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Table 1 Median chance-corrected concordance (%), cause-specific mortality fraction accuracy for 6 methods across 500 splits by age and health care experience

From: Using verbal autopsy to measure causes of death: the comparative performance of existing methods

 

Tariff

SSP

CCC

CSMF accuracy

CCC

CSMF accuracy

Median

95% CI

Median

95% CI

Median

95% CI

Median

95% CI

Adult

No HCE

37.8

(37.6, 37.9)

0.717

(0.711, 0.721)

41.4

(41.1, 41.6)

0.715

(0.709, 0.720)

HCE

50.5

(50.2, 50.7)

0.77

(0.766, 0.775)

54.1

(53.9, 54.3)

0.764

(0.760, 0.769)

Child

No HCE

44.6

(44.2, 45.0)

0.744

(0.736, 0.751)

44.9

(44.5, 45.2)

0.74

(0.735, 0.746)

HCE

52.5

(52.1, 53.0)

0.783

(0.776, 0.786)

52.1

(51.7, 52.4)

0.768

(0.762, 0.774)

Neonate

No HCE

44.6

(44.2, 44.9)

0.809

(0.801, 0.817)

48.2

(47.9, 48.6)

0.778

(0.768, 0.787)

HCE

47.3

(46.9, 47.7)

0.817

(0.809, 0.824)

50.3

(50.1, 50.7)

0.79

(0.781, 0.801)

Cont’d

 

RF

PCVA

CCC

CSMF accuracy

CCC

CSMF accuracy

Median

95% CI

Median

95% CI

Median

95% CI

Median

95% CI

Adult

No HCE

37.2

(37.0, 37.4)

0.708

(0.705, 0.712)

29.1

(28.9, 29.3)

0.638

(0.632, 0.644)

HCE

49.2

(49.0, 49.4)

0.769

(0.766, 0.774)

42.2

(41.8, 42.5)

0.68

(0.673, 0.687)

Child

No HCE

44.6

(44.1, 44.9)

0.715

(0.706, 0.721)

33.5

(33.2, 33.7)

0.63

(0.615, 0.637)

HCE

50.2

(49.7, 50.5)

0.739

(0.729, 0.748)

44.5

(44.1, 45.2)

0.678

(0.671, 0.685)

Neonate

No HCE

47.2

(46.9, 47.5)

0.769

(0.759, 0.779)

25.5

(25.2, 26.0)

0.692

(0.682, 0.701)

HCE

50

(49.8, 50.4)

0.793

(0.779, 0.802)

29.3

(28.7, 29.7)

0.719

(0.707, 0.734)

Cont’d

 

KL

InterVA

CCC

CSMF accuracy

CCC

CSMF accuracy

Median

95% CI

Median

95% CI

Median

95% CI

Median

95% CI

Adult

No HCE

  

0.672

(0.667, 0.676)

23.4

(23.3, 23.6)

0.611

(0.605, 0.620)

HCE

  

0.688

(0.682, 0.692)

23.8

(23.6, 24.0)

0.625

(0.617, 0.632)

Child

No HCE

  

0.674

(0.668, 0.680)

29.6

(29.3, 29.9)

0.514

(0.506, 0.526)

HCE

  

0.69

(0.683, 0.696)

30.3

(30.0, 30.6)

0.52

(0.510, 0.529)

Neonate

No HCE

  

0.808

(0.796, 0.817)

20

(19.8, 20.4)

0.627

(0.602, 0.641)

HCE

  

0.81

(0.799, 0.819)

19.4

(19.2, 19.8)

0.629

(0.606, 0.648)

King-Lu (KL) does not estimate individual causes so chance-corrected concordance and Cohen's kappa cannot be calculated.

  1. Table 1 shows chance-corrected concordance (CCC), and cause-specific mortality fraction (CSMF) accuracy for all methods across 500 splits by age and health care experience for adults, children, and neonates. CI, confidence interval; KL, King-Lu; PCVA, physician-certified VA; RF, Random Forest; SSP, Simplified Symptom Pattern; VA, verbal autopsy.