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. 2024 Jan 16;24:66. doi: 10.1186/s12877-023-04588-5

Table 2.

Results binary logistic regression on recognition of cognitive dysfunction by physicians

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

Abbreviations: OR Odds ratio, 95%CI = 95% Confidence interval, AIC Akaike information criterion

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

* Medical departments with less than 15 included patients were excluded from the analysis. Adding this variable did not improve the multivariable regression model (AIC)