Table 1

Characteristics of the hospitals and participants

Characteristics of hospitalsn (%)
German federal states
(N=50)
North Rhine-Westphalia17 (34)
Lower Saxony12 (24)
Baden-Württemberg6 (12)
Schleswig Holstein3 (6)
Thuringia3 (6)
Saxony-Anhalt2 (4)
Bavaria, Berlin, Brandenburg, Bremen, Saxony, Hesse and Rhineland-Palatinate (each federal state)1 (2)
Hamburg, Mecklenburg-Western Pomerania and Saarland0 (0)
Sponsorship
(N=51)
Non-profit organisations26 (51)
Public institutions25 (49)
Planned beds (survey period)
(N=50)
≥60021 (42)
300–59919 (38)
50–29910 (20)
Inpatient cases/year (survey period)
(M=35 716; range=1840–200 000; SD=35 359)
(N=44)
10 000–49 99930 (68)
50 000–99 9998 (18)
<10 0004 (9)
100 000–150 0001 (2)
>150 0001 (2)
Characteristics of participantsn (%)
Age in years
(M=47; range=25–61; SD=10)
(N=48)
>4532 (67)
30–4511 (23)
>305 (10)
Gender
(N=48)
Male25 (52)
Female23 (48)
RLS expertise in years
(M=7.5; range=0–23; SD=5)
(N=50)
<518 (36)
>1016 (32)
5–1016 (32)
Position
(N=51)
Quality and risk manager19 (37)
Risk manager8 (16)
Quality and risk assurance representative6 (12)
Quality manager5 (10)
Several functions in quality and risk management4 (8)
Quality assurance representative4 (8)
Risk manager and quality assurance representative2 (4)
Quality manager and quality assurance representative1 (2)
Others: critical incident reporting district representative2 (4)
Professional qualification
(N=46)
Healthcare management20 (43)
Medical assistance personnel11 (24)
Physician6 (13)
Commercial professional6 (13)
Others: physicist, biologist and master of business and engineering3 (7)
Advanced positions and competencies based on further education
(N=45)
Quality and risk management21 (47)
Quality management10 (22)
Risk management8 (18)
Other: medical coding, head of ward, systemic counselling and therapy, specialised nurse practitioner, anaesthesia and critical care practitioner and practice supervisor6 (13)
  • M, mean; RLS, reporting and learning system; SD, standard deviation.