Key Information

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

Validation Type	Longitudinal and inferential

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	0.5
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

Data Elements

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