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Table 1 The characteristics of the experts in panel

From: Developing a tool for measuring the disaster resilience of healthcare rescuers: a modified Delphi study

Characteristics Demographics First-round (n = 22) Second-round (n = 21)
n (%) n (%)
Gender Male 3 (13.6) 3 (14.3)
Female 19 (86.4) 18 (85.7)
Age (years) 31–40 3 (13.6) 3 (14.4)
41–50 11 (50) 10 (47.6)
51–60 2 (9.1) 2 (9.5)
Over 60 4 (18.2) 4 (19.0)
No response 2 (9.1) 2 (9.5)
Nationality National (China mainland, Hong Kong, Taiwan) 16 (72.7) 16 (76.2)
International (America, Japan, South Korea, Australia) 6 (27.3) 5 (23.8)
Specialty University academic 11 (50.0) 10 (47.6)
Physician 3 (13.6) 3 (14.4)
Nurse 7 (31.8) 7 (33.2)
Disaster management 1 (4.6) 1 (4.8)
Title of the job Professor 10 (45.4) 9 (42.9)
Associate professor 8 (36.4) 8 (38.1)
Lecturer 4 (18.2) 4 (19.0)
Education level Bachelor 2 (9.1) 2 (9.5)
Master 5 (22.7) 5 (23.8)
Doctoral/ PhD 14 (63.6) 13 (61.9)
Post-doctoral 1 (4.6) 1 (4.8)
Work area Disaster nursing 10 (45.4) 9 (42.9)
Disaster medicine 1 (4.6) 1 (4.8)
Disaster management 3 (13.6) 3 (14.3)
Disaster education 13 (59.1) 12 (57.1)
Disaster related research 9 (40.9) 7 (33.3)
Disaster working experience (years) 5–10 5 (22.7) 4 (19.0)
11–15 10 (45.4) 10 (47.6)
16–20 1 (4.6) 1 (4.8)
over 20 4 (18.2) 4 (19.0)
No response 2 (9.1) 2 (9.5)