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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)