Burnout symptoms in forensic mental health nurses: Results from a longitudinal study

• Published in: International journal of mental health nursing Vol. 28; no. 1; pp. 306 - 317
• Main Authors: Looff, Peter, Didden, Robert, Embregts, Petri, Nijman, Henk
• Format: Journal Article
• Language: English
• Published: Australia Wiley Subscription Services, Inc 01.02.2019
• Subjects: Absenteeism; Adult; Aggressiveness; Altruism; Autonomic nervous system; Burnout; burnout symptoms; Burnout, Professional - epidemiology; Burnout, Professional - psychology; Central nervous system; Emotional intelligence; Female; forensic nursing; Forensic Nursing - statistics & numerical data; Forensic psychiatry; Galvanic skin response; Humans; Longitudinal Studies; Male; Mental health; Middle Aged; moderators; Nervous system; Neuroticism; Nursing; Occupational stress; Personality; Protective factors; Psychiatric nurses; Psychiatric Nursing - statistics & numerical data; Psychiatric-mental health nursing; risk and protective factors; Risk assessment; skin conductance; Surveys and Questionnaires; Symptoms; Young Adult; Netherlands; burnout symptoms; forensic nursing; skin conductance; moderators; risk and protective factors
• ISSN: 1445-8330; 1447-0349
• DOI: 10.1111/inm.12536

Burnout in nursing staff is a major cause for turnover and absenteeism. Identifying risk and protective factors may be helpful in decreasing burnout symptoms. Moreover, research indicates that ambulatory assessments of the autonomic nervous system might be helpful in detecting long‐term stress and burnout symptoms. One hundred and ten forensic nursing staff members completed questionnaires measuring experiences with aggressive behaviour, emotional intelligence, personality, and job stress during four waves of data collection across a 2‐year period. Multilevel analyses were used to test the predicted associations and moderation effects with (the development of) burnout symptoms. Burnout was predicted by a combination of emotional intelligence, job stress, aggression, personality factors, and skin conductance, but no moderation effects over time were found. Over a period of 2 years, the model approximately predicts a change in one burnout category on the Maslach Burnout Inventory. The amount of burnout symptoms in nurses might be used as an indicator to predict turnover and absenteeism considering the increase in symptoms over time. Nursing staff who experience severe aggression and who have relatively low levels of emotional intelligence and altruism and high levels of neuroticism and job stress should be monitored and supported to decrease the risk of burnout. Staff members can be trained to increase their emotional intelligence and relieve stress to decrease their burnout symptoms and turnover and absenteeism on the long term. Ambulatory assessment might be helpful as a nonintrusive way to detect increasing levels of burnout.