Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

Burnout measure – short version (BMS)

JE Justine Evans
MR Madeline Romaniuk
RT Rebecca Theal
ask Ask a question
Favorite

Participants completed the BMS at all three assessment time points. The BMS is a 10-item self-report measure that assesses level of burnout based on physical, emotional, and mental exhaustion [27]. The BMS has been modified for this study to replace ‘work overall’ with ‘supporting your veteran family member’ to assess burnout related to caring for a family member with a mental health condition. Questions are rated on 7-item likert scale from 1 (Never) to 7 (Always), with higher scores indicating higher levels of burnout (range = 10 to 70). A mean score of 3.5 or more is indicative of burnout. Research indicates the BMS is a valid and reliable measure with satisfactory internal consistency (α = .85–.92) and test-retest reliability.

Copyright and License information: The Author(s) ©2021
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A