Liu Zhuang, Zhang Yue, Tian Lei, Sun Baozhi, Chang Qing, Zhao Yuhong
School of Public Health, China Medical University, Shenyang, Liaoning, China.
Research Center for Medical Education, China Medical University, Shenyang, Liaoning, China.
BMC Med Educ. 2017 Nov 13;17(1):208. doi: 10.1186/s12909-017-1039-4.
The physicians' competency is an important public health issue around the world. Several international organizations have taken the lead in examining the competencies required to be a physician. The purpose of this study is to identify subgroups of physicians' competency based upon the importance results of competency evaluation and provide a scientific basis for the qualitative research of the competency of physicians.
A cross-sectional study was conducted on a large population-based sample in 31 provinces, autonomous regions and municipalities directly under the central government in China. The latent class analysis was performed to identify patterns of physicians' competency using M-plus software.
In this study, the latent class analysis was adopted to identify the appropriate number of distinct latent classes of physicians' competency based on eight competency dimensions, and a four-class model best fit the data, which are excellent competency group, lack of professionalism competency group, individual competency driven group, and lack of competency cognitive group. Therefore, 6247 physicians can be divided into four latent classes based on the importance results of competency evaluation, and the number of each class is 5684, 284, 215 and 64, respectively.
These findings suggested that latent class analysis can be used to study the competency of physicians, and four distinct subgroups were identified. Therefore, we can effectively understand the patterns of physicians' competency, and the health administrative departments could utilize more specific measures according to their different competency subgroups, and providing individualized training schemes in the future training and management of physicians.
医生的胜任力是全球重要的公共卫生问题。几个国际组织已率先对成为一名医生所需的胜任力进行考察。本研究的目的是基于胜任力评价的重要性结果确定医生胜任力的亚组，为医生胜任力的质性研究提供科学依据。
在中国31个省、自治区、直辖市基于大样本人群开展横断面研究。使用M-plus软件进行潜在类别分析以确定医生胜任力模式。
本研究采用潜在类别分析，基于八个胜任力维度确定医生胜任力不同潜在类别的合适数量，四类模型最符合数据，分别为优秀胜任力组、缺乏专业精神胜任力组、个体胜任力驱动组和缺乏胜任力认知组。因此，根据胜任力评价的重要性结果，6247名医生可分为四个潜在类别，每组人数分别为5684、284、215和64。
这些发现表明潜在类别分析可用于研究医生的胜任力，并识别出四个不同的亚组。因此，我们可以有效了解医生胜任力模式，卫生行政部门在未来医生培训和管理中可根据其不同的胜任力亚组采取更具针对性的措施，并提供个性化培训方案。
