Table 2

Univariable analysis to predict total diagnostic resource consumption through a linear regression model in the 473 medical consultations (z-transformed)

Total diagnostic resourcesCoefficient95% CIP value
Patient’s condition (chronic)
 Age, older32.4(−30.8 to 95.5)0.315
 Sex, male6.2(−57 to 69.5)0.846
 Case severity index, more severe85.7(23 to 148.5)0.008
Patient’s condition (acuity)
 Triage category, more urgent186.8(125.9 to 247.8)<0.001
 Resuscitation bay, yes135.6(73.5 to 197.6)<0.001
 Systolic BP <90 mm Hg, yes70(7.1 to 132.9)0.029
 HR deviation, >110 or <50 bpm, yes−36.4(−99.5 to 26.7)0.258
 Oxygen saturation <90%, yes8.8(−54.4 to 72)0.785
Physician's characteristics
 Experienced, less40.5(−22.6 to 103.6)0.208
Context characteristics
 Tiredness, more20.1(−43.1 to 83.2)0.533
 Workload NEDOCS (objective), higher−9.7(−72.9 to 53.5)0.763
 Workload (subjective), higher28.3(−34.8 to 91.5)0.378
 Night admission, yes−19.4(−82.6 to 43.8)0.546
 Weekend consultation, no−17.8(−81 to 45.4)0.581
Subjective case difficulty
 Insecurity, higher101.9(39.4 to 164.5)0.001
 Difficulty, higher175.5(114.3 to 236.7)<0.001
 Familiarity, less familiar126.7(64.5 to 188.9)<0.001
  • NEDOCS, National Emergency Department Overcrowding Score.