Table 2.
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] |
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.