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Table 3 Participant characteristics

From: Building capacity in dissemination and implementation research: the presence and impact of advice networks

 

Total Sample (n = 482)

US (n = 396)

Canada (n = 86)

Gender

n (%)

 Woman

371 (77)

297 (75)

74 (86)

 Man

103 (21)

93 (24)

10 (12)

 Non-binary

2 (< 1)

1 (< 1)

1 (1)

 Prefer not to answer

6 (1)

5 (1)

1 (1)

Racea

 Asian

63 (13)

49 (12)

14 (16)

 Black, African American, African-Canadian, Afro-Caribbean

31 (6)

28 (7)

3 (4)

 Indigenous, American Indian, or Alaska Native

4 (1)

4 (1)

0

 Native Hawaiian or other Pacific Islander

1 (< 1)

1 (< 1)

0

 White

378 (78)

312 (79)

66 (77)

 Otherb

17 (4)

11 (3)

6 (7)

 Prefer not to answer

14 (3)

10 (3)

4 (5)

Ethnicity: Hispanic/Latino

 Yes

32 (7)

26 (7)

6 (7)

 No

441 (92)

363 (92)

78 (92)

 Prefer not to answer

6 (1)

5 (1)

1 (1)

 Missing

3 (< 1)

2 (< 1)

1 (1)

Age

 < 40

202 (42)

155 (39)

47 (55)

 40–49

160 (33)

142 (36)

18 (21)

 50–59

75 (16)

61 (15)

14 (16)

 60 + 

38 (8)

32 (8)

6 (7)

 Missing

7 (1)

6 (2)

1 (1)

Current Job Position

 Professor

98 (20)

86 (22)

12 (14)

 Associate Professor

93 (19)

83 (21)

10 (12)

 Assistant Professor

138 (29)

126 (32)

12 (14)

 Instructor/lecturer

6 (1)

6 (2)

0 (0)

 Funder

5 (1)

4 (1)

1 (1)

 Staff scientist

59 (12)

41 (10)

18 (21)

 Postdoctoral researcher/fellow

34 (7)

22 (6)

12 (14)

 Graduate student

31 (7)

18 (4)

13 (15)

 Otherc

18 (4)

10 (2)

8 (9)

D&I expertise

 Beginner

67 (14)

54 (14)

13 (15)

 Intermediate

217 (45)

178 (45)

39 (45)

 Advanced

138 (29)

116 (29)

22 (26)

 Expert

60 (12)

48 (12)

12 (14)

Organization type where they work

 University or research organization

368 (76)

309 (78)

59 (69)

 Hospital, health system, healthcare delivery organization

70 (15)

52 (13)

18 (21)

 Governmental public health organization

16 (3)

10 (3)

6 (7)

 Research funding agency

5 (1.0)

4 (1)

1 (1)

 Community-based organization

2 (< 1)

2 (< 1)

0 (0)

 Otherd

21 (4)

19 (5)

2 (2)

Setting where they conduct most of their D&I/KT research

 Academic medical center or clinical settings

272 (56)

224 (57)

48 (56)

 Community settings

153 (32)

134 (34)

19 (22)

 Policy settings

18 (4)

11 (3)

7 (8)

 Health departments

11 (2)

6 (1)

5 (6)

 Othere

28 (6)

21 (5)

7 (8)

Academic area of graduate degree/fellowshipa

 Behavioral or Social Sciences (e.g. social work, psychology)

239 (50)

212 (54)

27 (31)

 Public Health (e.g., epidemiology)

209 (43)

177 (45)

32 (37)

 Health Services Research

177 (37)

132 (33)

45 (52)

 Medicine

93 (19)

78 (20)

15 (17)

 Policy

29 (6)

25 (6)

4 (5)

 Natural Sciences (e.g. biology, chemistry, physics)

12 (3)

9 (2)

3 (4)

 Otherf

73 (15)

48 (12)

25 (29)

  1. a Percentages may total more than 100% as participants could select multiple response options
  2. b Other self-reported races included: Indian, South European, Middle Eastern (3), Euroasian, Jewish, Acadian, Biracial, Mixed, and Slavic
  3. c Other job positions included: Knowledge Translation Lead, Administrator, Chief Operation Officer, Biostatistician, among others
  4. d Other organization types included: Veterans Affairs, Health Technology Company, Nonprofit organization, University and Government, management consulting firm, among others
  5. e Other research settings included: Health system, long-term care homes, K-12 schools, public child and family service, US Department of Veterans Affairs medical centers, Safety-net healthcare systems, low- and middle-income countries, among others
  6. f Other academic areas included: Nursing (n = 18), regulatory affairs, management, business, learning health systems, exercise physiology, rehabilitation sciences, nutrition and physical activity, implementation science, among others