Address correspondence to Frank A. Sloan, Ph.D., Department of Economics, Box 90097, Duke University, Durham, North Carolina, 27708. Dr. Sloan is also with the Center for Health Policy, Law, and Management, Duke University. Derek S. Brown, Ph.D., is with the Research Triangle Institute, Durham, NC. Emily Streyer Carlisle, M. A., is with the School of Medicine, The Johns Hopkins University, Baltimore, MD. Gabriel A. Picone is with the Department of Economics, University of South Florida, Tampa, FL. Paul P. Lee, M.D., J.D., is with the Department of Ophthalmology, Duke University Medical Center.
Monitoring Visual Status: Why Patients Do or Do Not Comply with Practice Guidelines
Article first published online: 26 AUG 2004
Health Services Research
Volume 39, Issue 5, pages 1429–1448, October 2004
How to Cite
Sloan, F. A., Brown, D. S., Carlisle, E. S., Picone, G. A. and Lee, P. P. (2004), Monitoring Visual Status: Why Patients Do or Do Not Comply with Practice Guidelines. Health Services Research, 39: 1429–1448. doi: 10.1111/j.1475-6773.2004.00297.x
This research was supported in part by a grant from the National Institute on Aging, “Visual Impairment, Treatment, and Effects on the Elderly,” grant no. 1RO1-AG-17473. We thank Lynn Van Scoyoc for the statistical analysis.
- Issue published online: 26 AUG 2004
- Article first published online: 26 AUG 2004
- Practice guidelines;
- eye care;
- diabetes mellitus;
- age-related macular degeneration
Objective. To determine factors affecting compliance with guidelines for annual eye examinations for persons diagnosed with diabetes mellitus (DM) or age-related macular degeneration (ARMD).
Data Sources/Study Setting. Nationally representative, longitudinal sample of individuals 65+ drawn from the National Long-Term Care Survey (NLTCS) with linked Medicare claims records from 1991 to 1999.
Study Design. Medicare beneficiaries were followed from 1991 to 1999, unless mortality intervened. All claims data were analyzed for presence of ICD-9 codes indicating diagnosis of DM or ARMD and the performance of eye exams. The dependent variable was a binary indicator for whether a person had an eye exam or not during a 15-month period. Independent variables for demographics, living conditions, supplemental insurance, income, and other factors affecting the marginal cost and benefit of an eye exam were assessed to determine reasons for noncompliance.
Data Collection/Extraction Methods. Panel data were created from claims files, 1991–1999, merged with data from the NLTCS.
Principal Findings. The probability of having an exam reflected perceived benefits, which vary by patient characteristics (e.g., education, no dementia), and factors associated with the ease of visit. African Americans were much less likely to be examined than were whites.
Conclusions. Having an exam reflects multiple factors. However, much of the variation in the probability of an exam remained unexplained as were reasons for the racial differences in use.