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Measure Name | % of MSIS IDs that have White race (RACE = 001) |
---|---|
File Type | ELG |
Measure ID | EL-1-026-33 |
Measure Type | Non-Claims Percentage |
Content area | ELG |
Validation Type | Inferential |
---|
Measure Priority | High |
---|---|
Focus Area | Race/ethnicity |
Category | Beneficiary demographics |
Claim Type | N/A |
---|---|
Adjustment Type | N/A |
Crossover Type | N/A |
Minimum | 0.01 |
---|---|
Maximum | 0.9 |
TA Minimun | 0.01 |
TA Maximum | 0.9 |
Longitudinal Threshold | N/A |
For TA
(for including in compliance training) |
TA- Inferential |
For TA
(Longitudinal) |
No |
DD Data Element | MSIS-IDENTIFICATION-NUM • RACE |
---|---|
DD Data Element Number | ELG212 • ELG213 |
Annotation | Calculate the percentage of MSIS IDs with a RACE value of "001" |
---|---|
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: Race is White Of the MSIS IDs that meet the criteria from STEP 2, further restrict them by the following criteria: 1. RACE equals "001" on any record segment STEP 4: Percentage Divide the count from STEP 3 by the count in STEP 1 *Note: This can include MSIS IDs from STEP 1 that did not join to a race information segment. |