Table 2.
Logistic regression model of electronic personal health information use among patients who reported being diagnosed with cancer grouped by rural and urban status based from the Health Information National Trends Survey (n=1388) in the years 2008, 2011, 2013, and 2017, adjusted for sex, age, race/ethnicity, education, and income.
| Characteristics | Odds ratio (95% CI) | P value | |
| Residential area |
|
.40 | |
|
|
Urban | Refa |
|
|
|
Rural | 0.78 (0.43-1.40) |
|
| Sex |
|
.75 | |
|
|
Female | Ref |
|
|
|
Male | 0.93 (0.60-1.45) |
|
| Age in years |
|
.52 | |
|
|
18-34 | Ref |
|
|
|
35-49 | 0.50 (0.17-1.47) |
|
|
|
50-64 | 0.48 (0.19-1.22) |
|
|
|
65-74 | 0.42 (0.16-1.11) |
|
|
|
≥75 | 0.41 (0.13-1.27) |
|
| Race/ethnicity |
|
.27 | |
|
|
Non-Hispanic white | Ref |
|
|
|
Hispanic | 0.94 (0.46-1.93) |
|
|
|
Non-Hispanic black | 1.16 (0.51-2.64) |
|
|
|
Non-Hispanic other | 2.05 (0.98-4.31) |
|
| Education |
|
.07 | |
|
|
Less than high school | Ref |
|
|
|
High school graduate | 1.03 (0.19-5.50) |
|
|
|
Some college | 2.01 (0.38-10.70) |
|
|
|
College graduate | 2.04 (0.41-10.03) |
|
| Income |
|
.09 | |
|
|
<$20,000 | Ref |
|
|
|
$20,000-<$35,000 | 1.50 (0.62-3.60) |
|
|
|
$35,000-<$50,000 | 1.13 (0.48-2.69) |
|
|
|
$50,000-<$75,000 | 1.93 (0.72-5.15) |
|
|
|
$75,000+ | 2.21 (0.90-5.40) |
|
| Survey year |
|
<.001 | |
|
|
2008 | Ref |
|
|
|
2011 | 1.57 (1.02-2.43) |
|
|
|
2013 | 3.38 (1.89-6.15) |
|
|
|
2017 | 13.07 (8.23-20.75) |
|
aRef: reference.