Table 3

Predictors of using EMS as FMC,* n=422

VariableOR95% CIp ValueR2 changeTotal R2
Block 1: Sociodemographics0.0080.010
 Gender, female0.640.37 to 1.100.11
 Age1.020.99 to 1.040.10
 Marital status, co-habiting1.090.71 to 1.670.70
 Education, >9 years0.920.59 to 1.450.73
Block 2: Comorbidities0.0530.071
 Atrial fibrillation3.811.14 to 12.740.03
 Myocardial infarction2.181.03 to 4.620.04
 Heart failure3.520.36 to 34.540.28
Block 3: Symptomatology0.1250.167
 Chest pain1.210.60 to 2.440.60
 Pain in the stomach0.350.14 to 0.870.02
 Radiating pain in the arm(s)1.530.94 to 2.470.08
 Cold sweat1.400.88 to 2.260.16
 Pain intensity, on the NRS1.100.99 to 1.240.08
 Symptom burden1.080.96 to 1.210.21
 Symptom interpretation, ie, from the heart1.601.02 to 2.520.04
Block 4: Contextual factors0.1270.169
 Alone when falling ill1.080.66 to 1.740.77
 Falling ill during a weekend1.150.73 to 1.810.55
 Symptom onset, between 18:00–6:001.150.74 to 1.780.54
  • Omnibus p Value <0.001.

  • *Regression conducted using hierarchical logistic regression.

  • EMS, Emergency Medical Services; FMC, first medical contact; NRS, numeric rating scale.