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Adherence to the Data Submission Protocol in a Diabetes Telehealth Service Pre and Post Deployment of an Adherence Optimization Module.
Hayn, Dieter; Falgenhauer, Markus; Czerny, Sabine; Hoffmann, Florian; Kastner, Peter.
Afiliação
  • Hayn D; AIT Austrian Institute of Technology, Graz, Austria.
  • Falgenhauer M; Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
  • Czerny S; AIT Austrian Institute of Technology, Graz, Austria.
  • Hoffmann F; Versicherungsanstalt für öffentlich Bedienstete, Eisenbahnen und Bergbau - BVAEB, Vienna, Austria.
  • Kastner P; Versicherungsanstalt für öffentlich Bedienstete, Eisenbahnen und Bergbau - BVAEB, Vienna, Austria.
Stud Health Technol Inform ; 293: 171-178, 2022 May 16.
Article em En | MEDLINE | ID: mdl-35592978
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Diabetes Mellitus Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telemedicina / Diabetes Mellitus Idioma: En Ano de publicação: 2022 Tipo de documento: Article