| 10/07/2024 |
3.30.0 |
EL-1-008-7 |
UPDATE |
Specification |
STEP 1: Enrolled on the last day of DQ report monthDefine 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 missing3. MSIS-IDENTIFICATION-NUM is not missingSTEP 2: Race information on the last day of DQ report monthUsing 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 month2a. RACE-DECLARATION-END-DATE >= last day of the DQ report month OR missingOR1b. RACE-DECLARATION-EFF-DATE is missing2b. RACE-DECLARATION-END-DATE is missingSTEP 3: Non-missing raceOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. RACE is non-missingSTEP 4: Percent race for the current month1. For each distinct value of race, set the number of unique MSIS IDs as Numerator_Count_By_Value. 2. Set the total number of unique MSIS IDs across all valid values of race as Denominator_Count. Note that Denominator_Count should also equal to the count of MSIS IDs from STEP 3. 3. For each distinct value of race, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count. STEP 5: Percent race for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of race, set the percent of race for the previous month as Percent_Prior_Month_1.STEP 6: Calculate change between monthsFor each frequency percent, calculate Frequency_Change as the absolute value of (Percent_Current_Month – Percent_Prior_Month_1) / 2. Note that Frequency_Change is a vector of frequencies.STEP 7: Calculate index of dissimilarityCalculate the index of dissimilarity by summing Frequency_Change across all frequencies and dividing by 100 |
STEP 1: Enrolled on the last day of DQ report monthDefine 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 missing3. MSIS-IDENTIFICATION-NUM is not missingSTEP 2: Race information on the last day of DQ report monthUsing 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 month2a. RACE-DECLARATION-END-DATE >= last day of the DQ report month OR missingOR1b. RACE-DECLARATION-EFF-DATE is missing2b. RACE-DECLARATION-END-DATE is missingSTEP 3: Non-missing raceOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. RACE is non-missingSTEP 4: Percent race for the current month1. For each distinct value of race, set the number of unique MSIS IDs as Numerator_Count_By_Value. 2. Sum the total number of unique MSIS IDs within each valid value of ethnicity and set as Denominator_Count. Note that Denominator_Count should also equal to the count of MSIS IDs from STEP 3.3. For each distinct value of race, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count. STEP 5: Percent race for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of race, set the percent of race for the previous month as Percent_Prior_Month_1.STEP 6: Calculate change between monthsFor each frequency percent, calculate Frequency_Change as the absolute value of (Percent_Current_Month – Percent_Prior_Month_1) / 2. Note that Frequency_Change is a vector of frequencies.STEP 7: Calculate index of dissimilarityCalculate the index of dissimilarity by summing Frequency_Change across all frequencies |
An official website of the United States government
