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. Author manuscript; available in PMC: 2006 Jun 1.
Published in final edited form as: Pediatrics. 2004 Mar;113(3 Pt 1):e190–e196. doi: 10.1542/peds.113.3.e190

TABLE 3.

Logistic Regression Analysis of the Factors Associated With the Receipt of Eye Care in Urban and Rural Counties*

Urban, OR (95% CI) Rural, OR (95% CI)
Age, y
 ≤5 0.24 (0.23-0.25) 0.25 (0.230.27)
 6-8 1 (Reference) 1 (Reference)
 9-13 1.56 (1.51-1.61) 1.53 (1.43-1.63)
 14-16 1.66 (1.60-1.73) 1.60 (1.48-1.73)
 17-18 1.40 (1.33-1.47) 1.36 (1.24-1.50)
Gender
 Male 1 (Reference) 1 (Reference)
 Female 1.24 (1.21-1.27) 1.20 (1.14-1.26)
Race/ethnicity
 Hispanic or nonwhite 1 (Reference) 1 (Reference)
 Non-Hispanic white 1.37 (1.34-1.40) 0.97 (0.89-1.06)
Medicaid insurance type
 Mostly managed care 1 (Reference) 1 (Reference)
 Mixed fee-for-service/managed care 0.95 (0.92-0.99) 1.00 (0.93-1.08)
 Mostly fee-for-service 1.69 (1.60-1.79) 1.30 (1.20-1.42)
Eye care supply in county of residence
 Low (<25th percentile) 1 (Reference) 1 (Reference)
 Medium (25th-75th percentile) 0.71 (0.66-0.76) 1.09 (1.03-1.16)
 High (>75th percentile) 0.74 (0.69-0.79) 1.11 (1.03-1.19)
*

Overall, rural children had greater odds of receiving eye care (adjusted OR: 1.24; P < .001). ORs and 95% CIs are adjusted for all factors listed.