Correction Workers' Burnout and Outcomes: A Bayesian Network Approach

Capturing and quantifying the aggregate effects of multi-source factors affecting miners' health and well-being: Construction of Bayesian belief networks

Factors originating at the organizational, work, and individual levels are closely interrelated and intricately intertwined, affecting health rates. There was limited research on the interdependence and aggregate effects between multi-source factors and occupational health and well-being (OHW). It is challenging to achieve management goals. Therefore, considering cross-level factors and across the "work environment-stress-exposure-OHW" chain, individual vulnerability was considered. A Fuzzy Bayesian Belief Network (FBBN) driven by both domain knowledge and data was constructed to carve out the logic between multi-source factors and OHW. Workers from four coal mines were surveyed twice in 6 months. 714 valid samples were included in the analysis. The interdependencies among multi-source factors were identified by the Interpretive Structure Modeling method and the visual probability estimation was achieved based on FBBN. It revealed that the work and the organizational level were the root factors. Eight factors involved in work stress were mainly mediating, and actual exposure and individual vulnerability were direct factors. Pathway interventions and joint interventions were proposed. The prediction ability and scheme feasibility of FBBN were verified. The approach developed allows robust assessments of aggregate effects and obtains multi-source factor importance. This study provides vital insights and evaluation tools for understanding workplace stress and OHW management.

Work outcomes in public safety personnel after potentially traumatic events: A systematic review

BACKGROUND

It is well documented that public safety personnel are exposed to potentially traumatic events (PTEs) at elevated frequency and demonstrate higher prevalence of trauma-related symptoms compared to the general population. Lesser studied to date are the organizational consequences of workplace PTE exposure and associated mental health outcomes such as acute/posttraumatic stress disorder (ASD/PTSD), depression, and anxiety.

METHODS

The present review synthesizes international literature on work outcomes in public safety personnel (PSP) to explore whether and how PTE and trauma-related symptoms relate to workplace outcomes. A total of N = 55 eligible articles examining PTE or trauma-related symptoms in relation to work outcomes were systematically reviewed using best-evidence narrative synthesis.

RESULTS

Three primary work outcomes emerged across the literature: absenteeism, productivity/performance, and costs to organization. Across n = 21 studies of absenteeism, there was strong evidence that PTE or trauma-related symptoms are associated with increased sickness absence. N = 27 studies on productivity/performance demonstrated overall strong evidence of negative impacts in the workplace. N = 7 studies on cost to organizations demonstrated weak evidence that PTE exposure or trauma-related mental health outcomes are associated with increased cost to organization.

CONCLUSIONS

Based on available evidence, the experience of workplace PTE or trauma-related symptoms is associated with negative impact on PSP occupational functioning, though important potential confounds (e.g., organizational strain and individual risk factors) remain to be more extensively investigated.

Bayesian network analysis of antidepressant treatment trajectories

It is currently difficult to successfully choose the correct type of antidepressant for individual patients. To discover patterns in patient characteristics, treatment choices and outcomes, we performed retrospective Bayesian network analysis combined with natural language processing (NLP). This study was conducted at two mental healthcare facilities in the Netherlands. Adult patients admitted and treated with antidepressants between 2014 and 2020 were included. Outcome measures were antidepressant continuation, prescription duration and four treatment outcome topics: core complaints, social functioning, general well-being and patient experience, extracted through NLP of clinical notes. Combined with patient and treatment characteristics, Bayesian networks were constructed at both facilities and compared. Antidepressant choices were continued in 66% and 89% of antidepressant trajectories. Score-based network analysis revealed 28 dependencies between treatment choices, patient characteristics and outcomes. Treatment outcomes and prescription duration were tightly intertwined and interacted with antipsychotics and benzodiazepine co-medication. Tricyclic antidepressant prescription and depressive disorder were important predictors for antidepressant continuation. We show a feasible way of pattern discovery in psychiatry data, through combining network analysis with NLP. Further research should explore the found patterns in patient characteristics, treatment choices and outcomes prospectively, and the possibility of translating these into a tool for clinical decision support.

Interplay between Safety Climate and Emotional Exhaustion: Effects on First Responders' Safety Behavior and Wellbeing Over Time

Various job demands continuously threaten Emergency Medical Service (EMS) first responders' safety and wellbeing. Drawing on Job Demands-Resources Theory, the present study examines the effects of the organizational context-safety climate-and the psychological context-emotional exhaustion-on safety behaviors and wellbeing over time. We tested our hypotheses in a longitudinal study of 208 EMS first responders nested within 45 stations from three fire departments in US metropolitan areas over 6 months during the beginning of the COVID-19 pandemic. Multilevel modeling showed that the relationship between safety climate and safety compliance behaviors can be attenuated when EMS first responders experience high emotional exhaustion. Emotional exhaustion was also negatively associated with morale while safety climate was positively associated with morale. Additionally, EMS first responders experienced increased depression when their emotional exhaustion levels were high. Higher safety climate was associated with decreased depression when emotional exhaustion was within a low-to-medium range. Higher safety climate was also associated with lower absolute levels of depression across the entire range of emotional exhaustion. These findings suggest that promoting safety climate and mitigating emotional exhaustion can augment EMS first responders' safety behaviors and wellbeing.].

Burnout among Professionals Working in Corrections: A Two Stage Review

Burnout is a state of emotional, physical, and mental exhaustion often caused by excessive and prolonged stress. Given the emotionally and often physically demanding nature of the work of correctional professionals, they are at substantial risk of suffering the adverse consequences of burnout. We systematically reviewed (Stage 1) the influence of burnout amongst forensic psychologists, psychiatrists, case workers, nurses, and correction officers. Interventions were then reviewed (Stage 2) at the individual and collective level to examine the effectiveness or efficacy of treatments for burnout among professionals working in corrections.

Occupational Stress and Burnout in the Fire Service: Examining the Complex Role and Impact of Sleep Health

The occupational stress inherent in firefighting poses both physiological and psychological risks to firefighters that have been found to possess a reciprocal nature. That is, the nature of these relationships in terms of indicator and impact are elusive, especially as it relates to sleep health (e.g., quality, quantity, hygiene, etc.) as a specific physiological risk and burnout as a specific psychological risk. A series of mediation models were assessed to examine the reciprocal relationships between occupational stress, burnout, and sleep health in a sample of 161 career firefighters. The mediation models confirmed reciprocity among the variables in so much that relationships were best described by the underlying mechanism at work. Comprehensive assessments of both subjective and objective markers of sleep health should be incorporated into firefighter research to supplement behavioral health assessments and interventions, especially related to burnout and occupational stress.

Work-Family Conflict, Depression, and Burnout Among Jail Correctional Officers: A 1-Year Prospective Study

BACKGROUND

Correctional officers (COs) experience elevated rates of mental and physical ill-health as compared with other general industry and public safety occupations. The purpose of this study was to investigate demographic, mental health, job tenure, and work-family characteristics and their prospective association to burnout within and between jail officers during one year of new employment.

METHODS

In 2016, newly hired jail officers (N = 144) completed self-reported surveys across four time points in a one-year prospective study at a Midwestern United States urban jail. Linear mixed-effects and growth modeling examined how work-family conflict (W-FC) and depressive symptoms relate to perceptions of burnout over time.

RESULTS

Jail officer burnout increased and was related to rises in W-FC and depression symptoms. Within-person variance for W-FC (B pooled  = .52, p < .001) and depression symptoms (B pooled  = .06, p < .01) were significant predictors of burnout. Less time on the job remained a significant predictor of burnout across all analyses (B pooled  = .03, p < .001).

CONCLUSIONS

Results from this study indicate that burnout increased during the first year of new employment; and increased W-FC, higher depression, and brief tenure were associated with burnout among jail COs. Future study of correctional workplace health is needed to identify tailored, multilevel interventions that address burnout and W-FC prevention and early intervention among COs.

Psychosocial determinants of physical activity among workers: an integrative review

Knowledge of the psychosocial determinants of physical activity is critical to informing preventive and therapeutic interventions in the workplace. This study reviewed available evidence on psychosocial factors that have been associated with physical activity among workers. Studies were selected in December 2019 from the Scopus, Web of Science, and PubMed databases, with no date limits, using the following search terms: “physical activity”, “physical exercise”, “psychosocial”, “workers”, and “working-age”. Thirty-nine studies published between 1991 and 2019 were evaluated. The determinants of physical activity investigated among workers were smoking status, stress, psychosocial working conditions, depression, anxiety, social relationships, work ability, job satisfaction, burnout, and self-efficacy. Some consistencies and controversies were observed in the associations among these determinants and physical activity and are discussed, as are suggestions for future studies. The findings of this review may be of interest to physical activity interventions designed to reduce psychosocial risks factors in work environments.

Key drivers of trucking safety climate from the perspective of leader-member exchange: Bayesian network predictive modeling approach

PURPOSE

Safety climate, which is defined as workers' shared perceptions of organizational policies, procedures, and practices as they relate to the true or relative value and importance of safety within an organization, is one of the best indicators of organizational safety outcomes. This study identifies key drivers of safety climate from the perspective of leader-member exchange (LMX). LMX is a theory describing the nature and processes of social interactions between a supervisor and a subordinate. This study examines the impact of individual drivers and combinations of drivers on safety climate through Bayesian Network simulations to predict practices which most effectively improve safety climate in the trucking industry.

METHOD

Survey data were collected from 5083 truck drivers in a large U.S. trucking company. Bayesian Network analysis was used to identify key drivers (factors) of safety climate and the best joint strategies for improvement. The impact of the drivers on safety climate was assessed and the simulation identified their potential impact independently and in concert with other drivers.

RESULTS

The results from Bayesian Network analyses showed that the effects of LMX on organization- and group-level safety climate were conditionally dependent on four other drivers including psychological ownership, supervisory integrity, situation awareness, and safety communication. Among the five contributing factors, supervisory integrity and LMX had the strongest independent effects on organization- and group-level safety climate. Moreover, the results indicated that the best two joint strategies for promoting organizational (company/top management level) safety climate were LMX and psychological ownership as well as LMX and situation awareness, whereas the best two joint strategies for improving group (workgroup/supervisor level) safety climate were joint optimization of LMX and safety communication as well as LMX and psychological ownership.

IMPLICATIONS

Based on the study results, the strategies that may have the most potential to improve trucking safety climate are: enhancing leaders' ability to engage in high-quality exchanges (e.g., caring about employees), developing training to encourage employees/leaders to deliver on promises, and providing employees with more autonomy to enhance their ownership.

Bayesian network based procedure for regional drought monitoring: The Seasonally Combinative Regional Drought Indicator

Drought is a complex natural hazard. It occurs due to a prolonged period of deficient in rainfall amount in a certain region. Unlike other natural hazards, drought hazard has a recurrent occurrence. Therefore, comprehensive drought monitoring is essential for regional climate control and water management authorities. In this paper, we have proposed a new drought indicator: the Seasonally Combinative Regional Drought Indicator (SCRDI). The SCRDI integrates Bayesian networking theory with Standardized Precipitation Temperature Index (SPTI) at varying gauge stations in various month/seasons. Application of SCRDI is based on five gauging stations of Northern Area of Pakistan. We have found that the proposed indicator accounts the effect of climate variation within a specified territory, accurately characterizes drought by capturing seasonal dependencies in geospatial variation scenario, and reduces the large/complex data for future drought monitoring. In summary, the proposed indicator can be used for comprehensive characterization and assessment of drought at a certain region.

Occupational Stress and Employees Complete Mental Health: A Cross-Cultural Empirical Study

Given the shortcomings of previous research on occupational stress and mental health (e.g., predominantly in Western, educated, industrialized, rich and democratic (WEIRD) societies, based on the traditional mental health model and a lack of comparative studies), this study aimed to (a) examine the relationship between occupational stress and complete mental health among employees in Cabo Verde and China, and also explored the mediation and moderation roles of burnout and optimism in accounting for the empirical link. Mental health was defined as comprised of two distinguishable factors: positive and negative mental health. The Pearson correlation test, structural equation modeling (SEM) analysis, bootstrap analysis, hierarchical moderated regression and an independent t-test were used to analyze the data. The results indicated that, in both countries, occupational stress showed a negative relation to positive mental health and lower psychopathology symptoms—and job burnout mediated the relation between occupational stress and mental health. Optimism moderated the relation between occupational stress and burnout, but not the relation between occupational stress and complete mental health. The results are interpreted in light of the comparative framework.