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| Measure Name | % distinct STATE-PLAN-ID-NUMs with only missing values in any active segment: MANAGED-CARE-SERVICE-AREA-NAME (MCR00004) |
|---|---|
| File Type | MCR |
| Measure ID | MIS-10-012-12 |
| Measure Type | Non-Claims Percentage |
| Content area | MIS |
| Validation Type | Inferential |
|---|
| Measure Priority | High |
|---|---|
| Focus Area | N/A |
| Category | Managed care file |
| Claim Type | N/A |
|---|---|
| Adjustment Type | N/A |
| Crossover Type | N/A |
| Minimum | 0 |
|---|---|
| Maximum | 0.02 |
| TA Minimun | 0 |
| TA Maximum | 0.02 |
| Longitudinal Threshold | N/A |
|
For TA
(for including in compliance training) |
TA- Inferential |
|
For TA
(Longitudinal) |
No |
| DD Data Element | MANAGED-CARE-SERVICE-AREA-NAME |
|---|---|
| DD Data Element Number | MCR058 |
| Annotation | Alphanumeric |
|---|---|
| Specification |
STEP 1: Any active record segment Keep all active records from segment (MCR0000X) STEP 2: Alphanumeric missing flag Create a binary flag called Alphanumeric_Missing that is equal to 1 when 1. [DATA-ELEMENT-NAME] does not contain any alpha character (A-Z or a-z) OR any digit 1-9 STEP 3: All alphanumeric missing Of the STATE-PLAN-ID-NUMs identified in STEP 1, select those where Alphanumeric_Missing = 1 for all record segments for each particular STATE-PLAN-ID-NUM STEP 4: Calculate percentage Divide the count of unique STATE-PLAN-ID-NUMs from STEP 3 by the count of unique STATE-PLAN-ID-NUMs from STEP 1 |