J Prev Med Public Health.
2009 Mar;42(2):135-142. 10.3961/jpmph.2009.42.2.135.
An Evaluation of Sampling Design for Estimating an Epidemiologic Volume of Diabetes and for Assessing Present Status of Its Control in Korea
- Affiliations
-
- 1Department of Public Health, Korea University Graduate School, Korea.
- 2Department of Social and Preventive Medicine, College of Medicine, Hallym University, Korea.
- 3Department of Internal Medicine, College of Medicine, Korea University, Korea.
- 4Department of Endocrinology of Metabolism, Gachon University of Science and Medicine, Korea.
- 5Department of Biostatistics, College of Medicine, Korea University, Korea. jyleeuf@korea.ac.kr
- KMID: 797668
- DOI: http://doi.org/10.3961/jpmph.2009.42.2.135
Abstract
OBJECTIVES
An appropriate sampling strategy for estimating an epidemiologic volume of diabetes has been evaluated through a simulation.
METHODS
We analyzed about 250 million medical insurance claims data submitted to the Health Insurance Review & Assessment Service with diabetes as principal or subsequent diagnoses, more than or equal to once per year, in 2003. The database was re-constructed to a 'patient-hospital profile' that had 3,676,164 cases, and then to a 'patient profile' that consisted of 2,412,082 observations. The patient profile data was then used to test the validity of a proposed sampling frame and methods of sampling to develop diabetic-related epidemiologic indices.
RESULTS
Simulation study showed that a use of a stratified two-stage cluster sampling design with a total sample size of 4,000 will provide an estimate of 57.04% (95% prediction range, 49.83 - 64.24%) for a treatment prescription rate of diabetes. The proposed sampling design consists, at first, stratifying the area of the nation into "metropolitan/city/county" and the types of hospital into "tertiary/secondary/primary/clinic" with a proportion of 5:10:10:75. Hospitals were then randomly selected within the strata as a primary sampling unit, followed by a random selection of patients within the hospitals as a secondly sampling unit. The difference between the estimate and the parameter value was projected to be less than 0.3%.
CONCLUSIONS
The sampling scheme proposed will be applied to a subsequent nationwide field survey not only for estimating the epidemiologic volume of diabetes but also for assessing the present status of nationwide diabetes control.
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