桂林市医务人员数字素养提升意愿的影响因素及路径分析
Analysis of influencing factors and paths for enhancing the willingness of medical personnel in Guilin City to improve digital literacy
康良发 1张忱 1唐国荣 2王强芬3
作者信息
- 1. 桂林医科大学公共卫生学院,广西 桂林 541199
- 2. 桂林医科大学公共卫生学院,广西 桂林 541199;桂林市疾病预防控制中心,广西 桂林 541001
- 3. 桂林医科大学人文与管理学院,广西 桂林 541199
- 折叠
摘要
在医疗数字化转型背景下,医务人员数字素养的提升已成为提高医疗服务质量和效率的关键因素.文章基于计划行为理论,构建结构方程模型,探讨行为态度、主观规范、感知行为控制及医院资源投入对桂林市医务人员数字素养提升意愿的影响路径.结果表明,医务人员数字素养提升意愿得分为(3.90±0.70)分;不同年龄组、学历的医务人员提升意愿存在显著差异(P<0.05);行为态度、主观规范、感知行为控制均对提升意愿有显著正向影响;主观规范与感知行为控制在医院资源投入对提升意愿的影响中发挥中介作用.研究提示,提升医务人员数字素养需兼顾个体信念因素与外部资源支持,尤其需关注低学历、年轻群体的需求.
Abstract
In the context of healthcare digital transformation,enhancing the digital literacy of healthcare professionals has become a key factor in improving the quality and efficiency of healthcare services.Based on the Theory of Planned Behavior(TPB),this study constructed a structural equation model(SEM)to explore influence paths of behavioral attitudes,subjective norms,perceived behavioral control,and hospital resource inputs on the willingness of healthcare professionals in Guilin to improve their digital literacy.The results showed that the mean score for willingness to improve digital literacy among medical staff was 3.90±0.70.Significant differences in willingness were observed across different age groups and education levels(P<0.05).Behavioral attitudes,subjective norms,and perceived behavioral control all had significant positive effects on the willingness to improve.Subjective norms and the perceived behavioral control mediated the effect of hospital resource inputs on willingness to promote digital literacy.The study suggests that improving the digital literacy of healthcare professionals should consider both individual belief factors and external resource support,with particular attention to the needs of those with lower levels of educational attainment and younger groups.
关键词
数字素养/医务人员/影响因素/计划行为理论/结构方程模型Key words
digital literacy/medical personnel/influencing factors/theory of planned behavior/structural equation modeling引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据