Table 2.

Characteristics of e-health and m-health tools used in health promotion and primary prevention among older adults

Classification category	Sub categories	N (%)	Reference index in Additional file 2
Type of e-health and m-health tools	Apps	2 (3.6)	1, 26
	Website	21 (38.2)	2, 5, 6, 9, 10, 14, 15, 16, 17, 19, 22, 25, 27, 28, 29, 35, 37, 38, 40, 43, 44
	Device	15 (27.3)	3, 4, 7, 11, 12, 15, 21, 22, 24, 31, 32, 33, 36, 37, 42
	Video consult (skype)	4 (7.3)	8, 39, 41, 45
	Webinars	13 (23.6)	3, 8, 13, 18, 20, 21, 23, 25, 28, 29, 30, 32, 34,
Type of use of e-health and m-health tools	Use without program (phone diary)	1 (2.2)	26
	Use in computer tailored lifestyle program	18 (40)	2, 6, 9, 12, 14, 15, 17, 18, 22, 24, 25, 27, 28, 29, 35, 37, 43, 44
	Use in program providing support/feedback (Internet/face-face)	10 (22.2)	1, 3, 4, 7, 10, 11, 16, 23, 34, 36
	Use in online health information	4 (8.9)	5, 19, 38, 40
	Use in telehealth programs	12 (26.7)	8, 13, 20, 21, 30, 31, 32, 33, 39, 41, 42, 45
Study groupa	No specific requirement	17 (37)	2, 4, 7, 9, 16, 17, 20, 21, 30, 31, 32, 33, 36, 39, 40, 41, 44
	Women only	3 (6.5)	3, 10, 26
	With risk/signs of specific disease	4 (8.7)	1, 19, 35, 45
	Physical conditions (overweight)	14 (30.4)	6, 10, 11, 12, 13, 18, 22, 25, 27, 28, 29, 34, 37, 43
	(Risk) Behaviors-lifestyle	3 (6.5)	14, 23, 24
	Cultural group (migrants/Latino’s/African American)	3 (6.5)	5, 15, 42
	Based on setting: in clinics/community	1 (2.2)	8
	Low computer knowledge	1 (2.2)	38
Country location	Europe	10 (22.2)	1, 2, 7, 14, 19, 21, 26, 27, 32, 44
	United states	27 (60)	3, 4, 8, 9, 10, 11, 12, 13, 15, 16, 17, 20, 22, 23, 24, 25, 28, 29, 30, 31, 33, 34, 35, 40, 42, 43, 45
	Canada	3 (6.7)	6, 39, 41
	Australia	2 (4.4)	5, 18
	Asia	3 (6.7)	36, 37, 38

The sum of N per category can exceed 45 as papers can be classified in multiple sub-categories

^aAll groups are older adults (at least 50 years old)