利用决策支持治疗胰岛素治疗患者的智能糖尿病远程监测(DiaTRUST)试验:随机对照试验研究方案。

IF 2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Trials Pub Date : 2024-11-08 DOI:10.1186/s13063-024-08588-7
Camilla H N Thomsen, Jannie T D Nørlev, Stine Hangaard, Morten H Jensen, Ole Hejlesen, Sarah R Cohen, Allan Kofoed-Enevoldsen, Sika N S Kristensen, Tinna B Aradóttir, Anne Kaas, Peter Vestergaard, Thomas Kronborg
{"title":"利用决策支持治疗胰岛素治疗患者的智能糖尿病远程监测(DiaTRUST)试验:随机对照试验研究方案。","authors":"Camilla H N Thomsen, Jannie T D Nørlev, Stine Hangaard, Morten H Jensen, Ole Hejlesen, Sarah R Cohen, Allan Kofoed-Enevoldsen, Sika N S Kristensen, Tinna B Aradóttir, Anne Kaas, Peter Vestergaard, Thomas Kronborg","doi":"10.1186/s13063-024-08588-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes affects 10.5% of adults globally, with type 2 diabetes accounting for 90-95% of cases. Achieving optimal glycemic control is crucial yet challenging, particularly with insulin therapy, where 30-50% of patients fail to meet treatment targets. Telemedicine can improve diabetes management but generates vast amounts of data, burdening healthcare professionals. Integrating clinical decision support tools into telemonitoring systems may enhance care efficiency and glycemic control.</p><p><strong>Methods: </strong>The trial is a multicenter 3-month, three-arm, open-label, randomized controlled trial. The trial aims to enroll 51 participants with type 2 diabetes on insulin therapy. Participants will be divided with a 3:1:1 ratio into telemonitoring with decision support, telemonitoring without decision support, and usual care groups. The study employs connected insulin pens, continuous glucose monitors (CGMs), and activity trackers to enable telemonitoring. Outcomes measured include CGM time in range, HbA1c, hypo- and hyperglycemia incidents, total daily insulin dose, body weight, treatment satisfaction, and adherence.</p><p><strong>Discussion: </strong>Telemonitoring with decision support has the potential to revolutionize diabetes management by offering personalized treatment suggestions, thereby reducing the burden on healthcare professionals, and improving patient outcomes. This study will provide valuable insights into the effectiveness of such an approach in achieving glycemic control in people with type 2 diabetes on insulin therapy. By evaluating both clinical outcomes and patient and healthcare professionals' satisfaction, the study aims to contribute to the development of efficient, scalable telehealth solutions for diabetes care.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT06185296. Registered on December 14, 2023.</p>","PeriodicalId":23333,"journal":{"name":"Trials","volume":"25 1","pages":"744"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11545892/pdf/","citationCount":"0","resultStr":"{\"title\":\"The intelligent diabetes telemonitoring using decision support to treat patients on insulin therapy (DiaTRUST) trial: study protocol for a randomized controlled trial.\",\"authors\":\"Camilla H N Thomsen, Jannie T D Nørlev, Stine Hangaard, Morten H Jensen, Ole Hejlesen, Sarah R Cohen, Allan Kofoed-Enevoldsen, Sika N S Kristensen, Tinna B Aradóttir, Anne Kaas, Peter Vestergaard, Thomas Kronborg\",\"doi\":\"10.1186/s13063-024-08588-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Diabetes affects 10.5% of adults globally, with type 2 diabetes accounting for 90-95% of cases. Achieving optimal glycemic control is crucial yet challenging, particularly with insulin therapy, where 30-50% of patients fail to meet treatment targets. Telemedicine can improve diabetes management but generates vast amounts of data, burdening healthcare professionals. Integrating clinical decision support tools into telemonitoring systems may enhance care efficiency and glycemic control.</p><p><strong>Methods: </strong>The trial is a multicenter 3-month, three-arm, open-label, randomized controlled trial. The trial aims to enroll 51 participants with type 2 diabetes on insulin therapy. Participants will be divided with a 3:1:1 ratio into telemonitoring with decision support, telemonitoring without decision support, and usual care groups. The study employs connected insulin pens, continuous glucose monitors (CGMs), and activity trackers to enable telemonitoring. Outcomes measured include CGM time in range, HbA1c, hypo- and hyperglycemia incidents, total daily insulin dose, body weight, treatment satisfaction, and adherence.</p><p><strong>Discussion: </strong>Telemonitoring with decision support has the potential to revolutionize diabetes management by offering personalized treatment suggestions, thereby reducing the burden on healthcare professionals, and improving patient outcomes. This study will provide valuable insights into the effectiveness of such an approach in achieving glycemic control in people with type 2 diabetes on insulin therapy. By evaluating both clinical outcomes and patient and healthcare professionals' satisfaction, the study aims to contribute to the development of efficient, scalable telehealth solutions for diabetes care.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT06185296. Registered on December 14, 2023.</p>\",\"PeriodicalId\":23333,\"journal\":{\"name\":\"Trials\",\"volume\":\"25 1\",\"pages\":\"744\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11545892/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13063-024-08588-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13063-024-08588-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:全球有 10.5% 的成年人患有糖尿病,其中 90-95% 的病例为 2 型糖尿病。实现最佳血糖控制至关重要,但也极具挑战性,尤其是胰岛素治疗,30%-50% 的患者无法达到治疗目标。远程医疗可以改善糖尿病管理,但会产生大量数据,加重医护人员的负担。将临床决策支持工具整合到远程监控系统中可提高护理效率和血糖控制水平:该试验是一项为期 3 个月、三臂、开放标签、随机对照的多中心试验。试验旨在招募 51 名接受胰岛素治疗的 2 型糖尿病患者。参与者将按 3:1:1 的比例被分为有决策支持的远程监控组、无决策支持的远程监控组和常规护理组。研究采用连接的胰岛素笔、连续血糖监测仪(CGM)和活动追踪器来实现远程监控。测量的结果包括 CGM 处于范围内的时间、HbA1c、低血糖和高血糖事件、每日胰岛素总剂量、体重、治疗满意度和依从性:具有决策支持功能的远程监测可提供个性化治疗建议,从而减轻医护人员的负担,改善患者的治疗效果,有望彻底改变糖尿病管理模式。这项研究将为了解这种方法在实现胰岛素治疗的 2 型糖尿病患者血糖控制方面的有效性提供宝贵的见解。通过评估临床疗效以及患者和医护人员的满意度,该研究旨在为开发高效、可扩展的远程医疗解决方案做出贡献:试验注册:ClinicalTrials.gov NCT06185296。注册日期:2023 年 12 月 14 日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The intelligent diabetes telemonitoring using decision support to treat patients on insulin therapy (DiaTRUST) trial: study protocol for a randomized controlled trial.

Background: Diabetes affects 10.5% of adults globally, with type 2 diabetes accounting for 90-95% of cases. Achieving optimal glycemic control is crucial yet challenging, particularly with insulin therapy, where 30-50% of patients fail to meet treatment targets. Telemedicine can improve diabetes management but generates vast amounts of data, burdening healthcare professionals. Integrating clinical decision support tools into telemonitoring systems may enhance care efficiency and glycemic control.

Methods: The trial is a multicenter 3-month, three-arm, open-label, randomized controlled trial. The trial aims to enroll 51 participants with type 2 diabetes on insulin therapy. Participants will be divided with a 3:1:1 ratio into telemonitoring with decision support, telemonitoring without decision support, and usual care groups. The study employs connected insulin pens, continuous glucose monitors (CGMs), and activity trackers to enable telemonitoring. Outcomes measured include CGM time in range, HbA1c, hypo- and hyperglycemia incidents, total daily insulin dose, body weight, treatment satisfaction, and adherence.

Discussion: Telemonitoring with decision support has the potential to revolutionize diabetes management by offering personalized treatment suggestions, thereby reducing the burden on healthcare professionals, and improving patient outcomes. This study will provide valuable insights into the effectiveness of such an approach in achieving glycemic control in people with type 2 diabetes on insulin therapy. By evaluating both clinical outcomes and patient and healthcare professionals' satisfaction, the study aims to contribute to the development of efficient, scalable telehealth solutions for diabetes care.

Trial registration: ClinicalTrials.gov NCT06185296. Registered on December 14, 2023.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Trials
Trials 医学-医学:研究与实验
CiteScore
3.80
自引率
4.00%
发文量
966
审稿时长
6 months
期刊介绍: Trials is an open access, peer-reviewed, online journal that will encompass all aspects of the performance and findings of randomized controlled trials. Trials will experiment with, and then refine, innovative approaches to improving communication about trials. We are keen to move beyond publishing traditional trial results articles (although these will be included). We believe this represents an exciting opportunity to advance the science and reporting of trials. Prior to 2006, Trials was published as Current Controlled Trials in Cardiovascular Medicine (CCTCVM). All published CCTCVM articles are available via the Trials website and citations to CCTCVM article URLs will continue to be supported.
期刊最新文献
Comparison of two doses of vitamin D3 in critically ill patients undergoing continuous renal replacement therapy (NephroD): study protocol for a single-blinded, multicenter, parallel group randomized controlled trial. Behavioral risk assessment of work-related musculoskeletal disorders among workers of petrochemical industries: protocol of a mixed method study. Effect of a patient health engagement (PHE) model on rehabilitation participation in patients with acute myocardial infarction after PCI: a study protocol for a randomized controlled trial. Evaluating effects of meal delivery on the ability of homebound older adults to remain in the community via a pragmatic, two-arm, randomized comparative effectiveness trial: study protocol for the Deliver-EE trial. Deprescribing anticholinergics to preserve brain health: reducing the risk of dementia through deprescribing (R2D2): study protocol for a randomized clinical trial.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1