Skip to main content

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