I want to examine the risk of death following an overdose ambulance attendance by a city centre ambulance service.
During follow-up, many of the individuals have multiple attendances following the index episode.

We began inclusion at a random time (1.1.2014) and included individuals until 31.12.2018.
I want to examine the risk of death following an ambulance attendance in general, and I am therefore hesitant to use the index episode or the final episode and disregard the rest of attendances.

However, I wonder if anyone has any advice or reference on what would be the most correct manner to address this issue?
Below I have outlined the four possibilities I have considered. I think maybe no 4 is the correct manner to address this issue, but not sure.

I can estimate the study time from
1. the index episode until censoring (death or end of follow-up) and add total number of ambulance attendances as an independent variable to the regression model.
2. the final episode until censoring (death or end of follow-up) and add total number of ambulance attendances to the regression model.
3. each ambulance attendance until censoring (death or end of follow-up). This means one row for each attendance, but the person-time for each individual will not be correct.
4.each ambulance attendance and censor at the next ambulance attendance and from the final ambulance attendance censor at death or end of follow-up.

Anyone who could point me in the right direction?