsic rewards) (Blau, 1964). Such organizational attributes can be viewed as part of psychological climates, which refer to an individual’s perception of their work environment (James & Jones, 1974). In mental health services, understanding climates is of high value because it helps identify organizational characteristics that influence provider attitudes and behavior (Glisson 2002; Glisson & James, 2002). Moreover, perceptions of the work environment, rather than the work environment itself, are thought to mold subsequent behaviors (Brown & Leigh, 1996).
Glisson and colleagues’ conceptualization of functional climates in community mental health service are characterized by role clarity, cooperation, and growth and advancement opportunities (Glisson et al., 2008a). That is, functional climates describe work employees’ perceptions of opportunities for personal advancement (Growth and Advancement), support from other co-workers to do a good job (Cooperation), and “understanding of their fit and function within a given context” (Role Clarity; Foote, Seipel, Johnson, & Duffy, 2005, p. 207; Glisson et al., 2008a; Glisson et al., 2008b). Glisson describes an individual’s assessment of their work environment and its impact on their well-being as psychological climate; whereas, shared perceptions of the work environment across employees defines an organizational climate (Glisson, 2015). In terms of positive benefits, cooperation provides social support and approval for an individual employee (Holländer, 1990) while growth and advancement opportunities and role clarity can be seen as instrumental services that engender feelings of empowerment (Maton & Salem, 1995). Previous research found positive outcomes among mental health workforce employees reporting more functional climates, including enhanced program morale, job satisfaction, and commitment (Wolf, Dulmus, Maguin, & Cristalli, 2013; Glisson, Williams, Green, Hemmelgarn, & Hoagwood, 2014; Hemmelgarn, Glisson, & James, 2006). We suggest, therefore, that a functional psychological climate may be crucial for mitigating high emotional exhaustion in employees of community mental health settings, leading to a work relationship where the “benefits” outweigh the “costs.” These relationships are displayed in Figure 1.
Overview of the current study
The community mental health service field has significant challenges in regard to workforce emotional exhaustion and turnover. This study aimed to explore, through the lens of social exchange theory, whether and how a functional psychological climate may moderate the negative consequences of high emotional exhaustion on work attitudes and ultimately turnover in community mental health service settings. As shown in the model outlined in Figure 1, we hypothesize that: (1) increased emotional exhaustion will be significantly associated with lower work attitudes, (2) functional psychological climates will moderate the impact of emotional exhaustion on work attitudes, and (3) more negative work attitudes will predict higher provider turnover one year later.
Methods
Participants
Participants were service providers working in community mental-health programs for children and their families in a large California County who were recruited to participate in a study of workforce and organizational factors in child and adolescent mental health (Green, Albanese, Shapiro, & Aarons. 2014). The county provided the research team with a list of all county-operated and county-contracted mental health programs providing services to children and families (n=54). Forty-nine of the 54 programs (91%) agreed to participate in this study and provided time during work hours for their clinicians and case managers to complete the survey. Program types included outpatient (42%), day treatment (21%), wraparound (19%), case management (17%) and inpatient (2%). A total of 335 clinicians and case managers worked within the 49 programs that agreed to participate, and 96% (n=322), consented and participated in the current study. Complete data on all variables included in the current study was available for 311 (93%) of the 335 clinicians and case managers from participating programs. Chi-square and t-test analyses comparing providers with missing data for at least one variable to those with complete data revealed no significant differences in demographic variables, work characteristics, or variables examined in our primary analysis. The number of mental health providers at each program ranged from one to 72 full time service providers (M = 14.6 ±16.2).
Measures
Provider Demographics.
Demographic data regarding the service providers was collected as part of a survey on work and organizational factors. Demographic data included provider age, sex, education level, job tenure, and professional status (intern vs. professional). Provider education level was assessed with the ordered categories (from low to high) of attainment of some college, college graduate, some graduate work, master’s degree, and doctoral degree (Ph.D., M.D. or equivalent).
Emotional Exhaustion.
Emotional exhaustion was assessed using six of the nine items (current sample α = .90) from the Maslach Burnout Inventory-Human Services Survey’s (MBI-HSS) emotional exhaustion subscale. The MBI-HSS was designed for professionals in the human services industry and demonstrates excellent reliability and validity (Maslach, Jackson, & Leiter, 1996). The MBI-HSS emotional exhaustion subscale measures providers’ feelings of being emotionally overextended and exhausted by their work in human services. Examples of scale items include: “I feel emotionally drained from my work,” “I feel fatigued when I get up in the morning and have to face another day on the job,” and “I feel used up at the end of the workday.” Participants indicated their level of agreement with each statement on a five-point Likert-type scale from 0 “Not at all,” to 4 “To a very great extent”, with higher scores representing increased levels of emotional exhaustion.
Functional Psychological Climate.
Three subscales from the Organizational Social Context (OSC) measure; growth and advancement, role clarity, and cooperation; were used to assess Functional Psychological Climates (Glisson et al., 2008a). The factor structure and psychometrics of the OSC have been confirmed in a large national sample (Glisson et al., 2008a). The growth and advancement subscale examines the degree to which employees feel their work environment provides opportunities for personal and professional growth in the organization (e.g., “this agency provides numerous opportunities to advance if you work for it,” five items, current sample α = .86). The role clarity subscale measures the extent to which employees feel their job responsibilities are clear and understandable (e.g., “my job responsibilities are clearly defined,” six items, current sample α = .87). The cooperation subscale examines employee perceptions that they receive support and assistance from their co-workers to do a good job (e.g., “there is a feeling of cooperation among my coworkers,” five items, current sample α = .78). Each item was rated on a five-point scale ranging from 0 “Not at all,” to 4 “To a very great extent.”
Work attitudes.
Work attitudes were assessed job satisfaction and organizational commitment subscales of the OSC (Glisson et al., 2008a). Job satisfaction measures the extent to which respondents are satisfied with various aspects of their job (e.g., “how satisfied are you with your working conditions?” nine items, current sample α = .85). Organizational commitment measures the extent to which respondents are committed to staying in their current program (e.g., “I am proud to tell others that I am a part of this program,” eight items, current sample α = .91). These scales have excellent psychometric properties and were designed for use with children’s mental health and social service providers (Aarons & Sawitzky, 2006; Glisson, 2002; Glisson & James, 2002). Each item was rated on a fivepoint scale ranging from 0 “Not at all,” to 4 “To a very great extent.”
Turnover.
One year are the completion of the survey described above, each program manager was contacted to determine which participants from the original sample had either quit or been terminated during that year. The annual turnover rate in the present study was 28%. Participants who obtained another position within the same program or at the same agency were not counted in the turnover rate.
Procedures
Using a county provided list of all county-operated and county-contracted mental health programs serving children and families, a program manager and provided with a detailed description of the study. In the 49 (91%) of programs that agreed, surveys were administered to direct service providers at a time designated by the program manager. The project coordinator and a trained research assistant administered the surveys to direct service providers without supervisors present. The research staff ensured participants of confidentiality and the need to answer honestly and were available during the survey session to participant questions. Participants received both a verbal and written description of the study. The study and procedures were approved by the appropriate institutional review boards and informed consent was obtained prior to the survey administration.
Analyses
As shown in Figure 2, two parcels, each containing the mean of three highly correlated emotional exhaustion items, were used as indicators for the Emotional Exhaustion latent variable. Three OSC subscales, growth and advancement, cooperation, and role clarity were used as indicators for the Functional Climate latent variable. The two OSC organizational commitment and job satisfaction subscales were used as indicators of the Work Attitudes latent variable. The interaction term was created using the mean centered Functional Climate and mean centered Emotional Exhaustion variables. In the proposed model, Work Attitudes was regressed on Functional Climate, Emotional Exhaustion, and their interaction, and Turnover was regressed on Work Attitudes. Multilevel Structural Equation Modeling analyses were conducted in Mplus version 7.1 software (Muthén & Muthén, 1998–2016) using maximum likelihood estimation with robust standard errors to control for the effects of the nested data structure, with providers nested within mental health programs (Hedeker, Gibbons, & Davis, 1991; Raudenbush & Bryk, 2002; Snijders & Bosker, 2012). Goodness of fit of the model was evaluated through multiple fit indicators (Hu & Bentler, 1999; McDonald & Ho, 2002) including the Comparative Fit Index (CFI; good fit indicated by scores greater than 0.95), and the Standardized Root Mean Squared Residual (SRMR; values less than 0.08 indicated good model fit).
Results
Descriptive Statistics
Seventy-six percent of the sample was female. The race/ethnicity of the sample was non-Hispanic Caucasian (65%), Hispanic (15%), African American (7%), Asian American (6%), American Indian (1%), and “other” (7%). The mean age for the sample was 35.93 years (SD = 10.68) and the mean job tenure was 23.4 months (SD = 37.6). Provider education for the sample was Master’s degree (57%), college graduate (19%), some graduate work (11%), Doctoral degree (10%), or some college (3%). Thirty-three percent reported their primary discipline as marriage and family therapy, 32% social work, 22% psychology, and 13% other (e.g. drug/alcohol counseling, psychiatry).
Structural Equation Modeling
As shown in Figure 2, all indicators loaded significantly on their designated latent variable and the model showed good fit [X2(24) = 65.47, p <.001; CFI = .96, and SRMR = .06]. Emotional exhaustion was significantly negatively related to work attitudes (B = −.11, p<.001), providing support for the first hypothesis. In line with the second hypothesis, the relationship between emotional exhaustion and work attitudes was significantly moderated by functional psychological climate (B = 0.11, p<.001). In order to interpret the significant interaction effect, a median split was conducted on functional psychological climate to categorize providers as working in programs with low versus high functional psychological climates (see Figure 3). Graphing of the moderation effect revealed that although higher emotional exhaustion predicted lower work attitudes, this effect was significantly less drastic among providers in programs with more functional psychological climates. Supporting the third hypothesis, work attitudes significantly predicted turnover (B = −.13, p = .04) such that lower work attitudes were associated with higher turnover.
Discussion
Based on the principle of social exchange theory, this study proposed a model to expand our understanding of functional psychological climates and their relation to emotional exhaustion, work attitudes, and turnover among public mental health services. The results of the analyses supported our hypotheses and, therefore, underscore the importance of work environment perceptions in an allied health care setting with high degree of burden related to employee emotional exhaustion and turnover. The present study found that greater provider-reported emotional exhaustion was associated with lower work attitudes, and that this association was moderated by functional psychological climates such that the impact of emotional exhaustion was less drastic among providers reporting more functional psychological climates. Finally, lower work attitudes predicted higher future turnover.
Implications for research
Our findings contribute to our understanding of workplace behavior in a number of ways. First, our study was able to examine these relationships to assess objective turnover. Turnover research has focused heavily on intensions rather than actual turnover (Cohen, Blake, & Goodman, 2016), with past findings suggesting that emotional exhaustion relates more strongly to attitudes than outcome behaviors (Babakus, Cravens, Johnston, & Moncrief, 1999). The current study helps to expand research in this area by extending findings to actual turnover, an objective variable with high costs to clients and organizations. Our findings suggest that emotional exhaustion negatively impacts work attitudes, particularly for those in with less functional climates, which in turn relates to actual provider turnover. As such, the present study adds to the dearth of research considering actual turnover and its antecedents.
Second, our model characterized social exchange relationships through the interplay of emotional exhaustion, functional climates, work attitudes (i.e., organizational commitment and job satisfaction), and turnover. Colquitt et al. (2014) noted that using only perceived organizational support (e.g., “My organization values my contributions”) does not adequately cover the content of social exchange relationships. By including aspects of employee-employee relationships, organizational characteristics, attitudes, and behaviors, the current study captures appropriate aspects of social exchanges.
Finally, our results help identify a potential way to reduce emotional exhaustion despite its high prevalence in certain communities. Numerous examples document emotional exhaustion antecedents (Stordeur et al., 2001; Grandey, 2003). The current study, on the other hand, acknowledges that functional climates can be useful in reducing its impact.
Implications for practice
These findings suggest that providing clear tasks for employees, fostering functional cooperation among co-workers, and providing advancement opportunities can help mitigate the deleterious effects of emotional exhaustion among mental health care providers. We argue that efforts should be made to increase functional climates in mental health organizations. Presenting clear standards of performance (Whitaker, Dahling, & Levy, 2007) and detailed information on how employees will be evaluated (Donnelly Jr & Ivancevich, 1975) can increase role clarity. Brown, Ganesan, and Challagalla (2001) found that, consistent with previous research, feedback-seeking behavior increased role clarity. Whitaker et al. (2007) showed that clear, structured, and cooperative feedback mechanisms can help employees understand what types of behaviors are valued by the organization, leading to improved role clarity. Cooperation can be increased by creating a clear organizational expectation of cooperation that distinguishes between team and clinical roles (Gavin et al., 1998). It may be worthwhile, therefore, to focus efforts on leadership and team processes to improve cooperation among members of a mental health team. Leaders can also enhance growth and advancement opportunities for staff by rewarding success and hard work, increasing training opportunities, and providing opportunities for promotions to more advanced positions and roles. In addition, training and coaching in leadership and organizational change strategies can be utilized to improve leader behaviors in mental health programs (Aarons, Farahnak, Ehrhart, & Sklar, 2014).
Limitations
Some limitations of the present study should be considered. First, only correlational inferences among the latent variables can be made due to the cross-sectional nature of those data. Second, with the exception of objective turnover data, variables were based on respondent self-reports, and therefore common method variance and selfreport bias may have influenced the results presented here (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). As recommended by Podsakoff and colleagues (2003) we worked to minimize potential bias by increasing procedural control and promoting accurate and unbiased responses. Surveys were administered in groups without the presence of supervisors, respondents were ensured that they would be identified by a researcher-generated number, and research staff reinforced the importance of honest responding and asking questions. Finally, this study took place in one county mental health service system and therefore may not generalize to other service sectors. However, to the extent that organizational factors are common across multiple types of service systems, these results may inform studies in other settings.
Conclusion
There is increasing awareness that organizational factors are critical in mental health service contexts. High levels of emotional exhaustion and stress are frequently reported among clinicians working in such settings. Moreover, strain from administrative job demands and stress engendered from working as human service professionals are aspects of community mental health care that are unlikely to change. Given the moderating effect of functional climates on the relationship between emotional exhaustion and work attitudes, leaders of mental health programs should assess and understand their psychological climate and intervene when necessary to create more functional climates. In addition to improving cooperation among mental health teams, providing increased opportunities for growth and advancement, and developing clear guidelines and feedback processes to enhance role clarity, organizations may also want to consider implementing evidenced-based organizational interventions. One specific example designed for human service organizations, the ARC (availability, responsiveness, continuity) intervention, has been shown to improve climates, resulting in improved staff retention and client outcomes (Glisson & Green, 2011; Glisson et al., 2012).
Retaining providers and promoting their effectiveness can bolster the organizational dynamics needed to provide adequate mental health treatment to service recipients. In addition, reduced turnover can result in cost savings in regard to recruitment and training of providers. Finally, retaining well-trained providers who can engage clients and patients can help to improve the process and outcomes of mental health services, resulting in higher public health impact.
Acknowledgments
This research was supported by National Institute of Mental Health grants R01MH072961 and K01MH001695 (PI: Aarons) and National Institute on Drug Abuse grant R01DA038466 (PI: Aarons). We thank the organizations, supervisors, and service providers that participated in the study and made this work possible. Each author has contributed significantly to the work and agrees to the submission of this manuscript for publication. None of the authors involved with the writing of this manuscript have a relevant conflict of interest that warrants disclosure at this time.
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
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