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Table 2 Comparisons of different Symptom Pattern variants based on 100 splits for the adult, child, and neonate modules, including use of health care experience information

From: Simplified Symptom Pattern Method for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards

Adult module:

    

Cluster

Single/Multiple

Symptom

Prior

CSMF accuracy (95% uncertainty interval [UI])

Chance-corrected concordance (%) (95% UI)

10

Single

Top 40

Uniform

0.726 (0.714, 0.737)

47.8 (47.4, 48.2)

10

Single

All

Uniform

0.703 (0.687, 0.718)

45.6 (44.9, 46.3)

10

Single

Top 40

King-Lu

0.653 (0.640, 0.672)

42.6 (42.1, 43.4)

10

Single

All

King-Lu

0.311 (0.291, 0.349)

18.4 (17.4, 20.3)

10

Multiple

All

Uniform

0.714 (0.697, 0.721)

46.1 (45.7, 46.5)

10

Multiple

All

King-Lu

0.708 (0.696, 0.719)

46.0 (45.6, 46.6)

1

Single

Top 40

Uniform

0.668 (0.652, 0.681)

42.7 (42.2, 43.0)

1

Single

All

Uniform

0.632 (0.620, 0.643)

40.3 (39.8, 40.5)

1

Single

Top 40

King-Lu

0.163 (0.147, 0.212)

9.3 (8.3, 11.0)

1

Single

All

King-Lu

0.043 (0.031, 0.057)

0.4 (0.0, 0.9)

1

Multiple

All

Uniform

0.651 (0.636, 0.665)

39.2 (38.4, 39.4)

1

Multiple

All

King-Lu

0.646 (0.630, 0.664)

38.6 (38.1, 39.2)

Child module:

    

Cluster

Single/Multiple

Symptom

Prior

CSMF accuracy (95% UI)

Chance-corrected concordance (%) (95% UI)

10

Single

Top 40

Uniform

0.718 (0.699, 0.738)

45.2 (44.4, 46.2)

10

Single

All

Uniform

0.740 (0.727, 0.757)

50.9 (50.1, 51.8)

10

Single

Top 40

King-Lu

0.633 (0.617, 0.666)

40.4 (39.2, 40.9)

10

Single

All

King-Lu

0.469 (0.453, 0.516)

36.8 (35.4, 38.0)

10

Multiple

All

Uniform

0.749 (0.736, 0.766)

51.8 (50.7, 52.9)

10

Multiple

All

King-Lu

0.759 (0.745, 0.771)

52.1 (51.5, 53.0)

1

Single

Top 40

Uniform

0.696 (0.676, 0.715)

44.4 (44.0, 45.5)

1

Single

All

Uniform

0.705 (0.692, 0.727)

46.9 (45.6, 47.5)

1

Single

Top 40

King-Lu

0.263 (0.228, 0.280)

16.6 (14.2, 17.7)

1

Single

All

King-Lu

0.125 (0.104, 0.161)

3.6 (2.3, 4.5)

1

Multiple

All

Uniform

0.716 (0.701, 0.733)

47.9 (46.5, 48.7)

1

Multiple

All

King-Lu

0.723 (0.705, 0.741)

47.9 (47.1, 48.6)

Neonate module:

    

Cluster

Single/Multiple

Symptom

Prior

CSMF accuracy (95% UI)

Chance-corrected concordance (%) (95% UI)

10

Single

Top 40

Uniform

0.748 (0.730, 0.766)

29.7 (28.7, 30.6)

10

Single

All

Uniform

0.741 (0.720, 0.787)

31.7 (31.2, 33.0)

10

Single

Top 40

King-Lu

0.679 (0.647, 0.704)

27.9 (25.9, 28.5)

10

Single

All

King-Lu

0.603 (0.553, 0.624)

19.1 (18.0, 21.8)

10

Multiple

All

Uniform

0.732 (0.712, 0.745)

34.1 (32.8, 35.5)

10

Multiple

All

King-Lu

0.736 (0.711, 0.752)

33.6 (32.9, 35.5)

1

Single

Top 40

Uniform

0.663 (0.634, 0.691)

28.8 (27.4, 29.6)

1

Single

All

Uniform

0.604 (0.571, 0.639)

26.4 (25.2, 27.6)

1

Single

Top 40

King-Lu

0.425 (0.391, 0.462)

10.0 (9.2, 11.6)

1

Single

All

King-Lu

0.363 (0.325, 0.384)

0.0 (0.0, 0.5)

1

Multiple

All

Uniform

0.564 (0.550, 0.580)

29.5 (27.7, 30.4)

1

Multiple

All

King-Lu

0.565 (0.541, 0.591)

29.4 (27.8, 30.8)