Evaluating the Psychometric Properties of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) among Italian Nurses: How Many Factors Must a Researcher Consider?

Abstract

BackgroundThe Maslach Burnout Inventory (MBI) is the mainstream measure for burnout. However, its psychometric properties have been questioned, and alternative measurement models of the inventory have been suggested.AimsDifferent models for the number of items and factors of the MBI-HSS, the version of the Inventory for the Human Service sector, were tested in order to identify the most appropriate model for measuring burnout in Italy.MethodsThe study dataset consisted of a sample of 925 nurses. Ten alternative models of burnout were compared using confirmatory factor analysis. The psychometric properties of items and reliability of the MBI-HSS subscales were evaluated.ResultsItem malfunctioning may confound the MBI-HSS factor structure. The analysis confirmed the factorial structure of the MBI-HSS with a three-dimensional, 20-item assessment.ConclusionsThe factorial structure underlying the MBI-HSS follows Maslach’s definition when items are reduced from the original 22 to a 20-item set. Alternative models, either with fewer items or with an increased number of latent dimensions in the burnout structure, do not yield better results to justify redefining the item set or theoretically revising the syndrome construct.

Toward validating the Italian version of the "Spanish Burnout Inventory": a preliminary study

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Prevalence of Burnout Syndrome in Emergency Nurses: A Meta-Analysis

“…27 Including literature that used the MBI for assessing burnout facilitated data interpretation; although studies may have used different versions of the test, the results are based on similar cutoff values. The MBI use facilitated the integration and interpretation of the results of the studies because including results from other burnout questionnaires (with different cutoff values of burnout, or even different subscales) would not allow for an integrated reliability analysis.…”