SNOMED CT

Body Mass Index (BMI)

These are the PRIMED Harmonization instructions for body mass index (BMI). 

Overall procedure
1. Extract trait measurements using measurement codes and calculations
2. Convert measurement units to expected units, if necessary
3. Apply measurement exclusion criteria, other than statistical outliers
4. Remove statistical outliers
5. Compute a single value per individual for inclusion in analysis
6. Calculate counts of flagged individuals

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Final

Lipids (HDL-C, LDL-C, TG)

This document describes the PRIMED Harmonization algorithms for HDL-C, LDL-C, and TG.
• High density lipoprotein (HDL-C)
• Triglycerides (TG):
o Non-fasting
• Low-density lipoprotein (LDL-C):
o Unadjusted non-fasting
o Adjusted non-fasting
Overall procedure
1. Extract trait measurements using measurement codes and calculations
2. Convert measurement units to expected units, if necessary
3. Apply measurement exclusion criteria
4. Prepare measurements for analysis

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Final

Opioid-exposed infant clinical indicators

Objective 

We leveraged existing data from a single electronic health care system in the southeastern United States to demonstrate the feasibility of measuring quality indicators for the hospital-based care of opioid-exposed newborns using existing data infrastructure. Additionally, we identified other key variables related to the care of opioid-exposed maternal-infant dyads.   

Patients and Methods 

Final

Type 2 Diabetes (T2D)

There are two case algorithms provided for T2D. The first (t2d_dprism_ehr_plus_1) is the preferred case algorithm and includes self-reported T2D information collected from survey. The second (t2d_dprism_ehr_1) is an alternative case algorithm that does NOT include self-reported T2D information collected from survey.
We request harmonization based on the preferred algorithm, but if self-reported T2D survey information is not available, the alternative algorithm is acceptable.

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Final