Determinants of sepsis knowledge: a representative survey of the elderly population in Germany

Table 3 Determinants of sepsis knowledge in a multiple regression (nationwide sample)

Model		β	t	Sig.	95% CI for β
Model		β	t		LCI	UCI
1	(Constant term)		6.914	0.000	0.351	0.630
	Age	− 0.170	− 4.278	0.000	− 0.005	− 0.002
	Gender	0.070	1.840	0.066	− 0.002	0.047
	Education	0.160	4.006	0.000	0.020	0.058
	Job status	0.047	1.180	0.238	− 0.015	0.059
	Health insurance	− 0.050	− 1.267	0.205	− 0.052	0.011
	Residence	− 0.079	− 2.053	0.041	− 0.056	− 0.001
2	(Constant term)		6.458	0.000	0.318	0.597
	Age	− 0.169	− 4.287	0.000	− 0.005	− 0.002
	Gender	0.064	1.702	0.089	− 0.003	0.045
	Education	0.166	4.194	0.000	0.021	0.059
	Job status	0.047	1.186	0.236	− 0.014	0.058
	Health insurance	− 0.045	− 1.172	0.242	− 0.050	0.013
	Residence	− 0.079	− 2.070	0.039	− 0.056	− 0.001
	Source: Pharmacists	0.128	3.392	0.001	0.009	0.033

We coded age as continuous linear, education as linear (low, medium, high; following International Standard Classification of Education ISCED-97), job status as dichotomous (working = 1/retired = 2), health insurance as dichotomous (statutory = 1/ private = 2) and residence as population of hometown (over 10,000 inhabitants = 1/under 10,000 inhabitants = 2). For sources of health information, higher scores indicate more frequent use of respective sources (range 1–5)
Sig. significance value p for regression weight β, CI confidence interval, UCI upper end of confidence interval, LCI lower end of confidence interval

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