EL-1-006-4

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TMSIS Dataguide

Medicaid.gov

Version 3.38.0

EL-1-006-4

Data Quality Measure

Last updated

Key Information

Measure Name	Index of dissimilarity - county
File Type	ELG
Measure ID	EL-1-006-4
Measure Type	Frequency
Content area	ELG

Validation

Validation Type	Index of Dissimilarity

Measure Priority

Measure Priority	Medium
Focus Area	N/A
Category	Beneficiary demographics

Claim Information

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

Thresholds

Minimum	0
Maximum	0.05
TA Minimun	0
TA Maximum	0.05
Longitudinal Threshold	N/A
For TA (for including in compliance training)	TA- Inferential
For TA (Longitudinal)	No

Data Elements

DD Data Element	ELIGIBLE-COUNTY-CODE
DD Data Element Number	ELG072

Annotation

Calculate the index of dissimilarity measure - county

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: Eligible contact information on the last day of DQ report month

Using the MSIS IDs that meet the criteria from STEP 1, join to segment ELIGIBLE_CONTACT_INFORMATION ELG00004 by keeping records that satisfy the following criteria:

1a. ELIGIBLE-ADDR-EFF-DATE <= last day of the DQ report month

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

OR

1b. ELIGIBLE-ADDR-EFF-DATE is missing

2b. ELIGIBLE-ADDR-END-DATE is missing

STEP 3: Non-missing county code for primary address

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

1. ELIGIBLE-COUNTY-CODE non-missing

2. ELIGIBLE_ADDRESS_TYPE = "01"

STEP 4: Percent eligible county code for the current month

1. For each distinct value of county code, 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 county code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.

STEP 5: Percent eligible county code for the previous month

Repeat STEP 1 through STEP 4 for the previous month. For each distinct value of county code, set the percent of county code for the previous month as Percent_Prior_Month_1.

STEP 6: Calculate change between months

For 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 dissimilarity

Calculate the index of dissimilarity by summing Frequency_Change across all frequencies

Published Date	Data Guide Version	DQM	Action	Field	Before	After
10/07/2024	3.30.0	EL-1-006-4	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: Eligible contact information on the last day of DQ report monthUsing the MSIS IDs that meet the criteria from STEP 1, join to segment ELIGIBLE_CONTACT_INFORMATION ELG00004 by keeping records that satisfy the following criteria:1a. ELIGIBLE-ADDR-EFF-DATE <= last day of the DQ report month2a. ELIGIBLE-ADDR-END-DATE >= last day of the DQ report month OR missingOR1b. ELIGIBLE-ADDR-EFF-DATE is missing2b. ELIGIBLE-ADDR-END-DATE is missingSTEP 3: Non-missing county code for primary addressOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. ELIGIBLE-COUNTY-CODE non-missing2. ELIGIBLE_ADDRESS_TYPE = "01"STEP 4: Percent eligible county code for the current month1. For each distinct value of county code, 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 county code 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 county code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.STEP 5: Percent eligible county code for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of county code, set the percent of county code 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: Eligible contact information on the last day of DQ report monthUsing the MSIS IDs that meet the criteria from STEP 1, join to segment ELIGIBLE_CONTACT_INFORMATION ELG00004 by keeping records that satisfy the following criteria:1a. ELIGIBLE-ADDR-EFF-DATE <= last day of the DQ report month2a. ELIGIBLE-ADDR-END-DATE >= last day of the DQ report month OR missingOR1b. ELIGIBLE-ADDR-EFF-DATE is missing2b. ELIGIBLE-ADDR-END-DATE is missingSTEP 3: Non-missing county code for primary addressOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. ELIGIBLE-COUNTY-CODE non-missing2. ELIGIBLE_ADDRESS_TYPE = "01"STEP 4: Percent eligible county code for the current month1. For each distinct value of county code, 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 county code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.STEP 5: Percent eligible county code for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of county code, set the percent of county code 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
06/19/2024	3.27.0	EL-1-006-4	UPDATE	Longitudinal threshold	TBD	N/A
09/06/2023	3.12.0	EL-1-006-4	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: Eligible contact information on the last day of DQ report monthUsing the MSIS IDs that meet the criteria from STEP 1, join to segment ELIGIBLE_CONTACT_INFORMATION ELG00004 by keeping records that satisfy the following criteria:1a. ELIGIBLE-ADDR-EFF-DATE <= last day of the DQ report month2a. ELIGIBLE-ADDR-EFF-DATE >= last day of the DQ report month OR missingOR1b. ELIGIBLE-ADDR-EFF-DATE is missing2b. ELIGIBLE-ADDR-EFF-DATE is missingSTEP 3: Non-missing county code for primary addressOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. ELIGIBLE-COUNTY-CODE non-missing2. ELIGIBLE_ADDRESS_TYPE = "01"STEP 4: Percent eligible county code for the current month1. For each distinct value of county code, 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 county code 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 county code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.STEP 5: Percent eligible county code for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of county code, set the percent of county code 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: Eligible contact information on the last day of DQ report monthUsing the MSIS IDs that meet the criteria from STEP 1, join to segment ELIGIBLE_CONTACT_INFORMATION ELG00004 by keeping records that satisfy the following criteria:1a. ELIGIBLE-ADDR-EFF-DATE <= last day of the DQ report month2a. ELIGIBLE-ADDR-END-DATE >= last day of the DQ report month OR missingOR1b. ELIGIBLE-ADDR-EFF-DATE is missing2b. ELIGIBLE-ADDR-END-DATE is missingSTEP 3: Non-missing county code for primary addressOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. ELIGIBLE-COUNTY-CODE non-missing2. ELIGIBLE_ADDRESS_TYPE = "01"STEP 4: Percent eligible county code for the current month1. For each distinct value of county code, 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 county code 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 county code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.STEP 5: Percent eligible county code for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of county code, set the percent of county code 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