Table 3.

Summary of intervention characteristics (N=24).

Characteristics and citations		Frequency, n (%)
Technology
	Smartphone [36,39,40,52,56]	5 (21)
	Web [41-46,48,49,51,53-55,60-65]	16 (67)
	Web and smartphone [37]	1 (4)
	Web and telephone [38]	1 (4)
	Email [58]	1 (4)
Aim
	Assess [40,49,62,65]	4 (17)
	Educate [55,59]	1 (4)
	Improve [36,37,40,42-46,49,51-56,58-63]	19 (79)
	Manage [36,41,47,56,64]	5 (21)
	Monitor [40,51,54,55,59,62,65]	6 (25)
	Prevent [38,49,63,64]	4 (17)
	Promote [43,45,51,58,62,64,65]	7 (29)
	Support [39,41,51]	3 (13)
Target mental health problem
	Anxiety disorders and symptoms [37,38]	2 (8)
	Burnout [46]	1 (4)
	Chronic pain [38]	1 (4)
	Common mental disorders [39]	1 (4)
	Mood disorders and symptoms [37,38,40,42,52,57,61,63]	8 (33)
	Return to work [54]	1 (4)
	Sleep problems [38,45,58]	3 (13)
	Substance-related and addictive disorders [38,60]	2 (8)
	Stigma and discrimination [44]	1 (4)
	Stress-related disorders and symptoms [8,36-47,49-51,53-63,65]	17 (71)
	Well-being problems [36,40,41,51,54,62,64]	7 (29)
Country of implementation
	Australia [40,52]	2 (8)
	Canada [43]	1 (4)
	China [37]	1 (4)
	Germany [38,56]	2 (8)
	International [64]	1 (4)
	The Netherlands [49,54,63]	3 (13)
	New Zealand [44]	1 (4)
	Sweden [39,45,51,62,65]	5 (21)
	United Kingdom [36,41,42,53,55,59,61]	5 (21)
	United States [43,46,58,60]	4 (17)
Target occupational groups
	Armed forces occupations [44,60]	2 (8)
	Clerical support worker [45,55,61,62]	4 (17)
	Elementary occupations (eg, cleaners and laborers) [45]	1 (4)
	Managers (eg, chief executive officer) [41,55,61]	3 (13)
	Not reported [37,39,40,42,54]	5 (21)
	Plant and machine operators and assemblers [61]	1 (4)
	Professionals (eg, teachers and physicians) [41,43,45,46,49,55,58,61-63]	10 (42)
	Service and sales workers [45,61,65]	3 (13)
	Social workers (ie, specifically child and family social workers) [36]	1 (4)
	Skilled agricultural, forestry, and fishery workers [38,61]	2 (8)
	Technicians and associate professionals [36,41,55,61,62,65]	6 (25)