Close event block logic action
Event blocks provide a framework for creating modules within a single intervention. We’ve added a new logic action that allows you to end the event block based off a scheduled rule. For example, you might want to end a daily monitoring check-in for post-surgery drains when a patient reports output over a specified value.
Most recent data in adherence snapshot
You now have the option to show the most recent participant data first in the adherence snapshot. Originally the data appeared from oldest → newest. We switched it up allowing you to choose to show the most recent data first.
Variables and individual responses in adherence snapshot
The adherence snapshot just got more useful and robust! We can now show variables in the adherence snapshot. For example, you could show a calculated gestational week variable above a weekly blood pressure in order to track a participants blood pressure over time. You can also show multiple participant responses in the adherence snapshot. For example, if you have a daily survey with three questions, you can display all three responses in the adherence snapshot under the date of completion.
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Use variables in conversations and surveys
You can use global variables in conversations and surveys to make them even more customized to your participants. This could include personalized dates, names or goals.
Calculate values in surveys and conversations
Calculating values in surveys and conversations will allow you “score” or aggregate specific responses as needed. This would be helpful in many clinical scoring tools, like the PHQ-9, in which a total number based on participant responses is relevant to their care or outcomes.
Multiple sources in Participant Data and Survey-based Value variables
Variables can now look at multiple sources in order to give you more flexibility in updating participant data as needed. An example of this would be if you needed to make a second version of a survey after your intervention has launched. You could make the single variable look at both the answers from version 1 and version 2 of the survey in order to make sure all participants are assigned the proper variable in logic.
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