Literature DB >> 31526056

Measuring Burnout in Pediatric Oncology Staff: Should We Be Using the Maslach Burnout Inventory?

Suzanne Mukherjee1, Alan Tennant2, Bryony Beresford1.   

Abstract

Burnout in health service staff is a cause for concern since it has negative consequences for the individual affected, the wider organization, and patients. The Maslach Burnout Inventory-Human Services Survey (MBI-HSS) has been widely used to assess the prevalence of burnout within oncology services. The MBI-HSS is a self-report measure comprising three subscales-Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA). This article reports on the first study to investigate the psychometric properties of the MBI-HSS when administered to pediatric oncology staff. Two hundred and three pediatric oncology staff recruited through seven UK Principal Treatment Centers (PTCs) and a children's cancer charity completed the MBI-HSS. The factor structure of the instrument was tested using confirmatory and exploratory factor analysis, with Rasch analysis applied to assess whether the measure meets the requirements of an interval-level scale. Cronbach alpha was used to assess internal reliability. Factor analysis did not support the traditional three-factor structure of the MBI-HSS but instead suggested seven factors. Rasch analysis and alpha coefficients indicated that while the EE and the PA subscales fulfilled the requirements of an interval-level measure for group-level diagnosis, DP did not. Further investigation revealed a "floor effect" on many DP items. Whereas the EE and PA subscales of the MBI-HSS can be used in research with pediatric oncology staff working in PTCs, there are considerable problems with the DP subscale, and researchers should be cautious in interpreting data from this subscale.

Entities:  

Keywords:  burnout; cancer; pediatric; psychometrics

Mesh:

Year:  2019        PMID: 31526056     DOI: 10.1177/1043454219873638

Source DB:  PubMed          Journal:  J Pediatr Oncol Nurs        ISSN: 1043-4542            Impact factor:   1.636


  3 in total

1.  A Rasch analysis of the Burnout Assessment Tool (BAT).

Authors:  Emina Hadžibajramović; Wilmar Schaufeli; Hans De Witte
Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

2.  Burnout among midwives-the factorial structure of the burnout assessment tool and an assessment of burnout levels in a Swedish national sample.

Authors:  Emina Hadžibajramović; Malin Hansson; Magnus Akerstrom; Anna Dencker; Gunnel Hensing
Journal:  BMC Health Serv Res       Date:  2022-09-16       Impact factor: 2.908

3.  The moderating effect of burnout on professionalism, values and competence of nurses in Saudi Arabia amidst the COVID-19 pandemic: A structural equation modelling approach.

Authors:  Rizal Angelo N Grande; Daniel Joseph E Berdida; Hazel N Villagracia; Sage Mesias Raguindin; Larry Terrence O Cornejo; Nashi Masnad Al Reshidi; Ahmad Tuaysan Alshammari; Bander Jarallah Aljebari; Asmaa Mohammed Ali AlAbd
Journal:  J Nurs Manag       Date:  2022-08-08       Impact factor: 4.680

  3 in total

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