Previously submitted to: JMIR Research Protocols (no longer under consideration since May 19, 2019)
Date Submitted: Jul 21, 2018
Open Peer Review Period: Jul 26, 2018 - Aug 9, 2018
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PatientConcept App – an innovative tool to improve therapy adherence and to implement risk management plans.
Background: Adherence constitutes a great challenge for disease management, particularly when treating chronically ill patients facing an extensive, complex and long-term therapy. Earlier studies emphasize the relevance of adherence for improving therapy benefits. Besides the positive impact of increased patient support, the use of mobile health applications has gained importance in disease management. Objective: We aimed to develop a software application providing innovative features to simplify the contact between patients and treating physicians in order to overcome adherence barriers, to implement risk management plans and to collect patient reported outcome data. Methods: A novel software application ensuring data security was developed. Various innovative modules have been implemented, enabling bidirectional communication between treating physicians and patients, supporting therapy monitoring and management and allowing the collection of large sets of anonymous patient data. Results: The PatientConcept app is freely available for download and is tested since 2016, with more than 1800 generated patient IDs and 279 patients documenting health data according to risk management plans online in 2017. The impact on adherence issues is currently tested in larger patient populations. Conclusion: This innovative app provides a feasible and cost-optimized possibility to intensify and simplify the communication between patients and their treating physicians across indications, thus promising an exceptional benefit to both. It may not only support chronically ill patients in managing their daily life and improving adherence, but can also facilitate the implementation of risk management plans through automated monitoring, thus supporting physicians in their daily routine. Furthermore, patient reported outcome data can be collected. Importantly, a secure ID-associated data management ensures patient anonymity complying with highest data safety standards.
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