• 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

评估移动应用程序“My A:Care”和“Smart Coach”对血脂异常患者降脂治疗依从性的影响:一项前瞻性、随机、开放标签的临床研究。

Evaluating the effect of mobile applications "My A:Care" and "Smart Coach" on adherence to lipid-lowering treatment in patients with dyslipidemia: a prospective, randomized, open-label clinical study.

作者信息

Pongchaiyakul Chatlert, Driessen Stefan

机构信息

Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

Established Pharmaceuticals Division, Global Biometrics, Abbott Healthcare Products B.V, Weesp, Netherlands.

出版信息

Front Digit Health. 2025 Jul 7;7:1502990. doi: 10.3389/fdgth.2025.1502990. eCollection 2025.

DOI:10.3389/fdgth.2025.1502990
PMID:40692655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12277276/
Abstract

BACKGROUND

Dyslipidemia, a key modifiable risk factor for cardiovascular diseases, is managed using lipid-lowering therapies. Medication adherence for dyslipidemia treatment is poor across the globe, impacting treatment effectiveness. This highlights the need for scalable strategies, such as mobile app-based behavioral interventions, to enhance adherence to lipid-lowering therapies.

OBJECTIVE

The study assesses the impact of "My A:Care" and "My A:Care Smart Coach" mobile interventions on adherence to dyslipidemia treatment.

METHODS

This proof-of-concept, open-label, single-center study randomized 150 patients with suboptimal adherence to dyslipidemia treatment into three groups (1:1:1): My A:Care, My A:Care Smart Coach (intervention), and a no-app control group. Participants were monitored over 12 weeks. The primary objective was to assess changes in medication adherence, with secondary outcomes including changes in lipid parameters and beliefs about lipid-lowering medications. The study also explored the association between adherence and app engagement.

RESULTS

At week 12, the Medication Adherence Report with Visual Analog Scale (MARS-5VA) Part 1 scores were modestly, but significantly lower in the control group compared to the intervention groups: Mean (SD); No-App: -0.3 (0.9), Smart Coach: 0.0 (0.7) [ = 0.035], My A:Care-All: 0.0 (0.7) [ = 0.056]. Compared to the control, the intervention groups also showed greater improvements in non-HDL-C levels [% change (SE): My A:Care-All: -5.5% (3.2), Smart Coach: -4.3% (3.7), No-App: -1.8% (3.7)], along with favorable trends in TC, LDL-C, and HDL-C.

CONCLUSION

This proof-of-concept study suggests that the My A:Care and Smart Coach apps may positively impact adherence to lipid-lowering therapy in patients with dyslipidemia. The positive adherence outcomes and potential benefits in lipid control indicate promising early signals that warrant further investigation in larger, confirmatory studies.

CLINICAL TRIAL REGISTRATION

NCT05370703.

摘要

背景

血脂异常是心血管疾病的一个关键可改变风险因素,可通过降脂治疗进行管理。全球范围内血脂异常治疗的药物依从性较差,影响了治疗效果。这凸显了需要可扩展的策略,如基于移动应用的行为干预措施,以提高降脂治疗的依从性。

目的

本研究评估“My A:Care”和“My A:Care Smart Coach”移动干预措施对血脂异常治疗依从性的影响。

方法

这项概念验证、开放标签、单中心研究将150例血脂异常治疗依从性欠佳的患者随机分为三组(1:1:1):My A:Care组、My A:Care Smart Coach组(干预组)和无应用程序对照组。对参与者进行了12周的监测。主要目标是评估药物依从性的变化,次要结局包括血脂参数的变化以及对降脂药物的认知。该研究还探讨了依从性与应用程序参与度之间的关联。

结果

在第12周时,与干预组相比,对照组的视觉模拟量表药物依从性报告(MARS - 5VA)第1部分得分虽有小幅但显著降低:均值(标准差);无应用程序组:-0.3(0.9),Smart Coach组:0.0(0.7)[P = 0.035],My A:Care - 全部组:0.0(0.7)[P = 0.056]。与对照组相比,干预组的非高密度脂蛋白胆固醇(non - HDL - C)水平也有更大改善[变化百分比(标准误):My A:Care - 全部组:-5.5%(3.2),Smart Coach组:-4.3%(3.7),无应用程序组:-1.8%(3.7)],总胆固醇(TC)、低密度脂蛋白胆固醇(LDL - C)和高密度脂蛋白胆固醇(HDL - C)也呈现出有利趋势。

结论

这项概念验证研究表明,My A:Care和Smart Coach应用程序可能对血脂异常患者的降脂治疗依从性产生积极影响。积极的依从性结果以及在血脂控制方面的潜在益处表明了有前景的早期信号,值得在更大规模的验证性研究中进一步调查。

临床试验注册

NCT05370703。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/f628bfe76eea/fdgth-07-1502990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/4e7914641361/fdgth-07-1502990-ga001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/d94404e368a0/fdgth-07-1502990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/367084f09bbe/fdgth-07-1502990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/0fb93e0076d7/fdgth-07-1502990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/da6a7fc8601c/fdgth-07-1502990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/92a743d1efbf/fdgth-07-1502990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/f628bfe76eea/fdgth-07-1502990-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/4e7914641361/fdgth-07-1502990-ga001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/d94404e368a0/fdgth-07-1502990-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/367084f09bbe/fdgth-07-1502990-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/0fb93e0076d7/fdgth-07-1502990-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/da6a7fc8601c/fdgth-07-1502990-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/92a743d1efbf/fdgth-07-1502990-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e703/12277276/f628bfe76eea/fdgth-07-1502990-g006.jpg

相似文献

1
Evaluating the effect of mobile applications "My A:Care" and "Smart Coach" on adherence to lipid-lowering treatment in patients with dyslipidemia: a prospective, randomized, open-label clinical study.评估移动应用程序“My A:Care”和“Smart Coach”对血脂异常患者降脂治疗依从性的影响:一项前瞻性、随机、开放标签的临床研究。
Front Digit Health. 2025 Jul 7;7:1502990. doi: 10.3389/fdgth.2025.1502990. eCollection 2025.
2
Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease.用于慢性阻塞性肺疾病自我管理的计算机和移动技术干预措施。
Cochrane Database Syst Rev. 2017 May 23;5(5):CD011425. doi: 10.1002/14651858.CD011425.pub2.
3
Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults.基于手机的干预措施,用于提高成年人心血管疾病一级预防中所开药物的依从性。
Cochrane Database Syst Rev. 2018 Jun 22;6(6):CD012675. doi: 10.1002/14651858.CD012675.pub2.
4
Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease.手机短信用于心血管疾病二级预防中的药物依从性。
Cochrane Database Syst Rev. 2024 Mar 27;3(3):CD011851. doi: 10.1002/14651858.CD011851.pub3.
5
Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease.手机短信促进心血管疾病二级预防中的药物依从性。
Cochrane Database Syst Rev. 2017 Apr 29;4(4):CD011851. doi: 10.1002/14651858.CD011851.pub2.
6
Multifaceted behavioral interventions to improve topical glaucoma therapy adherence in adults.多方面行为干预以提高成人局部青光眼治疗的依从性。
Cochrane Database Syst Rev. 2025 Jun 11;6(6):CD015788. doi: 10.1002/14651858.CD015788.pub2.
7
Nutritional interventions for survivors of childhood cancer.儿童癌症幸存者的营养干预措施。
Cochrane Database Syst Rev. 2016 Aug 22;2016(8):CD009678. doi: 10.1002/14651858.CD009678.pub2.
8
Interventions to increase adherence to medications for tobacco dependence.提高烟草依赖药物依从性的干预措施。
Cochrane Database Syst Rev. 2015 Feb 23(2):CD009164. doi: 10.1002/14651858.CD009164.pub2.
9
Digital interventions to improve adherence to maintenance medication in asthma.数字干预措施以提高哮喘维持药物治疗的依从性。
Cochrane Database Syst Rev. 2022 Jun 13;6(6):CD013030. doi: 10.1002/14651858.CD013030.pub2.
10
Smartphone and tablet self management apps for asthma.用于哮喘的智能手机和平板电脑自我管理应用程序。
Cochrane Database Syst Rev. 2013 Nov 27;2013(11):CD010013. doi: 10.1002/14651858.CD010013.pub2.

本文引用的文献

1
Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review.移动健康干预对心血管疾病患者药物依从性的有效性:一项系统评价。
Diseases. 2023 Mar 1;11(1):41. doi: 10.3390/diseases11010041.
2
Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.移动应用程序改善心血管疾病患者的药物依从性:系统评价和荟萃分析。
J Med Internet Res. 2021 May 25;23(5):e24190. doi: 10.2196/24190.
3
Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults.
基于手机的干预措施,用于提高成年人预防心血管疾病初级预防药物的依从性。
Cochrane Database Syst Rev. 2021 Mar 26;3(3):CD012675. doi: 10.1002/14651858.CD012675.pub3.
4
Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis.数字技术干预对心血管疾病患者危险因素修正的效果:系统评价和荟萃分析。
JMIR Mhealth Uhealth. 2021 Mar 3;9(3):e21061. doi: 10.2196/21061.
5
Repositioning of the global epicentre of non-optimal cholesterol.非最佳胆固醇的全球中心位置的重新定位。
Nature. 2020 Jun;582(7810):73-77. doi: 10.1038/s41586-020-2338-1. Epub 2020 Jun 3.
6
Utility of the MARS-5 in Assessing Medication Adherence in IBD.MARS-5 在评估 IBD 患者药物依从性中的作用。
Inflamm Bowel Dis. 2021 Feb 16;27(3):317-324. doi: 10.1093/ibd/izaa056.
7
The SPUR Model: A Framework for Considering Patient Behavior.SPUR模型:一种考量患者行为的框架。
Patient Prefer Adherence. 2020 Jan 16;14:97-105. doi: 10.2147/PPA.S237778. eCollection 2020.
8
The Medication Adherence Report Scale: A measurement tool for eliciting patients' reports of nonadherence.药物依从性报告量表:一种用于获取患者不依从报告的测量工具。
Br J Clin Pharmacol. 2020 Jul;86(7):1281-1288. doi: 10.1111/bcp.14193. Epub 2020 May 18.
9
2019 ESC/EAS guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk.2019年欧洲心脏病学会/欧洲动脉粥样硬化学会血脂异常管理指南:通过血脂修饰降低心血管风险
Atherosclerosis. 2019 Nov;290:140-205. doi: 10.1016/j.atherosclerosis.2019.08.014. Epub 2019 Aug 31.
10
Using a smartphone app in changing cardiovascular risk factors: A randomized controlled trial (EVIDENT II study).使用智能手机应用程序改变心血管危险因素:一项随机对照试验(EVIDENT II 研究)。
Int J Med Inform. 2019 May;125:13-21. doi: 10.1016/j.ijmedinf.2019.02.004. Epub 2019 Feb 12.