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Table 3 Agreement between Self-reported Co-Morbidity and Administrative Measure of Co-Morbidity

From: Data enhancement for co-morbidity measurement among patients referred for sleep diagnostic testing: an observational study

Co-morbidity

Self-Report

Administrative

Algorithms

Present in Both Data Sources

Present in Either Data Source

Kappa†

(95% CI)

McNemar's††

p-value

Hypertension

n (%)

754

(35.1)

714

(33.2)

539

(25.1)

929

(43.2)

0.60

(0.52, 0.63)

0.0428

Diabetes

n (%)

289

(13.4)

238

(11.1)

214

(10.0)

313

(14.6)

0.79

(0.75, 0.83)

<0.001

Asthma

n (%)

358

(16.7)

247

(11.5)

168

(7.8)

437

(20.3)

0.49

(0.43, 0.54)

<0.001

Myocardial Infarction

n (%)

194

(9.0)

53

(2.5)

37

(1.7)

210

(9.8)

0.27

(0.20, 0.35)

<0.001

Heart Failure

n (%)

72

(3.4)

29

(1.3)

15

(0.7)

86

(4.0)

0.28

(0.17, 0.40)

<0.001

Stroke

n (%)

62

(2.9)

9

(0.4)

8

(0.4)

63

(2.9)

0.22

(0.09, 0.35)

<0.001

No defined Algorithm

Self-Report

No defined Algorithm*

Both

Either

Kappa

(95% CI)

McNemar's

p value

Depression

n (%)

581

(27.0)

573

(26.7)

364

(16.9)

790

(36.8)

0.50

(0.45, 0.54)

0.6983

Cardiac Arrhythmia

n (%)

123

(5.7)

654

(30.4)

86

(4.0)

691

(32.2)

0.14

(0.10, 0.17)

<0.001

COPD

n (%)

67

(3.1)

77

(3.6)

24

(1.1)

120

(5.6)

0.31

(0.21, 0.41)

0.3074

  1. * At least one physician claim or hospitalization diagnosis in 2 years.
  2. † The Kappa statistic is an index of the degree of agreement between two raters.
  3. †† McNemar's test of paired proportions is a test of marginal homogeneity that compares the agreement between discordant pairs.