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. 2022 May 3;4:862466. doi: 10.3389/fdgth.2022.862466

Table 3.

Summary of the factors of CTA adoption.

Factor Facilitator Barrier #AF #AB #AFB %AFB
Privacy and trust (#Article = 13) 100%
Privacy Concern (27)(23)(15)(16)(22)(20)(26)(17)(29)(18)(21) 0 11 11 92%
Perceived (dis)trust (27)(16)(23)(24) (20)(26) 4 2 6 46%
Privacy design/protection (20)(25) 2 0 2 8%
User-controlled data sharing (20) 1 0 1 8%
Perceived utility (#Article = 8) 62%
Perceived usefulness/benefit (15)(22)(29)(24) 4 0 4 46%
Social benefit (27)(21)(25) 3 0 3 15%
Personal benefit (27) (25) (25) 2 0 2 15%
Personal and social benefit (25)
Perceived unnecessariness (26) 0 1 1 8%
Perceived ineffectiveness (26) 0 1 1 8%
Facilitating conditions (#Articles = 7) 54%
Information about app (22)(26) 2 0 2 15%
Technical concern (22)(26) 0 2 2 15%
Perceived compatibility (15) 1 0 1 8%
Innovativeness (15) 1 0 1 8%
Cues to action (29) 1 0 1 8%
Perceived ease of use (24) 1 0 1 8%
Convenience design (25) 1 0 1 8%
Perceived low adoption rate (20) 0 1 1 8%
Social cognitive factors (#Articles = 7) 54%
Attitude towards CTA (27)(24)(18) 3 0 3 23%
Subjective norm (27)(15) 15%
SD self-efficacy (23) 8%
SD response efficacy (23) 8%
SD response cost (23) 8%
Perceived trust in others' SDB (23) 0 1 1 8%
Perceived social safety (20) 0 1 1 8%
Prosocialness (21) 0 1 1 8%
Perceived technological threats (#Articles = 6) 46%
Data security risk (20)(21) 0 2 2 15%
Perceived susceptibility (27)(24) 0 2 2 15%
Perceived vulnerability (16)(23) 0 2 2 15%
Perceived severity (23) 0 1 1 8%
Socio-demographic factors (#Articles = 6) 46%
Age (26)(18) (20)(21) 2 2 4 31%
Income (21) (22) 1 1 2 15%
Living Area (22)(21) 2 0 2 8%
Gender (21) 1 0 1 8%
Ethnicity (21) 1 0 1 8%
Culture (27) 1 0 1 8%
Work Type (21) 0 1 1 8%
Public transit frequency (21) 1 0 1 8%
Health condition (20) 1 0 1 8%
Education (20) 1 0 1 8%
Technology familiarity (#Articles = 5) 39%
IT self-efficacy (25)(29) 2 0 2 15%
Perceived compatibility (15) 1 0 1 8%
Privacy self-efficacy (27) 1 0 1 8%
Technology readiness (21) 1 0 1 8%
Perceived health threats (#Articles = 4) 31%
Infection anxiety (25)(18) 2 0 2 15%
Perceived COVID-19 risk (24)(21) 2 0 2 15%
Persuasive design (#Articles = 3) 23%
Tangible reward (20)(17) 2 0 2 15%
Non-tangible reward (20) 1 0 1 8%
Location monitoring (17)(21) 2 0 2 15%
Self-monitoring (17) 1 0 1 8%
Contact location storage (21) 1 0 1 8%
Contact location upload (21) 1 0 1 8%
Ethical concerns (#Articles = 3) 23%
Voluntariness (16)(22) 2 0 2 15%
Affordability (22)(20) 0 2 2 15%
Accessibility (22) 0 1 1 8%
Data accessor (22) 0 1 1 8%
Legal issues (22) 0 1 1 8%

Work Type: non-essential (0) vs. essential (1), Living Area: non-urban (0) vs. urban (1), Ethnicity: White (0) vs. Hispanic (1), Gender: female (0) vs. male (1), Culture: individualism (0) vs. collectivism (1).

#AF: Number of articles that reported factor as a facilitator, #AB: Number of articles that reported factor as a barrier, #AFB: Number of articles that reported factor as a facilitator/barrier, SD: Social Distancing, SDB: Social Distancing Behavior, IT: Information Technology.