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Table 1 Inter-rater reliability for stroke sub-type, demographic, clinical features, and pre-hospital data.

From: Inter-rater reliability of data elements from a prototype of the Paul Coverdell National Acute Stroke Registry

Variable (Item Number)

Dichotomous response option

N

PI*

Kappa (95% LCL)†

BI‡

Coverdell stroke sub-type (1.0)

Ischemic Stroke

104

0.24

0.61 (0.46)

-0.07

 

Intracranial hemorrhage (ICH)

104

-0.86

0.93 (0.79)

0.01

 

Subarachnoid hemorrhage (SAH)

104

-0.89

0.90 (0.72)

0.01

 

Transient ischemic attack (TIA)

104

-0.64

0.70 (0.52)

-0.01

Gender (1.2)

Female

104

0.16

0.98 (0.94)

0.01

Race (1.3)

White

104

0.40

0.55 (0.38)

0.13

 

Black or African American

104

-0.66

0.97 (0.90)

0.01

 

Not documented (missing)

104

-0.76

0.07 (-0.13)

-0.11

Health Insurance status (1.7)

Medicare

104

0.43

0.83 (0.72)

0.03

 

Medicaid

104

-0.86

0.50 (0.18)

- 0.03

 

Self-pay

104

-0.89

0.52 (0.15)

0.01

Arrival mode (2.2)

Ambulance

104

-0.40

0.82 (0.69)

0.00

 

Other

104

-0.14

0.59 (0.43)

-0.01

 

Hospital transfer

104

-0.74

0.70 (0.50)

0.03

 

Not documented (missing)

104

-0.72

0.40 (0.15)

-0.01

Direct admit (2.2b)

Yes

98

-0.88

0.47 (0.17)

0.04

  1. * Prevalence Index (PI) is a measure of the true prevalence of the trait. PI is 0 when concordant responses are equally balanced between the 2 raters. A large negative PI indicates trait is rarely found, while a large positive PI indicates trait is common. Variables with extreme distributions i.e., PI < -0.90 or > 0.90 are not shown. 95% LCL = 95% Lower Confidence Limit.
  2. Bias Index (BI) is a measure of the relative bias between the hospital and audit abstractors. BI is 0 when there is no bias. Positive BI values indicate a bias toward the hospital abstractor, negative BI values indicates a bias towards the audit abstracter. BI values > 0.10 or < -0.10 indicate substantial bias.