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Evaluation of the Psychometric Properties of the Oldenburg Burnout Inventory among Bangladeshi Medical Doctors

dc.contributor.authorMousum, Sabrina
dc.date.accessioned2025-11-13T22:09:41Z
dc.date.available2025-11-13T22:09:41Z
dc.date.issued2020
dc.description.abstractBackground: Burnout, a psychosocial problem with professionals working with people, is characterized by mental exhaustion, depersonalization, and a sense of decreased performance in everyday activities. Owing to its negative effect on patient care and higher medical expenses, burnout in physicians has received substantial interest. Bangladesh, which is already suffering from a lack of human resources for health (HRH), has entered the COVID-19 pandemic with a critically low number of health staff. As a result, the workload of doctors working at the local scale is huge, leading to burnout. A proactive action should be taken to avoid the overwhelming result of burnout from affecting our health care infrastructure. Before assessing burnout, we need a reliable instrument to calculate burnout correctly. In order to maintain the legitimacy of any documented research findings, it is necessary to ensure the accuracy of the instruments used. Aim: The present study was aimed to develop a culturally adapted and validated Bengali version of the Oldenburg Burnout Inventory (OLBI) for use in evaluating the burnout of medical doctors in Bangladesh. Methodology: This cross-sectional study was conducted in six tertiary level hospitals in Dhaka city from January 2020 to December 2020 for one year. A total of 313 medical doctors serving in six tertiary-level hospitals in Dhaka City were taken as samples. For the data collection, a purposive sampling procedure was applied. The method of translation went through a structured forward-and back-translation method. Prior to the study, the research protocol was approved by the Institutional Review Board of BSMMU, Dhaka. Results: Among 313 respondents 56.2% were male and 43.8% were female where 52.1% were from 31-40 years of age group. More than half of the respondents (51.8%) worked in the COVID-19 ward. About 61% of respondents did not have any significant comorbidities and 77% were not infected by COVID-19 at the time of this study. Internal consistency measured by Cronbach’s alpha (0.82) was acceptable. Exploratory factor analysis (EFI) and confirmatory factor analysis (CFI) supported a two-factor model (Exhaustion and Disengagement), which were correlated. The Bengali version of the OLBI showed an underlying two-factor structure where Goodness of Fit Indices was X2 – statistic/(df)= 1.942, p-value= <0.001, Tucker-Lewis Index (TLI)=0.919, Adjusted goodness of fit index (AGFI)= 0.915, Standardized Root Mean Square Residual (SRMR)=0.067. The mean scores of Exhaustion and Disengagement between fair to excellent sleep quality and terrible to poor sleep quality were 27.30 and 29.08 (p=0.022) and 14.23 and 16.66 (p=<0.001), respectively. This confirms, the excellent known group validity of the questionnaire. Conclusions: The translation of OLBI revealed that it was not purely unidimensional. A bi-dimensional fit with two associated factors reflecting physical and psychological aspects of burnout was found to be supported. We discovered that the Questionnaire could detect significant differences between known classes, such as sleep quality. The translated OLBI was interpreted as a reliable instrument having strong validity evidence for measuring burnout in Bangladeshi medical doctors.
dc.format.mimetypeapplication/pdf
dc.identifier.citationMousum, S. (2020). Evaluation of the psychometric properties of the Oldenburg burnout inventory among Bangladeshi medical doctors (unpublished master's thesis). Bangabandhu Sheikh Mujib Medical University. https://ir.ua.edu/handle/123456789/17401
dc.identifier.urihttps://ir.ua.edu/handle/123456789/17401
dc.subjectBurnout
dc.subjectMedical doctors
dc.titleEvaluation of the Psychometric Properties of the Oldenburg Burnout Inventory among Bangladeshi Medical Doctors
dc.typeThesis

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