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Table 3 Results of the simple and multiple negative binomial regression analyses for the outcome crude and age-standardized incidence of sepsis (explicit) per 100.000 population

From: Association between sepsis incidence and regional socioeconomic deprivation and health care capacity in Germany – an ecological study

Predictor

Simple negative binomial regression

Multiple negative binomial regression

Multiple negative binomial regression (Full model)

EC (95% CI)

p

R2

EC (95% CI)

p

R2

EC (95% CI)

p

R2

PANEL A: Outcome - crude sepsis incidence

 Mean age

12.6 (9.4, 15.8)

< 0.001

0.140

Socioeconomic indicators

 Unemployment rate

2.5 (0.1, 4.9)

0.040

0.011

−2.1 (−5.3, 1.1)

0.196

0.057

−0.3 (−3.9, 3.4)

0.888

0.078

 Net household incomea,c

−5.1 (−8.0, − 2.2)

0.001

0.030

−4.0 (− 8.0, − 0.1)

0.046

 

−1.6 (− 5.8, 2.7)

0.477

 

 Rate of school leavers w/o certificate

6.5 (3.5, 9.6)

< 0.001

0.047

5.9 (2.4, 9.4)

0.001

 

4.9 (1.4, 8.5)

0.006

 

Indicators of medical infrastructure

 Hospital beds/1000 population

1.2 (−0.4, 2.8)

0.142

0.057

2.0 (−0.5, 4.6)

0.120

0.096

1.8 (−0.8, 4.4)

0.164

 

 GPs/100,000 population

0.0 (−0.2, 0.3)

0.891

0.000

0.2 (−0.3, 0.6)

0.456

 

0.0 (−0.4, 0.5)

0.858

 

 Distance to the next pharmacyb

13.2 (4.6, 21.7)

0.002

0.023

21.6 (10.1, 33.0)

< 0.001

 

16.0 (3.9, 28.0)

0.007

 

PANEL B: Outcome - age-adjusted sepsis incidence

Socioeconomic indicators

 Unemployment rate

−0.1 (−2.3, 2.0)

0.901

0.000

−3.0 (−5.9, 0.0)

0.050

0.020

−2.9 (−6.3, 0.5)

0.095

0.030

 Net household incomea,c

−2.0 (−4.7, 0.8)

0.161

0.005

−2.8 (−6.5, 0.8)

0.133

 

−2.0 (− 6.0, 2.0)

0.330

 

 Rate of school leavers w/o certificate

2.8 (0.0, 5.5)

0.045

0.010

3.3 (0.1, 6.5)

0.041

 

2.9 (−0.4, 6.2)

0.078

 

Indicators of medical infrastructure

 Hospital beds/1000 population

1.1 (−0.4, 2.6)

0.133

0.056

1.4 (− 1.0, 3.8)

0.245

0.068

1.4 (−1.0, 3.8)

0.248

 

 GPs/100,000 population

0.1 (−0.1, 0.3)

0.495

0.001

0.1 (−0.3, 0.5)

0.565

 

0.1 (−0.3, 0.5)

0.668

 

 Distance to the next pharmacyb

5.4 (−2.1, 12.9)

0.152

0.005

11.1 (1.0, 21.2)

0.026

 

6.4 (−4.4, 17.1)

0.238

 
  1. Abbreviations: EC Expected change, w/o without, CI Confidence Interval
  2. a Increase per 100 Euro
  3. b Increase per 1000 m
  4. c Simple and multiple negative binomial regression models include net household income as a predictor are based on 399 instead of 401 German districts due to missing values for two districts (Soemmerda & Fuerth)