Q J Med 2001; 94: 341-346
© 2001 Association of Physicians
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The use of capture-recapture techniques in determining the prevalence of type 2 diabetes
1 From the Department of Medicine, University Hospital Aintree, Liverpool and 2 Division of Tropical Medicine, Liverpool School of Tropical Medicine, Liverpool, UK
| Introduction |
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Knowledge of the epidemiology of diabetes and its complications is vital for planning the provision of appropriate health care. Traditional methods of counting diabetes in a given population are sometimes not feasible because of time and financial restraints. A potential answer to these problems may be the use of capture-recapture (CR) techniques. These have been applied to diabetes, primarily to assess the incidence of type 1 diabetes in children.1,2 Widespread use of these techniques to determine the prevalence of type 2 diabetes has yet to be realized. This review examines the advantages and limitations of CR techniques, particularly in the assessment of type 2 diabetes prevalence.
| Traditional epidemiology and diabetes |
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Cross-sectional diagnostic surveys, postal questionnaires, house-to-house surveys, and cohort surveys are the methods most commonly used to determine the prevalence or incidence of diabetes. Applying diagnostic tests such as the oral glucose tolerance test (OGTT) or fasting plasma glucose (FPG) in a given population
| Capture-recapture and diabetes |
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| The technique of capture-recapture |
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Assumption 1: the study population is closed
Assumption 2: the lists are independent of one another
Assumption 3: all members of the population have the same probability of being captured
Assumption 4: all population members can be matched on all lists
Data sources
Patient identifiers
| Two-list capture-recapture |
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| Multiple-list capture-recapture |
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| CR in action for type 2 diabetes prevalence studies |
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| Conclusion |
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| Notes |
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| References |
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