Besides the negative impact in the nurse, the overall level of nurse burnout in hospital units has been reported to affect patient satisfaction and other measures of deficient care quality ( 25). Burnout is high among nurses and nursing assistants ( 19– 21) in diverse healthcare settings ( 22– 24). Nurses play a distinct and critical role in the health system however they are frequently under increased stress and work overload ( 18). Reduced PA reflects feelings of incompetence at work and negative self-evaluation ( 1, 9).īurnout leads to personal suffering including sleep complaints ( 10), increased use of alcohol/drugs ( 11), family conflict ( 12), higher work absenteeism ( 13), higher staff turnover, early retirement and significant financial impact ( 14), self-reported unprofessional conduct ( 15), and suicidal ideation ( 16, 17). DE comprises negative, detached and impersonal attitudes toward other people (i.e., clients and patients). BackgroundĪccording to Maslach's description, EE is the syndrome‘s core dimension and refers to feelings of being emotionally overextended and depleted of one's emotional resources ( 1). Depression has a significant relationship with burnout however, the potential influence of major depressive disorder (MDD) on MBI validation has not been specifically investigated. Some inconsistencies in its validation and its possible determinants have been described ( 5– 8). The Maslach Burnout Inventory (MBI) is the most widely used instrument to assess burnout it has been translated into various languages and has been used in innumerous countries ( 4). 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.īurnout is a syndrome including emotional exhaustion (EE), depersonalization (DE) and low personal accomplishment (PA), resulting from prolonged stress at work ( 1– 3). For the total sample, while original 3-factor solution was an acceptable model, the bifactor model fitted data better.Ĭonclusions: MDD may impair the construct validity of MBI-HSS subscales, by increasing measurement error and decreasing model fitness. 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. 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). We developed this study to investigate the influence of MDD on the psychometric properties of the MBI-HSS in nursing assistants. Although various factors have been reported to influence its validity, the influence of major depressive disorder (MDD) has not been previously considered.
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