Clinical Evaluation of Decision Support System for Insulin-Dose Adjustment in IDDM

Author:

Peters Achim1,Rübsamen Markus1,Jacob Ulrich1,Look Dieter1,Scriba Peter C1

Affiliation:

1. Department of Internal Medicine, Medical University Lübeck Helbachtal Diabetes Education Centre, Federal Institute for Salaried Employees' Insurance Mölln, Germany

Abstract

Objective We developed a wallet-sized learning memory decision support system that helps patients with insulin-dependent diabetes mellitus adjust their insulin dosages. Research Design and Methods To determine the efficacy of the support system, we designed a randomized clinical trial with patients participating in a program in a diabetes education center. Patients were assigned to two groups of 21 patients each. All patients performed self-monitoring of blood glucose (SMBG) and were treated with multiple daily injections of insulin. Each of the patients was examined over a 32-day period. The basic educational program, i.e., practical advice in SMBG, diet, and exercise under homelike conditions, was identical in both groups. The only difference was that the first group used the computer for adjusting the insulin dose, whereas the second group received recommendations from the education team. Results The baseline HbA1 levels (9.8 ± 1.6 vs. 9.9 ± 1.6%) of both groups did not differ significantly. Mean blood glucose over the last 2 wk of the study was higher (P < 0.01) in the second group (8.4 ± 1.4 vs. 9.2 ± 2.0 mM); the frequencies of hypoglycemic episodes were not different (1.7 vs. 2.3%). Conclusions Metabolic control and safety were comparable in both groups. Thus, patients may benefit from such a system at home where no support by diabetes educators is available.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3