数字健康素养对2型糖尿病合并高血压患者血压和血红蛋白A1c的影响

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Donghwan Lee, Susan G Silva, Qing Yang, Matthew J Crowley, Daniel Hatch, Gina Pennington, Doreen Matters, Diana Urlichich, Ryan J Shaw
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引用次数: 0

摘要

数字健康素养正在成为慢性病管理的一个重要因素,但其与临床结果的关系尚不清楚。利用正在进行的扩展技术支持、护士提供的慢性疾病护理试验的数据,这项横断面相关性研究探讨了数字健康素养、健康素养和患者预后之间的关系,特别是76名合并2型糖尿病和高血压的患者的血压和血红蛋白A1c水平。结果显示,患者具有中等程度的数字健康素养,与健康素养无显著相关(r = 0.16, P = 0.169)。双变量和协变量调整的回归模型均表明,数字健康素养与患者预后无显著相关(均P < 0.05,影响较小)。这些发现表明,尽管来自不同社会人口背景的患者可能具备数字健康素养,能够使用数字健康工具,但仅凭这一点可能无法改善临床结果。尽管数字健康素养可能与改善临床结果没有直接关系,但未来的研究应探索如何优化数字健康工具,以提高患者参与度,并解决不同人群管理慢性病的复杂挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Digital Health Literacy on Blood Pressure and Hemoglobin A1c in Patients With Comorbid Type 2 Diabetes and Hypertension.

Digital health literacy is emerging as an important element in chronic illness management, yet its relationship with clinical outcomes remains unclear. Utilizing data from the ongoing EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care trial, this cross-sectional, correlational study explored the association between digital health literacy, health literacy, and patient outcomes, specifically blood pressure and hemoglobin A1c levels in 76 patients managing comorbid type 2 diabetes and hypertension. Results indicate patients had moderate digital health literacy, which was not significantly correlated with health literacy (r = 0.16, P = .169). Both bivariate and covariate-adjusted regression models indicated that digital health literacy was not significantly associated with patient outcomes (all P > .05, small effects). These findings suggest that although patients from diverse sociodemographic backgrounds may possess the digital health literacy to engage with digital health tools, this alone may not improve clinical outcomes. Although digital health literacy may not be directly related to improved clinical outcomes, future research should explore how digital health tools can be optimized to enhance patient engagement and address complex challenges in diverse populations managing chronic conditions.

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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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