A quantitative evaluation of China's digital health policy based on PMC index model
10.3969/j.issn.1674-2982.2024.10.009
- VernacularTitle:基于PMC指数模型的我国数字健康政策量化评价
- Author:
Qian-Peng LYU
1
;
Zhi-Yong LIU
Author Information
1. 华中科技大学同济医学院医药卫生管理学院 湖北 武汉 430030
- Keywords:
Digital health;
Policy evaluation;
Text mining;
PMC index model
- From:
Chinese Journal of Health Policy
2024;17(10):59-67
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To quantitatively evaluate China's digital health policies since the new healthcare reform,and provide recommendations for future policy formulation and optimization.Methods:Employing ROSTCM6 software,we conducted text mining analysis on 130 national-level digital health policies.Based on the findings,we constructed a PMC Index Model evaluation system comprising 9 primary variables and 42 secondary variables.From these policies,20 representative texts were selected for in-depth quantitative analysis.Results:The average PMC score of the 20 policies analyzed was 5.47,indicating overall excellence.One policy achieved the perfect standard,12 were rated as excellent,and 7 fell within the acceptable range.Notably,no policies were classified as inadequate.Conclusion:While China's digital health policies demonstrate considerable success,there are opportunities for improvement.It is crucial to fortify the temporal effectiveness of policies and implement systems for continuously monitoring the dynamic shifts within the policy environment.Furthermore,clarifying the roles of various policy actors and establishing a diversified collaborative governance mechanism are essential to ensuring effective policy implementation.Increase economic incentives to promote digital technology innovation and focus on policy balance to promote the development of the digital health industry.
