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Table 2 Results binary logistic regression on recognition of cognitive dysfunction by physicians

From: Recognition of cognitive dysfunction in hospitalised older patients: a flash mob study

Predictor variable

Univariable OR [95%CI]

Multivariable OR [95%CI]

Patient age (in years)

1.0 [0.98—1.04], P = 0.68

-

Patient gender

 Female

0.91 [0.59—1.41], P = 0.68

-

 Male

Reference level

 

Work experience physician (in years)

 

-

 < 5

Reference level

 

 5–10

1.10 [0.57—2.12], P = 0.78

 

 11–15

1.37 [0.36—5.23], P = 0.64

 

 > 15

1.17 [0.55—2.48], P = 0.68

 

Hospital type

 

-

 General

Reference level

 

 University

0.91 [0.41—2.03], P = 0.82

 

Medical department*

 Cardiology

0.27 [0.10—0.72], P < 0.01

0.36 [0.13—1.0], P = 0.05

 Gastroenterology & hepatology

0.19 [0.06—0.62], P < 0.01

0.25 [0.07—0.85], P = 0.03

 Internal Medicine

0.30 [0.11—0.81], P = 0.02

0.35 [0.12—0.96], P = 0.04

 Neurology

0.60 [0.22—1.63], P = 0.32

0.72 [0.26—2.02], P = 0.53

 Orthopedics

0.38 [0.12—1.19], P = 0.1

0.41 [0.13—1.34], P = 0.14

 Pulmonary Medicine

0.22 [0.06—0.77], P = 0.02

0.26 [0.07—0.93], P = 0.04

 Surgery

0.27 [0.10—0.72], P < 0.01

0.37 [0.13—1.02], P = 0.05

 Geriatrics

Reference level

Reference level

Mini-Cog score

 0

Reference level

Reference level

 1

0.35 [0.19—0.64], P < 0.001

0.36 [0.19—0.69], P < 0.01

 2

0.31 [0.18—0.54], P < 0.001

0.34 [0.19—0.59], P < 0.001

  1. Abbreviations: OR Odds ratio, 95%CI = 95% Confidence interval, AIC Akaike information criterion
  2. Multilevel regression analysis showed no difference between hospitals: model with random intercept of hospitals AIC = 451.9; model without random intercept of hospitals AIC = 450.1
  3. * Medical departments with less than 15 included patients were excluded from the analysis. Adding this variable did not improve the multivariable regression model (AIC)