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Table 3 Odds ratios (ORs) and areas under the curve (AUCs) for hospitalization by continuity index

From: The effects of continuity of care on hospital utilization in patients with knee osteoarthritis: analysis of Nationwide insurance data

Index

No

Yes

Total

P-value†

Unadjusted OR

Adjusted ORa

AUCb

N*

%

N*

%

Total

306,581

98.3

5368

1.7

311,949

OR

95% CI

P-value

OR

95% CI

P-value

Most Frequent Provider Continuity (MFPC)

0.76–1.00

106,237

98.3

1892

1.7

108,129

<  0.001

1.00

   

1.00

   

0.894

0.51–0.75

31,733

95.2

1600

4.8

33,333

 

5.62

5.08

6.21

< 0.0001

0.97

0.81

1.17

0.781

 

0.26–0.50

17,135

92.7

1345

7.3

18,480

 

15.91

14.35

17.63

< 0.0001

2.38

1.98

2.85

< 0.0001

 

0.00–0.25

342

86.8

52

13.2

394

 

24.77

22.29

27.52

< 0.0001

3.02

2.50

3.64

< 0.0001

 

< 3 visits

151,134

99.7

479

0.3

151,613

 

47.97

35.36

65.10

< 0.0001

5.51

3.81

7.98

< 0.0001

 

Modified Modified Continuity Index (MMCI)

0.76–1.00

120,159

97.5

3144

2.5

123,303

<  0.001

1.00

   

1.00

   

0.893

0.51–0.75

21,436

94.9

1157

5.1

22,593

 

8.26

7.50

9.09

< 0.0001

0.58

0.48

0.71

< 0.0001

 

0.26–0.50

10,656

96.8

349

3.2

11,005

 

17.03

15.30

18.96

< 0.0001

1.33

1.09

1.64

0.006

 

0.00–0.25

3196

93.0

239

7.0

3435

 

10.33

8.99

11.88

< 0.0001

3.02

2.50

3.64

< 0.0001

 

< 3 visits

151,134

99.7

479

0.3

151,613

 

23.59

20.12

27.66

< 0.0001

5.28

4.21

6.61

< 0.0001

 

Continuity of Care (COC)

0.76–1.00

77,519

99.4

493

0.6

78,012

<  0.001

1.00

   

1.00

   

0.904

0.51–0.75

54,668

95.4

2652

4.6

57,320

 

2.01

1.77

2.28

< 0.0001

0.46

0.38

0.57

< 0.0001

 

0.26–0.50

21,894

93.0

1640

7.0

23,534

 

15.31

13.88

16.88

< 0.0001

2.55

2.10

3.10

< 0.0001

 

0.00–0.25

1366

92.9

104

7.1

1470

 

24.02

19.30

29.89

< 0.0001

10.49

8.18

13.46

< 0.0001

 

< 3 visits

151,134

99.7

479

0.3

151,613

 

23.63

21.33

26.19

< 0.0001

3.70

3.02

4.54

< 0.0001

 
  1. *Patient with overlapping records tallied as one patient (overlapping not allowed)
  2. †P for trend: Chi-square. aOdds ratio and 95% confidence intervals (CIs) were calculated from multiple logistic regression models
  3. It was adjusted by each continuity index (MFPC, MMCI, and COC) separately and all other independent variables due to multicollinearity between index
  4. bAUC (area under the receiver operating characteristic curve) means discrimination ability of the prediction model. It ranges from 0.5 to 1, with 1 indicating perfect discrimination