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Análisis bayesiano de variables relacionadas con el desarrollo del sindrome de Burnout en profesionales sanitarios (Bayesian analysis of variables related to the developmentof Burnout syndrome in health professionals)

Author(s): Guillermo A. Cañadas | Luis M. Lozano | Emilia I. de la Fuente | Cristina Vargas | Lorena Saldaña

Journal: Escritos de Psicología - Psychological Writings
ISSN 1138-2635

Volume: 3;
Issue: 4;
Start page: 33;
Date: 2010;
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Keywords: Burnout | Standard ANOVA | Bayesian ANOVA.

Burnout syndrome has a high incidence among professional healthcare and social workers. This leads to deterioration in the quality of their working life and affects their health, the organization where they work and, via their clients, society itself. Given these serious effects, many studies have investigated this construct and identified groups at increased risk of the syndrome. The present work has 2 main aims: to compare burnout levels in potential risk groups among professional healthcare workers; and to compare them using standard and Bayesian statistical analysis. The sample consisted of 108 psycho-social care workers based at 2 centers run by the Granada Council in Spain. All participants, anonymously and individually, filled in a booklet that included questions on personal information and the Spanish adaptation of the Maslach Burnout Inventory (MBI). Standard and Bayesian analysis of variance were used to identify the risk factors associated with different levels of burnout. It was found that the information provided by the Bayesian procedure complemented that provided by the standard procedure.
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