Table 3.

Multivariate Predictors of Delay to Diagnosis after an Abnormal Mammogram

CharacteristicOR (95% CI)*P Value
Age1.00 (0.98–1.02).934
Race/ethnicity
    Hispanic0.662 (0.40–1.10).112
    White1.129 (0.43–2.94).804
    Other0.740 (0.38–1.46).384
    Black1.0
Insurance
    Medicaid1.644 (0.96–2.77).062
    Medicare1.548 (0.75–3.21).240
    Private0.360 (0.15–0.89).027
    Uninsured1.0
Primary care physician
    FM0.242 (0.09–0.69).008
    IM0.635 (0.38–1.07).090
    OB-GYN0.871 (0.49–1.55).636
    Other/none1.0
Employment status
    Employed0.892 (0.53–1.51).669
    Unemployed1.0
Patient felt lump
    Yes0.681 (0.43–1.09).106
    No1.0
Pathology result
    Benign1.0
    Cancer0.324 (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.