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Table 3 Results of binary logistic regression model of predictors for IHDs

From: Predictors and reasons for inappropriate hospitalization days for surgical patients in a tertiary hospital in Wuhan, China: a retrospective study

Variable β Coefficient SE OR 95 % CI p
IHDs before surgery
  Constant -0.522 0.179 0.593 - 0.003
Age (reference: under 50 years)
  50–59 years 0.378 0.252 1.459 [0.891, 2.391] 0.134
  60–69 years 0.774 0.295 2.167 [1.217, 3.862] 0.009
  Over 69 years -0.143 0.544 0.866 [0.298, 2.517] 0.792
  Overlength of stay 2.609 0.414 13.584 [6.039, 30.556] 0.000
IHDs after surgery
  Constant -2.673 0.691 0.069 - 0.000
  Use of ventilators 0.488 0.353 1.629 [0.815, 3.257] 0.167
  Admission from outpatient 1.843 0.679 6.315 [1.669, 23.897] 0.007
  Multiple diagnosis 0.501 0.221 1.65 [1.07, 2.544] 0.023
  Higher surgical incision level 0.696 0.226 2.007 [1.288, 3.127] 0.002
  Overlength of stay 1.805 0.329 6.08 [3.191, 11.585] 0.000
IHDs for whole hospitalization
  Constant -1.01 0.577 0.364 - 0.08
Age (reference: under 50 years)
  50–59 years 0.502 0.294 1.653 [0.929, 2.94] 0.087
  60–69 years 0.932 0.372 2.541 [1.226, 5.264] 0.012
  Over 69 years 0.693 0.667 2 [0.541, 7.386] 0.299
  Admission from outpatient 1.603 0.56 5.142 [1.421, 18.614] 0.004
  Higher surgical incision level 0.391 0.262 1.479 [0.884, 2.472] 0.136
  Overlength of stay 2.402 0.741 11.041 [2.586, 47.138] 0.001
  1. Notes: SE Standard error; OR Odds ratio; CI Confidence interval