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Soc Psychiatry Psychiatr Epidemiol ; 44(8): 658-65, 2009 Aug.
Article in English | MEDLINE | ID: mdl-19082905

ABSTRACT

INTRODUCTION: Stereotypes and prejudices against patients with mental illness are widespread in many societies. The aim of the present study is to investigate such attitudes among the staff and medical students, including employees and trainees, in a general university hospital. METHOD: Six hundred individuals (361 employees, 231 students) completed the following questionnaires: Level of Contact Report (LCR), Authoritarianism Scale (AS), and Opinion about Mental Illness (OMI), a scale yielding five factors (social discrimination, social restriction, social care, social integration, and aetiology). Multivariate linear regression models were applied in order to search for the simultaneous effect of many variables on the scores of OMI factors. RESULTS: An important part of the sample held negative attitudes especially concerning social discrimination and restriction of the patients. Women, older and less educated staff, nursing staff, and people scoring higher on authoritarianism were more prejudiced. Higher scores on familiarity were associated with less negative attitudes. CONCLUSION: The results indicate the need to develop sensitisation and training programs considering mental health topics among health service employees.


Subject(s)
Attitude of Health Personnel , Mental Disorders/epidemiology , Personnel, Hospital/psychology , Students, Medical/psychology , Adult , Attitude to Health , Authoritarianism , Educational Status , Female , Hospitals, General/statistics & numerical data , Hospitals, University/statistics & numerical data , Humans , Interpersonal Relations , Male , Medical Staff, Hospital/psychology , Medical Staff, Hospital/statistics & numerical data , Mental Disorders/psychology , Nursing Staff, Hospital/psychology , Nursing Staff, Hospital/statistics & numerical data , Personnel, Hospital/statistics & numerical data , Prejudice , Recognition, Psychology , Stereotyping , Students, Medical/statistics & numerical data , Surveys and Questionnaires
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