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Those with least and most severe symptoms most likely to be accurate Sample of 1649 veterans Holowka et al. (2014) Evaluate diagnosis of schizophrenia in EMR compared with chart review by psychiatrist Diagnostic accuracy Prevalence of schizophrenia was 14%% by coding, dropping to 1.8 % with manual review.
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This is of interest because we can read half as many slides to achieve the same accuracy of prevalence estimation in regions with below 30% prevalence.
Hence, the estimates of both test accuracy and prevalence are strongly biased due to disease misclassification by the imperfect gold standard.
This might alter the accuracy of prevalence estimates or the significance testing for some variables.
This is of interest because we can read half as many slides to achieve the same accuracy of prevalence estimation.
One of the main objectives of this study was to record with accuracy the prevalence of alcohol consumption in the pre-conceptional period and during early pregnancy.
However, there is the caveat that some regions had a small sample size, which questions the accuracy of prevalence estimates per region, so findings should be interpreted with caution.
The existing evidence is not, however, sufficient to determine how protein to creatinine ratio should be used in clinical practice, owing to the heterogeneity in test accuracy and prevalence across studies.
Capture-recapture analysis, which relies on identifying unique individuals across multiple datasets, can potentially improve the accuracy of prevalence estimation, and has been applied in municipalities outside the US to estimate populations of illicit drug users [ 32- 35].
Some regions and Ethiopian Demographic and Health Survey (EDHS) clusters had small sample sizes, which raises the question about the accuracy of prevalence estimates per region, so that those should be interpreted with caution.
In this context, the IOM report (IOM 2008) stated that Observational studies are generally the most appropriate for answering questions related to prognosis, diagnostic accuracy, incidence, prevalence, and etiology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com