Comparison of surveillance-based metrics for the assessment and monitoring of disease detection: simulation study about type 2 diabetes
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Apr 11 2017
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Available in CDC Stacks on 2017-04-11T00:00:00Z
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English
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Alternative Title:BMC Med Res Methodol
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Description:Background ; Screening and detection of cases are a common public health priority for treatable chronic conditions with long subclinical periods. However, the validity of commonly-used metrics from surveillance systems for rates of detection (or case-finding) have not been evaluated. ; Methods ; Using data from a Danish diabetes register and a recently developed illness-death model of chronic diseases with subclinical conditions, we simulate two scenarios of different performance of case-finding. We report different epidemiological indices to assess case-finding in both scenarios and compare the validity of the results. ; Results ; The commonly used ratio of detected cases over total cases may lead to misleading conclusions. Instead, the ratio of undetected cases over persons without a diagnosis is a more valid index to distinguish the quality of case-finding. However, incidence-based measures are preferable to prevalence based indicators. ; Conclusion ; Prevalence-based indices for assessing case-finding should be interpreted with caution. If possible, incidence-based indices should be preferred. ; Electronic supplementary material ; The online version of this article (doi:10.1186/s12874-017-0328-2) contains supplementary material, which is available to authorized users.
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Subjects:
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Source:BMC Med Res Methodol. 17.
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Pubmed ID:28399821
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Pubmed Central ID:PMC5387346
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Document Type:
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Volume:17
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Main Document Checksum:urn:sha-512:c705cbf28f2140e973d9ee7a23067086bcd6cd730f6e87ab7277bd7b3f79ac4b6f94b302411d44e0a8feef665b2c7f163a884e9b03a61783b733b523de55a96b
Supporting Files
File Language:
English
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