A New Approach to Identify High Burnout Medical Staffs by Kernel K-Means Cluster Analysis in a Regional Teaching Hospital in Taiwan

This study uses kernel k-means cluster analysis to identify medical staffs with high burnout. The data collected in October to November 2014 are from the emotional exhaustion dimension of the Chinese version of Safety Attitudes Questionnaire in a regional teaching hospital in Taiwan. The number of e...

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Detalles Bibliográficos
Autores principales: Lee, Yii-Ching, Huang, Shian-Chang, Huang, Chih-Hsuan, Wu, Hsin-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Healthcare in the National Health Insurance System in Taiwan
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798705/
https://www.ncbi.nlm.nih.gov/pubmed/27895218
http://dx.doi.org/10.1177/0046958016679306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798705/
https://www.ncbi.nlm.nih.gov/pubmed/27895218
http://dx.doi.org/10.1177/0046958016679306

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