关键词: 全球卫生, 人才培训, 评价指标, 文献计量学, 决策导向评价模式

Abstract: Objective　To identify the current research hotspots of global health training, and construct a global health talent training evaluation index system. Methods　Publications pertaining to global health talent training evaluation were retrieved in China National Knowledge Infrastructure, Wanfang Database, and Web of Science Core Collection from 2003 to 2022, and keywords were extracted from eligible publications for co⁃occurrence and cluster analyses using the CiteSpace software. Based on keywords clustering results, a global health talent training evaluation index system was constructed using a context, input, process, and product (CIPP) evaluation model as a theoretical framework. Results　A total of 692 Chinese publications and 1 264 English publications were included. Keyword co⁃occurrence and cluster analyses yielded 10 Chinese and 10 English keyword clusters, and the 10 Chinese keyword clusters included analytic hierarchy process, health diplomacy, personnel structure, cross⁃discipline, educational assessment, global health discipline development, training needs, curriculum program, quality evaluation and logistics support, while the English keyword clusters included evidence⁃based practice, capacity building, global health, quality of life, machine learning, leadership, sub⁃Saharan Africa, health equity, global health security and global health diplomacy. Based on keyword clustering, a global health talent training evaluation index system was constructed with CIPP as the theoretical framework, which contained 4 primary indicators, 15 secondary indicators and 59 tertiary indicators, and the primary indicators included 4 dimensions of context evaluation, input evaluation, process evaluation and product evaluation. Conclusions　A global health talent training evaluation index system has been constructed, which provides an effective evaluation tool and quantitative evidence for future global health talent training.

Key words: Global Health, Talent training, Evaluation indicator, Bibliometric analysis, Context, input, process, and product evaluation model