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. 2014 Sep 8;16(9):e200. doi: 10.2196/jmir.3049

Table 4.

Respondents with barriers checked by type of technology and type of barrier.

Type of technology Barriers to consumer health technology adoption, n (%)a

Total Knowledge-based Motivation-based

Checked >1 barrier Don’t know what it is Don’t know how to use Too difficult to use Need more training Not secure Not appropriate Don’t enjoy using
Phone 78 (16.6) 5 (1.1) 9 (1.9) 4 (0.9) 6 (1.3) 15 (3.2) 16 (3.4) 31 (6.6)
Website 98 (20.9) 22 (4.7) 30 (6.4) 4 (0.9) 26 (5.5) 16 (3.4) 9 (1.9) 23 (4.9)
Email 125 (26.7) 9 (1.9) 23 (4.9) 5 (1.1) 12 (2.6) 44 (9.4) 32 (6.8) 29 (6.2)
Call center 238 (50.7) 15 (3.2) 23 (4.9) 6 (1.3) 9 (1.9) 40 (8.5) 75 (16.0)a 119 (25.4)a
Video conference 251 (53.5) 35 (7.5) 74 (15.8)a 16 (3.4) 70 (14.9) 29 (6.2) 30 (6.4) 54 (11.5)
Texting 269 (57.4) 16 (3.4) 57 (12.2) 12 (2.6) 28 (6.0) 61 (13.0) 87 (18.6)a 91 (19.4)a
Podcast 302 (64.4) 74 (15.8)a 89 (19.0)a 9 (1.9) 64 (13.6) 27 (5.8) 49 (10.4) 79 (16.8)a
Kiosk 307 (65.5) 31 (6.6) 45 (9.6) 7 (1.5) 29 (6.2) 83 (17.7)a 96 (20.5)a 96 (20.5)a
Smartphone 319 (68.0) 48 (10.2) 107 (22.8)a 19 (4.1) 63 (13.4) 49 (10.4) 45 (9.6) 91 (19.4)a
Blog 331 (70.6) 52 (11.1) 88 (18.8)a 10 (2.1) 54 (11.5) 81 (17.3)a 113 (24.1)a 92 (19.6)a
Wiki 357 (76.1) 93 (19.8)a 92 (19.6)a 8 (1.7) 43 (9.2) 91 (19.4)a 112 (23.9)a 74 (15.8)a

aPercentages of respondents (N=469) above 15% are marked to highlight the highest concentration of barriers.