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}
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.
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.