Table 2.
Multivariate Associations Between Sociodemographic Characteristics and Perceived Financial Barriers to Cervical Cancer Screening (N = 702)
| Perceived financial barriers Average Marginal Effect (SE) |
||
|---|---|---|
| Screening cost | Future treatment cost | |
| Age (years) | ||
| 25–34 | Ref. | Ref. |
| 35–49 | 0.06 (0.04) | −0.02 (0.04) |
| 50–64 | −0.09* (0.04) | −0.10* (0.05) |
| Race | ||
| Black | Ref. | Ref. |
| White | 0.08* (0.03) | 0.12** (0.04) |
| Other or not reported | −0.07 (0.06) | 0.03 (0.06) |
| Education | ||
| High school diploma, GED, or less | Ref. | Ref. |
| Some college or Associate's degree | −0.002 (0.03) | 0.04 (0.04) |
| Bachelor's degree or more | 0.04 (0.04) | 0.08 (0.05) |
| Health insurance status | ||
| Public insurance | Ref. | Ref. |
| Uninsured | 0.39** (0.04) | 0.31** (0.04) |
| Employment status | ||
| Unemployed | Ref. | Ref. |
| Employed | 0.04 (0.03) | 0.01 (0.04) |
| FPL | ||
| ≤100% FPL | Ref. | Ref. |
| >100%–250% FPL | −0.04 (0.04) | −0.06 (0.04) |
| Not reported | 0.13* (0.06) | 0.22** (0.08) |
**
p < 0.01, *p < 0.05.
Multivariable logistic regression used to estimate average marginal effects (SEs reported in parentheses). Average marginal effects represent the average difference in the predicted probability of perceiving screening cost, or future treatment cost, as a barrier to cervical cancer screening holding all other covariates constant, across all observations in the analytic sample.
SE, standard error.