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Mental health nursing staff's attitudes towards mental illness: an analysis of related factors

ACCESSIBLE SUMMARY: Employer/workplaces have an impact on mental health nursing staff's general attitudes towards persons with mental illness. Staff have more positive attitudes if their knowledge about mental illness is less stigmatized and currently have or have once had a close friend with m...

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Autores principales: Mårtensson, G, Jacobsson, J W, Engström, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263306/
https://www.ncbi.nlm.nih.gov/pubmed/24654776
http://dx.doi.org/10.1111/jpm.12145
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author Mårtensson, G
Jacobsson, J W
Engström, M
author_facet Mårtensson, G
Jacobsson, J W
Engström, M
author_sort Mårtensson, G
collection PubMed
description ACCESSIBLE SUMMARY: Employer/workplaces have an impact on mental health nursing staff's general attitudes towards persons with mental illness. Staff have more positive attitudes if their knowledge about mental illness is less stigmatized and currently have or have once had a close friend with mental problem. More favourable attitudes among staff towards persons with mental illness could be developed and transmitted in the subculture at work places. ABSTRACT: There is growing awareness that mental illness is surrounded by negative attitudes and stigmas. The aim of the present study was to investigate factors associated with mental health nursing staff's attitudes towards persons with mental illness. Data were collected from 256 mental health nursing staff employed by one county council and 10 municipalities. The findings show that staff have more positive attitudes towards persons with mental illness if their knowledge about mental illness is less stigmatized, their work places are in the county council, and they currently have or have once had a close friend with mental health problems. The multiple regression model explained 16% of the variance; stigma-related knowledge and employer had significant Beta-coefficients. To account for unknown correlations in data, a linear generalized estimating equation was performed. In this model, stigma-related knowledge and employer remained significant, but a new significant factor also emerged: personal contact, i.e. currently having or having once had a close friend with mental health problems. This indicates correlations at unit level in the county council and in the municipalities. The conclusion is that more favourable attitudes among staff towards persons with mental illness could be developed and transmitted in the subculture at work places.
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spelling pubmed-42633062014-12-15 Mental health nursing staff's attitudes towards mental illness: an analysis of related factors Mårtensson, G Jacobsson, J W Engström, M J Psychiatr Ment Health Nurs Original Articles ACCESSIBLE SUMMARY: Employer/workplaces have an impact on mental health nursing staff's general attitudes towards persons with mental illness. Staff have more positive attitudes if their knowledge about mental illness is less stigmatized and currently have or have once had a close friend with mental problem. More favourable attitudes among staff towards persons with mental illness could be developed and transmitted in the subculture at work places. ABSTRACT: There is growing awareness that mental illness is surrounded by negative attitudes and stigmas. The aim of the present study was to investigate factors associated with mental health nursing staff's attitudes towards persons with mental illness. Data were collected from 256 mental health nursing staff employed by one county council and 10 municipalities. The findings show that staff have more positive attitudes towards persons with mental illness if their knowledge about mental illness is less stigmatized, their work places are in the county council, and they currently have or have once had a close friend with mental health problems. The multiple regression model explained 16% of the variance; stigma-related knowledge and employer had significant Beta-coefficients. To account for unknown correlations in data, a linear generalized estimating equation was performed. In this model, stigma-related knowledge and employer remained significant, but a new significant factor also emerged: personal contact, i.e. currently having or having once had a close friend with mental health problems. This indicates correlations at unit level in the county council and in the municipalities. The conclusion is that more favourable attitudes among staff towards persons with mental illness could be developed and transmitted in the subculture at work places. BlackWell Publishing Ltd 2014-11 2014-03-21 /pmc/articles/PMC4263306/ /pubmed/24654776 http://dx.doi.org/10.1111/jpm.12145 Text en © 2014 The Author. Journal of Psychiatric and Mental Health Nursing published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Mårtensson, G
Jacobsson, J W
Engström, M
Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title_full Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title_fullStr Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title_full_unstemmed Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title_short Mental health nursing staff's attitudes towards mental illness: an analysis of related factors
title_sort mental health nursing staff's attitudes towards mental illness: an analysis of related factors
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263306/
https://www.ncbi.nlm.nih.gov/pubmed/24654776
http://dx.doi.org/10.1111/jpm.12145
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