Table 4.
Logistic regression analysis of factors related to delays between healthcare contact and treatmenta for Lyme disease.
| Study sample (n = 718b) unweighted | Source population weightedc | |
|---|---|---|
| Respondent characteristic | Odds Ratio (95% CI) | Odds Ratio (95% CI) |
| Age | 0.98 (0.97, 1.00) | 0.98 (0.96, 1.00) |
| Sex, female | 0.96 (0.64, 1.43) | 1.06 (0.66, 1.71) |
| Insuranced | ||
| Privately insured | Ref | Ref |
| Medicaid only or with Medicare | 1.43 (0.72, 2.84) | 1.09 (0.48, 2.50) |
| No health insurance | 1.13 (0.41, 3.18) | 1.13 (0.40, 3.21) |
| Medicare only | 0.51 (0.22, 1.17) | 0.75 (0.25, 2.28) |
| Rash accompanied Lyme disease | 0.52 (0.34, 0.78) | 0.56 (0.34, 0.91) |
| Diagnosis season | ||
| May–October | Ref | Ref |
| November–April | 2.07 (1.32, 3.25) | 2.36 (1.37, 4.07) |
| Chronic fatigue syndromee | 5.03 (1.90, 13.29) | 5.02 (1.79, 14.12) |
a
Delay characterized as >14 days (vs. ≤ 14 days) from first contact with a medical provider to treatment for Lyme disease, as reported by respondents.
b
Data on rash and diagnosis season missing for 60 respondents.
c
Weighted by participation rates.
d
Self-reported insurance coverage at time of Lyme diagnosis.
e
Self-reported diagnosis (yes vs. no) by a doctor that occurred prior to Lyme disease.