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Table 4 Results of the simple and multiple negative binomial regression analyses for the outcome crude and age-adjusted incidence of sepsis (implicit) 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

89.1 (73.2, 105.0)

< 0.001

0.242

Socioeconomic indicators

 Unemployment rate

42.0 (29.5, 54.5)

< 0.001

0.101

12.8 (−3.6, 29.2)

0.125

0.156

32,5 (14.0, 51.1)

< 0.001

0.209

 Net household incomea,c

−57.9 (−72.5, −43.3)

< 0.001

0.127

−36.8 (−56.7, −17.0)

< 0.001

 

−15,3 (− 36.5, 5.8)

0.158

 

 Rate of school leavers w/o certificate

49.1 (33.4, 64.9)

< 0.001

0.091

24.3 (6.9, 41.7)

0.006

 

17,7 (0.3, 35.0)

0.045

 

Indicators of medical infrastructure

 Hospital beds/1000 population

10.6 (2.0, 19.3)

0.016

0.078

22.4 (8.7, 36.1)

0.001

0.138

16,7 (4.0, 29.5)

0.010

 

 GPs/100,000 population

0.0 (−1.3, 1.3)

0.990

0.000

−0.3 (−2.7, 2.1)

0.787

 

−1,4 (−3.7, 0.8)

0.213

 

 Distance to the next pharmacyb

82.5 (37.9, 127.1)

< 0.001

0.034

122.1 (63.8, 180.4)

122.1

 

108.0 (49.2, 166.9)

0.001

 

PANEL B: Outcome - age-adjusted sepsis incidence

Socioeconomic indicators

 Unemployment rate

20.4 (9.4, 31.4)

0.000

0.033

3.5 (−11.4, 18.3)

0.647

0.059

8.6 (−8.5, 25.6)

0.323

0.078

 Net household incomea,c

−33.8 (−47.1, −20.5)

0.000

0.056

−28.3 (−46.5, −10.1)

0.003

 

−20.0 (− 39.7, −0.4)

0.047

 

 Rate of school leavers w/o certificate

20.9 (7.1, 34.7)

0.003

0.022

5.9 (−9.8, 21.6)

0.458

 

4.8 (−11.3, 20.9)

0.559

 

Indicators of medical infrastructure

 Hospital beds/1000 population

9.5 (2.0, 17.0)

0.013

0.077

18.5 (6.4, 30.6)

0.002

0.096

14.9 (3.0, 26.8)

0.013

 

 GPs/100,000 population

0.3 (−0.8, 1.4)

0.579

0.001

−1.0 (−3.1, 1.1)

0.352

 

−1.4 (− 3.5, 0.7)

0.192

 

 Distance to the next pharmacyb

26.6 (−11.1, 64.2)

0.164

0.005

43.6 (−5.5, 92.7)

0.077

 

29.4 (−22.9, 81.7)

0.266

 
  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)