EL-1-007-5

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TMSIS Dataguide

Medicaid.gov

Version:

EL-1-007-5

Data Quality Measure

Last updated

Key Information

Measure Name	Index of dissimilarity - ZIP code
File Type	ELG
Measure ID	EL-1-007-5
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	0.1
Longitudinal Threshold	N/A
For TA (for including in compliance training)	TA- Inferential
For TA (Longitudinal)	No

Data Elements

DD Data Element	ELIGIBLE-ZIP-CODE
DD Data Element Number	ELG071

Annotation	N/A
Specification	N/A

Published Date	Data Guide Version	DQM	Action	Field	Before	After
11/20/2025	4.0.22	EL-1-007-5	UPDATE	Annotation	Calculate the index of dissimilarity measure - zip code	N/A
11/20/2025	4.0.22	EL-1-007-5	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 zip code for primary addressOf the MSIS IDs that meet the criteria from STEP 2, further refine the population by keeping records with: 1. ELIGIBLE-ZIP-CODE non-missing2. ELIGIBLE_ADDRESS_TYPE = "01"STEP 4: Percent eligible zip code for the current month1. For each distinct value of zip 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 zip code, calculate Percent_Current_Month as the ratio of Numerator_Count_By_Value over Denominator_Count.STEP 5: Percent zip code for the previous monthRepeat STEP 1 through STEP 4 for the previous month. For each distinct value of zip code, set the percent of zip 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	N/A
04/24/2025	4.0.7	EL-1-007-5	ADD	N/A		Created