Skip to main content

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