Burnout Amongst Mental Health Nurses
Al Argha, Heba (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023120133448
https://urn.fi/URN:NBN:fi:amk-2023120133448
Tiivistelmä
In this qualitative study, burnout among mental health nurses is explored, and effective interventions to lessen or avoid burnout are identified. The research method used for this study was inductive analysis. A systematic database search of CINAHL, Medic and PubMed yielded 796 non-duplicate studies. After applying inclusion and exclusion criteria to the title and abstract, 19 studies were retrieved. Applying further inclusion and exclusion criteria to the full text of these studies resulted in a final sample of 8 articles.
Inductive analysis was used to analyse the chosen studies by detecting patterns and themes in the data rather than by testing theories or hypotheses.
The findings of this study indicate that mental health nurses experience a range of psychosocial risks, including inadequate academic preparation, poor equipment preparation and maintenance, conflicts between the demands of home and work, and inadequate capacity building. In addition, 47.8% of mental health nurses were found to be at significant risk for the development of burnout syndrome.
The study also identified several interventions that can be effective in reducing or preventing burnout among mental health nurses. These included mindfulness-based stress reduction education and guided imagery and music intervention. The mindfulness-based stress reduction education was found to be beneficial to mental health professionals, while the guided imagery and music intervention led to favourable qualitative changes in reported feelings and behaviours, as well as a 26% increase in the self-compassion score.
In conclusion, this study highlights the need for interventions to prevent or reduce burnout among mental health nurses. The inductive analysis approach used in this study allowed for a detailed exploration of the experiences of burnout and the identification of successful interventions. The findings have important implications for mental health organizations and policymakers in their efforts to support the well-being of mental health nurses and improve the quality of care provided to patients.
Inductive analysis was used to analyse the chosen studies by detecting patterns and themes in the data rather than by testing theories or hypotheses.
The findings of this study indicate that mental health nurses experience a range of psychosocial risks, including inadequate academic preparation, poor equipment preparation and maintenance, conflicts between the demands of home and work, and inadequate capacity building. In addition, 47.8% of mental health nurses were found to be at significant risk for the development of burnout syndrome.
The study also identified several interventions that can be effective in reducing or preventing burnout among mental health nurses. These included mindfulness-based stress reduction education and guided imagery and music intervention. The mindfulness-based stress reduction education was found to be beneficial to mental health professionals, while the guided imagery and music intervention led to favourable qualitative changes in reported feelings and behaviours, as well as a 26% increase in the self-compassion score.
In conclusion, this study highlights the need for interventions to prevent or reduce burnout among mental health nurses. The inductive analysis approach used in this study allowed for a detailed exploration of the experiences of burnout and the identification of successful interventions. The findings have important implications for mental health organizations and policymakers in their efforts to support the well-being of mental health nurses and improve the quality of care provided to patients.