AUTHOR=Trigo Telma R. , Freitas Camila C. S. de , Wang Yuan-Pang , Ribeiro Floracy G. , de Lucia Mara Cristina S. , Siqueira José O. , Iosifescu Dan V. , Hallak Jaime Eduardo C. , Fraguas Renerio
TITLE=The Influence of Depression on the Psychometric Properties of the Maslach Burnout Inventory–Human Services Survey: A Cross-Sectional Study With Nursing Assistants
JOURNAL=Frontiers in Psychiatry
VOLUME=9
YEAR=2018
URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2018.00695
DOI=10.3389/fpsyt.2018.00695
ISSN=1664-0640
ABSTRACT=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.