• 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

远程血糖监测和计算机化胰岛素剂量调整算法对相当一部分少数族裔患者的有益效果,且与胰岛素剂量增加无关。

Beneficial Effect of Remote Glucose Monitoring and Computerized Insulin Dose Adjustment Algorithms Independent of Insulin Dose Increases in Sizeable Minorities of Patients.

作者信息

Davidson Mayer B, Davidson S Joshua, Duran Petra

机构信息

Charles R. Drew University, Los Angeles, CA.

Mellitus Health, Inc., Los Angeles, CA.

出版信息

Clin Diabetes. 2024 Summer;42(3):364-370. doi: 10.2337/cd23-0066. Epub 2023 Dec 27.

DOI:10.2337/cd23-0066
PMID:39015160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11247028/
Abstract

This article describes a program through which interactions every 2-3 weeks between patients and primary care clinicians (PCCs), with recommendations based on analysis of remote glucose monitoring by computerized insulin dose adjustment algorithms, significantly improved diabetes control. Insulin doses increased by 30% in the majority of patients. A sizeable minority (36%) had a decrease or no increase in insulin doses, but still showed an improvement in diabetes control. Frequent interactions allowed PCCs the opportunity to recognize and address medication nonadherence.

摘要

本文介绍了一个项目,通过该项目,患者与初级保健临床医生(PCC)每2至3周进行一次互动,并根据计算机化胰岛素剂量调整算法对远程血糖监测的分析给出建议,这显著改善了糖尿病的控制情况。大多数患者的胰岛素剂量增加了30%。相当一部分少数患者(36%)的胰岛素剂量减少或未增加,但糖尿病控制情况仍有所改善。频繁的互动使PCC有机会识别并解决药物治疗依从性问题。

相似文献

1
Beneficial Effect of Remote Glucose Monitoring and Computerized Insulin Dose Adjustment Algorithms Independent of Insulin Dose Increases in Sizeable Minorities of Patients.远程血糖监测和计算机化胰岛素剂量调整算法对相当一部分少数族裔患者的有益效果,且与胰岛素剂量增加无关。
Clin Diabetes. 2024 Summer;42(3):364-370. doi: 10.2337/cd23-0066. Epub 2023 Dec 27.
2
The Effective Use by Primary Care Clinicians of a Comprehensive Computerized Insulin Dose Adjustment Algorithm.基层医疗临床医生对综合计算机化胰岛素剂量调整算法的有效应用
J Diabetes Sci Technol. 2024 Dec 23:19322968241306127. doi: 10.1177/19322968241306127.
3
Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project.利用计算机化胰岛素剂量调整算法进行远程血糖监测的效果:一项试点项目。
Diabetes Ther. 2019 Apr;10(2):523-533. doi: 10.1007/s13300-019-0565-y. Epub 2019 Feb 5.
4
Computerized knowledge management in diabetes care.糖尿病护理中的计算机化知识管理。
Med Care. 2004 Jun;42(6):610-21. doi: 10.1097/01.mlr.0000128008.12117.f8.
5
Impact of errors in paper-based and computerized diabetes management with decision support for hospitalized patients with type 2 diabetes. A post-hoc analysis of a before and after study.基于纸质和计算机化的糖尿病管理中的错误对2型糖尿病住院患者决策支持的影响。一项前后研究的事后分析。
Int J Med Inform. 2016 Jun;90:58-67. doi: 10.1016/j.ijmedinf.2016.03.007. Epub 2016 Mar 23.
6
Real-world evidence for computerized insulin dose-adjustment algorithms in the effective use of continuous glucose monitoring by primary care clinicians.初级保健临床医生有效使用持续葡萄糖监测中计算机化胰岛素剂量调整算法的真实世界证据。
Diabetes Obes Metab. 2024 Aug;26(8):3475-3477. doi: 10.1111/dom.15679. Epub 2024 Jun 11.
7
Effective use of computerized insulin dose adjustment algorithms on continuous glucose monitoring results by a clinical pharmacist - Proof-of-concept.临床药师利用计算机化胰岛素剂量调整算法对连续血糖监测结果进行有效应用——概念验证。
J Diabetes. 2021 Jan 5. doi: 10.1111/1753-0407.13154.
8
"Symptom-based insulin adjustment for glucose normalization" (SIGN) algorithm: a pilot study.基于症状的胰岛素调整以实现血糖正常化(SIGN)算法:一项初步研究。
Diabetes Technol Ther. 2012 Dec;14(12):1145-8. doi: 10.1089/dia.2012.0140. Epub 2012 Oct 4.
9
An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial.一项基于信息通信技术的集中式临床试验,以确定基于智能手机个人健康记录应用程序的胰岛素剂量调整教育的有效性和安全性:一项随机对照试验。
BMC Med Inform Decis Mak. 2017 Jul 18;17(1):109. doi: 10.1186/s12911-017-0507-4.
10
Implications of remote monitoring Technology in Optimizing Traditional Self-Monitoring of blood glucose in adults with T2DM in primary care.远程监测技术对优化初级保健中 T2DM 成年患者传统自我血糖监测的意义。
BMC Endocr Disord. 2021 Nov 10;21(1):222. doi: 10.1186/s12902-021-00884-6.

引用本文的文献

1
The Effective Use by Primary Care Clinicians of a Comprehensive Computerized Insulin Dose Adjustment Algorithm.基层医疗临床医生对综合计算机化胰岛素剂量调整算法的有效应用
J Diabetes Sci Technol. 2024 Dec 23:19322968241306127. doi: 10.1177/19322968241306127.

本文引用的文献

1
Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes.利用真实世界数据改善糖尿病相关结局的预防和护理。
Diabetes Care. 2023 Jul 1;46(7):1316-1326. doi: 10.2337/dc22-1438.
2
Randomized Trials vs Real-world Evidence: How Can Both Inform Decision-making?随机试验与真实世界证据:二者如何为决策提供信息?
JAMA. 2023 Apr 25;329(16):1352-1353. doi: 10.1001/jama.2023.4855.
3
Trends and Disparities in Glycemic Control and Severe Hyperglycemia Among US Adults With Diabetes Using Insulin, 1988-2020.美国成人糖尿病患者使用胰岛素的血糖控制和严重高血糖趋势及差异,1988-2020 年。
JAMA Netw Open. 2022 Dec 1;5(12):e2247656. doi: 10.1001/jamanetworkopen.2022.47656.
4
Missed and Mistimed Insulin Doses in People with Diabetes: A Systematic Literature Review.糖尿病患者漏用和误用胰岛素:系统文献回顾。
Diabetes Technol Ther. 2021 Dec;23(12):844-856. doi: 10.1089/dia.2021.0164. Epub 2021 Oct 26.
5
Biochemical Urine Testing of Medication Adherence and Its Association With Clinical Markers in an Outpatient Population of Type 2 Diabetes Patients: Analysis in the DIAbetes and LifEstyle Cohort Twente (DIALECT).2 型糖尿病门诊患者药物依从性的生化尿液检测及其与临床标志物的关系:在糖尿病和生活方式队列特温特研究(DIALECT)中的分析。
Diabetes Care. 2021 Jun;44(6):1419-1425. doi: 10.2337/dc20-2533. Epub 2021 Apr 23.
6
Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial.通过联网血糖仪促进的2型糖尿病控制不佳患者糖尿病远程监测项目评估:随机交叉试验
JMIR Diabetes. 2021 Mar 11;6(1):e25574. doi: 10.2196/25574.
7
Effective use of computerized insulin dose adjustment algorithms on continuous glucose monitoring results by a clinical pharmacist - Proof-of-concept.临床药师利用计算机化胰岛素剂量调整算法对连续血糖监测结果进行有效应用——概念验证。
J Diabetes. 2021 Jan 5. doi: 10.1111/1753-0407.13154.
8
Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project.利用计算机化胰岛素剂量调整算法进行远程血糖监测的效果:一项试点项目。
Diabetes Ther. 2019 Apr;10(2):523-533. doi: 10.1007/s13300-019-0565-y. Epub 2019 Feb 5.
9
Understanding the Gap Between Efficacy in Randomized Controlled Trials and Effectiveness in Real-World Use of GLP-1 RA and DPP-4 Therapies in Patients With Type 2 Diabetes.理解 GLP-1RA 和 DPP-4 治疗药物在 2 型糖尿病患者中的随机对照试验疗效与真实世界应用效果之间的差距。
Diabetes Care. 2017 Nov;40(11):1469-1478. doi: 10.2337/dc16-2725. Epub 2017 Aug 11.
10
Association Between Adherence to Pharmacotherapy and Outcomes in Type 2 Diabetes: A Meta-analysis.药物治疗依从性与 2 型糖尿病结局的关系:一项荟萃分析。
Diabetes Care. 2017 Nov;40(11):1588-1596. doi: 10.2337/dc16-1925. Epub 2017 Aug 11.