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Table 4 Web-based survey: facilitators and value of using e-DA tools in team-based care

From: Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective

 

All participants N = 177 (%)

Registered dietitians N = 73 (%)

Other providers N = 104 (%)

χ 2

Potential benefits of using e-DA tools in my practice (Check all that apply):

Potentially be used for self-monitoring of nutrients, foods and eating behaviours

154 (87)

69 (95)

85 (82)

0.013

An educational tool because they may allow patients to self-reflect about their own diet

150 (85)

65 (89)

85 (82)

 

Motivate people to track what they eat because of rapid and visual results

148 (84)

67 (92)

81 (77)

0.014

Facilitate initial assessment of food intake and/or eating behaviours

117 (66)

46 (63)

71 (68)

 

Help in tracking specific nutrients (e.g., vitamin K, calcium, sodium, potassium)

107 (63)

54 (74)

53 (51)

0.002

Provide more accurate results vs. paper records; e.g., food photographs, portion sizes, and assessment of food habits

100 (56)

48 (66)

52 (50)

0.030

Provide more detailed information on diet than is currently available

69 (39)

33 (45)

36 (35)

 

Decrease time and cost of personnel in conducting dietary assessments

63 (36)

28 (38)

35 (34)

 

No benefits

6 (3)

1 (1)

5 (5)

 

New e-DA tools could be valuable in (Check all that apply):

N = 178 (%)

N = 73 (%)

N = 105 (%)

 

Overweight/obesity without other conditions

168 (94)

71 (97)

97 (92)

 

Diabetes with or without other conditions

165 (93)

68 (93)

97 (92)

 

Heart disease

142 (80)

63 (86)

79 (75)

 

General health promotion over the lifecycle (e.g., pregnancy, children, women)

138 (78)

53 (73)

85 (81)

 

Gastrointestinal issues

123 (69)

52 (71)

71 (68)

 

A combination of dyslipidemia, hypertension, not including diabetes or heart disease

111 (62)

47 (64)

64 (61)

 

Wellness check-ups or annual physical examinations (adults or children)

104 (58)

30 (41)

74 (71)

0.000

Cancer

63 (35)

20 (27)

43 (41)

 

Other condition (s)

13 (7)

8 (62)

5 (38)

 
  1. Statistically significant differences between two variables are in bold numbers. Percentage (%) of total in columns is more than 100% due to multiple responses.