Prevalence of second victims, risk factors and support strategies among young German physicians in internal medicine (SeViD-I survey)

Table 3 Risk factors for being a second victim

n = 534		Having experienced one/several second victim incidents
Independent variable		Final model r² = 0.09^a
Independent variable		ReCoB^b	p	odds ratio^c	95%-CI^d
Gender^e (female)		0.90	0.00	2.46	1.70–3.55
Age (years)	25–30
	31–32	0.20	0.41	1.23	0.75–2.01
	33–36	0.15	0.56	1.16	0.71–1.90
Years in training	1–3
	4–5	0.19	0.40	1.21	0.77–1.90
	6–13	0.73	0.05	2.01	1.01–4.23
Specialty status^f (specialist)		−0.09	0.81	0.91	0.42–1.97
Workplace in acute care^g		0.25	0.20	1.29	0.88–1.89

For this binary logistic regression model, the dependent variable second victim status was set to never been a second victim vs. having experienced one or several second victim incidents
^a, Nagelkerkes r²; ^b, regression coefficient B; ^c, exponentiation of the B coefficient (Exp(B)) or odds ratio; ^d, confidence interval; ^e, reference category is male sex; ^f, reference category is no medical specialty; ^g, reference category is not working in acute care (predominantly in ICU and/or emergency department)

ISSN: 1745-6673