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Psychometric properties of the S panish B urnout I nventory among staff nurses
Author(s) -
GilMonte P. R.,
ManzanoGarcía G.
Publication year - 2015
Publication title -
journal of psychiatric and mental health nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.69
H-Index - 63
eISSN - 1365-2850
pISSN - 1351-0126
DOI - 10.1111/jpm.12255
Subject(s) - burnout , psychology , conceptualization , confirmatory factor analysis , psychometrics , nursing , clinical psychology , applied psychology , medicine , structural equation modeling , statistics , mathematics , artificial intelligence , computer science
Accessible summary The burnout syndrome contributes to the deterioration in the quality of personal life as well as lower quality practice in healthcare personnel. Researchers have been concerned about the psychometric limitations of some previous questionnaires designed to evaluate burnout. The Spanish Burnout Inventory was developed to address the problems associated with other instruments, but it has not yet been validated in staff nurses. This study provides evidence that the Spanish Burnout Inventory has adequate psychometric properties to estimate burnout in staff nurses. The Spanish Burnout Inventory offers a theoretical proposal to explain the different components of burnout. The Spanish Burnout Inventory provides researchers and practitioners with an expanded conceptualization of the burnout syndrome, which can facilitate the diagnosis and treatment of nursing professionals.Abstract Researchers have been concerned about the psychometric limitations of the some previous questionnaires designed to evaluate burnout. To address these problems associated with previous instruments, the S panish B urnout I nventory ( SBI ) was developed. The instrument has not yet been validated in staff nurses. The purpose of this paper was to evaluate the psychometric properties of the SBI . The sample consisted of 720 staff nurses from two S panish general hospitals. The instrument is composed of 20 items distributed in four dimensions: Enthusiasm towards the job (five items), P sychological exhaustion (four items), I ndolence (six items) and G uilt (five items). Data were subjected to confirmatory factor analysis. To assess the factorial validity of the SBI , four alternative models were tested. Results show that the four‐factor model of the SBI has adequate psychometric properties for the study of burnout in staff nurses. This model fitted the data better than the alternative models. The study provides evidence of the adequate psychometric properties of a measure to evaluate burnout in nursing professionals. The SBI proposes a theoretical explanation for the different types of burnout, facilitating the diagnosis and treatment of staff nurses.