Multicentre, Intern., Inv.-Initiated, Single-arm Case-finding Study of a Cloud Based Analytic Service as Screening Tool to Detect and Quantify Episodes of Absolute Arrhythmia Using an Automated, Wearable PPG-based Monitoring System

In this study, the feasibility of evaluating the efficacy of a cloud based analytic service in combination with a PPG-wearable in detecting AA will be assessed and the number of cases found. The design aims to provide simple, low-threshold access to this screening technology targeting at-risk populations. This study will not cause any restrictions on the usual care of the study participants. Access to the screening will be provided close to home and free of charge. The app will also be used to validate and enhance the clinical information about the participants captured during the study. This information will be used to define and refine target groups with highest screening efficiency and, in the long-term, outcome benefits. The study will describe the prevalence of AA in an unselected population that can be reached by a low-threshold screening procedure. The study will also generate important information on the different possible screening environments in different countries (e.g. pharmacies, GP practices, etc). Structures of work-up and continuous patient management in screen-positive individuals will be described and may help to design screening pathways in the main trial. By verifying the wearable-diagnoses by ECG in all screen-positive and a random selection of screen-negative participants, the diagnostic accuracy of the wearable in combination of cloud based analytic service can be estimated. Cost effectiveness assessment will evaluate the cost of low-threshold remote screening per patient identified and help guide to target high risk groups with optimal screening yield in the future. The collected data will provide the sound basis for the design and conduct of a large outcome trial.