Navigating the DiGA Jungle: A Taxonomy and Archetypal Framework of the German Digital Therapeutics Landscape
Cenko, E.; Weimann, T. G.; Raptis, G.
Show abstract
Digital therapeutics (DTx) are patient-facing apps designed to support individuals in their daily lives. Therefore, they have the potential to revolutionize healthcare by empowering and engaging patients to become active players in their own care. Despite the increasing adoption of DTx in national healthcare systems, research on their design remains limited. The present study introduces "DiGATax", a taxonomy designed to categorize and analyze DTx, including perspectives on content, intervention delivery logic and technology, as well as the patients interface, consolidating and expanding upon prior taxonomic work. Based on n = 44 applications retrieved from the German DiGA directory that demonstrated positive health outcomes, the taxonomy is supported by empirical evidence. Additionally, the study contributes by presenting an archetype framework of DTx derived from a taxonomy-based cluster analysis. Further analyses offer insights into specific combinations of DTx characteristics across archetypes, the user interface as a key factor in their acceptance, and potential links between DTx design and health-related and user engagement outcomes. By offering new insights into DTx design, this study contributes towards more organized research and reporting, ultimately paving the way for the development of effective solutions. It also marks a further step towards Meta-DTx, which aim to align patient care for multimorbid patients under one umbrella.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Artificial Intelligence (AI)-based Chatbots in Promoting Health Behavioral Changes: A Systematic Review 96%
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 96%
- Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data 94%
Similar papers in this journal
- Validating a Clinical Decision Support System for Palliative Care using healthcare professionals’ insights 97%
- A digital self-care intervention for Ugandan patients with heart failure and their clinicians: User-centred design and usability study 94%
- How suitable are clinical vignettes for the evaluation of symptom checker apps? A test theoretical perspective 94%
Similar papers in this journal
- The NASSS (Non-Adoption, Abandonment, Scale-Up, Spread and Sustainability) framework use over time: A scoping review 95%
- Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study 94%
- Benefits and Challenges of Using Virtual Primary Care During the COVID-19 Pandemic: From Key Lessons to a Framework for Implementation 94%
Similar papers in this journal
- Design and Formative Evaluation of a Voice-based Virtual Coach for Problem-Solving Treatment 96%
- Applications and barriers to use of an mHealth iPhone application for self-management of chronic recurrent medical conditions: A Pilot Study 94%
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: a simulation study 94%
Similar papers in this journal
- The development of a World Health Organization transdiagnostic chatbot intervention for distressed adolescents and young adults 94%
- User Perceptions of Individually-Tailored Health Information in 1 Digital Apps: Development of a Scale 93%
- Using wearable and nearable devices in telerehabilitation for COPD: A review of digital endpoints in home-based programs 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.