Adherence to the Data Submission Protocol in a Diabetes Telehealth Service Pre and Post Deployment of an Adherence Optimization Module

Author:

Hayn Dieter12,Falgenhauer Markus1,Czerny Sabine3,Hoffmann Florian3,Kastner Peter14

Affiliation:

1. AIT Austrian Institute of Technology, Graz, Austria

2. Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria

3. Versicherungsanstalt für öffentlich Bedienstete, Eisenbahnen und Bergbau – BVAEB, Vienna, Austria

4. telbiomed Medizintechnik und IT Service GmbH, Graz, Austria

Abstract

Background: Telehealth services for chronic diseases are becoming more and more popular since they are expected to improve health outcomes and reduce costs. Especially for diabetes patients, life-long disease management is required. However, there are situations in a patient’s life, when motivation to continue the participation in disease management programs is low and the dropout-risk is high. Objectives: We analysed if an adherence management module provided to healthcare professionals within a pre-existing diabetes telehealth service can improve the long-term adherence. Methods: The adherence to the agreed data submission protocol was determined prior and post implementation of the adherence management module. Results: Adherence to the agreed data submission protocol was higher after implementation of the adherence management module as compared to previous years. Conclusion: Adherence to the agreed data submission protocol can be improved by helping healthcare professionals to identify patients at risk of dropout. Further analyses are indicated to proof these results in a prospective study.

Publisher

IOS Press

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