Bibliometric analysis of research on digital health literacy
10.19428/j.cnki.sjpm.2024.23586
- VernacularTitle:数字健康素养研究的文献计量分析
- Author:
Chenye HAO
1
;
Jun PENG
1
;
Hui WAN
2
Author Information
1. Library & Information Center, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
2. Medical Management Office, Naval Medical University, Shanghai 200433, China
- Publication Type:Journal Article
- Keywords:
digital health;
health literacy;
bibliometrics;
research trend;
knowledge mapping
- From:
Shanghai Journal of Preventive Medicine
2024;36(6):611-618
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveFocusing on digital health literacy， this study elucidated the current research status， focal points， and developmental trends in this field over the past decade through bibliometric analysis and knowledge mapping of relevant papers. MethodsUtilizing software such as CiteSpace and VOSviewer， this study analyzed literature on digital health literacy from 2012 to 2022 retrieved from the Web of Science （WoS） database， employing bibliometric approaches such as keyword co-occurrence， timeline clustering， keyword burst detection， and author collaboration networks. ResultsThe research generally exhibited a continuing upward trend in publication volume； application fields were concentrated in disciplines such as mathematics and medicine； keywords include healthcare， intervention measures， health management， and technological applications. Research in digital health literacy （DHL） has evolved from an early focus on mobile health and behavior change to mid-term focus on health information and internet technology， and more recently to a greater focus on mental health and information technology applications， as well as the application of digital health and mobile technology in health behaviors， reflecting the field’s continuous development towards diversification. ConclusionResearch on digital health literacy is steadily growing and has received widespread recognition and attention from the academic community. With the development of mobile technologies and data science， the field of DHL is expected to make more in-depth research and application breakthroughs in education， scientific research， healthcare， public health， and social welfare.
