Details:

Alternative Title:
BMC Med Res Methodol
Publisher's site:
http://dx.doi.org/10.1186/s12874-017-0328-2
Personal Author:
Brinks, Ralph ; Hoyer, Annika ; Rolka, Deborah B. ; Kuss, Oliver ; Gregg, Edward W.
Brinks, Ralph ; Hoyer, Annika ; Rolka, Deborah B. ; Kuss, Oliver ; Gregg, Edward W. Less -
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.


Subject:
[+]
Case-finding Chronic Disease Compartment Model Diabetes Incidence Prevalence Research Article Screening Undiagnosed Disease
Source:
BMC Med Res Methodol. 17.
Pubmed ID:
28399821
Pubmed Central ID:
PMC5387346
Document Type:
Journal Article
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:61d7bf66b8a4baee4c04c4d8723e7c66c7cc949a13aee5264d10443f0a4d976e
Download URL:
https://stacks.cdc.gov/view/cdc/45174/cdc_45174_DS1.pdf
File Type:

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