Table 3.
Completeness and Concordance of Demographic Data Elements between the Electronic Health Record and the Knowledge Program
| TOTAL N1= 250 | COMPLETENESS | CONCORDANCE | ||
|---|---|---|---|---|
| EHR | KP | % EHR ONLY, (#EHR – #KP) | % MATCH (Nm2), INCLUDE BOTH MISSING CASE | |
| % OF TOTAL RECORDS (# PRESENT) | % OF TOTAL RECORDS (# PRESENT) | |||
| Date of Birth | 100 (250) | 99.6 (249) | 0.4 (1) | 99.6 (249) |
| Date of Death | 1.2 (3) | 3.2 (8) | −2 (−5) | 98.0 (245) |
| Sex | 100 (250) | 99.6 (249) | 0.4 (1) | 99.6 (249) |
| Race | 100 (250) | 99.2 (248) | 0.8 (2) | 98.8 (247) |
| Marital Status | 100 (250) | 98.4 (246) | 1.6 (4) | 98.4 (246) |
| City | 100 (250) | 99.6 (249) | 0.4 (1) | 98.8 (247) |
| State | 100 (250) | 99.6 (249) | 0.4 (1) | 99.6 (249) |
| ZIP Code | 100 (250) | 99.6 (249) | 0.4 (1) | 98.4 (246) |
Notes: Includes EHR data extracted from nonstructured fields
EHR= electronic health record, KP= Knowledge Program
1
N, total number of observations
2
Nm, the number of matches between EHR and KP data, including cases where both are missing