TABLE 4

Sensitivity and Specificity for PMCA in SCH Discharge Data and WA-Medicaid Claims Data

Approach AlgorithmC-CDNC-CDWithout CD
SensitivitySpecificitySensitivitySpecificitySensitivitySpecificity
SCH (n = 700) n = 350 n = 350 n = 100 n = 100 n = 250 n = 250
 Least PMCA a 84 (80–88)92 (89–94)41 (32–51)92 (85–96)96 (93–98)90 (86–93)
 More PMCA73 (68–77)96 (93–98)19 (13–28)94 (88–97)100 (99–100)72 (66–77)
 Most PMCA66 (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 PMCA91 (87–94)79 (74–83)37 (28–47)88 (80–93)69 (63–74)94 (90–96)
 More PMCA a 89 (85–92)85 (81–89)45 (36–55)91 (84–95)80 (75–85)91 (87–94)
 Most PMCA78 (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.