Table 1 A comparison of original and imputed variables used in the study
| Â | Original (Wt%) | Imputed (Wt%) |
|---|---|---|
Age | Â | Â |
 18–34  35–49  50–64  65–74  75+  Missing/error | 22.23% 24.96% 29.49% 12.16% 8.80% 2.35% | 22.55% 25.35% 30.24% 12.71% 9.16% |
Gender | Â | Â |
 Male  Female  Missing/error | 43.41% 50.15% 6.43% | 46.05% 53.95% |
Race/ethnicity | Â | Â |
 Non-Hispanic White (NHW)  Non-Hispanic Black (NHB)  Hispanic/Latino  Non-Hispanic Asian (NHA)  Others  Missing/error | 61.97% 9.93% 13.29% 4.41% 3.10% 7.30% | 65.96% 11.20% 14.77% 4.72% 3.35% |
Education level | Â | Â |
 Less than High School  High school to Some college  College and above  Missing | 6.91% 59.06% 32.14% 1.89% | 7.15% 60.07% 32.77% |
Marital status | Â | Â |
 Single  Married  Others  Missing | 27.75% 55.28% 14.77% 2.20% | 28.29% 56.19% 15.52% |
Income ranges | Â | Â |
 <$20,000  $20,000–49,999  $50,000–99,999  ≥$100,000+  Missing | 16.79% 24.00% 30.57% 27.32% 1.33% | 17.22% 24.38% 30.85% 27.55% |
Insurance | Â | Â |
 No  Yes  Missing/error | 5.43% 93.91% 0.66% | 5.48% 94.52% |
Internet access | Â | Â |
 No  Yes  Missing | 14.49% 85.34% 0.17% | 14.53% 85.47% |
Usual source of care | Â | Â |
 No  Yes  Missing | 26.79% 72.48% 0.73% | 27.04% 72.96% |
Private-eHealth usage | Â | Â |
 No  Yes  Missing | 48.34% 39.07% 12.59% | 56.67% 43.33% |
Public-eHealth usage | Â | Â |
 No  Yes  Missing | 80.04% 18.70% 1.26% | 81.15% 18.85% |