糖尿病的mHealth中的科学生产动态:科学测量分析
Pedro Fernando Castillo-Valdez1, Marisela Rodriguez-Salvador1, Yuh-Shan Ho2
1Tecnologico de Monterrey, Monterrey, Mexico.
JMIR diabetes
|August 22, 2024
概括
这项研究分析了1998-2021年糖尿病研究的移动健康 (mHealth). 美国在出版物方面处于领先地位,突出这一不断增长的领域的关键趋势和有影响力的作品.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 慢性疾病管理 慢性疾病管理
背景情况:
- 移动健康 (mHealth) 显著有助于慢性疾病管理,特别是糖尿病.
- 移动健康提供了一种具有成本效益的解决方案,可以克服糖尿病护理中的地理和时间障碍.
研究的目的:
- 为糖尿病研究绘制mHealth的科学格局.
- 确定主要的作者,国家,机构,期刊和有影响力的出版物.
主要方法:
- 对1998年至2021年间发表的1574篇文章进行了科学度分析.
- 数据来源于科学引用指数扩展数据库.
- 关键指标包括出版物产出,引用和作者/机构生产力.
主要成果:
- 美国成为最富有生产力的国家,顶级机构也在美国.
- 研究涉及来自90个国家的7922名作者,发表在491个期刊上.
- 高度引用和有影响力的文章主要是在2009年至2017年之间发表的.
结论:
- 该研究提供了mHealth对糖尿病研究生产力的全面概述.
- 确定研发,合作,专业化和劳动力发展的机会.
- 调查结果支持政策规划,资源分配和战略决策,以促进糖尿病科学的发展.
相关概念视频
01:29Issues And Trends In Healthcare Delivery System
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods: