The majority of patients (55%) should travel 5 or more miles to get access to ophthalmologist. Logistic regression analyses revealed that block groups associated with less miles had a higher proportion of people with high median house values, high median income and more than 12 years education. Higher proportions of blacks and people older than 65 years were found in longer miles. The graph created from GAM controlling major socio-demographic variables demonstrated that retinopathy rate went down as distance increased and started increasing once distance reached 7.1 mile where retinopathy rate is the lowest (d.f.=4, p<0.001).
Our data suggested that risky groups are remote from ophthalmic manpower and retinopathy was associated with geographic distance. Geographic distance should therefore be considered when planning state-wide ophthalmic manpower programmes for high risk populations.
Learning Objectives:
1. Calculate the distances between block group centriod and each eye center with medical dotor(s).
2. Identify the community-level socio-demographic variables impacting on traveling miles.
3. Determine the relationship between combined risk factors for retinopathy and distance.
Keywords: Access to Health Care, Geocoding
Qualified on the content I am responsible for because: I initiated the study, wrote part of abstract, and conducted statistical analysis.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
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