Table 2.
Interactions With Healthcare Providers: Chi-square Results for Gender Identity.
| Gender Identity |
Design-Based Fa |
|||||
|---|---|---|---|---|---|---|
| Trans Women (%) | Trans Men (%) | Assigned Female at Birth Genderqueer/Nonbinary (%) | Assigned Male at Birth Genderqueer/Nonbinary (%) | Row Total n (%) | ||
| Doctor knew I was trans and treated me with respect (weighted n = 20,166) | ||||||
| Yes | 81.16 | 78.93 | 27.45 | 34.42 | 12,702 (62.99) | 812.81*** |
| No | 18.84 | 21.07 | 72.55 | 65.58 | 7464 (37.01) | |
| Had to teach doctor or healthcare professional about trans people (weighted n = 20,117) | ||||||
| Yes | 25.69 | 31.20 | 16.51 | 15.83 | 4891 (24.31) | 57.79*** |
| No | 74.31 | 68.80 | 83.49 | 84.17 | 15,226 (75.69) | |
Note. *p < 0.05, **p < 0.01, ***p < 0.001.
a
With weighted data, chi-square tests are converted into a design-based F statistic to provide a more accurate p-value.