It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
Germany was the first country worldwide to offer mobile digital health applications (mHealth apps, “DiGA”) on prescription with full cost coverage by statutory health insurances. Especially statutory health insurances criticize the current pricing and payment regulations in Germany due to “free and non-transparent” pricing in the first year and lack of cost use evidence. The study consists of two parts: The first part evaluates interests of digital health application providers and statutory health insurances in Germany to identify overlaps and divergences of interests. The second part includes the development of a comprehensive pricing and payment taxonomy for reimbursable mHealth apps in general.
Methods
Both parts of the study used the input from 16 expert interviews with representatives of digital health application providers and statutory health insurances in Germany. In part one the authors conducted a qualitative content analysis and in part two they followed the taxonomy development process according to Nickerson et al. (2013).
Results
A value based care model is expected to bring the greatest benefit for patients while statutory health insurances welcome the idea of usage based pricing. The final pricing and payment taxonomy consists of four design and negotiation steps (price finding, payment prerequisites, payment modalities, composition of negotiation board).
Conclusions
As healthcare resources are scarce and thus need to be optimally allocated, it is important to implement pricing and payment terms for reimbursable mHealth apps that result in the greatest benefit for patients. To the best of the authors’ knowledge, there has been no structured study yet that examines alternative pricing strategies for reimbursable mHealth apps.The developed pricing and payment taxonomy for reimbursable mHealth apps serves as planning and decision basis for developers, health policy makers and payers internationally.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Witten/Herdecke University, Health Care Informatics, Faculty of Health, School of Medicine, Witten, Germany (GRID:grid.412581.b) (ISNI:0000 0000 9024 6397)
2 Witten/Herdecke University, Faculty of Health, School of Medicine, Witten, Germany (GRID:grid.412581.b) (ISNI:0000 0000 9024 6397); Helios University Hospital Wuppertal, Wuppertal, Germany (GRID:grid.490185.1)
3 Witten/Herdecke University, Faculty of Health, School of Medicine, Witten, Germany (GRID:grid.412581.b) (ISNI:0000 0000 9024 6397)
4 Witten/Herdecke University, Health Care Informatics, Faculty of Health, School of Medicine, Witten, Germany (GRID:grid.412581.b) (ISNI:0000 0000 9024 6397); Fraunhofer Institute for Software and Systems Engineering, Department Healthcare, Dortmund, Germany (GRID:grid.469821.0) (ISNI:0000 0000 8536 919X)