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Table 2 Performance of selected algorithms to identify individuals with NF1

From: Development of algorithms to identify individuals with Neurofibromatosis type 1 within administrative data and electronic medical records in Ontario, Canada

Algorithm

True positive

True negative

False negative

False positive

Sensitivity (95% CI)

Specificity (95% CI)

PPV (95% CI)

NPV (95% CI)

EMR search

60

273,354

11

15

85 (74–92)

100 (100–100)

80 (69–88)

100 (100–100)

Billing algorithms

 CIHI

15

273,325

56

6

21 (12–31)

100 (100–100)

71 (52–91)

100 (100–100)

 CIHI or NARCS or SDS

22

273,321

49

10

31 (20–42)

100 (100–100)

69 (53–85)

100 (100–100)

 1 OHIP ever

65

125,703

6

147,628

92 (85–98)

46 (46–46)

0 (0–0.1)

100 (100–100)

 CIHI or 2 OHIP* ever

58

218,349

13

54,982

82 (73–91)

80 (80–80)

0.1 (0.1–0.1)

100 (100–100)

 CIHI or 4 OHIP in 3 y

45

246,079

26

27,252

90 (90–90)

63 (52–75)

0.2 (0.1–0.2)

100 (100–100)

 OHIP 225 & OHIP 758* ever

6

273,319

65

12

9 (2–15)

100 (100–100)

33 (12–55)

100 (100–100)

 CIHI or 2 OHIP* ever

55

221,560

16

51,771

70 (58–80)

81 (91–81)

0.1 (0.1–0.2)

100 (100–100)

  1. OHIP codes included: 192, 216, 225, 709, 758
  2. CIHI Canadian Institute for Health Information, EMR electronic medical record, NARCS national ambulatory care reporting system
  3. *Code billed by selected specialties (neurology, neurosurgery, pediatrics, genetics, plastic surgery and general surgery)