• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

利用移动医疗为移动应用用户提供健康检查数据可视化和生活方式相关疾病教育视频：内容开发的方法学框架。

Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development.

机构信息

Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

出版信息

JMIR Mhealth Uhealth. 2020 Oct 21;8(10):e20982. doi: 10.2196/20982.

DOI:10.2196/20982
PMID:33084586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7641773/
Abstract

BACKGROUND

The number of people with lifestyle-related diseases continues to increase worldwide. Improving lifestyle behavior with health literacy may be the key to address lifestyle-related diseases. The delivery of educational videos using mobile health (mHealth) services can replace the conventional way of educating individuals, and visualization can replace the provision of health checkup data.

OBJECTIVE

This paper aimed to describe the development of educational content for MIRAMED, a mobile app aimed at improving users' lifestyle behaviors and health literacy for lifestyle-related diseases.

METHODS

All videos were based on a single unified framework to provide users with a consistent flow of information. The framework was later turned into a storyboard. The final video contents were created based on this storyboard and further discussions with leading experts and specialist physicians on effective communication with app users about lifestyle-related diseases.

RESULTS

The app uses visualization of personal health checkup data and educational videos on lifestyle-related diseases based on the current health guidelines, scientific evidence, and expert opinions of leading specialist physicians in the respective fields. A total of 8 videos were created for specific lifestyle-related diseases affecting 8 organs: (1) brain-cerebrovascular disorder, (2) eyes-diabetic retinopathy, (3) lungs-chronic obstructive pulmonary disease, (4) heart-ischemic heart disease, (5) liver-fatty liver, (6) kidneys-chronic kidney disease (diabetic kidney disease), (7) blood vessels-peripheral arterial disease, and (8) nerves-diabetic neuropathy.

CONCLUSIONS

Providing enhanced mHealth education using novel digital technologies to visualize conventional health checkup data and lifestyle-related diseases is an innovative strategy. Future studies to evaluate the efficacy of the developed content are planned.

摘要

背景

全球与生活方式相关的疾病患者人数不断增加。提高健康素养的生活方式行为可能是解决生活方式相关疾病的关键。使用移动健康（mHealth）服务提供教育视频可以替代传统的个体教育方式，而可视化可以替代健康检查数据的提供。

目的

本文旨在描述 MIRAMED 移动应用程序的教育内容的开发，该应用程序旨在改善用户与生活方式相关的疾病相关的生活方式行为和健康素养。

方法

所有视频均基于单一统一的框架，为用户提供一致的信息流。该框架后来被转化为故事板。最终的视频内容是基于这个故事板以及与领先的专家和专科医生就与生活方式相关的疾病与应用程序用户进行有效沟通进行的进一步讨论而创建的。

结果

该应用程序基于当前健康指南、科学证据以及各个领域领先专科医生的专家意见，使用个人健康检查数据的可视化和有关生活方式相关疾病的教育视频。总共为影响 8 个器官的特定生活方式相关疾病创建了 8 个视频：（1）脑-脑血管疾病，（2）眼睛-糖尿病视网膜病变，（3）肺-慢性阻塞性肺病，（4）心脏-缺血性心脏病，（5）肝脏-脂肪肝，（6）肾脏-慢性肾脏病（糖尿病肾病），（7）血管-外周动脉疾病，和（8）神经-糖尿病神经病变。

结论

使用新颖的数字技术提供增强的 mHealth 教育，以可视化传统的健康检查数据和生活方式相关疾病是一种创新策略。计划进行未来的研究以评估所开发内容的功效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/a638bc09bea3/mhealth_v8i10e20982_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/8a9b2edf9dc8/mhealth_v8i10e20982_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/faa21c8632cf/mhealth_v8i10e20982_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/a638bc09bea3/mhealth_v8i10e20982_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/8a9b2edf9dc8/mhealth_v8i10e20982_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/faa21c8632cf/mhealth_v8i10e20982_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3e3/7641773/a638bc09bea3/mhealth_v8i10e20982_fig3.jpg

相似文献

1
Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development.利用移动医疗为移动应用用户提供健康检查数据可视化和生活方式相关疾病教育视频：内容开发的方法学框架。
JMIR Mhealth Uhealth. 2020 Oct 21;8(10):e20982. doi: 10.2196/20982.
2
Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review.大流行早期推出的 COVID-19 移动健康应用程序：内容分析和综述。
JMIR Mhealth Uhealth. 2020 Sep 16;8(9):e19796. doi: 10.2196/19796.
3
eHealth Delivery of Educational Content Using Selected Visual Methods to Improve Health Literacy on Lifestyle-Related Diseases: Literature Review.利用选定的视觉方法进行电子健康教学内容传递，以提高与生活方式相关疾病的健康素养：文献综述。
JMIR Mhealth Uhealth. 2020 Dec 9;8(12):e18316. doi: 10.2196/18316.
4
Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study.移动医疗的使用、偏好、障碍和风湿病患者的电子健康素养：患者调查研究。
JMIR Mhealth Uhealth. 2020 Aug 12;8(8):e19661. doi: 10.2196/19661.
5
A user-centered model for designing consumer mobile health (mHealth) applications (apps).一种以用户为中心的消费者移动健康（mHealth）应用程序（app）设计模型。
J Biomed Inform. 2016 Apr;60:243-51. doi: 10.1016/j.jbi.2016.02.002. Epub 2016 Feb 20.
6
Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality.使用“预防连接”移动健康应用程序鼓励行为改变并预防心血管疾病：应用程序质量的概念与评估
J Med Internet Res. 2022 Jan 20;24(1):e25384. doi: 10.2196/25384.
7
The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study.移动医疗应用的持续使用：一项纵向研究的新发现。
JMIR Mhealth Uhealth. 2019 Aug 29;7(8):e12983. doi: 10.2196/12983.
8
Need for the Development of a Specific Regulatory Framework for Evaluation of Mobile Health Apps in Peru: Systematic Search on App Stores and Content Analysis.秘鲁需要制定专门的监管框架来评估移动健康应用程序：对应用商店的系统搜索和内容分析。
JMIR Mhealth Uhealth. 2020 Jul 10;8(7):e16753. doi: 10.2196/16753.
9
Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics.来自健康生活方式网站的移动应用用户都是谁？应用使用模式及用户特征分析。
Transl Behav Med. 2017 Dec;7(4):891-901. doi: 10.1007/s13142-017-0525-x.
10
Mobile Health App for Self-Learning on HIV Prevention Knowledge and Services Among a Young Indonesian Key Population: Cohort Study.移动健康应用程序在印度尼西亚青年关键人群中自我学习艾滋病预防知识和服务：队列研究。
JMIR Mhealth Uhealth. 2020 Sep 8;8(9):e17646. doi: 10.2196/17646.

引用本文的文献

1
The usefulness of an application-supported nutritional intervention on non-high-density lipoprotein cholesterol in people with a risk of lifestyle-related diseases.应用程序支持的营养干预对有生活方式相关疾病风险人群的非高密度脂蛋白胆固醇的作用。
PLOS Digit Health. 2024 Dec 6;3(12):e0000648. doi: 10.1371/journal.pdig.0000648. eCollection 2024 Dec.
2
mhealth-based interventions to improving liver cancer screening among high-risk populations: a study protocol for a randomized controlled trial.基于移动医疗的干预措施提高高危人群肝癌筛查率：一项随机对照试验的研究方案。
BMC Public Health. 2024 Sep 13;24(1):2501. doi: 10.1186/s12889-024-20025-7.
3

本文引用的文献

1
Lumos for the long trail: Strategies for clinical diagnosis and severity staging for diabetic polyneuropathy and future directions.导光索通往长径：糖尿病性多发性神经病的临床诊断和严重程度分期策略及未来方向。
J Diabetes Investig. 2020 Jan;11(1):5-16. doi: 10.1111/jdi.13173. Epub 2019 Dec 1.
2
Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention.移动却互联：通过移动健康干预利用自我效能和群体支持的力量实现减肥成功
J Health Commun. 2017 May;22(5):395-402. doi: 10.1080/10810730.2017.1296510. Epub 2017 Mar 24.
3
The Role of Self-Efficacy, Adaptive Coping, and Smoking Urges in Long-Term Cessation Outcomes.
Smartphone-Assisted Medical Care for Vestibular Dysfunction as a Telehealth Strategy for Digital Therapy Beyond COVID-19: Scoping Review.
智能手机辅助前庭功能障碍医疗护理作为超越 COVID-19 的数字治疗的远程医疗策略：范围综述。
JMIR Mhealth Uhealth. 2023 Sep 11;11:e48638. doi: 10.2196/48638.
4
A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning.一种用于慢性病的精准健康服务：使用可穿戴设备、机器学习和深度学习的开发和队列研究。
IEEE J Transl Eng Health Med. 2022 Sep 19;10:2700414. doi: 10.1109/JTEHM.2022.3207825. eCollection 2022.
5
A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis.一种基于技术介导的代谢综合征预防干预方法：系统评价和荟萃分析。
Int J Environ Res Public Health. 2021 Jan 10;18(2):512. doi: 10.3390/ijerph18020512.
自我效能、适应性应对和吸烟冲动在长期戒烟结果中的作用。
Addict Disord Their Treat. 2016 Dec;15(4):183-189. doi: 10.1097/ADT.0000000000000087.
4
Clinical Data Visualization: The Current State and Future Needs.临床数据可视化：现状与未来需求
J Med Syst. 2016 Dec;40(12):275. doi: 10.1007/s10916-016-0643-x. Epub 2016 Oct 27.
5
The effect of self-efficacy on behavior and weight in a behavioral weight-loss intervention.自我效能对行为减肥干预中行为及体重的影响。
Health Psychol. 2016 Jul;35(7):714-722. doi: 10.1037/hea0000378. Epub 2016 May 16.
6
Interactive Multimedia Tailored to Improve Diabetes Self-Management.为改善糖尿病自我管理而量身定制的交互式多媒体
Nurs Clin North Am. 2015 Sep;50(3):565-76. doi: 10.1016/j.cnur.2015.05.009.
7
The correlates of chronic disease-related health literacy and its components among men: a systematic review.男性中慢性病相关健康素养及其组成部分的相关因素：一项系统综述
BMC Public Health. 2015 Jun 26;15:589. doi: 10.1186/s12889-015-1900-5.
8
Diabetic autonomic neuropathy.糖尿病性自主神经病变
Handb Clin Neurol. 2014;126:63-79. doi: 10.1016/B978-0-444-53480-4.00006-0.
9
The pharmacological and surgical management of adults with obesity.肥胖成年人的药物和手术治疗
J Fam Pract. 2014 Jul;63(7 Suppl):S21-6.
10
Development and initial validation of a computer-administered health literacy assessment in Spanish and English: FLIGHT/VIDAS.西班牙语和英语计算机管理健康素养评估工具的开发与初步验证：FLIGHT/VIDAS
Patient Relat Outcome Meas. 2013 Aug 19;4:21-35. doi: 10.2147/PROM.S48384. eCollection 2013.