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| Measure Name | % of MSIS IDs enrolled in the past year with at least three gaps in enrollment over that time | 
|---|---|
| File Type | ELG | 
| Measure ID | EL-6-041-41 | 
| Measure Type | Non-Claims Percentage | 
| Content area | ELG | 
| Validation Type | Inferential | 
|---|
| Measure Priority | High | 
|---|---|
| Focus Area | Enrollment monitoring | 
| Category | Beneficiary eligibility | 
| Claim Type | N/A | 
|---|---|
| Adjustment Type | N/A | 
| Crossover Type | N/A | 
| 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 | 
| DD Data Element | ENROLLMENT-TYPE • MSIS-IDENTIFICATION-NUM • ENROLLMENT-END-DATE • ENROLLMENT-EFF-DATE | 
|---|---|
| DD Data Element Number | ELG252 • ELG251 • ELG254 • ELG253 | 
| Annotation | Calculate the percentage of MSIS IDs enrolled in the past 12 months with at least three gaps in enrollment during that time period | 
|---|---|
| Specification | 
                                                
                                                    STEP 1: Enrolled at any time within the past 12 months 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 >= 12 months prior to last day of the DQ report month OR missing 3. MSIS-IDENTIFICATION-NUM is not missing STEP 2: Enrollment Type is Medicaid or CHIP Using the MSIS IDs that meet the criteria from STEP 1, further refine the population by keeping records with: 1. ENROLLMENT-TYPE = "1" or "2" STEP 3: Non-duplicate enrollment spans Duplicate records are dropped if the following three data elements are the same: MSIS-IDENTIFICATION-NUM, ENROLLMENT-EFF-DATE, and ENROLLMENT-END-DATE STEP 4: Sort records chronologically for each MSIS ID For each MSIS ID identified in STEP 2, sort records chronologically by ENROLLMENT-EFF-DATE and ENROLLMENT-END-DATE STEP 5: Maximum enrollment end date thus far For each combination of ENROLLMENT-EFF-DATE, and ENROLLMENT-END-DATE for a given MSIS ID, set Max_End_Date_Thus_Far = the maximum value for ENROLLMENT-END-DATE for that combination STEP 6: Total record count by MSIS ID For each MSIS ID identified in STEP 2, set Tot_Rec = Count of unique combinations of ENROLLMENT-EFF-DATE and ENROLLMENT-END-DATE STEP 7: Previous enrollment end date For each combination of ENROLLMENT-EFF-DATE, and ENROLLMENT-END-DATE for a given MSIS ID, set Prev_Enrollment_End_Date = the ENROLLMENT-END-DATE value immediately prior to the ENROLLMENT-END-DATE value for that combination STEP 8: Enrollment span start For each combination of ENROLLMENT-EFF-DATE, and ENROLLMENT-END-DATE for a given MSIS ID, set Enrollment_Span_Start = "1" as follows: 1a. Tot_Rec = 1 for the MSIS ID OR 1b. ENROLLMENT-EFF-DATE is greater than Prev_Enrollment_End_Date ELSE Set Enrollment_Span_Start = "0" STEP 9: Total count of noncontiguous enrollment spans For each MSIS ID that meets the criteria from STEP 2, set Tot_Enrollment_Span = Count of rows where Enrollment_Span_Start = "1" STEP 10: Count of MSIS IDs with three or more enrollment gaps For each MSIS ID that meets the criteria from STEP 2, further refine the population by keeping records where Tot_Enrollment_Span is greater than 3. Note that since gaps exist between enrollment spans, there must be at least 4 noncontiguous enrollment spans to equal 3 enrollment gaps for a given MSIS ID. STEP 11: Calculate percentage for measure Divide the count of MSIS IDs from STEP 10 by the count of MSIS IDs from STEP 2  |