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

Dieter Hayn; Markus Falgenhauer; Sabine Czerny; Florian Hoffmann; Peter Kastner

doi:10.3233/SHTI220365

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

Dieter Hayn
, Markus Falgenhauer
, Sabine Czerny
, Florian Hoffmann
, Peter Kastner

Ludwig Boltzmann Institute for Digital Health and Prevention
telbiomed
Versicherungsanstalt öffentlich Bediensteter, Eisenbahnen und Bergbau – BVAEB, Vienna

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	171-178
Number of pages	8
Journal	Studies in Health Technology and Informatics
Volume	293
DOIs	https://doi.org/10.3233/SHTI220365
Publication status	Published - 16 May 2022
Event	dHealth 2022 - 16th Annual Conference on Health Informatics meets Digital Health - Duration: 24 May 2022 → 25 May 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Field

Exploration of Digital Health

Keywords

Chronic Disease
Diabetes Mellitus/therapy
Humans
Motivation
Prospective Studies
Telemedicine/methods
Telehealth
adherence management
dropout prevention
diabetes management

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10.3233/SHTI220365Licence: CC BY-NC

Cite this

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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.",

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AU - Hayn, Dieter

AU - Falgenhauer, Markus

AU - Czerny, Sabine

AU - Hoffmann, Florian

AU - Kastner, Peter

N1 - © 2022 The authors, AIT Austrian Institute of Technology and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

PY - 2022/5/16

Y1 - 2022/5/16

N2 - 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.

AB - 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.

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KW - diabetes management

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

Abstract

UN SDGs

Research Field

Keywords

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