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Table 2 Baseline characteristics of interview participants

From: A realist evaluation approach to explaining the role of context in the impact of a complex eHealth intervention for improving prevention of cardiovascular disease

 

Interviewees (n = 36)

RCT Cohort (n = 934)

Age, mean (SD) years

67 (8)

67.6 (8.1)

Male % (n)

50 (18)

76.7 (716)

Highest completed educational qualification % (n)

 School only

50 (18)

28.1 (262/931)

 Undergraduate degree

16.7 (6)

19.7 (183/931)

 Postgraduate degree or diploma

16.7 (6)

27.5 (256/931)

 Technical/vocational qualification

16.7 (6)

24.7 (230/931)

Employment status % (n)

 Working

27.8 (10)

37.5 (335/894)

 Retired

72.2 (26)

62.5 (559/894)

CVD status % (n)

 Existing CVD

50 (18)

41 (383)

 High risk of CVD

50 (18)

59 (551)

eHEALS

 Total score ≥ 26% (n)

72.2 (26)

65.8 (613/931)

 Total score < 26% (n)

27.8 (10)

34.2 (318/931)

 Score, mean (SD)

27.7 (7.2)

27.0 (6.4)

Self-reported uptake of new technology products % (n)

 I am generally the first, or among the first

19.4 (7)

22.8 (213/933)

 I am generally in the middle

50 (18)

49.4 (461/933)

 I am generally the last, or among the last

30.6 (11)

27.8 (259/933)

Login frequencya % (n)

 High users

61 (22)

40.4 (182/451)

 Low users

28 (10)

46.8 (211/451)

 Non-users

11 (4)

12.8 (58/451)

  1. Abbreviations: CVD cardiovascular disease; eHEALS electronic health literacy scale; SD standard deviation
  2. aHigh use: logged into the application at least once, in more than 3 months of follow-up period; Low use: logged in at least once, in 3 months or less of follow-up period; Non-use: logged in only once in total during follow-up period
  3. Notes
  4. 1. Denominators are included where the denominator differed from the column total
  5. 2. Login frequency applies only to the intervention group (n = 486); denominator shown (n = 451) excludes those with no logged use of the intervention