• 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

基于智能健康促进系统和微信的高血压患者健康行为数字干预的开发:随机对照试验。

Development of a Health Behavioral Digital Intervention for Patients With Hypertension Based on an Intelligent Health Promotion System and WeChat: Randomized Controlled Trial.

机构信息

Graduate School, University of Science and Technology of China, Hefei, China.

Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.

出版信息

JMIR Mhealth Uhealth. 2024 Apr 5;12:e53006. doi: 10.2196/53006.

DOI:10.2196/53006
PMID:38578692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11031705/
Abstract

BACKGROUND

The effectiveness of timely medication, physical activity (PA), a healthy diet, and blood pressure (BP) monitoring for promoting health outcomes and behavioral changes among patients with hypertension is supported by a substantial amount of literature, with "adherence" playing a pivotal role. Nevertheless, there is a lack of consistent evidence regarding whether digital interventions can improve adherence to healthy behaviors among individuals with hypertension.

OBJECTIVE

The aim was to develop a health behavioral digital intervention for hypertensive patients (HBDIHP) based on an intelligent health promotion system and WeChat following the behavior change wheel (BCW) theory and digital micro-intervention care (DMIC) model and assess its efficacy in controlling BP and improving healthy behavior adherence.

METHODS

A 2-arm, randomized trial design was used. We randomly assigned 68 individuals aged >60 years with hypertension in a 1:1 ratio to either the control or experimental group. The digital intervention was established through the following steps: (1) developing digital health education materials focused on adherence to exercise prescriptions, Dietary Approaches to Stop Hypertension (DASH), prescribed medication, and monitoring of BP; (2) using the BCW theory to select behavior change techniques; (3) constructing the intervention's logic following the guidelines of the DMIC model; (4) creating an intervention manual including the aforementioned elements. Prior to the experiment, participants underwent physical examinations at the community health service center's intelligent health cabin and received intelligent personalized health recommendations. The experimental group underwent a 12-week behavior intervention via WeChat, while the control group received routine health education and a self-management manual. The primary outcomes included BP and adherence indicators. Data analysis was performed using SPSS, with independent sample t tests, chi-square tests, paired t tests, and McNemar tests. A P value <.05 was considered statistically significant.

RESULTS

The final analysis included 54 participants with a mean age of 67.24 (SD 4.19) years (n=23 experimental group, n=31 control group). The experimental group had improvements in systolic BP (-7.36 mm Hg, P=.002), exercise time (856.35 metabolic equivalent [MET]-min/week, P<.001), medication adherence (0.56, P=.001), BP monitoring frequency (P=.02), and learning performance (3.23, P<.001). Both groups experienced weight reduction (experimental: 1.2 kg, P=.002; control: 1.11 kg, P=.009) after the intervention. The diet types and quantities for both groups (P<.001) as well as the subendocardial viability ratio (0.16, P=.01) showed significant improvement. However, there were no statistically significant changes in other health outcomes.

CONCLUSIONS

The observations suggest our program may have enhanced specific health outcomes and adherence to health behaviors in older adults with hypertension. However, a longer-term, larger-scale trial is necessary to validate the effectiveness.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2200062643; https://www.chictr.org.cn/showprojEN.html?proj=172782.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/46883.

摘要

背景

大量文献支持及时用药、身体活动(PA)、健康饮食和血压(BP)监测对促进高血压患者健康结果和行为改变的有效性,“依从性”起着关键作用。然而,关于数字干预是否能改善高血压患者的健康行为依从性,缺乏一致的证据。

目的

旨在基于智能健康促进系统和微信,根据行为变化轮(BCW)理论和数字微干预护理(DMIC)模型,为高血压患者制定健康行为数字干预(HBDIHP),评估其控制血压和提高健康行为依从性的效果。

方法

采用 2 臂随机试验设计。我们将 68 名年龄大于 60 岁的高血压患者随机分为 1:1 比例的对照组和实验组。数字干预是通过以下步骤建立的:(1)制定以运动处方、DASH 饮食、规定药物和 BP 监测依从性为重点的数字健康教育材料;(2)使用 BCW 理论选择行为改变技术;(3)根据 DMIC 模型的指南构建干预的逻辑;(4)创建包括上述内容的干预手册。在实验前,参与者在社区卫生服务中心的智能健康舱进行体检,并获得智能个性化健康建议。实验组通过微信进行为期 12 周的行为干预,而对照组接受常规健康教育和自我管理手册。主要结局包括血压和依从性指标。使用 SPSS 进行数据分析,采用独立样本 t 检验、卡方检验、配对 t 检验和 McNemar 检验。P 值<.05 被认为具有统计学意义。

结果

最终分析包括 54 名参与者,平均年龄 67.24(SD 4.19)岁(n=23 实验组,n=31 对照组)。实验组收缩压改善(-7.36mmHg,P=.002)、运动时间(856.35 代谢当量-min/周,P<.001)、药物依从性(0.56,P=.001)、BP 监测频率(P=.02)和学习表现(3.23,P<.001)。两组干预后体重均减轻(实验组:1.2kg,P=.002;对照组:1.11kg,P=.009)。两组的饮食类型和数量(P<.001)以及心内膜下活力比(0.16,P=.01)均有显著改善。然而,其他健康结果没有统计学上的显著变化。

结论

研究结果表明,我们的方案可能改善了老年高血压患者的特定健康结果和健康行为依从性。然而,需要进行更长时间、更大规模的试验来验证其有效性。

试验注册

中国临床试验注册中心 ChiCTR2200062643;https://www.chictr.org.cn/showprojEN.html?proj=172782。

国际注册报告标识符(IRRID):RR2-10.2196/46883。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/2b34422eeddf/mhealth_v12i1e53006_fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/e7576dd9013c/mhealth_v12i1e53006_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/8ac9e89fe1d2/mhealth_v12i1e53006_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/1a1edb0c0d4f/mhealth_v12i1e53006_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/81e3227ca2a7/mhealth_v12i1e53006_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/e2d05413ac35/mhealth_v12i1e53006_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/a5d7f441510a/mhealth_v12i1e53006_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/3e38342df683/mhealth_v12i1e53006_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/73961ad0c047/mhealth_v12i1e53006_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/abb8f4841bbf/mhealth_v12i1e53006_fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/2b34422eeddf/mhealth_v12i1e53006_fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/e7576dd9013c/mhealth_v12i1e53006_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/8ac9e89fe1d2/mhealth_v12i1e53006_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/1a1edb0c0d4f/mhealth_v12i1e53006_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/81e3227ca2a7/mhealth_v12i1e53006_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/e2d05413ac35/mhealth_v12i1e53006_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/a5d7f441510a/mhealth_v12i1e53006_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/3e38342df683/mhealth_v12i1e53006_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/73961ad0c047/mhealth_v12i1e53006_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/abb8f4841bbf/mhealth_v12i1e53006_fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5073/11031705/2b34422eeddf/mhealth_v12i1e53006_fig10.jpg

相似文献

1
Development of a Health Behavioral Digital Intervention for Patients With Hypertension Based on an Intelligent Health Promotion System and WeChat: Randomized Controlled Trial.基于智能健康促进系统和微信的高血压患者健康行为数字干预的开发:随机对照试验。
JMIR Mhealth Uhealth. 2024 Apr 5;12:e53006. doi: 10.2196/53006.
2
Evaluating a WeChat-Based Health Behavioral Digital Intervention for Patients With Hypertension: Protocol for a Randomized Controlled Trial.评估基于微信的高血压患者健康行为数字干预措施:一项随机对照试验方案
JMIR Res Protoc. 2023 Sep 12;12:e46883. doi: 10.2196/46883.
3
Efficacy of an mHealth App to Support Patients' Self-Management of Hypertension: Randomized Controlled Trial.移动医疗应用支持高血压患者自我管理的疗效:随机对照试验。
J Med Internet Res. 2023 Dec 19;25:e43809. doi: 10.2196/43809.
4
Efficacy of a WeChat-Based Multimodal Digital Transformation Management Model in New-Onset Mild to Moderate Hypertension: Randomized Clinical Trial.基于微信的多模态数字化转型管理模式对新发轻中度高血压的疗效:随机临床试验。
J Med Internet Res. 2023 Dec 4;25:e52464. doi: 10.2196/52464.
5
The Effect of an mHealth Self-Monitoring Intervention (MI-BP) on Blood Pressure Among Black Individuals With Uncontrolled Hypertension: Randomized Controlled Trial.mHealth 自我监测干预 (MI-BP) 对血压控制不佳的黑人个体血压的影响:随机对照试验。
JMIR Mhealth Uhealth. 2024 Jun 28;12:e57863. doi: 10.2196/57863.
6
7
The Effect of a Digital Behavioral Weight Loss Intervention on Adherence to the Dietary Approaches to Stop Hypertension (DASH) Dietary Pattern in Medically Vulnerable Primary Care Patients: Results from a Randomized Controlled Trial.数字化行为体重管理干预对医学脆弱的初级保健患者遵守高血压膳食防治计划(DASH)饮食模式的影响:一项随机对照试验的结果。
J Acad Nutr Diet. 2019 Apr;119(4):574-584. doi: 10.1016/j.jand.2018.12.011.
8
Effect of a Coordinated Community and Chronic Care Model Team Intervention vs Usual Care on Systolic Blood Pressure in Patients With Stroke or Transient Ischemic Attack: The SUCCEED Randomized Clinical Trial.社区与慢性病护理模式协同团队干预与常规护理对中风或短暂性脑缺血发作患者收缩压的影响:SUCCEED随机临床试验
JAMA Netw Open. 2021 Feb 1;4(2):e2036227. doi: 10.1001/jamanetworkopen.2020.36227.
9
Awareness Development and Usage of Mobile Health Technology Among Individuals With Hypertension in a Rural Community of Bangladesh: Randomized Controlled Trial.孟加拉国农村社区高血压患者对移动医疗技术的认知发展和使用情况:随机对照试验。
J Med Internet Res. 2020 Dec 7;22(12):e19137. doi: 10.2196/19137.
10
Efficacy of Text Messaging and Personal Consultation by Pharmacy Students Among Adults With Hypertension: Randomized Controlled Trial.药学专业学生通过短信和个人咨询对高血压成人患者的疗效:随机对照试验
J Med Internet Res. 2020 May 20;22(5):e16019. doi: 10.2196/16019.

引用本文的文献

1
Key contents of health education and their impact on improving medication adherence among hypertensive patients: A systematic review and meta-analysis.健康教育的关键内容及其对提高高血压患者用药依从性的影响:一项系统评价与荟萃分析
Narra J. 2025 Aug;5(2):e2080. doi: 10.52225/narra.v5i2.2080. Epub 2025 Mar 21.
2
Digital-Based Nutrition Interventions Employing the Dietary Approaches to Stop Hypertension (DASH) Diet: A Systematic Scoping Review.采用终止高血压膳食疗法(DASH饮食)的数字营养干预措施:一项系统综述
Int J Hypertens. 2025 Aug 30;2025:6175223. doi: 10.1155/ijhy/6175223. eCollection 2025.
3
Systematic review and meta analysis of standalone digital behavior change interventions on physical activity.

本文引用的文献

1
Report on Cardiovascular Health and Diseases in China 2022: an Updated Summary.《中国心血管健康与疾病报告 2022 概要》发布。
Biomed Environ Sci. 2023 Aug 20;36(8):669-701. doi: 10.3967/bes2023.106.
2
Evaluating a WeChat-Based Health Behavioral Digital Intervention for Patients With Hypertension: Protocol for a Randomized Controlled Trial.评估基于微信的高血压患者健康行为数字干预措施:一项随机对照试验方案
JMIR Res Protoc. 2023 Sep 12;12:e46883. doi: 10.2196/46883.
3
Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis.
独立数字行为改变干预对身体活动影响的系统评价与荟萃分析
NPJ Digit Med. 2025 Jul 14;8(1):436. doi: 10.1038/s41746-025-01827-4.
4
Effects of a health education intervention based on the behavior change wheel on fear of hypoglycemia behavior in type 2 diabetes mellitus patients: a randomized controlled pilot trial.基于行为改变轮的健康教育干预对2型糖尿病患者低血糖恐惧行为的影响:一项随机对照试验
Acta Diabetol. 2025 Jun 23. doi: 10.1007/s00592-025-02549-5.
5
Efficacy and cost-effectiveness of digital health interventions in improving hypertensive outcomes among patients with uncontrolled hypertension: A systematic review.数字健康干预措施在改善血压控制不佳患者高血压治疗效果方面的有效性和成本效益:一项系统评价
Int J Nurs Sci. 2025 Apr 12;12(3):225-232. doi: 10.1016/j.ijnss.2025.04.001. eCollection 2025 May.
6
Impact of a mobile health intervention on health management among children with phenylketonuria based on a multi-theory model of the behavior change wheel theory and family health theory: protocol for a randomized controlled trial.基于行为改变轮理论和家庭健康理论的多理论模型的移动健康干预对苯丙酮尿症患儿健康管理的影响:一项随机对照试验方案
Front Psychiatry. 2025 May 27;16:1583804. doi: 10.3389/fpsyt.2025.1583804. eCollection 2025.
7
Effectiveness of nursing intervention session on health locus of control and self efficacy for women with preeclampsia.护理干预对先兆子痫妇女健康控制点和自我效能感的效果
BMC Pregnancy Childbirth. 2025 Apr 23;25(1):468. doi: 10.1186/s12884-025-07447-w.
8
The development and application of the mobile frailty management platform for Chinese community-dwelling older adults.针对中国社区居住老年人的移动衰弱管理平台的开发与应用。
Int J Nurs Sci. 2025 Feb 14;12(2):115-122. doi: 10.1016/j.ijnss.2025.02.005. eCollection 2025 Mar.
评估移动医疗干预措施在非洲糖尿病和高血压管理中的有效性:系统评价和荟萃分析。
JMIR Mhealth Uhealth. 2023 Aug 29;11:e43742. doi: 10.2196/43742.
4
Exercise training and resting blood pressure: a large-scale pairwise and network meta-analysis of randomised controlled trials.运动训练与静息血压:一项基于随机对照试验的大规模成对和网络荟萃分析。
Br J Sports Med. 2023 Oct;57(20):1317-1326. doi: 10.1136/bjsports-2022-106503. Epub 2023 Jul 25.
5
Long-Term Results of a Digital Hypertension Self-Management Program: Retrospective Cohort Study.数字高血压自我管理项目的长期结果:回顾性队列研究
JMIR Cardio. 2023 Aug 24;7:e43489. doi: 10.2196/43489.
6
Effectiveness of mHealth interventions for improving hypertension control in uncontrolled hypertensive patients: A meta-analysis of randomized controlled trials.移动医疗干预措施在改善未控制的高血压患者的高血压控制方面的有效性:一项随机对照试验的荟萃分析。
J Clin Hypertens (Greenwich). 2023 Jul;25(7):591-600. doi: 10.1111/jch.14690. Epub 2023 Jul 6.
7
Impact of mHealth Interventions on Supporting Dietary Adherence in Cardiovascular Disease: A Systematic Review.移动医疗干预对支持心血管疾病患者饮食依从性的影响:系统评价。
J Nutr Educ Behav. 2023 Jun;55(6):419-436. doi: 10.1016/j.jneb.2023.03.004. Epub 2023 Apr 25.
8
The Adoption and Acceptance of mHealth Interventions for Self-Management of Hypertension Among Adult Patients: A Systematic Review.成人患者高血压自我管理中移动健康干预措施的采用与接受情况:一项系统评价
Cureus. 2022 Nov 16;14(11):e31584. doi: 10.7759/cureus.31584. eCollection 2022 Nov.
9
The Use of Dietary Approaches to Stop Hypertension (DASH) Mobile Apps for Supporting a Healthy Diet and Controlling Hypertension in Adults: Systematic Review.使用饮食方法预防高血压(DASH)移动应用程序支持成人健康饮食和控制高血压:系统评价
JMIR Cardio. 2022 Nov 2;6(2):e35876. doi: 10.2196/35876.
10
Nursing interventions to promote patient engagement in cancer care: A systematic review.护理干预促进癌症患者参与治疗:系统评价。
Int J Nurs Stud. 2022 Sep;133:104289. doi: 10.1016/j.ijnurstu.2022.104289. Epub 2022 May 27.