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1 Ergebnisse
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A New Approach to Identify High Burnout Medical Staffs by K..:
Lee, Yii-Ching
;
Huang, Shian-Chang
;
Huang, Chih-Hsuan
.
Inquiry. 53 (2016) - p. 1-6 , 2016
Link:
https://www.jstor.org/stable/26369646
RT Journal T1
A New Approach to Identify High Burnout Medical Staffs by Kernel K-Means Cluster Analysis in a Regional Teaching Hospital in Taiwan
UL https://suche.suub.uni-bremen.de/peid=jstor-26369646&Exemplar=1&LAN=DE A1 Lee, Yii-Ching A1 Huang, Shian-Chang A1 Huang, Chih-Hsuan A1 Wu, Hsin-Hung PB SAGE YR 2016 SN 0046-9580 SN 1945-7243 K1 kernel k-means cluster analysis K1 Maslach Burnout Inventory K1 emotional exhaustion K1 Safety Attitudes Questionnaire K1 burnout K1 resilience K1 patient safety JF Inquiry VO 53 SP 1 OP 6 LK http://dx.doi.org/https://www.jstor.org/stable/26369646 DO https://www.jstor.org/stable/26369646 SF ELIB - SuUB Bremen
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