Yao Yibei, Cao Jindan, Tan Zheng, Chen Keli
School of Public Health, Jilin University, Changchun, China.
Shenzhen Health Development Research and Data Management Centre, Shenzhen, China.
Front Public Health. 2025 Jul 21;13:1634261. doi: 10.3389/fpubh.2025.1634261. eCollection 2025.
To construct a scientifically validated and practical digital health competency assessment framework for public health services, addressing gaps in current evaluation paradigms that fail to comprehensively assess individuals' proactive engagement with digital health tools.
The study employed a mixed-methods approach, beginning with a systematic literature review and structured interviews to draft an initial indicator system. Two rounds of Delphi consultations with 15 experts were conducted to refine the framework, followed by quantification of indicators using the Analytic Hierarchy Process (AHP).
The final framework comprises 3 primary indicators (Health Literacy, Information Literacy, Digital Competency), 9 secondary indicators, and 19 tertiary indicators. Health Literacy and Information Literacy were weighted highest (0.4545 each), reflecting their foundational roles, while Digital Competency (0.0909) served as a complementary enabler.
This study addresses a critical gap in digital health research by providing a multidimensional assessment tool that integrates technological, cognitive, and behavioral dimensions. The framework aligns with global digital health strategies and responds to societal challenges like the "digital divide." Its practical applications include guiding policy-making, optimizing digital health services, and tailoring health education programs to improve public health outcomes.
构建一个经过科学验证且实用的公共卫生服务数字健康能力评估框架，以弥补当前评估模式中存在的不足，即未能全面评估个人对数字健康工具的主动应用情况。
本研究采用混合方法，首先进行系统的文献综述和结构化访谈，以起草初始指标体系。随后与15位专家进行两轮德尔菲咨询，以完善该框架，接着使用层次分析法（AHP）对指标进行量化。
最终框架包括3个一级指标（健康素养、信息素养、数字能力）、9个二级指标和19个三级指标。健康素养和信息素养的权重最高（各为0.4545），反映出它们的基础作用，而数字能力（0.0909）则起到辅助推动作用。
本研究通过提供一个整合技术、认知和行为维度的多维度评估工具，填补了数字健康研究中的一个关键空白。该框架与全球数字健康战略相一致，并应对了诸如“数字鸿沟”等社会挑战。其实际应用包括指导政策制定、优化数字健康服务以及定制健康教育项目，以改善公共卫生成果。
