TABLE 4.
Sensitivity and Specificity for PMCA in SCH Discharge Data and WA-Medicaid Claims Data
| Approach Algorithm | C-CD | NC-CD | Without CD | |||
|---|---|---|---|---|---|---|
| Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | Specificity | |
| SCH (n = 700) | n = 350 | n = 350 | n = 100 | n = 100 | n = 250 | n = 250 |
| Least PMCAa | 84 (80–88) | 92 (89–94) | 41 (32–51) | 92 (85–96) | 96 (93–98) | 90 (86–93) |
| More PMCA | 73 (68–77) | 96 (93–98) | 19 (13–28) | 94 (88–97) | 100 (99–100) | 72 (66–77) |
| Most PMCA | 66 (61–71) | 96 (93–98) | 1 (0–5) | 99 (95–100) | 100 (99–100) | 57 (51–63) |
| WA-Medicaid (n = 678) | n = 329 | n = 329 | n = 100 | n = 100 | n = 249 | n = 249 |
| Least PMCA | 91 (87–94) | 79 (74–83) | 37 (28–47) | 88 (80–93) | 69 (63–74) | 94 (90–96) |
| More PMCAa | 89 (85–92) | 85 (81–89) | 45 (36–55) | 91 (84–95) | 80 (75–85) | 91 (87–94) |
| Most PMCA | 78 (73–82) | 90 (86–93) | 16 (10–24) | 95 (89–98) | 95 (92–97) | 75 (69–80) |
The n values are the number of children from the gold standard sample included in the designated category. Data are given as % (95% confidence interval).
a
Recommended algorithm.