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Problem:
If patients miss a followup and then submit a later one, the sequence number of the followup ( being sequential ) will be lower than what it should be. This means when comparing to other patients with the same sequence number, the comparisons ( of scores) will be with a group of people who have been on treatments and so forth for a shorter period of time in an absolute sense, so if a patient does better over time, the average score will be artificially raised ( or artificially lowered) .
Solution:
My suggestion : we handle by assigning sequence number based on nearest to projected collection dates using a stored schedule. If we don't do this, the scale group average scores will be polluted by values which come from patients who have been on a given treatment , say, longer than the rest of the average set which will artificially raise the average score ( or artifically lower it)
For this we need the schedule stored in the registry metadata.
The text was updated successfully, but these errors were encountered:
It is important so depends on workload. Can you let us know how much time you think will be required and we can make a decision about making the change now or leaving it until later.
The scheduled timeframes for CRC are:
Baseline
6months
12 months
2 year (24 months)
3 years (36 months)
4 years (48 months)
5 years (60 months)
6 years (72 months)
7 years (84 years)
8 years (96 months)
9 years (108 months)
10 years (120 months)
How will we handle it though if there is an unscheduled capture of date?
The volume of cases in say breast (300+) would mean that pollution of the averages wouldn’t be so affected but this won’t be so for cancers/sites with a smaller volume.
Problem:
If patients miss a followup and then submit a later one, the sequence number of the followup ( being sequential ) will be lower than what it should be. This means when comparing to other patients with the same sequence number, the comparisons ( of scores) will be with a group of people who have been on treatments and so forth for a shorter period of time in an absolute sense, so if a patient does better over time, the average score will be artificially raised ( or artificially lowered) .
Solution:
My suggestion : we handle by assigning sequence number based on nearest to projected collection dates using a stored schedule. If we don't do this, the scale group average scores will be polluted by values which come from patients who have been on a given treatment , say, longer than the rest of the average set which will artificially raise the average score ( or artifically lower it)
For this we need the schedule stored in the registry metadata.
The text was updated successfully, but these errors were encountered: