Dataset Information

Reliability and validity study of the Thai adaptation of the Copenhagen Burnout Inventory-Student Survey (CBI-SS) among preclinical medical students at the Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand.

ABSTRACT: Burnout syndrome is a syndrome of emotional exhaustion, professional efficacy and cynicism. A significant proportion of medical students reported having burnout syndrome during their training in medical education. Several tools including the Copenhagen Burnout Inventory-Student Survey (CBI-SS) are considered to be a valid measurement of burnout syndrome in medical students. This study aimed to translate, culturally adapt, and validate the CBI-SS for assessing burnout syndrome among preclinical medical students in Thailand. This study was conducted during February to March 2019 at the Faculty of Medicine Siriraj Hospital, Mahidol University (Bangkok, Thailand), which is Thailand's largest and oldest medical school, and Thailand's largest national tertiary referral center. After receiving formal permission to do so from the copyright owner, the original English language version of the CBI-SS was translated to Thai language using an internationally recommended and accepted forward-backward translation protocol. The Thai version of the CBI-SS (Thai CBI-SS) comprises 25 items, including 6 items for personal burnout, 7 items for study-related burnout, 6 items for colleague-related burnout, and 6 items for teacher-related burnout. Standardized Cronbach's alpha coefficient was calculated to evaluate internal consistency reliability, and correlation coefficient was computed to determine test-retest reliability. A total of 414 preclinical medical students participated in this study. Due to sub-optimal factor weights (<0.50), items 6, 10 and 17 were excluded. The Cronbach's alpha coefficients of the 22-item Thai CBI-SS for personal, study-related, colleague-related, and teacher-related burnout were 0.898, 0.896, 0.910 and 0.900 respectively. The correlation coefficients for test-retest reliability after three weeks were 0.820, 0.870, 0.821, and 0.787 for personal, study-related, colleague-related, and teacher-related burnout, respectively. Maximum likelihood analysis with oblimin rotation indicated four main components, and confirmatory factor analysis revealed good fit indices of the Thai CBI-SS. Confirmatory factor analysis showed good fit indices of CBI-SS domains (χ2/df = 2.39; CFI = 0.957; GFI = 0.909; RMSEA = 0.058; TLI = 0.949; and NFI = 0.928). The convergent validity analysis using the Average Variance Extracted (AVE) and the Composite Reliability (CR) was adequate for all dimensions (personal: AVE = 0.626, CR = 0.893; study-related: AVE = 0.601, CR = 0.899; colleague-related: AVE = 0.677, CR = 0.913; teacher-related: AVE = 0.606, CR = 0.900). The HTMT values for all variables are in the range from 0.315 to 0.833, confirming the discriminant validity. The Thai CBI-SS was found to be a valid and reliable tool for evaluating burnout syndrome in preclinical medical students in Thailand.

SUBMITTER: Wongtrakul W

PROVIDER: S-EPMC8717990 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundMedical student burnout can cause emotional and physical exhaustion and detachment. The objectives of this study were to evaluate burnout using the Maslach Burnout Inventory-Student Survey (MBI-SS), identify factors that may predict burnout, and assess wellness initiatives effectiveness at reducing burnout.MethodsThe MBI-SS was administered to all medical students (Classes 2019 to 2022) at the University of Illinois College of Medicine (UICOM) from February to May 2019. Factor analysis and internal consistency of the MBI-SS were assessed. Mean MSBI-SS subscale scores for burnout were calculated for cynicism (CY), emotional exhaustion (EE), and academic efficacy (AE). Multiple regression analysis was used to identify student factors that may predict burnout.ResultsA total of 273 (21.6%) UICOM students completed the survey and 110 (40.3%) respondents reported self-perceived burnout. MBI-SS subscale scores were significantly higher for CY and EE, and significantly lower for AE in students who reported suffering from burnout versus students who did not report burnout. Mean ± SD subscale scores for CY, EE, and AE in burnout students were 14.44 ± 5.59, 23.23 ± 4.74, and 24.81 ± 5.35, respectively. In comparison, mean ± SD subscale scores for CY, EE, and AE in non-burnout students were 7.59 ± 5.16, 14.96 ± 5.71, and 28.74 ± 3.21, respectively. Regression analysis denoted significant associations between burnout and being out-of-phase in the curriculum, the effectiveness of wellness initiatives, and strength of motivation for medical school (SMMS) in both the two- and three-dimensional MBI-SS models. Gender was significantly associated with burnout in only the two-dimensional model.ConclusionsSelf-reported burnout in medical students at UICOM was validated using the MBI-SS. Being out-of-phase in the curriculum, being female, rating wellness initiatives as less effective, and demonstrating lower motivation for continued medical school education may be used as predictors of medical student burnout. This investigation may act as a guide for measuring burnout in medical student populations and how the implementation of wellness initiatives may ameliorate burnout.

Project description:BackgroundCommunity pharmacists (CPs) are one of the frontline healthcare workers (HCWs) working diligently to provide much-needed services during the COVID-19 pandemic. Burnout was one of the detrimental outcomes of the pandemic on the mental health of Lebanese CPs. To assess the extent of this syndrome among Lebanese CPs, a psychometrically reliable and valid tool is needed.ObjectivesThis study aimed to validate the Arabic version of the Copenhagen Burnout Inventory (CBI-A) for use in the assessment of burnout among CPs.MethodsA web-based cross-sectional study was conducted among Lebanese CPs over February 2021. Data were collected using an anonymous Arabic self-administered questionnaire that includes information on socio-demographic characteristics, work-related variables, in addition to the measurements: the CBI which includes personal, work-related, and patient-related dimensions of burnout, and the hospital anxiety and depression scale. Data were analyzed using SPSS and Amos software. Exploratory factor analysis and confirmatory factor analysis were performed to explore the factorial structure and to measure model fit. Cronbach's alpha was used to assess internal consistency. The criterion validity of the CBI was assessed. Multivariable linear regression analyses were used to explore the association between different aspects of burnout and mental health outcomes such as depression and anxiety.ResultsThe CBI-A showed high internal consistency with Cronbach's alphas varied from 0.774 to 0.902 and a low floor and ceiling effect (1-9%). As for the CBI-A construct validity, the exploratory factor analysis showed three factors with good factor loadings and explained 72.17% of the variance. The confirmatory analysis supported the three-factorial structure of the CBI that presented a good overall fit based on the goodness-of-fit indices. Ad hoc modifications to the model were introduced based on the modification indices to achieve a satisfactory fit by allowing one covariate error between one pair of items within the personal burnout domain. All of the 19 items were kept in the construct since they showed a good factorial weight. The CBI-A is associated with burnout-related factors in expected directions, including extensive working hours, sleeping hours, and job satisfaction, indicating, therefore, the criterion validity of the tool. CBI subscales were also found positively associated with mental health outcomes such as depression and anxiety demonstrating, in turn, a predictive validity.ConclusionThis study provides evidence for the validity and reliability of the Arabic version of CBI as an adequate tool for assessing burnout among CPs. Such an instrument could be useful for assessing such syndrome among other healthcare workers.

Dataset Information

Reliability and validity study of the Thai adaptation of the Copenhagen Burnout Inventory-Student Survey (CBI-SS) among preclinical medical students at the Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets