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Measure Name | % distinct SUBMITTING-STATE-PROV-IDs with only missing values in any active segment: PROV-LEGAL-NAME (PRV00002) |
---|---|
File Type | PRV |
Measure ID | MIS-11-009-9 |
Measure Type | Non-Claims Percentage |
Content area | MIS |
Validation Type | Inferential |
---|
Measure Priority | Medium |
---|---|
Focus Area | N/A |
Category | Provider identifiers |
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-LEGAL-NAME |
---|---|
DD Data Element Number | PRV023 |
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 |