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. 2022 Feb 24;17(2):e0264436. doi: 10.1371/journal.pone.0264436

Table 1. Patient socio-demographic characteristics and descriptive statistics by “Remote Care” application user type.

Variables Non-mHealth users, n (%) 346 (67.18) mHealth users, n (%) 169 (32.82) Total, n (%) 515 (100.00) P value
Sex 0.04
Male 143 (41.33) 86 (50.89) 229 (44.47)
Female  203 (58.67) 83 (49.11) 286 (55.53)
Age range, y 0.382
<39 152 (43.93) 63 (37.28) 215 (41.75)
40–49 93 (26.88) 56 (33.14) 149 (28.93)
50–59 64 (18.50) 34 (20.12) 98 (19.03)
60+ 37 (10.69) 16 (9.46) 53 (10.29)
Education  0.424
High school or eqv. 115 (33.24) 66 (39.05) 181 (35.15)
High degree or eqv. 177 (51.16) 78 (46.16) 255 (49.51)
Higher degree or eqv. 54 (15.61) 25 (14.79) 79 (15.34)
Marital Status 0.196
Single 65 (18.79) 23 (13.61) 88 (17.09)
Married 251 (72.54) 135 (79.88) 386 (74.95)
Others (Widowed And Divorced) 30 (8.67) 11 (6.51) 41 (7.96)
Past experience with Telemedicine  0.072
Never Used 215 (62.14) 91 (53.85) 306 (59.42)
Used  131 (37.86) 78 (46.15) 209 (40.58)
Employment 0.04
Employed 227 (65.61) 126 (74.56) 353 (68.54)
Unemployed 119 (34.39) 43 (25.44) 162 (31.46)
Distance to health center 0.243
< 30 min 267 (77.17) 138 (81.66) 405 (78.64)
> 30 min 79 (22.83) 31 (18.34) 110 (21.36)