Literature DB >> 32107121

Is the factorial structure of the Maslach Burnout Inventory Human Service Survey (MBI-HSS) replicable in the nursing profession in Peru? A national study.

Gustavo Alexis Calderón-de la Cruz1, César Merino-Soto2, Arturo Juárez-García3, Sergio Dominguez-Lara2, Manuel Fernández-Arata2.   

Abstract

OBJECTIVE: The Maslach Burnout Inventory (MBI) is an instrument commonly used for the evaluation of burnout syndrome. The version of the MBI-Human Service Survey (MBI-HSS) was applied to Peruvian nurses to explore the prevalence of this syndrome without previously considering possible evidence of validity to accredit its use. The purpose of this research is to evaluate the internal structure and reliability of the MBI-HSS in Peruvian nurses.
METHODS: The study was prepared through secondary data analysis based on the information collected from 2809 nurses in Peru obtained from the National Survey of Satisfaction of Health Users (ENSUSALUD) applied in 2014. An exploratory and confirmatory factor analysis was prepared; reliability was estimated with Cronbach alpha and omega.
RESULTS: The analyses indicated the presence of three factors, but with a reduction of 7 items; reliability was acceptable with the omega coefficient.
CONCLUSION: The results question the validity of the original version of the MBI-HSS for its application in Peruvian nurses, therefore, its diagnostic utility should be viewed with caution. As an alternative, it is advisable to prioritise the 15-item version and to continue with validation studies.
Copyright © 2020 Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Burnout ocupacional; Enfermeros; Estudios de validación; Nurses; Occupational burnout; Peru; Perú; Validation studies

Mesh:

Year:  2020        PMID: 32107121     DOI: 10.1016/j.enfcli.2019.12.013

Source DB:  PubMed          Journal:  Enferm Clin        ISSN: 1130-8621


  3 in total

1.  Relationship between job satisfaction, burnout syndrome and depressive symptoms in physicians: a cross-sectional study based on the employment demand-control model using structural equation modelling.

Authors:  David Villarreal-Zegarra; Wilder Iván Lázaro-Illatopa; Ronald Castillo-Blanco; Baltica Cabieses; Alice Blukacz; Luciana Bellido-Boza; Edward Mezones-Holguin
Journal:  BMJ Open       Date:  2022-10-19       Impact factor: 3.006

2.  Psychometric properties of the Maslach Burnout Inventory for Medical Personnel (MBI-HSS-MP).

Authors:  Chung-Ying Lin; Zainab Alimoradi; Mark D Griffiths; Amir H Pakpour
Journal:  Heliyon       Date:  2022-02-01

3.  Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study.

Authors:  Carles Forné; Oriol Yuguero
Journal:  BMC Med Educ       Date:  2022-08-12       Impact factor: 3.263

  3 in total

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