评估数字健康准备问卷日本版:来自日本心血管患者的见解。

IF 4.4 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
European heart journal. Digital health Pub Date : 2025-05-15 eCollection Date: 2025-07-01 DOI:10.1093/ehjdh/ztaf026
Sanami Ozaki, Toshiki Kaihara, Yoshihiro Akashi
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引用次数: 0

摘要

目的:2019冠状病毒病大流行提高了患者对自身健康的认识,并突出了远程护理的重要性。智能手机和可穿戴设备现在正成为管理心血管疾病的必需品。然而,心脏病患者的数字健康准备程度较低,对这些技术的有效利用构成了重大挑战。本研究使用数字健康准备问卷(DHRQ)评估日本心脏病患者的数字健康准备和学习能力,同时评估其信度和效度。方法和结果:本多中心观察性研究评估了圣玛丽安娜大学医院和川崎市多摩医院心血管危险因素患者的数字健康准备情况。采用DHRQ量表,进行验证性因子分析,对测量模型进行验证。共发放问卷210份,其中208份纳入分析。内部一致性,通过Cronbach's alpha测量,在所有因素中都超过0.7。模型拟合标准均方根残差= 0.038,近似均方根误差= 0.071,比较拟合指数= 0.962,Tucker-Lewis指数= 0.955。年龄、教育程度和智能手机/智能手表拥有量显著预测较高的DHRQ分数。年龄越大得分越低(P < 0.001),而高等教育、智能手机(P < 0.001)和智能手表拥有量(P = 0.006)与得分越高相关。性别和收入差异不显著。结论:DHRQ在日本被证明是有效的,教育程度显著影响得分。建议改进数字卫生准备,以加强患者对卫生信息的管理和与卫生保健提供者的沟通,并有望与未来的卫生保健系统联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing the digital health readiness questionnaire Japanese version: insights from cardiovascular patients in Japan.

Assessing the digital health readiness questionnaire Japanese version: insights from cardiovascular patients in Japan.

Aims: The COVID-19 pandemic has raised patient awareness of their health and highlighted the importance of remote care. Smartphones and wearable devices are now becoming essential for managing cardiovascular disease. However, low digital health readiness among cardiology patients poses a significant challenge to the effective use of these technologies. This study evaluates digital health readiness and learning ability of Japanese cardiology patients using the Digital Health Readiness Questionnaire (DHRQ), while also assessing its reliability and validity.

Methods and results: This multicentre observational study evaluated digital health readiness among patients with cardiovascular risk factors at St. Marianna University Hospital and Kawasaki Municipal Tama Hospital. The DHRQ was employed, and confirmatory factor analysis was conducted to validate the measurement model. A total of 210 questionnaires were distributed, with 208 included in the analysis. Internal consistency, measured by Cronbach's alpha, exceeded 0.7 across all factors. Model fit was evaluated with standardised root mean square residual = 0.038, root mean square error of approximation = 0.071, comparative fit index = 0.962, and Tucker-Lewis index = 0.955. Age, education, and smartphone/smartwatch ownership significantly predicted higher DHRQ scores. Older age correlated with lower scores (P < 0.001), while higher education, smartphone (P < 0.001), and smartwatch ownership (P = 0.006) correlated with higher scores. Gender and income were not significant.

Conclusion: The DHRQ proved to be valid in Japan, with education level significantly affecting scores. Improved digital health readiness is suggested to enhance patients' management of health information and communication with healthcare providers, and is expected to be linked to future healthcare systems.

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