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Table 2 Use of and opinions about infographics, preferences for information in infographics, and barriers to reading full text articles in the total sample (N = 254 participants) and compared between those not involved in research or academia (N = 138) and those involved in researcher and/or academia (N = 116)

From: How do people use and view infographics that summarise health and medical research? A cross-sectional survey

 

Total sample

Not involved in research/ academia

Involved in research/ academia

Chi2, p-value**

Use of infographics (primary outcomes)

Likely to read full text after viewing an infographic, n (%)

  Extremely unlikely

6 (2%)

3 (2%)

3 (3%)

4.5, p = 0.474

  Somewhat unlikely

25 (10%)

17 (12%)

8 (7%)

  Neither likely nor unlikely

30 (12%)

14 (10%)

16 (14%)

  Somewhat likely

139 (55%)

72 (52%)

67 (58%)

  Extremely likely

54 (21%)

32 (23%)

22 (19%)

Use infographics as a substitute for reading full text, n (%)

  Never

30 (12%)

9 (7%)

21 (18%)

20.8, p < 0.001*

  Sometimes

119 (47%)

57 (41%)

62 (54%)

  About half the time

49 (19%)

31 (23%)

18 (16%)

  Most of the time

53 (21%)

40 (29%)

13 (11%)

  Always

3 (1%)

1 (1%)

2 (2%)

Accessing infographics, n (%)*

  Twitter

170 (67%)

80 (58%)

90 (78%)

11.0, p = 0.001*

  Instagram

111 (44%)

78 (57%)

33 (29%)

20.2, p < 0.001*

  Journal website

87 (34%)

44 (32%)

43 (37%)

0.8, p = 0.386

  Facebook

77 (30%)

47 (34%)

30 (26%)

2.0, p = 0.157

  Non-journal website

42 (17%)

21 (15%)

21 (18%)

0.4, p = 0.537

  Other

28 (11%)

9 (7%)

19 (16%)

6.2, p = 0.012*

Device used to view infographics, n (%)*

  Smart phone

225 (89%)

124 (90%)

101 (87%)

0.5, p = 0.487

  Laptop

137 (54%)

65 (47%)

72 (62%)

5.7, p = 0.017*

  Desktop

63 (25%)

31 (23%)

32 (28%)

0.9, p = 0.346

  iPad

38 (15%)

18 (13%)

20 (17%)

0.9, p = 0.350

  Other

3 (1%)

1 (1%)

2 (2%)

0.5, p = 0.463

Opinions about infographics

Infographics should be detailed enough so readers don’t have to read the full-text, n (%)

  Definitely not

20 (8%)

7 (5%)

13 (11%)

14.0, p = 0.007*

  Probably not

39 (15%)

17 (12%)

22 (19%)

  Might or might not

55 (22%)

24 (17%)

31 (27%)

  Probably yes

87 (34%)

53 (38%)

34 (29%)

  Definitely yes

53 (21%)

37 (27%)

16 (14%)

Infographics are useful tools to communicate research, n (%)

  Definitely not

1 (< 1%)

0 (0%)

1 (1%)

11.4, p = 0.022*

  Probably not

3 (1%)

1 (1%)

2 (2%)

  Might or might not

16 (6%)

4 (3%)

12 (10%)

  Probably yes

49 (19%)

22 (16%)

27 (23%)

  Definitely yes

185 (73%)

111 (80%)

74 (64%)

Infographics increase the attention research receives, n (%)

  Definitely not

0 (0%)

0 (0%)

0 (0%)

1.1, p = 0.776

  Probably not

4 (2%)

2 (2%)

2 (2%)

  Might or might not

8 (3%)

3 (2%)

5 (4%)

  Probably yes

53 (21%)

28 (20%)

25 (22%)

  Definitely yes

189 (74%)

105 (76%)

84 (72%)

Functions of an infographic, n (%)*

  Communicate research in a more user-friendly way

226 (89%)

127 (92%)

99 (85%)

2.9, p = 0.090

  Reduce the time burden of reading the full text

162 (64%)

105 (76%)

57 (49%)

19.8, p < 0.001*

  Help readers quickly decide whether to read the full text

161 (63%)

89 (65%)

72 (62%)

0.2, p = 0.690

  Entice readers to read the full text

146 (58%)

72 (52%)

74 (64%)

3.5, p = 0.062

  Other

18 (7%)

9 (7%)

9 (8%)

0.1, p = 0.702

Preferences for information to include in infographics

Information expected to see in an infographic, n (%)*

  Conclusion or ‘Take away’ message

240 (95%)

131 (95%)

109 (94%)

0.1, p = 0.738

  Description of intervention(s)

234 (92%)

130 (94%)

104 (90%)

1.8, p = 0.180

  Description of outcome(s)

220 (87%)

122 (88%)

98 (85%)

0.8, p = 0.360

  Description of population

206 (81%)

105 (76%)

101 (87%)

5.0, p = 0.026*

  Description of comparison(s)

188 (74%)

96 (70%)

92 (79%)

3.1, p = 0.078

  Sample size

166 (65%)

84 (61%)

82 (71%)

2.7, p = 0.101

  Statistics summarising the effect size

147 (58%)

79 (57%)

68 (59%)

0.0, p = 0.825

  Some study limitations

100 (39%)

56 (41%)

44 (38%)

0.2, p = 0.667

  Conflicts of interest

65 (26%)

31 (23%)

34 (29%)

1.6, p = 0.213

  Other

14 (6%)

9 (7%)

5 (4%)

0.6, p = 0.442

Barriers to reading full-text articles, n (%)*

 Lack of time

196 (77%)

102 (74%)

94 (81%)

1.8, p = 0.178

 Lack of access

180 (71%)

115 (83%)

65 (56%)

22.7, p < 0.001*

 Unsure how to determine study quality

67 (26%)

48 (35%)

19 (16%)

11.0, p = 0.001*

 Unsure how to interpret results

60 (24%)

37 (27%)

23 (20%)

1.7, p = 0.192

 Unsure how to interpret methods

59 (23%)

35 (25%)

24 (21%)

0.8, p = 0.380

 Other

14 (6%)

9 (7%)

5 (4%)

0.6, p = 0.442

 No barriers experienced

6 (2%)

3 (2%)

3 (3%)

0.0, p = 0.829

 Never attempted to access full text

3 (1%)

2 (2%)

1 (1%)

0.2, p = 0.666

  1. NB: the ranking question was not included in the Table because the results were almost identical to the question about what information people expect to see in an infographic
  2. IQR Interquartile range, n number of participants satisfying the item, N number of participants with data, SD standard deviation
  3. *Percentages do not add to 100% because participants could select multiple options
  4. **Comparison between those not involved in research or academia (N = 138) and those involved in researcher and/or academia (N = 116)