Research Article
Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers
Table 3
Demographic data of the respondents (
).
| | Demographic data | Frequency (%) |
| | Sex | | | Male | 232 (29) | | Female | 555 (71) | | Age (years) | | | 18-25 | 498 (63.3) | | 26-35 | 169 (21.5) | | 36-45 | 85 (10.8) | | 56-65 | 32 (4.1) | | >65 | 3 (0.4) | | Education level | | | Diploma | 547 (70) | | Bachelor degree | 151 (19) | | Master’s degree | 69 (9) | | Doctoral degree | 19 (2) | | Last mHealth apps usage | | | <1 month ago | 386 (49) | | 1-3 months ago | 266 (34) | | 3-6 months ago | 87 (11) | | 6-12 months ago | 48 (6) | | Monthly household spending | | | <Rp 3,000,000 (~$214) | 321 (41) | | Rp 3,000,000–Rp 6,000,000 (~$427) | 297 (38) | | Rp 6,000,000–Rp 10,000,000 (~$712) | 109 (14) | | >Rp 10,000,000 | 60 (7) | | Private insurance | | | Yes | 427 (54) | | No | 360 (46) | | mHealth application used | | | Halodoc© | 494 (63) | | Alodokter© | 293 (37) | | Increased mHealth apps use due to COVID-19 | | | Yes | 403 (51) | | No | 384 (49) |
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