Research Article
Feasibility and Acceptability of a Smartphone App for Daily Reports of Substance Use and Antiretroviral Therapy Adherence among HIV-Infected Adults
Table 1
Demographic, clinical, substance use, and mobile technology use characteristics.
| Measure | (%) |
| Demographic characteristics | | Age [M (SD)] | 48.4 (9.49) | Sex | | Female | 4 (15.4) | Male | 20 (76.9) | Transgender | 2 (7.6) | Sexual identity | | Straight/heterosexual | 12 (46.2) | Gay/homosexual | 9 (34.6) | Bisexual | 3 (11.5) | Other | 2 (7.7) | Race | | African American | 14 (53.8) | White | 9 (34.6) | American Indian | 1 (3.8) | Other | 2 (7.7) | Education | | High school or less | 15 (57.7) | Some college or more | 11 (42.3) | Employment | | Not employed | 21 (80.8) | Full or part-time | 5 (19.2) | Annual income | | <20,000 | 22 (84.6) | ≥20,000 | 4 (15.4) | Clinical characteristics | | Undetectable viral load | 18 (69.2) | Years since diagnosis [M (SD)] | 16.92 (8.65) | Substance use characteristics | | Cigarette smoking | | Daily | 16 (61.5) | <Daily | 5 (19.2) | None | 5 (19.2) | AUDIT score [M (SD)] | 17.08 (6.56) | Hazardous drinker (AUDIT score 8–15) | 10 (38.5) | Harmful drinker (AUDIT score 16–19) | 3 (11.5) | Probable alcohol dependence (AUDIT score ≥20) | 4 (15.4) | Marijuana use (past month) | 16 (61.5) | Crack use (past month) | 7 (26.9) | Mobile technology and Internet use characteristics | | Mobile phone ownership | 18 (69.2) | Smartphone ownership | 9 (34.6) | Mean number of mobile phone numbers in past six months (SD) | 1.50 (2.04) | Average number of texts sent on a daily basis | | 0–9 | 9 (50) | 10–49 | 7 (38.9) | 50+ | 2 (11.1) | Using apps on phone in past month | 11 (61.1) | Using apps on phone on a daily basis | 9 (81.8) | Internet use in past month | 21 (80.8) | Mean number of hours per day on Internet | 3.30 (2.64) |
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participants who indicate mobile phone ownership. participants who report any app use in past month.
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