This feature is only available with the enterprise Plan. (Care App and Care Portal).
The Wearing Detection Overview dashboard provides a centralized view of participant compliance across a study, enabling Care Portal users to quickly understand whether devices are being worn correctly and consistently over time. The dashboard supports monitoring at the study level, site level, and individual participant level, making it a key tool for both high-level oversight and detailed review.
By default, the dashboard displays data for the last 4 weeks, with compliance aggregated on a daily basis. This default view is designed to give a recent and detailed snapshot of participant compliance without requiring any configuration.
Compliance is calculated as the proportion of time the device has been worn correctly relative to the total monitoring time. All calculations are performed using the UTC timezone to ensure consistency across participants and sites.
Data Refresh & Availability
The dashboard is updated once per day, typically at 11:30 AM UTC. Any data collected or uploaded after this time will not appear immediately but will instead be included in the following day’s update.
To provide full transparency, the dashboard displays both the date and time of the last update and the scheduled time for the next update. This allows users to understand how current the data is and when newly uploaded information will become visible.
Compliance Data Table
The compliance table presents detailed participant-level data corresponding to the selected filters and time range. For each participant, users can review the total number of monitoring days, the average compliance over the selected period, and the compliance values for each day or week, depending on the chosen resolution.
Additional information is available through hover interactions on individual cells, providing more granular insight into specific data points. All values shown in the table are calculated using UTC time, ensuring alignment with the rest of the dashboard.
This table is particularly useful for identifying trends over time, spotting inconsistencies, and determining which participants may require follow-up.
Time Period & Resolution Selection
The dashboard allows users to adjust both the time range and the level of aggregation of the data displayed. The time filters are located at the top of the dashboard.
In addition to the default “last 4 weeks view”, users can quickly switch to a “last 12 weeks” preset through the quick filters at the top of the page. This provides a broader view of compliance trends over time. When using these predefined ranges, compliance can be visualized either as daily values for more granular insight or as weekly aggregates to highlight broader patterns.
Users can also define a custom time range, which allows for a more precise analysis of a specific period. The time filter is located in the top-right corner of the dashboard; selecting it opens a date range selector. The maximum selectable range is 12 weeks, and the visualization will automatically adjust to display the selected timeframe accurately. Depending on the selected resolution, compliance can be aggregated per day or week.
In addition to time range and resolution, users can switch between two viewing modes: “Calendar View” and “Monitoring Days View”.
The default Calendar View displays data along a standard timeline, reflecting actual calendar dates. The Monitoring Days View, on the other hand, aligns participants based on their individual monitoring start dates, displaying data as sequential days. This view is particularly useful for comparing participant compliance over equivalent monitoring periods, even when their monitoring start dates differ.
Filters and Search
The dashboard includes a filtering system that allows users to refine the dataset being displayed. The filter panel is located on the left-hand side of the page and can be opened by clicking the “Search & Filter” button if it is not already visible.
Within this panel, users can search for specific participants by entering keywords or IDs. It is also possible to narrow the dataset based on compliance level, participant status, or site selection. As filters are applied, both the visualizations and the data table update dynamically to reflect the selected criteria, ensuring that users are always working with a consistent and relevant subset of data.
Patient Compliance Distribution
The Patient Compliance Distribution section provides a visual summary of how participants are distributed across the defined compliance levels within the selected time period and filters.
This view makes it easy to quickly assess the overall performance of a study or site and identify whether a large proportion of participants are meeting compliance expectations. By interacting with the visualization, users can hover over individual participant identifiers to reveal additional details and access a direct link to the participant’s detailed wearing detection view.
Compliance Thresholds
Compliance levels displayed in the dashboard are determined using thresholds defined during the study configuration phase. These thresholds are agreed upon with the study team and may differ between studies depending on their requirements.
Studies can use two thresholds, allowing participants to be categorized into HIGH, MEDIUM, or LOW compliance. In other cases, a single threshold may be used, resulting in a simpler distinction between HIGH and LOW compliance.
The currently configured thresholds are listed in the help tooltip of the Patient compliance distribution section.
Data Export
The dashboard includes the ability to export data for offline analysis. By clicking the “Download CSV” button, users can download a file containing the same compliance data currently displayed on the screen.
The exported file reflects the selected time range, filters, and aggregation level, ensuring consistency between what is viewed in the dashboard and what is analyzed externally.