Table 4.
Predictors of CGM and Pump Use.
| Usage/variable | Odds ratio | 95% CI | P-Value |
|---|---|---|---|
| Ever used CGM | |||
| Age | 0.91 | (0.63-1.30) | .59 |
| Female sex | 1.11 | (0.55-2.22) | .77 |
| Public insurance | 0.31 | (0.13-0.72) | .007 |
| A1c | 1.21 | (0.83-1.77) | .32 |
| Attitudes toward technology | 0.96 | (0.88-1.04) | .32 |
| Psychosocial barriers | 0.83 | (0.67-1.02) | .07 |
| Latinx ethnicity | |||
| English-speaking | 0.54 | (0.22-1.08) | .14 |
| Spanish-speaking | 1.54 | (0.58-4.75) | .43 |
| Current CGM use | |||
| Age | 0.87 | (0.61-1.23) | .42 |
| Female sex | 1.13 | (0.57-2.23) | .73 |
| Public insurance | 0.58 | (0.25-1.30) | .19 |
| A1c | 1.14 | (0.79-1.66) | .49 |
| Attitudes toward technology | 1.00 | (0.92-1.08) | .97 |
| Psychosocial barriers | 0.91 | (0.74-1.12) | .37 |
| Latinx ethnicity | |||
| English-speaking | 0.51 | (0.22-1.18) | .12 |
| Spanish-speaking | 0.93 | (0.33-2.63) | .89 |
| Ever used insulin pump | |||
| Age | 1.39 | (0.90-2.13) | .13 |
| Female sex | 3.26 | (1.46-7.24) | .004 |
| Public insurance | 0.86 | (0.33-2.24) | .76 |
| A1c | 0.65 | (0.44-0.98) | .04 |
| Attitudes toward technology | 0.80 | (0.72-0.89) | <.0001 |
| Psychosocial barriers | 0.73 | (0.58-0.93) | .01 |
| Latinx ethnicity | |||
| English-speaking | 0.78 | (0.31-1.95) | .59 |
| Spanish-speaking | 0.66 | (0.20-2.17) | .49 |
| Current insulin pump use | |||
| Age | 1.16 | (0.76-1.76) | .50 |
| Female sex | 2.65 | (1.19-5.89) | .02 |
| Public insurance | 0.84 | (0.32-2.22) | .73 |
| A1c | 0.57 | (0.37-0.88) | .01 |
| Attitudes toward technology | 0.79 | (0.70-0.88) | <.0001 |
| Psychosocial barriers | 0.62 | (0.47-0.81) | .001 |
| Latinx ethnicity | |||
| English-speaking | 0.90 | (0.34-2.35) | .83 |
| Spanish-speaking | 0.66 | (0.20-2.20) | .49 |