Cultural adaptation and examination of metric characteristics shirom-melamed burnout questionnaire (SMBQ) on a sample of pharmacists in Serbia

Abstract

© 2018, Association of Pharmaceutical Teachers of India. All rights reserved. Introduction: Due to the nature of work in pharmacies pharmacists may occur job burnout, which can affect the quality of health services. It is necessary to use validated instruments to test the burnout. One type of instrument is Shirom-Melamed Burnout Questionnaire (SMBQ). Objective: The primary objectives of this work are: cultural adaptation and assessment metric characteristics of SMBQ in a population of pharmacists in Serbia. Alternative objective is evaluate the degree of burnout in the pharmacist population. Methods: For comparison Maslach Burnout Inventory (MBI) was used. All licensed pharmacists have received an email by the Pharmaceutical Chamber of Serbia, with a link for accessing the questionnaires. The questionnaires were completed by 514 pharmacists. Results and Discussion: Professional translators carried out the translation using translation steps like forward translation and backward translation. Were calculated following metric characteristics: α - reliability coefficient Cronbach and associates; β - the reliability of the first principal component; ψ1 - representativeness; h1 - the homogeneity (the average correlation of scale items), extent of curvature, horizontal (Skewness) and vertical (Kurtosis). Correlations between subscales are examined. Latent structure SMBQ (maximumlikelihud extraction) is examined. To select a number of factors, the method of parallel analysis was used. For calculation number of latent factors the Hull method was applied. Concurrent validity was examined by correlating the results of the questionnaire SMBQ and MBI. To confirm a one factor solution of the scale, factor analysis was used. Conclusion: All methods show that it is best to keep only one factor. SMBQ satisfies theoretical statistical criteria of reliability and validity and can be used to estimate job burnout at pharmacist population.