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Table 2 Multiple regression analyses: Prediction of outpatient service utilization by distance (minutes in public transportation between patient’s homes and outpatient clinics) and by available ecological variables of the communities

From: The gravitational force of mental health services: distance decay effects in a rural Swiss service area

 

Outpatient cases per capita

Outpatient visits per capita

Characteristic of the community

B (95% CI)

SE

β

p

B (95% CI)

SE

β

p

Constant

15.701 (−7.453, 37.059)

11.506

 

.171

39.852 (− 177.144, 242.107)

106.193

 

.711

Distance (travel time in minutes)

−0.108 (−0.154, − 0.062)

0.023

− 0.372

<.001

− 0.816 (−1.214, − 0.453)

0.196

− 0.367

.001

Age (mean in years)

− 0.110 (− 0.352, 0.152)

0.127

− 0.056

.379

0.541 (− 1.277, 2.551)

0.970

0.036

.579

Female (%)

− 7.089 (−50.236, 37.843)

22.470

− 0.024

.746

−10.065 (− 416.011, 391.978)

207.621

− 0.004

.959

Immigrants (%)

5.332 (0.390, 10.363)

2.518

0.140

.039

9.794 (−26.440, 44.041)

17.842

0.034

.589

Taxes (mean per inhabitant in Swiss Francs)

0.000 (−0.001, 0.000)

0.000

−0.082

.213

−.006 (−0.011, − 0.001)

.003

−.0128

.025

  1. Outpatient cases per capita: R2 = .206, p < .001. Outpatient visits per capita: R2 = .142, p < .001
  2. B = Regression weight
  3. 95% confidence intervals (CI) were estimated with bootstrap methods (based on k = 5000 samples)
  4. SE = Standard error
  5. β = Standardized regression weight