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Table 2 Customer recall of Eat Well @ IGA project components (n = 500), October 2017

From: The ‘Eat Well @ IGA’ healthy supermarket randomised controlled trial: process evaluation

Project component recall (estimated percentage [95%CI])

Overall a (n = 500)

Customer demographic subgroups b

Age

Gender

SEIFA

Educational attainment

Store shopping frequency

18-54y (n = 172)

55y and older (n = 324)

Male (n = 137)

Female (n = 357)

Low (n = 213)

High (n = 285)

High school or lower (n = 327)

University or higher (n = 165)

Regular (n = 136)

Infrequent (n = 235)

Eat Well @ IGA overall

33 [23, 44]

37 [26, 49]

31 [22, 41]

25 [16,37]

36 [26,48]

35 [24,48]

31 [21,43]

32 [22,42]

37 [26,49]

35 [24,49]

25 [15,39]

Trolley and/or basket signs

44 [33,56]

50 [37,63]

42 [31,54]

41 [28,55]

46 [35,58]

38 [24,54]

49 [34,64]

42 [32,54]

48 [36,61]

49 [34,64]

36 [23,53]

HSR shelf tag

48 [40,57]

56 [45,66]

45 [36,54]

43 [32,54]

50 [41,59]

44 [32,57]

51 [40,62]

47 [39,56]

50 [40,61]

52 [40,63]

43 [31,56]

Posters

49 [37,61]

64 [51,76]

42 [30,55]

41 [28,56]

52 [39,65]

50 [35,65]

52 [35,62]

47 [35,59]

55 [41,68]

56 [43,69]

45 [32,60]

Shelf signs

37 [30,43]

45 [37,54]

33 [27,40]

30 [22,39]

40 [33,47]

35 [27,45]

37 [30,45]

36 [29,43]

39 [31,48]

41 [32,50]

30 [21,40]

Letterbox flyers

14 [10,17]

13 [9,20]

13 [10,18]

12 [8,20]

14 [10,19]

12 [7,20]

14 [10,21]

14 [10,18]

13 [8,19]

16 [9,26]

6 [2,13]

Staff t-shirts

24 [15,37]

26 [15,41]

24 [14,37]

23 [13,38]

25 [15,38]

23 [13,39]

25 [14,39]

25 [15,39]

23 [13,37]

28 [18,40]

25 [15,38]

Social media

12 [7,18]

13 [7,21]

11 [7,18]

10 [6,19]

13 [8,19]

14 [9,24]

10 [6,16]

12 [8,19]

10 [6,18]

13 [9,18]

12 [8,19]

  1. All questions scored as Yes/No recall of components. Bolding indicates significant difference (p < 0.05) between subgroups. HSR Health Star Rating; IGA Independent Grocers of Australia; SEIFA Index of Relative Socio-Economic Disadvantage- Socio-Economic Indexes for Areas. a Estimated using logistic mixed-effects models with store as random effect to account for the clustering induced by store. b Estimated using logistic mixed-effects logistic models with the demographic variable as a fixed effect and store as random effect.