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. 2015 Apr 21;5(4):e007059. doi: 10.1136/bmjopen-2014-007059

Table 3.

Predictors of using EMS as FMC,* n=422

Variable OR 95% CI p Value R2 change Total R2
Block 1: Sociodemographics 0.008 0.010
 Gender, female 0.64 0.37 to 1.10 0.11
 Age 1.02 0.99 to 1.04 0.10
 Marital status, co-habiting 1.09 0.71 to 1.67 0.70
 Education, >9 years 0.92 0.59 to 1.45 0.73
Block 2: Comorbidities 0.053 0.071
 Atrial fibrillation 3.81 1.14 to 12.74 0.03
 Myocardial infarction 2.18 1.03 to 4.62 0.04
 Heart failure 3.52 0.36 to 34.54 0.28
Block 3: Symptomatology 0.125 0.167
 Chest pain 1.21 0.60 to 2.44 0.60
 Pain in the stomach 0.35 0.14 to 0.87 0.02
 Radiating pain in the arm(s) 1.53 0.94 to 2.47 0.08
 Cold sweat 1.40 0.88 to 2.26 0.16
 Pain intensity, on the NRS 1.10 0.99 to 1.24 0.08
 Symptom burden 1.08 0.96 to 1.21 0.21
 Symptom interpretation, ie, from the heart 1.60 1.02 to 2.52 0.04
Block 4: Contextual factors 0.127 0.169
 Alone when falling ill 1.08 0.66 to 1.74 0.77
 Falling ill during a weekend 1.15 0.73 to 1.81 0.55
 Symptom onset, between 18:00–6:00 1.15 0.74 to 1.78 0.54

Omnibus p Value <0.001.

*Regression conducted using hierarchical logistic regression.

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