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. 2019 Apr 3;7(4):e11687. doi: 10.2196/11687

Table 2.

Access to mobile phones and its association with demographic characteristics (N=185).

Variables Mobile phone not used (n=34), n (%) Mobile phone used (n=151), n (%) Unadjusted ORa
(95% CI)
Adjustedb,c OR
(95% CI)
Sex, n (%)

Female 22 (31) 49 (69) Referentd e

Male 12 (10.5) 102 (89.5) 3.816 (1.747-8.338)
Education status, n (%)

No formal education 14 (35) 26 (65) Referent Referent

Formal education 20 (13.8) 125 (86.2) 3.365 (1.508-7.513) 2.623 (1.118-6.153)
Literate in English, n (%)

No 28 (24.1) 88 (75.9) Referent Referent

Yes 6 (9) 63 (91) 3.341 (1.306-8.546)
Employment status, n (%)

Not gainfully employed 25 (33) 51 (67) Referent

Gainfully employed 9 (8.3) 100 (91.7) 5.447 (2.367-12.531)
Monthly income (Indian Rupee), n (%)

<5000 28 (32) 60 (68) Referent Referent

≥5000 6 (6) 91 (94) 7.078 (2.765-18.120) 6.288 (2.428-16.290)
Treatment observation, n (%)

In-person directly observed treatment 8 (18) 36 (82) Referent

Self-administered treatment 11 (24) 34 (76) 0.687 (0.247-1.913)

Not initiated 15 (16) 81 (84) 1.200 (0.467-3.083)
Recruitment center, n (%)

Public health care facility 6 (23) 20 (77) Referent

St John’s Medical College Hospital (private) 28 (17.6) 131 (82.4) 1.404 (0.517-3.813)

aOR: odds ratio.

bLogistic regression model P value<.001 (Forward stepwise [conditional] method); Nagelkerke R2: 0.215 (step 2); −2 Log-likelihood: 150.230 (step 2).

cOnly variables retained in the final regression model have an adjusted OR.

dReferent: reference category.

eNot applicable.