Academic Journal
Digital Determinants of Health: Evaluating the Impact of Information and Communication Technology on Chinese Health Outcomes.
| Τίτλος: | Digital Determinants of Health: Evaluating the Impact of Information and Communication Technology on Chinese Health Outcomes. |
|---|---|
| Συγγραφείς: | Lu ZN; Department of Structural Heart Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Ren S; Department of Academic Journals, Shanghai University of International Business and Economics, Shanghai, China., Hao Y; School of Economics and Management, Tarim University, Aral, China.; School of Economics and Management, North University of China, Taiyuan, China.; School of Economics, Beijing Institute of Technology, Beijing, China., Yuan C; School of Government, Peking University, Beijing, China. |
| Πηγή: | The International journal of health planning and management [Int J Health Plann Manage] 2026 Jul; Vol. 41 (4), pp. 593-606. Date of Electronic Publication: 2026 Mar 31. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley Country of Publication: England NLM ID: 8605825 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1751 (Electronic) Linking ISSN: 07496753 NLM ISO Abbreviation: Int J Health Plann Manage Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Chichester, Sussex, England : Wiley, c1985- |
| Ιατρικοί όροι (MeSH): | Health Status* , Information Technology*, China ; Humans ; Female ; Male ; Digital Health ; Adult ; Middle Aged ; Surveys and Questionnaires |
| Περίληψη: | Background: The new generation of network information technology has become a significant tool to promote public health. The application of information and communication technology (ICT) in the traditional medical industry has changed the medical service model, improved the public medical service system, and provided diversified medical services to the public. Objective: This paper discusses the impact of ICT on residents' health, and analyzes the possible heterogeneity impact in different groups and its impact mechanism using the China Family Panel Studies (CFPS) data and a fixed-effects model. Methods: The ordinary least squares estimation method was adopted to quantitatively identify the impact mechanism of ICT applications on residents' health. Multisource big data were collected, including the CFPS questionnaire (gender, age, marriage status, work status, income level, smoking, sports, and insurance participation), regional economic development, as well as service industry development. The quantitative phase involved conducting in-depth investigation across 25 Chinese provinces. Then, a quantitative analyse-based study empirically tested the effects of internet applications on residents' health by matching macro data and micro survey data. After controlling for these identified factors, the data were tested using ordinary least squares and fixed effect models, with the assistance of STATA version 14 to measure and validate the proposed model. Results: The regression results support the conclusion that ICT can significantly improve residents' health (p < 0.001). After a series of robustness tests through replacing explanatory variables and choosing appropriate exogenous policy shocks, the results still hold. We analyse the possible heterogeneous effects and conclude that the health-promoting effect of ICT is stronger among middle-aged individuals, high-income groups, women, urban residents, unmarried individual, those who engage in sports and non-smokers. Conclusions: Our study confirms a significant association between ICT applications and residents' health and reveals substantial heterogeneity in this effect. It also provides insights into how to apply internet information to better realise disease surveillance and prevention goals. (© 2026 John Wiley & Sons Ltd.) |
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| Grant Information: | 72321002 National Natural Science Foundation of China; 2022WCXTD022 Guangdong Provincial Ordinary University Innovation Team Project; 2022CX01013 Technology Innovation Program of Beijing Institute of Technology; 2023CX13028 Technology Innovation Program of Beijing Institute of Technology |
| Contributed Indexing: | Keywords: China; ecological environment; information and communication technology; medical insurance participation; public health |
| Entry Date(s): | Date Created: 20260331 Date Completed: 20260707 Latest Revision: 20260707 |
| Update Code: | 20260707 |
| DOI: | 10.1002/hpm.70074 |
| PMID: | 41914406 |
| Βάση Δεδομένων: | MEDLINE |
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