I require few suggestions on how to design
Currently what we do is the usual. we pick of
minimum of a patient's visit start date (out of multiple visits (start date)) and
maximum of visit end date (out of multiple visits (end dates)).
Though this works fine, I see that Atlas misses the patients who don’t fall within the observation periods. I also understand that Atlas allows us to
ignore observation periods for inclusion criteria which is great.
As observation period criteria is the fundamental, I understand Atlas has it as mandatory criteria.
Now only option I have is to design an observation period logic which can allow me to select all patients (similar to ignoring observation periods) in
cohort entry events because I don’t wish to ignore records from analysis.
Let’s say my
observation_period_start_date is 01/01/1899 and my
observation_period_end_date is 31/12/9999
Now can’t this type of observation period logic be useful in studies where we do just retrospective analysis of our data, apply some ML algorithms and get the insights? @Chris_Knoll did touch upon this in this post, but I just felt creating a separate thread would be better
ex: If we have to find the 28 day mortality of patient, I can just rely on his domain tables like visit_start_date and other clinical measurements/data to do the analysis. Am I right?
Does observation period play any role during analysis when we have all other data for analysis? Or can you help me understand by giving an ordinary layman explanation on what kind of studies does
observation period is required? I understand it’s used for selecting patients and the amount of time patient is in a cohort will be more like in centuries. But having a cohort time of centuries can cause any impact during analysis? Because If I am to do a study, we usually pick a cohort based on certain criteria and collect their covariates and do the analysis.
So, with all your experience of conducting several studies in healthcare and transforming EHR data to CDM form, can you please help a beginner like me on this? When and for what kind of studies (example please) should we be actually bothered about
observation periods? what is the logic that you follow usually? do you always have to compromise by letting go of certain records when they aren’t between the observation periods?