Multivariate Predictors of Delay to Diagnosis after an Abnormal Mammogram
Characteristic | OR (95% CI)* | P Value |
---|---|---|
Age† | 1.00 (0.98–1.02) | .934 |
Race/ethnicity | ||
Hispanic | 0.662 (0.40–1.10) | .112 |
White | 1.129 (0.43–2.94) | .804 |
Other | 0.740 (0.38–1.46) | .384 |
Black | 1.0 | |
Insurance | ||
Medicaid | 1.644 (0.96–2.77) | .062 |
Medicare | 1.548 (0.75–3.21) | .240 |
Private | 0.360 (0.15–0.89) | .027 |
Uninsured | 1.0 | |
Primary care physician | ||
FM | 0.242 (0.09–0.69) | .008 |
IM | 0.635 (0.38–1.07) | .090 |
OB-GYN | 0.871 (0.49–1.55) | .636 |
Other/none | 1.0 | |
Employment status | ||
Employed | 0.892 (0.53–1.51) | .669 |
Unemployed | 1.0 | |
Patient felt lump | ||
Yes | 0.681 (0.43–1.09) | .106 |
No | 1.0 | |
Pathology result | ||
Benign | 1.0 | |
Cancer | 0.324 (0.17–0.61) | <.001 |
* ORs and 95% CI for diagnostic interval >60 days adjusted for age, race/ethnicity, insurance, primary care physician, employment status, patient felt lump, and pathology result using multivariate logistic regression.
† OR represents change in odds of diagnostic interval >60 days per year of increasing age.