Table 4.
Patient participant characteristics associated with telemedicine being useful after the COVID-19 pandemic, N = 273
| Variable | How useful do you think it will be to have medical appointments with telemedicine/telehealth after the coronavirus emergency is over? | Unadjusted odds ratio (95% CI) | Adjusted odds ratio† (95% CI) | |
|---|---|---|---|---|
| Extremely/very | Moderately/slightly/not at all | |||
| Age§ | 54.5 (9.7) | 51.3 (11.7) | 1.31 (1.02–1.69)* | 1.38 (1.05–1.81)* |
| Current gender‡ | ||||
| Female | 40 (53.3%) | 91 (46.2%) | 1.33 (0.78–2.27) | |
| Male | 35 (46.7%) | 106 (53.8%) | Ref | |
| Race | ||||
| White | 12 (16%) | 49 (24.9%) | Ref | |
| Black | 58 (77.3%) | 119 (60.4%) | 1.99 (0.98–4.03) | |
| Other | 5 (6.7%) | 29 (14.7%) | 0.70 (0.23–2.20) | |
| Ethnicity | ||||
| Hispanic | 11 (14.7%) | 32 (16.3%) | 0.88 (0.42–1.85) | |
| Non-Hispanic | 64 (85.3%) | 164 (83.7%) | Ref | |
| Annual household income | ||||
| $0 to $25,000 | 50 (68.5%) | 125 (64.4%) | Ref | |
| $25,000 or more | 23 (31.5%) | 69 (35.6%) | 0.83 (0.47–1.48) | |
| Employment change due to COVID-19 outbreaka | ||||
| Changed | 9 (12%) | 36 (18.3%) | 0.61 (0.28–1.34) | |
| Unchanged | 66 (88%) | 161 (81.7%) | Ref | |
| Engaged in recent HIV care | ||||
| No | 10 (13.3%) | 22 (11.2%) | 1.22 (0.55–2.72) | |
| Yes | 65 (86.7%) | 175 (88.8%) | Ref | |
| Undetectable HIV viral load | ||||
| No | 13 (17.3%) | 33 (16.8%) | 1.04 (0.52–2.11) | |
| Yes | 62 (82.7%) | 164 (83.2%) | Ref | |
| Missed any ART during COVID-19 pandemic | ||||
| No | 55 (75.3%) | 164 (83.2%) | Ref | |
| Yes | 18 (24.7%) | 33 (16.8%) | 1.63 (0.85–3.12) | |
| Owned a smartphone | ||||
| No | 14 (20.3%) | 50 (27.6%) | 0.67 (0.34–1.31) | 0.80 (0.39–1.66) |
| Yes | 55 (79.7%) | 131 (72.4%) | Ref | Ref |
| Site location | ||||
| New Haven, CT | 39 (52%) | 134 (68%) | Ref | |
| Brooklyn, NY | 36 (48%) | 63 (32%) | 1.96 (1.14–3.38)* | 1.78 (0.97–3.27) |
Statistically significant values are shown in bold
§In 10-year increments
*P value less than 0.05
†Adjusted for age, smartphone ownership, and location
‡Four participants indicated that their current gender was different from their assigned gender at birth
aThe survey question was “Has there been any change in your employment status due to coronavirus?”