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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.