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| Measure Name | % distinct SUBMITTING-STATE-PROV-IDs with only missing values in any active segment: LICENSE-OR-ACCREDITATION-NUMBER (PRV00004) |
|---|---|
| File Type | PRV |
| Measure ID | MIS-11-025-25 |
| Measure Type | Non-Claims Percentage |
| Content area | MIS |
| Validation Type | Inferential |
|---|
| Measure Priority | N/A |
|---|---|
| Focus Area | N/A |
| Category | N/A |
| Claim Type | N/A |
|---|---|
| Adjustment Type | N/A |
| Crossover Type | N/A |
| Minimum | N/A |
|---|---|
| Maximum | N/A |
| TA Minimun | |
| TA Maximum | |
| Longitudinal Threshold | N/A |
|
For TA
(for including in compliance training) |
No |
|
For TA
(Longitudinal) |
No |
| DD Data Element | LICENSE-OR-ACCREDITATION-NUMBER |
|---|---|
| DD Data Element Number | PRV069 |
| Annotation | Alphanumeric |
|---|---|
| Specification |
STEP 1: Any active record segment Keep all active records from segment (PRV000XX) 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 SUBMITTING-STATE-PROV-IDs identified in STEP 1, select those where Alphanumeric_Missing = 1 for all record segments for each particular SUBMITTING-STATE-PROV-ID STEP 4: Calculate percentage Divide the count of unique SUBMITTING-STATE-PROV-IDs from STEP 3 by the count of unique SUBMITTING-STATE-PROV-IDs from STEP 1 |