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Health care effects and medical benefits of a smartphone-based diabetes self-management application : study protocol for a randomized controlled trial
Ehrmann, Dominic; Eichinger, V.; Vesper, Iris; u. a. (2022): Health care effects and medical benefits of a smartphone-based diabetes self-management application : study protocol for a randomized controlled trial, in: Trials, London: BioMed Central, Jg. 23, Nr. 1, S. 282, doi: 10.1186/s13063-022-06248-2.
Faculty/Chair:
Author:
Title of the Journal:
Trials
ISSN:
1745-6215
Publisher Information:
Year of publication:
2022
Volume:
23
Issue:
1
Pages:
Language:
English
Abstract:
Background:
Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO). Here, we report the protocol of this study that aims at evaluating the efficacy of the digital self-management application with regard to patient-reported outcomes and medical benefits.
Methods/design:
This multicenter, open-label, randomized, parallel-group, controlled trial will evaluate the health care effects and medical benefits of mySugr PRO. A total of 466 people with diabetes will be randomly allocated (2:1 randomization) to the interventional group (n = 311) that will use the digital self-management application during the 12-week study period or the control group (n = 155; no usage of the application). Baseline and follow-up examinations will assess diabetes distress as the primary endpoint as well as empowerment, HbA1c, blood glucose data, self-management, general well-being, and treatment satisfaction as secondary endpoints. Statistical analyses will use an intention-to-treat procedure (using multiple imputation for missing values) as well as a per-protocol approach for sensitivity analysis.
Discussion:
To the best of our knowledge, this study will be one of the largest diabetes-specific evaluations of a digital health application supporting people with diabetes in their diabetes self-management that follow the requirements of the German Digital Healthcare Act.
Trial registration:
German Clinical Trial Register DRKS00022923. Registered on 22 October 2020.
Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO). Here, we report the protocol of this study that aims at evaluating the efficacy of the digital self-management application with regard to patient-reported outcomes and medical benefits.
Methods/design:
This multicenter, open-label, randomized, parallel-group, controlled trial will evaluate the health care effects and medical benefits of mySugr PRO. A total of 466 people with diabetes will be randomly allocated (2:1 randomization) to the interventional group (n = 311) that will use the digital self-management application during the 12-week study period or the control group (n = 155; no usage of the application). Baseline and follow-up examinations will assess diabetes distress as the primary endpoint as well as empowerment, HbA1c, blood glucose data, self-management, general well-being, and treatment satisfaction as secondary endpoints. Statistical analyses will use an intention-to-treat procedure (using multiple imputation for missing values) as well as a per-protocol approach for sensitivity analysis.
Discussion:
To the best of our knowledge, this study will be one of the largest diabetes-specific evaluations of a digital health application supporting people with diabetes in their diabetes self-management that follow the requirements of the German Digital Healthcare Act.
Trial registration:
German Clinical Trial Register DRKS00022923. Registered on 22 October 2020.
GND Keywords: ; ;
Diabetes mellitus
Selbstmanagementtherapie
E-Health
Keywords: ; ; ;
Diabetes
Self-management
Diabetes distress
Digital health application
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Article
Activation date:
September 12, 2023
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/90660