maslach burnout inventory human service survey

The implications of these findings for interventions that reduce burnout and promote nursing mental health are therefore in the interest of employers, governments and policy makers. Burnout is particularly prominent and severe in the nurses working population. Conclusion: Findings indicate that the main psychometric properties of reliability and validity of the Arabic version of MBI-HSS appear to be satisfactory. Depression, backache, and headache were predictors of burnout. Depersonalization proved to be higher in night and rotating shift nurses. Depersonalization was highest among nurses in private sector, and personal accomplishment was highest among nurses in public sector. Married nurses had significantly higher emotional exhaustion. Burnout increases for 30 - 39 years age groups. Nearly three quarters (77.5%) reported emotional exhaustion, 36.0% reported depersonalization while almost one third (33.0%) experienced reduced personal accomplishment. Most of staff had scores which indicated they were burnt out.

The factor analysis was quite satisfactory. Results: The results indicated satisfactory reliability through internal consistency for all three scales of the MBI-HSS. The data were analyzed by means of descriptive statistics and multivariate analysis. In this descriptive study, survey data were collected from private and public hospitals.

Methods: The psychometric properties of the Arabic version of MBI-HSS were studied amongst a sample of 200 nurses.

This paper aims to examine the psychometric properties of the Maslach Burnout Questionnaire (MBI-HSS) for validation of use in Lebanon, and to describe burnout and associated factors amongst nurses in Lebanon especially the gender and employment sector. Keywords: Burnout Maslach Psychometrics Properties Nursesīackground: Burnout is a mental condition defined as a result of continuous and long-term stress exposure, particularly related to psychosocial factors at work. Received revised 25 June 2012 accepted 3 July 2012 1Faculty of Public Health, Lebanese University, Saida, Lebanon *Corresponding Author: of Economic Sciences and Business Administration, Lebanese University, Nabatieh, LebanonģDoctoral School of Literature, Humanities & Social Sciences, Institute of Social Science, Lebanese University, Saida, Lebanon

Maslach burnout inventory human service survey