| Literature DB >> 35755153 |
Jessica Page1, Noelle Robertson1.
Abstract
Research indicates that indirect exposure to trauma can have a detrimental psychological impact on professionals working within, and interfacing with, law enforcement and the criminal justice system. This systematic review aimed to explore the extent and predictors of work-related distress amongst community corrections personnel. A search of five databases identified 19 papers eligible for inclusion; 16 addressed burnout, and the remainder investigated secondary trauma, vicarious trauma and compassion fatigue. Synthesis revealed that community corrections personnel reported burnout at levels akin to those of other professions working in forensic contexts, though reports of secondary trauma appeared higher. Predictive factors encompassed personal, role-based and organisational factors. Research reporting work-related distress in correctional officers is focused on burnout but uses divergent models of stress, reveals methodological weaknesses, and to date has little examined responses to indirect trauma. The limitations of this review are discussed, alongside clinical implications and areas for future research.Entities:
Keywords: burnout; community correction; literature review; occupational distress; parole; probation; secondary trauma; vicarious trauma; work distress
Year: 2021 PMID: 35755153 PMCID: PMC9225775 DOI: 10.1080/13218719.2021.1894259
Source DB: PubMed Journal: Psychiatr Psychol Law ISSN: 1321-8719
PICOS statement.
| PICOS | Category | Application as defined in the present review |
|---|---|---|
| P | Population | Corrections officers working within the community |
| I | Intervention/Exposure | Indirect exposure to, and effects of, traumatogenic material |
| C | Comparison | None |
| O | Outcome | The extent and predictive factors of WRD. |
| S | Study Design | Quantitative studies using validated measures of WRD |
Note: WRD = work-related distress.
Figure 1.PRISMA flow diagram.
Study characteristics.
| Author (year), country | Aim | Conception of WRD and measurement | Participants | Extent | Predictors |
|---|---|---|---|---|---|
| Allard et al. ( | Explores relationship between inter-role conflict, intra-role conflict, role ambiguity and role preferences with burnout. | Burnout | 55 CCOs | Both intra and inter-role conflict significantly independently related to level of EE ( | |
| Anson and Bloom ( | Compares occupational stress amongst various professions, including police and correctional officers. | Burnout | 43 POs | NS difference between police and POs on EE and depersonalisation NS. | |
| Dir et al. ( | Examines relationship between burnout, participatory atmosphere and mental health stigma. | Burnout | 245 JPOs | Most JPOs reported mild to moderate levels of burnout. | |
| Gayman and Bradley ( | Examines the association between depressive symptoms, work stress and work environment (including EE). | EE | 826 PPOs | Officers reported high levels of EE ( | White and female officers reported higher levels of burnout. Job tenure also a predictor: longer employment associated with increased burnout. Increased work stress, role conflict and role overload all predict burnout. |
| Gayman et al. ( | Examines the association between caseload with depressive symptoms and EE. | EE | 798 PPOs | PPOs depressive symptoms, number of people on a caseload with a mental health problem, caseload size and years in current job all positively correlated with EE. Percentage of caseload receiving mental health services support associated with less EE. Perception of training adequacy to supervise people with mental health problems negatively associated with EE. | |
| Holgate and Clegg ( | Compares burnout between an older and younger sample of POs. Compares predictive effects of organisational and personality variables on burnout. | Burnout | 106 CCOs | NS difference in burnout scores between older and younger groups. For both groups: depersonalisation, role conflict, role ambiguity and emotionality all correlated positively with EE. | |
| Holloway et al. ( | Examines demographics, attitudes about participation in the workplace and burnout | Burnout | 219 JPOs | ||
| Jin et al. ( | Assesses the impact of positive (job autonomy, procedural justice and role clarity) and negative (role conflict, job stress, job dangerousness) job characteristics on burnout | Burnout | 225 CCOs | Greater role clarity linked to reduced burnout. Greater role conflict, job stress and job dangerousness were more likely to generate greater burnout. Males more likely to report higher degree of burnout. | |
| Lewis et al. ( | Measures the effect of negative caseload events on traumatic stress responses | CF/burnout | 309 POs, supervisors and administrators | Supervising those who report violent recidivism involving a child victim or sexual re-offence while on caseload have significantly higher levels of CF and burnout. Those reporting offenders’ threat to self or family, assault on duty or client suicide linked to higher CF and burnout. | |
| Lindquist and Whitehead ( | Compares burnout amongst Supervised intensive restitution officers, institutional corrections officers and PPOs | Burnout | 108 PPOs | No significant difference in burnout between groups of workers. | Significant predictors: lower levels of support, greater weekly hours of contact and greater correctional seniority predict greater EE. Younger officers and those who reported greater correctional seniority, greater role conflict and lower levels of social support reported greater depersonalisation. |
| Merhav et al. ( | Explores correlation of attachment styles with disruption in cognitive schemas. | VT | 189 adult POs | Secure attachment styles reported significantly fewer disruptions in cognitive schemas of trust than other attachment styles. Secure and dismissive-avoidant attachment styles reported significantly fewer disruptions in cognitive schema of safety than those with preoccupied and fearful avoidance attachment types. Human-induced personal trauma history significantly predicted disruptions in trust schema when controlling for attachment. | |
| Rhineberger- Dunn et al. ( | Explores predictive factors for ST among PPOs and ROs. | ST | 179 PPOs: 47% female | PPOs reported significantly greater number of secondary trauma symptoms compared to ROs, controlling for the other variables. | Better health predicted lower ST symptoms. Reporting adequate training for job associated with lower levels of ST. Greater contact hours associated with increase in ST. |
| Rhineberger- Dunn et al. ( | Compares association between background and workplace predictive factors for burnout between PPOs and ROs. | Burnout | 179 PPOs: 47% female | PPOs > ROs were more likely to report symptoms of EE and depersonalisation. NS difference in personal accomplishment. | Women and those reporting poorer health reported higher EE. Perceptions of adequate education and job training significantly associated with lower EE. Health, educational training, job training and pay dissatisfaction all significant determinants of depersonalisation. Greater years in the field associated with lower personal accomplishment. |
| White et al. ( | Explores prevalence and predictive variables of burnout. | Burnout | 245 JPOs | EE: 25.5% participant scores in the low range, 35.8% moderate, 31.7% high | Job satisfaction was the strongest predictor of burnout: higher job satisfaction predicting lower emotional exhaustion, cynicism and higher professional efficacy. Race: Caucasians reported higher EE and cynicism. Those with high-risk clients on caseload reported higher cynicism. |
| Whitehead ( | Compares extent of burnout among PPOs with human service workers sample. | Burnout | 968 PPOs | PPOs reported significantly lower EE, though higher intensity, than human service workers sample. | Curvilinear relationship between seniority and burnout. More experienced workers reported highest burnout scores, and most experienced workers reported levels of burnout similar to those just starting the job. |
| Whitehead ( | Examines gender differences in job burnout, job satisfaction and role conflict | Burnout | 711 POs | Gender a significant predictor for depersonalisation. Weekly hours of offender contact predicted EE. Caseload size and age predicted depersonalisation. Job satisfaction and role conflict predicted EE and depersonalisation. | |
| Whitehead ( | Examines extent of job burnout and job dissatisfaction among probation managerial employees | Burnout | 184 PO managers: 44% supervisors, 56% upper-level administrators including probation directors, chief POs or assistant chiefs | Reported experiencing feelings of EE about once a month, feelings of depersonalisation less frequently than once a month and feelings of personal accomplishment about once a week. | |
| Whitehead ( | Tests two leading theories of job burnout – Maslach’s theory emphasising client contact as central cause of burnout, and Cherniss’ theory highlighting the relationship between organisational factors and burnout | Burnout | 387 POs | Role conflict, job satisfaction and age all had significant direct effects on EE and depersonalisation. Job satisfaction and weekly hours of client contact had significant direct effects on personal accomplishment. | |
| Whitehead and Lindquist ( | Assesses perceptions of burnout | Burnout | 108 PPOs | 21% PPOs reported feeling emotionally exhausted at least once a week or more. 8% reported depersonalisation at least once a week. | Social support and correctional seniority were significant predictors of EE. Significant predictors for depersonalisation were social support, role conflict, age and correctional seniority. Younger officers and those reporting lower levels of social support, greater role conflict and greater seniority reported greater depersonalisation. |
Note: CCOs = community correction officers; CF = compassion fatigue; CFST = Compassion Satisfaction/Fatigue Self-Test for Helpers; CSS = Children’s Services Survey; EE = emotional exhaustion; JPO = juvenile probation officer; M = mean; MBI = Maslach Burnout Inventory; MBI–GS = MBI–General Survey; NS = non-significant; PO = probation officer; PPO = probation/parole officer; RO = residential officer; ST = secondary trauma; STSS = Secondary Traumatic Stress Scale; TABS = Trauma and Attachment Belief Scale; VT = vicarious trauma; WRD = work-related distress.
Quality appraisal using AXIS checklist.
| Name of first author (year) | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Q14 | Q15 | Q16 | Q17 | Q18 | Q19 | Q20 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RQ | SD | SD | RQ | SD | RB | RB | SD | RB | RQ | RQ | RQ | RB | RB | RB | RQ | SD | RQ | SD | SD | ||
| Allard et al. ( | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| ✓ |
| ✓ |
| ✓ | ✓ |
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| Anson and Bloom ( |
| ✓ |
| ✓ | ✓ | ✓ |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| ✓ | ✓ | ✓ |
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| Dir et al. ( | ✓ | ✓ |
| ✓ | ✓ | ✓ |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
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| ✓ | ✓ | ✓ | ✓ | ✓ |
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| Gayman and Bradley ( | ✓ | ✓ |
| ✓ | ✓ | ✓ |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
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| Gayman et al. ( | ✓ | ✓ |
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| Holgate and Clegg ( | ✓ | ✓ |
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| Holloway ( | ✓ | ✓ |
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| Jin et al. ( | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
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| Lewis et al. ( | ✓ | ✓ |
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| Lindquist and Whitehead ( | ✓ | ✓ |
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| Merhav et al. ( | ✓ | ✓ |
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| Rhineberger-Dunn et al. ( | ✓ | ✓ |
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| Rhineberger-Dunn et al. ( | ✓ | ✓ |
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| White et al. ( | ✓ | ✓ |
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| Whitehead ( | ✓ | ✓ |
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| Whitehead ( | ✓ | ✓ |
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| Whitehead ( | ✓ | ✓ |
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| Whitehead ( | ✓ | ✓ |
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| Whitehead and Lindquist ( | ✓ | ✓ |
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Note: Question grouping: RQ = reporting quality; SD = study design; RB = risk of bias (Kiss et al. 2018). Ratings: ✓= criteria met; – = don’t know/partially met; X = criteria not met.