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Boon Peng Ng1,2,3, Jacqueline B LaManna1, Michael T Hsieh3
1College of Nursing, University of Central Florida, Orlando, Florida.
The science of diabetes self-management and care
|December 26, 2025
概括
许多患有糖尿病的65岁或以上的医疗保险受益人缺乏虚拟糖尿病自我管理培训 (DSMT) 的数字访问. 种族,教育和收入等社会人口统计因素对这一群体的数字资源可用性产生了重大影响.
科学领域:
- 公共卫生 公共卫生
- 健康差异 在健康上的差异
- 数字健康数字健康
背景情况:
- 数字健康干预措施,包括虚拟糖尿病自我管理培训 (DSMT),为管理慢性疾病提供了有希望的途径.
- 然而,数字资源获取方面的差异可能会限制这些干预措施在弱势群体中的影响力和有效性.
研究的目的:
- 调查65岁及以上糖尿病的医疗保险受益者中社会人口统计特征与访问数字资源之间的关联.
- 为了确定特定的子组在缺乏必要的数字工具虚拟DSMT更高的风险.
主要方法:
- 对2022年医疗保险当前受益者调查数据的分析.
- 创建一个分类数字访问的三级变量:完全访问 (计算机/互联网),部分访问 (计算机或互联网) 或没有访问.
- 应用调查加权的多项逻辑模型来评估社会人口统计和数字访问水平之间的关联.
主要成果:
- 大约三分之一的符合条件的受益者缺乏足够的数字资源来实现虚拟DSMT.
- 与非西班牙裔白人受益人相比,西班牙裔,非西班牙裔黑人和其他少数群体受益人获得完全数字化访问的几率较低.
- 较低的教育程度和收入显著与对计算机/互联网和部分数字资源的访问减少有关.
结论:
- 相当一部分符合虚拟DSMT资格的医疗保险受益人面临数字沟,这阻碍了他们参与的能力.
- 有针对性的干预措施至关重要,以解决这些差异,并确保面临风险的人群平等获得数字健康资源.
- 推动虚拟DSMT的努力必须考虑并减轻数字沟带来的障碍.
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