Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study
Klemme I, Wrona KJ, de Jong IM, Dockweiler C, Aschentrup L, Albrecht J (2022)
JMIR Diabetes 8: e38474.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Klemme, Isabel;
Wrona, Kamil J.UniBi ;
de Jong, Irja Marije;
Dockweiler, Christoph;
Aschentrup, Leona;
Albrecht, JoannaUniBi
Abstract / Bemerkung
Background: Diabetes is a major global epidemic and serious public health problem. Diabetes self-management is a 24/7 challenge for people with type 1 diabetes that influences their quality of life (QoL). Certain apps can support the self-management of people with diabetes; however, current apps do not meet the needs of people with diabetes appropriately, and their safety is not ensured. Moreover, there are a multitude of hardware and software problems associated with diabetes apps and regulations. Clear guidelines are required to regulate medical care via apps. In Germany, apps must undergo 2 examination processes to be listed in the Digitale Gesundheitsanwendungen directory. However, neither examination process considers whether the medical use of the apps is sufficient for users' self-management.
Objective: This study aims to contribute to the technology development process of diabetes apps by exploring individual perspectives on desired features and content of diabetes apps among people with diabetes. The vision assessment conducted is a first step toward creating a shared vision among all relevant stakeholders. To ensure adequate research and development processes for diabetes apps in the future, guiding visions from all relevant stakeholders are required.
Methods: In a qualitative study, 24 semistructured interviews with patients with type 1 diabetes were conducted, among whom 10 (42%) were currently using an app. To clarify the perceptions of people with diabetes regarding the functions and content of diabetes apps, a vision assessment was conducted.
Results: People with diabetes have concrete ideas of features and content in apps to improve their QoL and allow them to live as comfortably as possible, such as informative predictions through artificial intelligence, improvements in signal loss and value delay through smartwatches, improved communication and information-sharing capabilities, reliable information sources, and user-friendly and discreet messaging options through smartwatches. In addition, according to people with diabetes, future apps should show improved sensors and app connectivity to avoid incorrect values being displayed. They also wish for an explicit indication that displayed values are delayed. In addition, personalized information was found to be lacking in apps.
Conclusions: People with type 1 diabetes want future apps to improve their self-management and QoL and reduce stigma. Desired key features include personalized artificial intelligence predictions of blood glucose levels, improved communication and information sharing through chat and forum options, comprehensive information resources, and smartwatch alerts. A vision assessment is the first step in creating a shared vision among stakeholders to responsibly guide the development of diabetes apps. Relevant stakeholders include patient organizations, health care professionals, insurers, policy makers, device manufacturers, app developers, researchers, medical ethicists, and data security experts. After the research and development process, new apps must be launched while considering regulations regarding data security, liability, and reimbursement.
Erscheinungsjahr
2022
Zeitschriftentitel
JMIR Diabetes
Band
8
Art.-Nr.
e38474
eISSN
2371-4379
Page URI
https://pub.uni-bielefeld.de/record/2962387
Zitieren
Klemme I, Wrona KJ, de Jong IM, Dockweiler C, Aschentrup L, Albrecht J. Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes. 2022;8: e38474.
Klemme, I., Wrona, K. J., de Jong, I. M., Dockweiler, C., Aschentrup, L., & Albrecht, J. (2022). Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes, 8, e38474. https://doi.org/10.2196/38474
Klemme, Isabel, Wrona, Kamil J., de Jong, Irja Marije, Dockweiler, Christoph, Aschentrup, Leona, and Albrecht, Joanna. 2022. “Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study”. JMIR Diabetes 8: e38474.
Klemme, I., Wrona, K. J., de Jong, I. M., Dockweiler, C., Aschentrup, L., and Albrecht, J. (2022). Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes 8:e38474.
Klemme, I., et al., 2022. Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes, 8: e38474.
I. Klemme, et al., “Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study”, JMIR Diabetes, vol. 8, 2022, : e38474.
Klemme, I., Wrona, K.J., de Jong, I.M., Dockweiler, C., Aschentrup, L., Albrecht, J.: Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes. 8, : e38474 (2022).
Klemme, Isabel, Wrona, Kamil J., de Jong, Irja Marije, Dockweiler, Christoph, Aschentrup, Leona, and Albrecht, Joanna. “Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study”. JMIR Diabetes 8 (2022): e38474.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
References
Daten bereitgestellt von Europe PubMed Central.
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PMID: 37104003
PubMed | Europe PMC
Preprint: 10.2196/preprints.38474
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