ArticleDigital health
Performance-based reimbursement for digital therapeutics in Germany: A misconceptualized opportunity.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Conceptualization, Operationalization, and Measurement of Adherence to Patient-Facing Digital Health Applications: Protocol for a Scoping Review.JMIR research protocols · 2026Article
- Integration of Digital Therapeutics Into Occupational Rehabilitation in Germany: Multilevel Simulation Study.Journal of medical Internet research · 2026Article
- Making Advanced Therapies Affordable and Accessible: Two Strategic Approaches.Developing world bioethics · 2026Article
- The Italian landscape of digital therapeutics in a European context.Frontiers in digital health · 2026Review
- Real-World-Evidence of Digital Health Applications (DiGAs) in Rheumatology: Insights from the DiGAReal Registry.Rheumatology and therapy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Germany has one of the oldest social security systems in the world. Population coverage has subsequently increased, reaching coverage of approximately 90% of the population in the statutory health insurance (SHI) system today. Before this background, Germany has been pioneering the integration of digital therapeutics (DTx) into its SHI system by the introduction of the Digital Healthcare Law (Digitale-Versorgung-Gesetz, DVG) in 2019. Thereby, patients became eligible for digital health applications (Digitale Gesundheitsanwendungen, DiGA), which are available upon prescription by qualified healthcare professionals. Challenge: As conventional healthcare delivery often lacks direct outcome measures as and is mostly still reimbursed on a fee-for-service basis, DiGA offer the opportunity to continuously provide individual outcome and performance data. They are, therefore, well-suited for a performance-based payment framework. While the DVG introduced the option for performance-based reimbursement components in 2019 already, the ongoing debate about the value of DiGA and to what extent they can contribute to the healthcare system has now been reflected in a 2023 health policy bill by the German Federal Ministry of Health, which aims to introduce a mandatory performance-based reimbursement component for DiGA. Proposal: In this light, we propose a framework for performance-based reimbursement of DiGA, involving an intervention-specific, performance-linked reimbursement framework with shared accountability between manufacturers and payers. The approach aims to align the often contradicting interests of the involved stakeholders to incentivize the delivery of high-value digital health care. Yet, the proposal also acknowledges the need for further research to establish a robust foundation for implementing such a framework.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.