|
% correct responses |
Overall |
<9 |
9-12 |
HS Grad |
College Grad |
Grad School |
Interpret frequency |
57.0 |
38.5 |
59.2 |
64.1 |
57.1 |
64.3 |
Interpret probability |
50.0 |
38.5 |
38.2 |
46.4 |
62.3 |
81.0 |
Multiply probability |
47.3 |
23.1 |
38.2 |
45.8 |
62.3 |
78.6 |
Convert probability to percentage |
29.5 |
15.4 |
26.3 |
31.4 |
32.5 |
31.0 |
DKP numeracy correlated moderately with DKP content knowledge (R=.463, P<.001) but weakly with sat-risk-com related to DMARD selection (R=.134, P<.002) and education (R=.191, P<.001). When patients with below and above mean scores on the sat-risk-com were compared, there was significant difference in DKP numeracy scores 1.85 and 2.08 respectively (P<.015). A multiple linear regression model predicting sat-risk-com using purposeful stepwise selection of covariates is sat-risk-com = 39.27 – 5.87 low income– 2.987 HAQii -3.76 +1.06 RA duration – 3.524 minority. Standardized regression coefficients: -.172, -.191, .099, and -.092. Overall model R = .374, R2 =.140 (p< .001). Controlling for major covariates and content knowledge, numeracy score did not add significantly to the predictive model. Conclusion: Numeracy was poor across education. However satisfaction with anti-rheumatic risk communication was overall high in this population. Satisfaction with risk communication about anti-rheumatic drugs was not well explained by patient risk related numeracy, income, disease experience, or minority status.