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Measure Name | % of MSIS IDs who are female |
---|---|
File Type | ELG |
Measure ID | EL-1-019-6 |
Measure Type | Non-Claims Percentage |
Content area | ELG |
Validation Type | Longitudinal and inferential |
---|
Measure Priority | Medium |
---|---|
Focus Area | N/A |
Category | Beneficiary demographics |
Claim Type | N/A |
---|---|
Adjustment Type | N/A |
Crossover Type | N/A |
Minimum | 0.5 |
---|---|
Maximum | 0.66 |
TA Minimun | 0.45 |
TA Maximum | 0.8 |
Longitudinal Threshold | 0.05 |
For TA
(for including in compliance training) |
TA- Inferential |
For TA
(Longitudinal) |
No |
DD Data Element | MSIS-IDENTIFICATION-NUM • SEX |
---|---|
DD Data Element Number | ELG019 • ELG023 |
Annotation | Calculate the percentage of eligibles who are female |
---|---|
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: Primary demographics on the last day of DQ report month Using the MSIS IDs that meet the criteria from STEP 1, join to segment PRIMARY-DEMOGRAPHICS-ELG00002 by keeping records that satisfy the following criteria: 1a. PRIMARY-DEMOGRAPHIC-ELEMENT-EFF-DATE <= last day of the DQ report month 2a. PRIMARY-DEMOGRAPHIC-ELEMENT-END-DATE >= last day of the DQ report month OR missing OR 1b. PRIMARY-DEMOGRAPHIC-ELEMENT-EFF-DATE is missing 2b. PRIMARY-DEMOGRAPHIC-ELEMENT-END-DATE is missing STEP 3: Female Of the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with SEX = "F" STEP 4: Calculate percentage for measure DIVIDE the count of MSIS IDs from STEP 3 by the count of MSIS IDs from STEP 1 |