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Parameter | Example / Default Value | Description |
@site | DEMO (no default) | A short (e.g., 3-character) identifier for your site. |
@LOOKBACK_YEARS | 1 | A number of years for lookback. The original algorithm used 1 year, but we have found 3- or 5-years are more accurate, because some preventative care like PSA and Pap Smears do not occur every year. |
@DEMOGRAPHIC_FACTS | 0 | Set to 1 if demographic facts (e.g., age, sex) are stored in the fact table (rather than patient_dimension). |
@GENDERED | 0 | Set to 1 to create a summary table (and cutoffs) that do not include male-only facts for female patients in the denominator and vice-versa. |
@COHORT_FILTER | @cfilter (no default) | Specify a table variable of (PATIENT_NUM, COHORT_NAME) in the second parameter. |
@OUTPUT | 1 | If 1, pretty-print the loyalty_dev_summary percentages after the run. |
Simple Example
The following examples create a cohort filter of the first 1000 rows in patient_dimension, and computes the loyalty cohort with an index date of and a one-year lookback.
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Execute the following statement on your database to print the output that can be shared: select * from loyalty_dev_summary where Summary_Description='PercentOfSubjects'
- This will create two tables on your db, DT_LOYALTY_RESULT (line level data with variables and score presented for each patient) and DT_LOYALTY_RESULT_SUMMARY (summary table).
Advanced Example
A cohort filter can be created from a patient set query in i2b2. Below is an example that looks up the cohort from a patient set query named "patient set test1" run by user "demouser".
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