Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Background: I'm trying to create a denominator for Patients that have a Disease Diagnosis Date on or before the time they started taking the Drug. We want to make sure to only capture with high confidence that the patients are taking the drugs we are interested in AFTER they were diagnosed with the disease we are interested in. The thought is if someone is taking a drug before their diagnosis date then they most likely were taking that drug for a different disease.
Table/Relationship Structure: Patient dimension table in the center of the schema, fact Drug table (many drugs to one patient), fact Disease table (many diseases to one patient). There is no direct relationship between Drug and Disease tables.
Silly Example - yes this isn't a disease:
Drugs of Interest: Advil & Tylonol
Patient 109247 took Advil on 1/8/2020
Patient 109247 took Tylonol on 1/17/2020
Patient 109247 was diagnosed with Headache on 1/20/2020
This patient should not be counted in our denominator at all because they were diagnosed after taking the drugs.
SQL:
SELECT Count (Distinct dr.PatientID)
FROM DrugTable dr
INNER JOIN DiseaseTable di on di.PatientID = dr.PatientID
WHERE dr.DrugDate >= di.DiseaseDate
DAX:
CALCULATE(
DISTINCTCOUNT(DrugTable[PatientID]),
FILTER (DrugTable, DrugTable[DrugDate] >= DiseaseTable[DiseaseDate]))
*The Filter function is where I'm having difficulties because it can't establish a relationship between drug and disease tables. Help pls!
Hi @Anonymous,
could you see if this measure does the trick:
number of patients =
COUNTROWS (
GROUPBY (
FILTER (
GENERATE (
GENERATE (
VALUES ( Patient[PatientID] );
CALCULATETABLE ( VALUES ( Diagnose[diagnoseDate] ) )
);
CALCULATETABLE ( VALUES ( Drug[drugDate] ) )
);
Drug[drugDate] >= Diagnose[diagnoseDate]
);
Patient[PatientID]
)
)
I have not tested it thoroughly, just used the patient you provided + one I invented myself.
Cheers,
Sturla
If this post helps, then please consider Accepting it as the solution. Kudos are nice too.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
47 | |
22 | |
20 | |
15 | |
13 |
User | Count |
---|---|
49 | |
41 | |
39 | |
19 | |
19 |