The Inclusion Report shows the impact of your Inclusion Rules against your Initial Events. This report is saying that you started with 88,812 initial events (note, there could be multiple events per person here), and after all inclusion rules were applied, you were left with 85,602 events. Those 85,602 events were used to construct 7,334 episodes (the 'Records' column at the top) for 7,334 people (the 'People' column), showing that each person has exactly 1 episode.
Without seeing your Definition from your screenshot, I can deduce the following:
- You selected 'all events per person' for your Inital events.
- You did not specify any Exit specification, so all your initial events start at the event start date, and ends at the observation period end date that contains the event.
Conclusion: due to no Exit specification, all events will collapse down to 1 episode per person, starting with the earliest event per person and ending with the observation period end date.
As an experiment with this cohort definition, try setting the Exit to a fixed number of days after the event start date: 30d. What this will do is cause each event to have a fixed time duration of 30d, and any events found within 30d of each other will be 'grouped' together, and any events that are spaced more than 30d apart will create separate episodes. What you should see in your Inclusion Report is the same number of events being processed, but you will get different numbers of 'Records' (aka: episodes) because you are specifying that an initial event now has an end.