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TMSIS Dataguide Medicaid.gov
Version 3.27.0

EL-1-011_1-29

Data Quality Measure
Last updated

No Updates

Key Information

Measure Name % of MSIS IDs with more than one valid, specified race value
File Type ELG
Measure ID EL-1-011_1-29
Measure Type Non-claims percentage
Content area ELG

Validation

Validation Type Inferential

Measure Priority

Measure Priority High
Focus Area Race/ethnicity
Category Beneficiary demographics

Claim Information

Claim Type N/A
Adjustment Type N/A
Crossover Type N/A

Thresholds

Minimum 0.0001
Maximum 0.8
TA Minimun 0.0001
TA Maximum 0.8
Longitudinal Threshold N/A
For TA
(for including in compliance training) 		TA- Inferential
For TA
(Longitudinal) 		No

Data Elements

DD Data Element MSIS-IDENTIFICATION-NUM • RACE
DD Data Element Number ELG212 • ELG213

Annotation Calculate the percentage of MSIS IDs that have more than one race
Specification STEP 1: Enrolled on the last day of DQ report month

Define the eligible population from segment ENROLLMENT-TIME-SPAN-ELG00021 by keeping active records that satisfy the following criteria:

1. ENROLLMENT-EFF-DATE <= last day of the DQ report month

2. ENROLLMENT-END-DATE >= last day of the DQ report month OR missing

3. MSIS-IDENTIFICATION-NUM is not missing



STEP 2: Race information on the last day of DQ report month

Using the MSIS IDs that meet the criteria from STEP 1, join to segment RACE-INFORMATION-ELG00016 by keeping active records that satisfy the following criteria:

1a. RACE-DECLARATION-EFF-DATE <= last day of the DQ report month

2a. RACE-DECLARATION-END-DATE >= last day of the DQ report month OR missing

OR

1b. RACE-DECLARATION-EFF-DATE is missing

2b. RACE-DECLARATION-END-DATE is missing



STEP 3: Valid, specified race

Of the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with:

1. RACE = (“001,” “002,” “003,” “004,” “005,” “006,” “007,” “008,” “009,” “010,” “011,” “012,” “013,” “014,” “015,” “016,” or “018”)



STEP 4: More than one valid race value

Of the MSIS IDs that meet the criteria from STEP 3, further refine to distinct MSIS IDs that have more than one specified value for race



STEP 5: Calculate percentage

Divide the unique count of MSIS IDs from STEP 4 by the unique count of MSIS IDs from STEP 2