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
| 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 | ||
Abbreviations: EC Expected change, w/o without, CI Confidence Interval
a Increase per 100 Euro
b Increase per 1000 m
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)