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Table 8 Multivariate logistic regression analysis of the influence of travel time with public transport on the utilization of gynecologists. n = 1172 participants (SAS proc. logistic)

From: Is there an association between spatial accessibility of outpatient care and utilization? Analysis of gynecological and general care

Predictor

β

SE β

p (α = 0.05)

eβ (odds ratio)

CI

2.5%

97.5%

Travel time with public transporta

      

 no connection

−0.1518

0.3557

.670

0.69

0.292

1.645

 t > 180 min

−0.2859

0.2821

.311

0.61

0.310

1.185

 120 min < t ≤ 180 min

0.0817

0.1844

.658

0.88

0.587

1.303

 60 min < t ≤ 120 min

0.1404

0.1867

.452

0.93

0.619

1.389

Age

−0.0405

0.00574

.000

0.96

0.950

0.971

Social class indexb

0.1286

0.0245

.000

1.14

1.084

1.193

Persons ≥18 years in the household (yes/no)

0.8394

0.3721

.024

2.32

1.116

4.800

  1. areference travel time by public transport t ≤ 60 min Abbreviations: β, regression coefficient; SE, standard error; CI confidence interval;, t, travel time; b Winkler social class index (Winkler, 1998, Winkler and Stolzenberg, 1999)