Table 5.

Underinsured Versus Adequately Insured: Odds Ratios of Being Underinsured by Patient Demographic and Insurance Characteristics

Demographic VariableUnderinsured Versus Adequately Insured (n = 948)
Odds Ratio (95% CI)P
Sex
    Female2.25 (1.56–3.24)
    Unknown1.28 (0.80–2.05)<.001
    Male1.00 (1.00–1.00)
Age
    ≤172.51 (1.31–4.81)
    18–396.18 (3.86–9.92)<.001
    40–644.39 (2.74–7.04)
     ≥651.00 (1.00–1.00)
Race/ethnicity*
    African-American (non-Hispanic)2.63 (1.44–4.83)
    Hispanic1.76 (1.26–2.45).001
    Other (non-Hispanic)0.84 (0.42–1.69)
    White (non-Hispanic)1.00 (1.00–1.00)
Rural
    Yes0.85 (0.56–1.29).462
    No1.00 (1.00–1.00)
Annual income
    <$25,0002.70 (1.85–3.94)
    $25,000–$49,9992.69 (1.76–4.10)<.001
    Missing0.92 (0.52–1.62)
    ≥$50,0001.00 (1.00–1.00)
General health status
    Poor/fair2.15 (1.59–2.89)
    Missing0.85 (0.37–1.94)<.001
    Good/excellent1.00 (1.00–1.00)
I pay or a family member pays for my insurance
    Yes1.01 (0.76–1.34).967
    No1.00 (1.00–1.00)
My employer or a family member's employer pays for my insurance
    Yes0.65 (0.46–0.90).010
    No1.00 (1.00–1.00)
Government pays for my insurance
    Yes0.95 (0.72–1.26).722
    No1.00 (1.00–1.00)
Health suffered from inability to get care because of cost*
    Yes79.21 (38.34–163.64)<.001
    No/don't know1.00 (1.00–1.00)
Medicaid
    Yes1.21 (0.89–1.64).219
    No1.00 (1.00–1.00)
Medicare
    Yes0.47 (0.34–0.64)<.001
    No1.00 (1.00–1.00)
  • * Bolded values indicate statistical association at α = 0.01.

  • Note: Estimated odds ratio and 95% CI are large when underinsured versus insured respondents are compared. This is because of the small number of insured respondents (n = 8) who reported that their health suffered because of high costs.