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| Measure Name | % distinct SUBMITTING-STATE-PROV-IDs with only missing values in any active segment: PROV-TAXONOMY-CLASSIFICATION-END-DATE (PRV00006) |
|---|---|
| File Type | PRV |
| Measure ID | MIS-11-041-41 |
| Measure Type | Non-Claims Percentage |
| Content area | MIS |
| Validation Type | Inferential |
|---|
| Measure Priority | High |
|---|---|
| Focus Area | N/A |
| Category | Provider characteristics |
| 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 | PROV-TAXONOMY-CLASSIFICATION-END-DATE |
|---|---|
| DD Data Element Number | PRV091 |
| Annotation | Numeric |
|---|---|
| Specification |
STEP 1: Any active record segment Keep all active records from segment (PRV000XX) STEP 2: Numeric missing flag Create a binary flag called Numeric_Missing that is equal to 1 when 1. [DATA-ELEMENT-NAME] does not contain any digit 1-9 STEP 3: All numeric missing Of the SUBMITTING-STATE-PROV-IDs identified in STEP 1, select those where Numeric_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 |