More years living in the US predicted greater colposcopy consent comprehension (b=0.05, p=.006)
Source
Krankl (2011). Patient predictors of colposcopy comprehension of consent among English- and Spanish-speaking women. Womens Health Issues.
Description #
In the adjusted multivariate model, a greater number of years living in the United States independently predicted greater colposcopy comprehension (β = 0.05; 95% CI 0.01 to 0.09; p = .006) (Table 3) — each category increase in US residence (above the fewest-years reference) was associated with a 0.05-point higher summary knowledge score. Residence differed sharply by language group (English mean 26.5 yrs vs Spanish 6.6 yrs).
"We also found that … a greater number of years living in the United States (β = 0.05; p = .006) … were associated with increased comprehension of informed consent." (Krankl, 2011, p. 83)
"Years in United States 0.05 0.01 to 0.09 .006" (Krankl, 2011, p. 84)
Methods Context #
What? #ⓘ
The observable: the adjusted effect of years living in the United States on the summary colposcopy knowledge score.
"Years in United States 0.05 0.01 to 0.09 .006" (Krankl, 2011, p. 84)
How? #ⓘ
Robust multivariate linear regression; years-in-US retained as a confounder (p < .05), estimated as change in mean score per category above the fewest-years reference.
"For a confounder to be included in the final regression model, the p-value had to be less than .05." (Krankl, 2011, p. 82)
Who? #ⓘ
The 149 complete-data colposcopy patients at two Boston hospitals; US residence differed markedly by language group.
"Average residence in United States (yrs ± SD) 26.5 ± 12.7 6.6 ± 4.7 <.001" (Krankl, 2011, p. 83)
Caveats #
- Exploratory analysis with no adjustment for multiple comparisons The analysis was exploratory and the type I error was not adjusted for multiple comparisons, so the many reported p-values should be interpreted cautiously and some significant associations may be chance findings. The authors argue the number of significant associations exceeds what chance alone would produce, but the secondary adjusted predictors (age, years in the US, insurance) in particular should be read as hypothesis-generating rather than confirmatory.