The Influence of Depression on the Psychometric Properties of the Maslach Burnout Inventory–Human Services Survey: A Cross-Sectional Study With Nursing Assistants

Frontiers in Psychiatry

José O. Siqueira¹  Jaime Eduardo C. Hallak²  Dan V. Iosifescu⁴  Mara Cristina S. de Lucia⁵  Telma R. Trigo⁶  Camila C. S. de Freitas⁶  Renerio Fraguas⁶  Yuan-Pang Wang⁷  Floracy G. Ribeiro⁸ 

[1] Department of Experimental Psychology, Institute of Psychology, University of São Paulo, São Paulo, Brazil;Department of Neurosciences and Behavior, University of São Paulo School of Medicine, São Paulo, Brazil;Department of Pathology, University of São Paulo School of Medicine, São Paulo, Brazil;Department of Psychiatry, New York University School of Medicine, New York, NY, United States;Division of Psychology, Central Institute, Clinics Hospital, University of São Paulo School of Medicine, São Paulo, Brazil;Laboratory of Neuro Imaging (LIM-21), Department and Institute of Psychiatry, Clinics Hospital, University of São Paulo School of Medicine, São Paulo, Brazil;Section of Psychiatric Epidemiology (LIM-23), Department and Institute of Psychiatry, Clinics Hospital, University of São Paulo School of Medicine, São Paulo, Brazil;Technical Advisory Office–State Department of Health–São Paulo State Government, São Paulo, Brazil;

关键词: burnout;    depression;    maslach burnout inventory;    validity;    nursing;   

DOI  :  10.3389/fpsyt.2018.00695

来源: DOAJ

【 摘 要 】

Background: The Maslach Burnout Inventory-Human Services Survey (MBI-HSS) is the most commonly used instrument to assess burnout. Although various factors have been reported to influence its validity, the influence of major depressive disorder (MDD) has not been previously considered. We developed this study to investigate the influence of MDD on the psychometric properties of the MBI-HSS in nursing assistants.Results: From a sample of 521 nursing assistants, we found in those with MDD (n = 138, 24.56%) a degree of data misfit into the model, revealed by non-acceptable values for the root mean square error of approximation (RMSEA; 0.073; p = 0.004) and for the comparative fit index (CFI; 0.912), while in the non-MDD group these indices were acceptable and good, respectively, for RMSEA (0.048; p = 0.639) and for CFI (0.951). Also, we found higher coefficients of correlation among MBI-HSS factors and less items loading properly in their respective factors in the MDD subset, when compared to the non-MDD subset. For the total sample, while original 3-factor solution was an acceptable model, the bifactor model fitted data better.Conclusions: MDD may impair the construct validity of MBI-HSS subscales, by increasing measurement error and decreasing model fitness. Therefore, researchers and health professionals should be aware of potential changes in the psychometric properties of the MBI-HSS when applied in subjects with depression.

【 授权许可】

Unknown