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Predictors of stigma in a sample of mental health professionals: Network and moderator analysis on gender, years of experience, personality traits, and levels of burnout

Authors :
Marco Solmi
Umberto Granziol
Andrea Danieli
Alberto Frasson
Leonardo Meneghetti
Roberta Ferranti
Maria Zordan
Beatrice Salvetti
Andreas Conca
Silvia Salcuni
Leonardo Zaninotto
Source :
European Psychiatry, Vol 63 (2020)
Publication Year :
2020
Publisher :
Cambridge University Press, 2020.

Abstract

AbstractBackground.Stigma is one of the most important barriers to help-seeking and to personal recovery for people suffering from mental disorders. Stigmatizing attitudes are present among mental health professionals with negative effects on the quality of health care.Methods.Network and moderator analysis were used to identify what path determines stigma, considering demographic and professional variables, personality traits, and burnout dimensions in a sample of mental health professionals (n = 318) from six Community Mental Health Services. The survey included the Attribution Questionnaire-9, the Maslach Burnout Inventory, and the Ten-Item Personality Inventory.Results.The personality trait of openness to new experiences resulted to determine lower levels of stigma. Burnout (personal accomplishment) interacted with emotional stability in predicting stigma, and specifically, for subjects with lower emotional stability lower levels of personal accomplishment were associated with higher levels of stigma.Conclusions.Some personality traits may be accompanied by better empathic and communication skills, and may have a protective role against stigma. Moreover, burnout can increase stigma, in particular in subjects with specific personality traits. Assessing personality and burnout levels could help in identifying mental health professionals at higher risk of developing stigma. Future studies should determine whether targeted interventions in mental health professionals at risk of developing stigma may be effective in stigma prevention.

Details

Language :
English
ISSN :
09249338 and 17783585
Volume :
63
Database :
Directory of Open Access Journals
Journal :
European Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.fb15326d2b3f49039920aabda90c01ba
Document Type :
article
Full Text :
https://doi.org/10.1192/j.eurpsy.2019.14