TABLE 3.
Spearman Correlation Coefficients and Percentage of Exact Agreement Between Patient-Level MCS and MRCI
| Record count subset | HP | JHHS | ||||
|---|---|---|---|---|---|---|
| Spearman rhoa | % Exact | n (%) | Spearman rhoa | % Exact | n (%) | |
| Full sample | 0.572 | 86.2 | 45,780 (100.0) | 0.627 | 76.5 | 28,589 (100.0) |
| eHigh-cHigh | 0.500 | 79.3 | 13,866 (30.3) | 0.500 | 75.2 | 10,812 (37.8) |
| eLow-cLow | 0.284 | 90.7 | 19,351 (42.3) | 0.391 | 76.0 | 12,042 (42.1) |
| eHigh-cLow | 0.409 | 82.0 | 3,627 (7.9) | 0.209 | 77.7 | 2,507 (8.8) |
| eLow-cHigh | 0.156 | 88.8 | 8,936 (19.5) | 0.066 | 81.8 | 3,228 (11.3) |
| All similar | 0.796 | 85.9 | 33,217 (72.6) | 0.779 | 75.6 | 22,854 (79.9) |
| All dissimilar | −0.382 | 86.8 | 12,563 (27.4) | −0.396 | 80.0 | 5,735 (20.1) |
| Exclude eLow-cHigh | 0.764 | 85.6 | 36,844 (80.5) | 0.734 | 75.8 | 25,361 (88.7) |
Subsets of patients were identified as having high or low (partitioned at the 50th percentile) medication counts using either EHR (e) or claims (c) records. Similar and dissimilar subsets were defined as instances in which EHR and claims were both or differentially low and high, hence the subset convention (eg, eHigh-cHigh, eHigh-cLow). According to Hartman (1977) and Steimler (2004), values between 75% and 90% demonstrate an acceptable level of agreement and not a strong agreement.
a Indicates test significance at P < 0.001.
EHR = electronic health record; HP = HealthPartners; JHHS = Johns Hopkins Health System; MCS = medication complexity score (novel measure developed by this study, calculated from pharmacy claims data); MRCI = Medication Regimen Complexity Index (established measure calculated from electronic health records).