Determining Cutting Points of the Maslach Burnout Inventory for Nurses to Measure Their Level of Burnout Online
History Research
Volume 5, Issue 1, January 2017, Pages: 1-8
Received: Dec. 19, 2016; Accepted: Jan. 21, 2017; Published: Feb. 24, 2017
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Huan-Fang Lee, Departent of Nursing, National Cheng Kung University Hospital, Tainan, Taiwan; Nursing Department, Chung Hwa University of Medical Technology, Tainan, Taiwan; Nursing Department, National Cheng Kung University, Tainan, Taiwan
Hui-Ting Kuo, Departent of Nursing, Chi-Mei Medical Center, Tainan, Taiwan
Cheng-Li Chang, Departent of Nursing, Chi-Mei Medical Center, Tainan, Taiwan
Chia-Chen Hsu, Departent of Nursing, Chi-Mei Medical Center, Tainan, Taiwan
Tsair-Wei Chien, Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan; Department of Hospital and Health Care Administration, Chia-Nan University of Pharmacy and Science, Tainan, Taiwan
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This study is to determine cutting points for the Chinese version of the MBI-HSS and to design an online assessment tool that instantly measures a nurse’s burnout level. We illustrate (1) the traditional way for determining the cutting points of a scale when the binary classification groups was still known, and (2) the norm-reference approach without groups of binary classifications was used to determine the cutting points on three subscales for the MBIO-HSS. An online MBIO-HSS assessment APP for smartphones was incorporated with the cutting points to instantly display the level of burnout for nurses. The cutoff points of the MBI-HSS were ≤ 21 and ≤ 32 for the Emotional subscale, ≤ 23 and ≤ 30 for the Reduced Personal Accomplishment subscale, ≤ 6 and ≤ 12 for the Depersonalization subscale, and ≤ 15 and ≤ 17 (i.e., low, moderate, and high level) for the overall scores. An available-for-download online MBI-HSS APP for nurses was developed and demonstrated.
Nurse Burnout, MBI-HSS Chinese Version, Cutting Points, Prevalence
To cite this article
Huan-Fang Lee, Hui-Ting Kuo, Cheng-Li Chang, Chia-Chen Hsu, Tsair-Wei Chien, Determining Cutting Points of the Maslach Burnout Inventory for Nurses to Measure Their Level of Burnout Online, History Research. Vol. 5, No. 1, 2017, pp. 1-8. doi: 10.11648/j.history.20170501.11
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